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Introduction to Yield in Python

When we write a function, which should perform some operation and provide some result back, we generally use the return statement for returning the result.The yield statement is only used when defining a generator function and is only used in the body of the generator function. Yield are used in Python generators. A python generator is defined like a normal function, but whenever it will needto generate a value, it does so with the yield keyword rather than return. If the body of a def function contains yield, the function will becomea generator function. A Python generator is a function return a generator iterator (just an object we can iterate over) by calling yield .Yield maybe called with a value, in which case that value is treated as the "generated" value. Yield is a keyword in Python that will used to return from a function without destroying the states of its local variable and when the function is called, the execution starts from the last yield statement. Return sends a value back to its caller, whereas yield can produce a sequence of values. We must use yield when we want to iterate over a sequence but don't want to store the entire sequence in memory so in that case you can use yield Python generators. The function will continue the execution immediately after the last yield run. It will allow its code to produce a series of values and sending them back like a list.Example:In the above example, yield is the keyword and 1, 2, 3 are the values that will store in the generator and to print the value inside the generator we are using for loop. We can use yield when we want to iterate over a sequence, but don't want to store the entire sequence in memory.Explaining the Iterables: To understand what yield does, you must understand what generators are. And before generators come iterables.Aniterable is any Python object capable of returning its members one at a time, permitting it to be iterated over in a for-loop. Ex- iterables include lists, tuples, and strings - any such sequence can be iterated over in a for-loop. In simpler words, whatever that will appear on the right-side of a for-loop: for x in iterable: is aniterable.Iterablecan be anything that you can loop over with a for loop.An object can becallediterable,if we can get an iterator from iterable. Maximum built-in containers in Python like: list, tuple, string etc. areiterables.Important property(Method) of an iterable is that it has an __iter__() method or iter() method which allows any iterable to return an iterator object. Sequences Sequences are a very common type of iterable. Ex- for built-in sequence types are lists, strings, and tuples.Iterable will support element access using integer indices via the __getitem()__ special method (indexing) and define a __length()__ method that returns the length of the sequence. Also, we can use the slicing technique on them.Other IterablesMany things in Python are iterables, but not all of them are sequences. Dictionaries, file objects, sets, and generators all are iterables, but none of them is a sequence.We can loop over an iterable without using a for loop. Some of us may think that we can use a while loop and generate indices to get this output.It seems that this approach works very well for lists and other sequence objects as well. What about the non-sequence objects? They don’t support indexing, so this approach will not work for them, we will get an error.But how the Python’s for loop works on these iterables then? We can see that it works with sets.When you create a list, you can read its items one by oneWhat is an Iterator? Iterator is an object which can be looped through and maintains its state during the iteration which means it remembers where it is during an iteration. An iterator is an object that enables a programmer to traverse a container, particularly lists. Different types of iterators are often provided via a container's interface. It has a __next__() method that returns the next value from the iteration and updates the state to point at the next value. Iterator is simplyan object that can be iterated upon. An object it will return data, one element at a time.Python iterator object must implement two special methods, that is __iter__() and __next__() , collectively called the iterator protocol.Thepurpose of an iterator is allow to process with every element of a container while isolating the user from the internal structure of the container. The container provides the methods for creating iterators. Iterator is an object and it will represent a stream of data. You can create an iterator object by applying the iter() function to an iterable.Difference between iterable and iterator. Iterable is an object, which can iterate over. It will create an Iterator when passed to iter() method. Iterator is an object, which is used to iterate over an iterable object using __next__() method. For example, a list is iterable but a list is not an iterator.When we will apply the iter() function to an iterable we will get an iterator. If we will call the iter() function on an iterator it will give us itself back in python.You can use an iterator to manually loop over the iterable it came from. if repeated passing of iterator to the built-in function next() it will return successive items in the stream. Once, when you consumed an item from an iterator, it has gone. When data aren’t available it will give us a StopIteration and exception is raised.Iterators also have the __iter__() method and it will return self object.List is an iterable. When you will use a list comprehension, you create a list, and so an iterableThese iterables are handy because you can read them, but you store all the values in memory and it’s not always what you want when you have a lot of values. Iterator Protocol The iterator objects are required to support the following two methods, which together form the iterator protocol: iterator.__iter__() Return the iterator object itself. This is required to allow both containers and iterators to be used with the for statements. iterator.__next__() Return the next item from the container. If there are no items, then it will raise the StopIteration exception. We have seen some examples with iterators. Python has many built-in-classes that are iterators. Ex- an enumerate and reversed objects are iterators. Enumerate ExampleReversed ExampleThe Python’s zip, map and filer objects are also iterators. Explaining the Generators: A Generator is a function use to store the value by using yield keyword. A function which returns a generator iterator. This is a normal function only except that it will contains yield expressions for producing a series of values usable in a for-loop or that can be retrieved one at a time with the next() function in python.If function will contains the yield keyword then that function will become a generator and you can print the value by using for loop.You can convert a function into generator simply you need to use yield keyword in below example you can see that we can use multiple yield statement to return the dataIn above example, we defined new_generator() function in this we have assign a variable n and giving the value as 1 then print the statement and then yield the valueIf we execute generator function as a normal function then it will give us the object so for that we have to store the function in the variable x then we have use next method for executionYielding into Python List:We can use directly generator for making a list and we can store the value inside the mylist then we can print the mylist by using for loopPython Generators with a Loop:In the below example, we defined a function i.e. reverse_string and it is a generator because we are using yield keyword and we are iterating each word from the statementGenerator Expressions in Python: We use a generator function or generator expression when we want to create a custom iterator. They are simpler to use and need less code to achieve the output. Generator expressions are similar to the list comprehensions,Just like a list comprehension, the general expressions are concise. In most cases, they use to written in one line of code.An expression that returns an iterator. It looks like a normal expression followed by a for expression defining a loop variable, range, and an optional if expression ex,We can also add a conditional expression on the iterable. You can see in the above example, we did square root of the even number, we directly print the value without store the single value and we print the class i.e. generator  Explaining the Yield: Yield is a simple statement. Its primary job is to control the flow of a generator function similar tothat return statements. Yield that is used to return from a function without destroying the states of its local variable and when the function is called, the execution starts from the last yield statement. Any function that will present a yield keyword is termed as generator When you call a generator function or use a generator expression, you return a iterator called a generator. You can try to assign this generator to a variable in order to use it. When you will call to special methods on the generator, such as next(), the code within the function is executed till yield. When the yield statement is hit, the program suspends function execution and returns the yielded value to the caller. (Return stops function execution completely.) When a function is suspended, the state of that function is saved. This includes any variable bindings local to the generator in python, the instruction pointer, the internal stack, and any exception handling. This allows you to resume function execution whenever you will call one of the generator’s methods. Like this, all function evaluation picks back up right after yield. You can see this in action by using multiple yield statements:In the above example, we defined a function i.e. counter consist of while loop which has one condition (x < 5) and is yielding the value of x and then it will increment by 1. If we use yield keyword in the function then that function will become as Generator Yield is the special keyword in python, yield will know what it execute in the last time.In the above function, when we executed first time we are getting 0 as output but in the second execution it will increment by 1 and we got 1 as output and again it will iterate the loop till the condition will not satisfy. When we use yield keyword in the function it will store the state of the local variableExample:In the above example, you can see that with the help of yield keyword It is easy to find the word inside the string statement and it will count the number of times that word will occur because yield keyword will know the last state Benefits of yield: Using a yield statement in a function definition is sufficient to cause that definition to create a generator function instead of a normal function. We should use yield when we want to iterate over a sequence but don't want to store the entire sequence in memory yield is used in Python generators. A generator function or expression will defined like a normal function, but whenever it needs to generate a value, it does so with the yield keyword rather than return. Conclusion:In this tutorial, you have learned about Iterable, Generator functions, Yield Iterable: An iterable is something you can loop over. Sequences are a very common type of iterable. So many things in Python are iterables, but not all of them are in sequences. An iterator is an object and it will represent a stream of data. It does the iterating over an iterable. You can use an iterator in python to get the next value or to loop over it. Once, your loop over an iterator, there are no more stream values. Additionally, in Python, the iterators are also iterables which act as their own iterators. However, the difference is that iterators don’t have some of the features that some iterables have. They don’t have length and can’t be indexed. Many built-in classes in Python are iterators. Generator: We have learnt, how to use and write generator functions and generator expressions A generator function is a function which returns an iterator. A generator expression is an expression that returns an iterator. Yield: The yield keyword in python is used to return a value from a function(just like return ) but this keyword also maintains the state of the local variables of the function and when the function is called again in python, the execution is started from the yield statement executed last time. We should use python yield when we want to iterate over a sequence but don't want to store the entire sequence in memory

Introduction to Yield in Python

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Introduction to Yield in Python

When we write a function, which should perform some operation and provide some result back, we generally use the return statement for returning the result.The yield statement is only used when defining a generator function and is only used in the body of the generator function. Yield are used in Python generators. A python generator is defined like a normal function, but whenever it will needto generate a value, it does so with the yield keyword rather than return. If the body of a def function contains yield, the function will becomea generator function. 

A Python generator is a function return a generator iterator (just an object we can iterate over) by calling yield .Yield maybe called with a value, in which case that value is treated as the "generated" value. Yield is a keyword in Python that will used to return from a function without destroying the states of its local variable and when the function is called, the execution starts from the last yield statement. Return sends a value back to its caller, whereas yield can produce a sequence of values. We must use yield when we want to iterate over a sequence but don't want to store the entire sequence in memory so in that case you can use yield Python generators. The function will continue the execution immediately after the last yield run. It will allow its code to produce a series of values and sending them back like a list.

Example:

Introduction to Yield in Python

In the above example, yield is the keyword and 1, 2, 3 are the values that will store in the generator and to print the value inside the generator we are using for loop. We can use yield when we want to iterate over a sequence, but don't want to store the entire sequence in memory.

Explaining the Iterables: 

To understand what yield does, you must understand what generators are. And before generators come iterables.Aniterable is any Python object capable of returning its members one at a time, permitting it to be iterated over in a for-loop. Ex- iterables include lists, tuples, and strings - any such sequence can be iterated over in a for-loop. 

In simpler words, whatever that will appear on the right-side of a for-loop: for x in iterable:  is aniterable.Iterablecan be anything that you can loop over with a for loop.An object can becallediterable,if we can get an iterator from iterable. Maximum built-in containers in Python like: list, tuple, string etc. areiterables.Important property(Method) of an iterable is that it has an __iter__() method or iter() method which allows any iterable to return an iterator object. 

Sequences 

Sequences are a very common type of iterable. Ex- for built-in sequence types are lists, strings, and tuples.

Introduction to Yield in Python

Iterable will support element access using integer indices via the __getitem()__ special method (indexing) and define a __length()__ method that returns the length of the sequence. 

Also, we can use the slicing technique on them.

Introduction to Yield in Python

Other Iterables

Many things in Python are iterables, but not all of them are sequences. Dictionaries, file objects, sets, and generators all are iterables, but none of them is a sequence.

Introduction to Yield in Python

We can loop over an iterable without using a for loop. Some of us may think that we can use a while loop and generate indices to get this output.

Introduction to Yield in Python

It seems that this approach works very well for lists and other sequence objects as well. What about the non-sequence objects? They don’t support indexing, so this approach will not work for them, we will get an error.

Introduction to Yield in Python

But how the Python’s for loop works on these iterables then? We can see that it works with sets.

Introduction to Yield in Python

When you create a list, you can read its items one by one

Introduction to Yield in Python

What is an Iterator? 

Iterator is an object which can be looped through and maintains its state during the iteration which means it remembers where it is during an iteration. An iterator is an object that enables a programmer to traverse a container, particularly lists. Different types of iterators are often provided via a container's interface. 

It has a __next__() method that returns the next value from the iteration and updates the state to point at the next value. Iterator is simplyan object that can be iterated upon. An object it will return data, one element at a time.Python iterator object must implement two special methods, that is __iter__() and __next__() , collectively called the iterator protocol.Thepurpose of an iterator is allow to process with every element of a container while isolating the user from the internal structure of the container. The container provides the methods for creating iterators. Iterator is an object and it will represent a stream of data. You can create an iterator object by applying the iter() function to an iterable.

Introduction to Yield in Python

Difference between iterable and iterator. Iterable is an object, which can iterate over. It will create an Iterator when passed to iter() method. Iterator is an object, which is used to iterate over an iterable object using __next__() method. For example, a list is iterable but a list is not an iterator.

Introduction to Yield in Python

When we will apply the iter() function to an iterable we will get an iterator. If we will call the iter() function on an iterator it will give us itself back in python.

Introduction to Yield in Python

You can use an iterator to manually loop over the iterable it came from. if repeated passing of iterator to the built-in function next() it will return successive items in the stream. Once, when you consumed an item from an iterator, it has gone. When data aren’t available it will give us a StopIteration and exception is raised.

Introduction to Yield in Python

Iterators also have the __iter__() method and it will return self object.
List is an iterable. When you will use a list comprehension, you create a list, and so an iterable

Introduction to Yield in Python

These iterables are handy because you can read them, but you store all the values in memory and it’s not always what you want when you have a lot of values. 

Iterator Protocol 

The iterator objects are required to support the following two methods, which together form the iterator protocol: 

  • iterator.__iter__() Return the iterator object itself. This is required to allow both containers and iterators to be used with the for statements. 
  • iterator.__next__() Return the next item from the container. If there are no items, then it will raise the StopIteration exception. 

We have seen some examples with iterators. Python has many built-in-classes that are iterators. Ex- an enumerate and reversed objects are iterators. 

Enumerate Example

Introduction to Yield in Python

Reversed ExampleIntroduction to Yield in PythonThe Python’s zip, map and filer objects are also iterators. 

Explaining the Generators: 

A Generator is a function use to store the value by using yield keyword. A function which returns a generator iterator. This is a normal function only except that it will contains yield expressions for producing a series of values usable in a for-loop or that can be retrieved one at a time with the next() function in python.If function will contains the yield keyword then that function will become a generator and you can print the value by using for loop.You can convert a function into generator simply you need to use yield keyword in below example you can see that we can use multiple yield statement to return the data

Introduction to Yield in Python

In above example, we defined new_generator() function in this we have assign a variable n and giving the value as 1 then print the statement and then yield the value

If we execute generator function as a normal function then it will give us the object so for that we have to store the function in the variable x then we have use next method for execution

Yielding into Python List:

We can use directly generator for making a list and we can store the value inside the mylist then we can print the mylist by using for loop

Introduction to Yield in Python

Python Generators with a Loop:

In the below example, we defined a function i.e. reverse_string and it is a generator because we are using yield keyword and we are iterating each word from the statement

Introduction to Yield in Python

Generator Expressions in Python: 

We use a generator function or generator expression when we want to create a custom iterator. They are simpler to use and need less code to achieve the output. 

Generator expressions are similar to the list comprehensions,Just like a list comprehension, the general expressions are concise. In most cases, they use to written in one line of code.

Introduction to Yield in Python

An expression that returns an iterator. It looks like a normal expression followed by a for expression defining a loop variable, range, and an optional if expression ex,

Introduction to Yield in Python

We can also add a conditional expression on the iterable. Introduction to Yield in Python

You can see in the above example, we did square root of the even number, we directly print the value without store the single value and we print the class i.e. generator  

Explaining the Yield: 

Yield is a simple statement. Its primary job is to control the flow of a generator function similar tothat return statements. Yield that is used to return from a function without destroying the states of its local variable and when the function is called, the execution starts from the last yield statement. Any function that will present a yield keyword is termed as generator 

When you call a generator function or use a generator expression, you return a iterator called a generator. You can try to assign this generator to a variable in order to use it. When you will call to special methods on the generator, such as next(), the code within the function is executed till yield. 

When the yield statement is hit, the program suspends function execution and returns the yielded value to the caller. (Return stops function execution completely.) When a function is suspended, the state of that function is saved. This includes any variable bindings local to the generator in python, the instruction pointer, the internal stack, and any exception handling. 

This allows you to resume function execution whenever you will call one of the generator’s methods. Like this, all function evaluation picks back up right after yield. You can see this in action by using multiple yield statements:

Introduction to Yield in Python

Introduction to Yield in Python

In the above example, we defined a function i.e. counter consist of while loop which has one condition (x < 5) and is yielding the value of x and then it will increment by 1. 

If we use yield keyword in the function then that function will become as Generator 

Introduction to Yield in Python

Yield is the special keyword in python, yield will know what it execute in the last time.In the above function, when we executed first time we are getting 0 as output but in the second execution it will increment by 1 and we got 1 as output and again it will iterate the loop till the condition will not satisfy. When we use yield keyword in the function it will store the state of the local variable

Example:

Introduction to Yield in Python

In the above example, you can see that with the help of yield keyword It is easy to find the word inside the string statement and it will count the number of times that word will occur because yield keyword will know the last state 

Benefits of yield: 

  • Using a yield statement in a function definition is sufficient to cause that definition to create a generator function instead of a normal function. 
  • We should use yield when we want to iterate over a sequence but don't want to store the entire sequence in memory 
  • yield is used in Python generators. A generator function or expression will defined like a normal function, but whenever it needs to generate a value, it does so with the yield keyword rather than return. 

Conclusion:

In this tutorial, you have learned about Iterable, Generator functions, Yield 

Iterable: 

  • An iterable is something you can loop over. 
  • Sequences are a very common type of iterable. 
  • So many things in Python are iterables, but not all of them are in sequences. 
  • An iterator is an object and it will represent a stream of data. It does the iterating over an iterable. You can use an iterator in python to get the next value or to loop over it. Once, your loop over an iterator, there are no more stream values. 
  • Additionally, in Python, the iterators are also iterables which act as their own iterators. 
  • However, the difference is that iterators don’t have some of the features that some iterables have. They don’t have length and can’t be indexed. 
  • Many built-in classes in Python are iterators. 

Generator: 

  • We have learnt, how to use and write generator functions and generator expressions 
  • A generator function is a function which returns an iterator. 
  • A generator expression is an expression that returns an iterator. 

Yield: 

The yield keyword in python is used to return a value from a function(just like return ) but this keyword also maintains the state of the local variables of the function and when the function is called again in python, the execution is started from the yield statement executed last time. We should use python yield when we want to iterate over a sequence but don't want to store the entire sequence in memory

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These algorithms can be fine-tuned with the help of hyperparameters. This library contains many useful functions for preprocessing of data, useful metrics to measure performance of algorithms and optimization techniques.  AdvantagesIt is a general Machine Learning library built on top of Numpy, Pandas and Matplotlib. Simple to understand and use even for novice programmers. Useful Machine Learning Algorithms, both Supervised and Unsupervised, are implemented. Popular library for doing Machine Learning related tasks. Rich in Data Preprocessing and Data Sampling functions and techniques. Plethora of evaluation measures implemented to track the performance of algorithms. Very effective for quick coding and building Machine Learning Models. DisadvantagesScikit learn, as is based on Numpy, requires additional support to run on GTP and TPU Performance is an issue with size of data. Best suitable for basic Machine Learning applications. This library may be useful if one wants to write easy code, but it’s not the best choice for more detailed learning. 7. NLTK Natural Language processing is a great field of study for developers who like to research and challenge themselves. This library provides a base for Natural Language processing by providing simple functionalities to work with and understand languages.AdvantagesVery simple to use for processing natural language data. Many basic functionalities like tokenizing the words, removal of stop words, conversion to word vectors etc. are provided which forms the basis to start with natural language processing models. It is an amazing library to play with natural language using Python. It has more than 50 trained models and lexical resources like wordnet available for use. Rich discussion forums and many examples are available to discuss how to use this library effectively. DisadvantagesIt is based on string processing, which itself has many limitations. Slower as compared to other Natural Language processing libraries like Spacy.8. Keras Keras is a library written in Python for Neural Network programming. It offers a very simple interface to code the neural network and related algorithms. It is an incredibly popular library for Deep Learning algorithms, models and applications and can also be combined with various deep learning frameworks. It provides support for GPU and TPU computation of algorithms. The API provided is simple, same as Scikit-learn. Keras is totally based on Models and Graphs. A model has Input, output and intermediate layers to perform the various tasks as per requirement. Effective functionalities and models provided to code deep learning algorithms like Neural Network, Recurrent Neural Network, Long Short-Term memory, Autoencoders etc. Allows to create products easily supporting multiple backends Supports multi-platform use. Can be used with TensorFlow, can be used in browser using web based keras and provides native ML support for iPhone app development. 9. TensorFlow TensorFlow is the talk of the town because of its capabilities suitable for Machine Learning and Deep Learning models. It is one of the best, and most popular frameworks, adopted by companies around the world for Machine Learning and Deep Learning. Its support for Web as well as Mobile application coupled with Deep Learning models has made it popular among engineers and researchers. Many giants like IBM, Dropbox, Nvidia etc. use TensorFlow for creating and deploying Machine Learning Models. This library has many applications like image recognition, video analysis, speech recognition, Natural Language Processing, Recommendation System etc. TensorFlow lite and TensorFlow JS has made it more popular for web applications and Mobile Applications. Advantages Developed by Google, it is one of the best deep learning frameworks. Simple Machine Learning tasks are also supported in TensorFlow. Supports many famous libraries like scikit learn, Keras etc. which are part of TensorFlow. The basic unit is Tensor which is an n-dimensional array. The basic derivatives are inherently computed which helps in developing many Machine learning Models easily. The models developed are supported on CPT, TPU and GPU. Tensorboard is the effective tool for data visualization. Many other supported tools are available to facilitate Web Development, App Development and IoT Applications using Machine Learning. Disadvantages Understanding Tensor and computational graphs is tedious. Computational graphs make the code complex and sometimes face performance problems. 10. Pytorch A popular Python framework, Pytorch supports machine learning and deep learning algorithms and is a scientific computing framework. This is a framework which is widely used by Twitter, Google and Facebook. The library supports complex Tensor computations and is used to construct deep neural networks. AdvantagesThe power of Pytorch lies in construction of Deep Neural Networks. Rich functions and utilities are provided to construct and use Neural Networks. Powerful when it comes to creation of production ready models. It supports GPU operations with rich math-based library functions. Unlike Numpy, it provides the functions which calculates gradient of the function, useful for the construction of the neural network. Provides support for Gradient based optimization which helps in scaling up the models easily to large data. Disadvantages It is a complex framework, so learning is difficult. Documentation support for learning is not readily available. Scalability may be an issue as compared to TensorFlow. 11. Theano Theano is a library for evaluating and optimizing the mathematical computations. It is based on NumPy but provides support for both the GPU and CPU. AdvantagesIt is a fast computation library in Python. Uses native libraries like BIAS to turn the code in faster computation. Best suited to handle computations in Deep Learning algorithms. Industry standard for Deep Learning research and development. Disadvantages It is not very popular among researchers as it is one of the older frameworks. It is not as easy to use as TensorFlow.12. CNTK CNTK is Microsoft’s Cognitive Toolkit for the development of Deep Learning based models. It is a commercial distributed deep learning tool. AdvantagesIt is a distributed open-source deep learning framework. Popular models like Deep Neural Network, Convolutional Neural Network models can be combined easily to form new models. Provides interface with C, C++ and Java to include Machine Learning models. Can be used to build reinforcement learning models as wide functions are available. Can be used to develop GAN (Generative Adversarial Networks). Provides various ways to measure the performance of the models built. High accuracy parallel computation on Multiple GPU is provided. Disadvantages Proper documentation is not available. There is inadequate community support. ConclusionPython, being one of the most popular languages for the development of Machine Learning models, has a plethora of tools and frameworks available for use. The choice of tool depends on the developer’s experience as well as the type of application to be developed. Every tool has some strong points and some weaknesses, so one has to carefully choose the tool or framework for the development of Machine Learning based applications. The documentation and support available are also important criteria to be kept in mind while choosing the most appropriate tool. 
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Top 12 Python Packages for Machine Learning

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Top-Paying Programming Certifications for 2021

Programming is at the core of software development, which is why there is a huge demand for programmers—a demand that is growing exponentially and is expected to rise at a steady rate even in the future. In today’s world, just about everything is getting automated and digitization has become the new normal.Recruiters are on the lookout for professionals who have solid programming and full-stack development skills. Every recruiting agency and organizational HR recruiting team has put in place a thorough screening process, and this active hiring in startups, SMEs, and multinational companies has raised the bar for many aspiring programmers. Having a software development, web development, or programming certification will give you an upper hand at the time of recruitment. A certification from a reputed accreditation body will validate your skills and make you stand out among your peers.Having an extra certification apart from your UG or PG degree makes you a better fit for the job role in which you have an interest. But before you opt for any certification, you need to understand which programming language will take you where; and the potential benefits of pursuing a certification course of that particular programming language.In this article, you will get to know about the top programming certifications of 2021 and how to achieve them.What are Programming certifications?Programming certifications are exam-oriented, and verify your skill and expertise in that field. Different organizations provide different programming certification exams that define your level, skills, and abilities vis `a vis that programming language. Having a programming certification will give you an edge over other peers and will highlight your coding skills.Most Popular Programming CertificationsC & C++ CertificationsOracle Certified Associate Java Programmer OCAJPCertified Associate in Python Programming (PCAP)MongoDB Certified Developer Associate ExamR Programming CertificationOracle MySQL Database Administration Training and Certification (CMDBA)CCA Spark and Hadoop Developer1. C & C++ CertificationsRegardless of your specialization in your UG or PG courses, clearing a developer-rated certification will not only make your resume stand out from others but also enhance your skills and boost your confidence. We have curated the top-most and popularly available certifications with descriptions that can help you decide which one is appropriate for your career path.C & C++ Certifications: C and C++ are often called the mother of Procedure-oriented and Object-oriented programming languages, which is absolutely true. These two programming languages have been around for many decades. Colleges and universities all over the world teach these as the base language. To get global recognition for the C and C++ certification, C++ Institute and Pearson VUE decided to carve a niche in this part of the certification landscape by offering the world's first international C/C++ certifications.Aspirants and professionals can choose either C or C++ as a career option/path and climb the certification ladder from associate to professional to senior. The C Programming Language Certified Associate (CLA) and C++ Certified Associate Programmer (CPA) are the core and first-level C and C++ certifications.CLA comprises of topics likeIntroduction to compiling and software development;Basic scalar data types and their operators;Flow control;Complex data types: arrays, structures and pointers;Memory management;Files and streams;Structuring the code: functions and modules;Preprocessor directives and complex declarations.CPA comprises of topics likeIntroduction to compiling and software development;Basic scalar data types, operators, flow control, streamed input/output, conversions;Declaring, defining and invoking functions, function overloading;Data aggregates;String processing, exceptions handling, dealing with namespaces;Object-oriented approach and its vocabulary;Dealing with classes and objects, class hierarchy and inheritance;Defining overloaded operators, user-defined operators, exceptions;Demand and Benefits: Having a CLA certification verifies that the programmer or the aspirant has an understanding of all the necessary and essential universal concepts of computer programming and developer tools. The course also covers all the syntax and semantics of different C constructs plus the data types offered by the language. This course brings crisp knowledge on writing programs using standard language infrastructure regardless of the hardware or software platform.A C++ Certified Associate Programmer (CPA) certification will give you an upper hand because it comprises syntax and semantics of the C++ language plus basic C++ data types. Apart from that, it contains principles of the object-oriented model and C++ implementation. Also, you will get to know about the various C++ standard libraries through this certification process. The average entry-level salary of a C/C++ developer with this certification will be $ 7,415 per annum. With two to three years of experience, the average salary hikes to $ 10,593 annually.Top companies and industries hiring CLA and CPA are Philips, Calsoft Pvt. Ltd., Cognizant, Synopsys Inc., private universities, Mphasis, etc.Where to take Training for Certification: CPP Institute has all the study resources you need to prepare for this examination. Apart from that, you can study from YouTube free resources.Who should take the Training (roles) for Certification: Any programmer or computer science aspirant - who wants to expand their knowledge of C/C++ or start their career as a C/C++ programmer or developer can opt for this certification course. There is no other prerequisite to appear for this exam.Course fees for Certification:CLA Certification: $ 147.50 (50% discount voucher)CPA Certification: $ 147.50 (50% discount voucher)Exam fee for certification:CLA Certification: $ 295CPA Certification: $ 295Retake fee for certification: Aspirants who have paid the complete exam price (USD 295) or have completed a course aligned with certification in the self-study mode (50% discount voucher) can have a free retake of the CPA or CLA exam. There is no limit to the number of times a candidate may retake the exam. You must wait 15 days before being allowed to re-sit that exam.2. Oracle Certified Associate Java Programmer OCAJPThis is a Java programming certification provided by Oracle. Java is among the most popular programming languages. James Gosling is the creator of Java which was earlier named Oak. It is a robust, high-level, general-purpose, pure object-oriented programming language developed by Sun Microsystems (now part of Oracle). Java consistently tops the 'most used programming languages’ list and is one of the most extensively used software development platforms. If you have the plan to get a proper training course online before appearing for the certification exam, KnowledgeHut (https://www.knowledgehut.com/programming/java-training) has that for you.It is the preliminary and most basic certification provided by Oracle for Java. It helps gain fundamental understanding of Java programming and builds a foundation in Java and other general programming concepts. The certification encompasses two subcategories –OCAJP Java Standard Edition 8 (OCAJP 8) and  OCAJP Java Standard Edition 11 (OCAJP 11)It comprises of topics likeJava BasicsWorking with Java Data TypesUsing Operators and Decision ConstructsCreating and Using ArraysUsing Loop ConstructsWorking with Methods and EncapsulationWorking with InheritanceHandling ExceptionsClass Methods and EncapsulationDescribing and Using Objects and ClassesHandling ExceptionsJava Technology and the Java Development EnvironmentInheritance and InterfacesUnderstanding ModulesUsing Operators and Decision ConstructsWorking with Java ArraysWorking with Selected classes, Java Primitive Data Types and String APIsDemand and Benefits: Having an OCAJP certification verifies that the aspirant has all the necessary and essential skills to become an expert Java developer. This certification also helps in getting an internship or entry-level jobs in different organizations. The entry-level salary of a junior Java developer with this certification is $ 3670 per annum; when the candidate gathers two to three years of experience, the average salary hikes to $ 5430 annually.Top companies and industries hiring Oracle Certified Associate Java Programmers are Smart Monitor Pvt. Ltd., Fiserv, Micron Semiconductor Asia Pvt. Ltd., private universities and many others.Where to take Training for Certification: KnowledgeHut has a fascinating course opportunity for beginners in Java programming. It has workshops with hands-on learning and 40 hours of instructor-led online lectures. Apart from that, Oracle also provides exam vouchers for this certification course.Who should take the Training (roles) for Certification: Any programmer or computer science aspirant - who wants to settle as a Java developer or start his/her career as a Java programmer can opt for this certification course. There is no other prerequisite to appear for this exam.Course fee for Certification: $ 245Application fee for certification:OCAJP8: $ 245OCAJP11: $ 249Exam fee for certification:OCAJP8: $ 245OCAJP11: $ 255Retake fee for certification: Aspirants can retake the exam if the exam voucher has a free retake option. If the exam retake option is available, one can opt for the exam after 14 days.3. Certified Associate in Python Programming (PCAP)Python is an interpreted, general-purpose, and high-level programming language developed by Guido Van Rossum. Python released in 1991 and within 5 to 6 years, this programming language become the most popular and widely used programming language in various disciplines. Today, companies use Python for GUI and CLI-based software development, web development (server-side), data science, machine learning, AI, robotics, drone systems, developing cyber-security tools, mathematics, system scripting, etc. PCAP is a professional Python certification credential that measures your competency in using the Python language to create code and your fundamental understanding of object-oriented programming.It comprises of topics likeBasic concepts of PythonOperators & data typesControl and EvaluationsModules and PackagesData AggregatesException HandlingStringsFunctions and ModulesObject-Oriented ProgrammingList Comprehensions, Lambdas, Closures, and I/O OperationsClasses, Objects, and ExceptionsDemand and Benefits: Having a Python certification verifies that the programmer or the aspirant has all the necessary and essential skills needed to become an expert Python developer. This certification also helps in getting an internship or entry-level jobs in different organizations. The average entry-level salary of a Python developer starts at around $100k per annum. With a few years of experience, the average salary hikes to $ 105k annually.Top companies and organizations hiring certified Python programmers are Bank of America, Atlassian, Google, Adobe, Apple, Cisco Systems, Intel, Lyft, IBM, etc.Where to take Training for Certification: KnowledgeHut has a fascinating course opportunity for beginners in Python programming. It has hands-on learning with 24 hours of instructor-led online lectures. Apart from that, the course has 100 hours of MCQs and three live projects.Who should take the Training (roles) for Certification: Any programmer, graduate, post graduate student, or computer science aspirant - who wants to pursue a career as a Python developer or  Python programmer can opt for this certification training. There is no other prerequisite to appear for this exam.Course fees for Certification:  $ 295Exam fee for certification: $ 295Retake fee for certification: If a candidate fails the exam, he/she has to wait for 15 days before being allowed to retake the exam for free. There is no limit to the number of times a candidate may retake an exam.4. MongoDB Certified Developer Associate ExamMongoDB is a NoSQL, document-based high-volume heterogeneous database system. Instead of having tables with rows and columns, MongoDB uses a collection of documents. It is a database development system that provides scalability and flexibility as per query requirements. Its document models are easy to implement for developers and can meet complex demands at scale.MongoDB created this MongoDB Certified Developer Associate Exam for individuals who require to verify their knowledge on fundamentals of designing and building applications using MongoDB. They recommend this certification for those who want to become software engineers and have a solid understanding of core MongoDB along with professional experience.It comprises of topics likeMongoDB BasicsCRUDIndexing and PerformanceThe MongoDB Aggregation FrameworkBasic Cluster AdministrationAggregation & ReplicationShardingMongoDB Performance  MongoDB for Python DevelopersMongoDB for Java Developers or MongoDB for JavaScript DevelopersData ModelingDemand and Benefits: Having a MongoDB Certified Developer Associate Exam certification verifies that the programmer or the aspirant has all the necessary and essential skills to become a NoSQL database expert. The MongoDB certification is inexpensive and in demand. The average salary for a software developer with MongoDB skills starts from $ 8200 per annum.Top companies and organizations hiring certified MongoDB developers are Accenture, Collabera, Leoforce LLC., Adobe, Trigent Software, Lyft, etc.Where to take Training for Certification: KnowledgeHut has a comprehensive course structure for those who want to learn MongoDB & Mongodb Administrator. It has 24+ hours of instructor-led online lectures and 80+ hours of hands-on with cloud labs. This self-paced course also includes capstone projects to give participants a feel of real world working.  Who should take the Training (roles) for Certification: Any programmer, graduate, post graduate student, experienced developer or computer science aspirant - who wants to embark on a career as a MongoDB developer or start his/her career as a NoSQL database expert or do better in their current role as a MongoDB developer can opt for this certification course. There is no other prerequisite to appear for this exam.Course fees for Certification:  $ 150Exam fee for certification: $ 150Retake fee for certification: MongoDB University is no longer allowing a free retake with the exam fee. The candidate has to pay an additional $10 to reschedule or retake the exam.5. R Programming CertificationIt is a part of the data science specialization from Johns Hopkins University under Coursera. This course teaches R programming for efficient data analysis. It covers different R programming concepts like building blocks of R, datatypes, reading data into R from external files, accessing packages, writing functions, debugging techniques, profiling R code, and performing analysis.It comprises of topics like:Basic building blocks in RData types in RControl StructuresScoping Rules - OptimizationCoding StandardsDates and TimesFunctionsLoopingDebugging toolsSimulating data in RR ProfilerDemand and Benefits: Having an R Programming certification verifies that the programmer or the aspirant has all the necessary and essential skills require to get a job role as data analyst. This certification also helps in getting an internship or entry-level jobs in different organizations and firms. The average salary of a certified R programmer with this certification is ₹ 508,224 per annum.Top companies and industries hiring certified R programmers are Technovatrix, CGI Group Inc., Amazon, Sparx IT Solutions, Accenture, Uber, etc.Where to take Training for Certification: KnowledgeHut has a fascinating training course for those who wants to become a R programmer. It has 22+ hours of instructor-led live training and three self-paced live projects.Who should take the Training (roles) for Certification: Any data analyst, graduate, post graduate student, experienced data analyst or computer science aspirant - who wants to settle as a R programmer or data analyst can opt for this certification course. There is no other prerequisite to appear for this exam. Course fees for Certification: FreeFee for certification: $ 60 (Coursera Plus Monthly)Retake fee for certification: Free6. Oracle MySQL Database Administration Training and Certification (CMDBA)It is another course offered by Oracle for SQL developers. Oracle University designed this course for database administrators who want to validate their skills with developing performance, blending business processes, and accomplishing data processing work. Structured Query Language (SQL) is one of the top database management query languages that allows us to access and manipulate databases. If you want to verify your database skills during a job interview or impress your peers at your workplace then this certification is worth getting. This certification path includes Professional, Specialist, and Developer levels. The candidate should pass the MySQL Database Administrator Certified Professional Exam Part 1 & Part 2 to earn the certification.It comprises of topics likeInstalling MySQLMySQL ArchitectureConfiguring MySQLUser ManagementMySQL SecurityMaintaining a Stable SystemOptimizing Query PerformanceBackup StrategiesConfiguring a Replication TopologyDemand and Benefits: Having an CMDBA certification verifies that the programmer or the aspirant has all the necessary and essential skills required to get a job role as SQL developer. This certification also helps in getting an internship or entry-level jobs in different organizations and firms. The average salary of a certified MySQL DBA or backend developer with this certification is $ 66,470 per annum.Top companies and industries hiring Certified MySQL database administrators are Fiserv, IBM, HCL, Adobe, Microsoft, Apple, Accenture, Collabera, and more.Where to take Training for Certification: KnowledgeHut has a cutting-edge curriculum for those who want to become  MySQL database administrators. It has 16+ hours of instructor-led online lectures and 80+ hours of hands-on lab. Apart from that, this self-paced course has Capstone projects.Who should take the Training (roles) for Certification: Any developer, graduate, post graduate student, experienced developer or computer science aspirant - who wants to pursue a career as a DBA or backend developer or start his/her career in database management or backend software development can opt for this certification course. There is no other prerequisite to appear for this exam or course.Course fees for Certification: $ 255Exam fee for certification: $ 255Retake fee for certification: Aspirants can retake the exam if the exam voucher has a free retake option. If the exam retake option is available, one can opt for the exam after 14 days after the initial attempt.7. CCA Spark and Hadoop DeveloperWith the exponential growth in data, IT firms and organizations have to manage this tremendous amount of data generated. So, many companies are actively looking for Big data and Spark developers who can optimize performance. Big Data is the term used to describe enormous volumes of data. Apache Spark supports data management as it is an open-source centralized analytics engine that handles large-scale data processing.It requires prerequisite knowledge of Scala and Python. This certification also verifies and showcases your skills through Spark and Hadoop projects. Passing this certification course gives you a logo and a license to authenticate your CCA status.It comprises of topics likeLoad data from HDFS for use in Spark applicationsWrite the results back into HDFS using SparkRead and write files in a variety of file formatsPerform standard extract, transform, load (ETL) processes on data using the Spark APIUse metastore tables as an input source or an output sink for Spark applicationsUnderstand the fundamentals of querying datasets in SparkFilter data using SparkWrite queries that calculate aggregate statisticsJoin disparate datasets using SparkProduce ranked or sorted dataSupply command-line options to change your application configuration, such as increasing available memoryDemand and Benefits: Passing the CCA Spark and Hadoop Developer Exam (CCA175) by Cloudera verifies that you have all the essential skills required to get a job as a Hadoop developer and handle Big data projects. The average salary of a certified CCA Spark and Hadoop Developer with this certification is $ 74,200 per annum.Top companies and industries hiring Certified Spark and Hadoop Developers are Primus Global, IBM, Collabera, CorroHealth, Genpact, Xerox, Accenture, and more.Where to take Training for Certification: KnowledgeHut has extensive courses for those who want to become Big Data experts and want to work as Hadoop developers. It has different courses on Big Data Analytics, Apache Storm, Hadoop Administration, Apache Spark & Scala, Big Data with Hadoop, and more.Who should take the Training (roles) for Certification: Any Big Data developer, graduate & post graduate students, Hadoop developer or computer science aspirant - who wants to make a career in Big data development or start his/her career as a Big Data or Hadoop project developer can opt for this certification course. There is no other prerequisite to appear for this exam.Course fees for Certification: $ 295Application fee for certification: $ 295Exam fee for certification: $ 295Retake fee for certification: Within 30 to 60 minutes of exam completion, Cloudera will send a scorecard mail with a pass or fail status. If the candidate fails the exam, then they have to wait for 30 days for another try.  Cloudera gives additional discounts on retakes.ConclusionWhether you are starting your career as a coder or are an experienced programmer looking to grow in the industry, having a certification and proper knowledge of any popular programming language is one of the most proven ways to elevate your programming career.  We trust that this article will help you to understand your area of interest. Choose the programming language you wish to make a career in, wisely. This would also depend on your pre-existing knowledge. If you aren't sure which resource will be more informative for doing your certification as per your area of interest, KnowledgeHut (https://www.knowledgehut.com/) has all the support and expert trainers who can guide you, from start to finish—that is in clearing the exam and helping you gain sound knowledge of your preferred subject.Receiving a programming certification is an added bonus which will make you stand out from the rest. Proper training from an institute such as KnowledgeHut will help you gain skills that are relevant and in demand in the industry.
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Top-Paying Programming Certifications for 2021

Programming is at the core of software development... Read More

Top IT Certifications for Java Developers in 2021

Programming languages are at the heart of computer science and software development. They help developers write efficient code for developing digital solutions through applications and websites. Programming helps in automating, maintaining, assembling, and measuring the processed data.  Java is one such popular programming language. It is a robust, high-level, general-purpose, pure object-oriented programming language developed by Sun Microsystems (now part of Oracle). James Gosling is the creator of Java which was earlier named Oak. Java ranks high in the top programming languages list and is one of the most extensively used software development platforms. It is well suited to developing software solutions and other innovative projects and simulations.  Since Oracle acquired Sun Microsystems in January 2010, they have been responsible for the further development of the Java platform. All the mentioned top Java certifications verify a specific expertise level and knowledge of the Java platform highlighting particular domains. Without further due, let us now dig into the top 5 Java certifications and their details. About Oracle’s Java CertificationsOrganizations and industries consider certifications as proof of knowledge, especially when the certifications are from a recognized body or firm. Aspirants and professionals looking for possibilities in the Java development domain can avail of a plethora of benefits through the certifications mentioned in this article. There are six levels of Oracle Java Certification based on job roles, skills, and responsibilities: Oracle Certified Junior Associate (OCJA) Oracle Certified Associate (OCA) Oracle Certified Professional (OCP) Oracle Certified Specialist (OCS) Oracle Certified Expert (OCE) Oracle Certified Master (OCM) Among them, the top five Java certifications that are in demand for the year 2021 are – 1. Oracle Certified Associate Java Programmer OCAJPIt is the preliminary and most basic certification provided by Oracle for Java. It helps you gain fundamental understanding of Java programming and build a foundation in Java and other general programming concepts. There are two subcategories in this certification – OCAJP Java Standard Edition 8 (OCAJP 8) and  OCAJP Java Standard Edition 11 (OCAJP 11) OCAJP8 comprises of topics like  Creating and Using Arrays Handling Exceptions Java Basics Using Loop Constructs Using Operators and Decision Constructs Working with Inheritance Working with Java Data Types Working with Methods and Encapsulation Working with Selected classes from the Java API OCAJP11 comprises of topics like Applying Encapsulation Creating and Using Methods Creating Simple Java Programs Describing and Using Objects and Classes Handling Exceptions Java Technology and the Java Development Environment Programming Abstractly Through Interfaces Reusing Implementations Through Inheritance Understanding Modules Using Operators and Decision Constructs Working with Java Arrays Working with Java Primitive Data Types and String APIs Demand and Benefits: Having an OCAJP certification verifies that the programmer or the aspirant has all the necessary and essential skills to become an expert Java developer. This certification also helps in getting an internship or entry-level jobs in different organizations. The entry-level salary of a junior Java developer with this certification is $ 3670 per annum; when the candidate gathers two to three years of experience, the average salary hikes to $ 5430 annually.   (Source: Glassdoor) Top companies and industries hiring Oracle Certified Associate Java Programmers are Smart Monitor Pvt. Ltd., Fiserv, Micron Semiconductor Asia Pvt. Ltd., and more. Where to take Training for Certification: KnowledgeHut has a fascinating course, designed for beginners in Java programming. It offers hands-on learning with 40 hours of instructor-led online lectures. Apart from that, Oracle also provides exam vouchers for this certification course. Who should take the Training (roles) for Certification: Any programmer or computer science aspirant - who wants to be a Java developer or start his/her career as a Java programmer can opt for this certification course. There is no other prerequisite to appear for this exam. Course fees for Certification:  $ 245 Application fee for certification: $ 245 Exam fee for certification: $ 245 Retake fee for certification: Aspirants can retake the exam if the exam voucher has a free retake option. If the exam retake option is available, one can opt for the exam after 14 days. 2) Oracle Certified Professional Java Programmer OCPJPIt is a professional-level certification program provided by Oracle for Java developers. It verifies the candidates' knowledge and professional expertise. Using this certification, aspirants and other hard-core Java programmers can distinguish themselves from those Java professionals who are not certified. It comes in the second level of Oracle's Java Certification list. There are two subcategories of this certification – OCPJP Java Standard Edition 8 (OCPJP 8) and  OCPJP Java Standard Edition 11 (OCPJP 11) This certification is preferable if someone has professional experience with Java or has already worked for some years in Java technology.  OCPJP8 comprises of topics like: Advanced Class Design Building Database Applications with JDBC Concurrency Exceptions and Assertions Generics and Collections Java Class Design Java File I/O (NIO.2) Java I/O Fundamentals Java Stream API Lambda Built-in Functional Interfaces Localization Use Java SE 8 Date/Time API OCPJP11 comprises of topics like: Annotations Built-in Functional Interfaces Concurrency Database Applications with JDBC Exception Handling and Assertions Functional Interface and Lambda Expressions Generics and Collections I/O (Fundamentals and NIO.2) Java Fundamentals Java Interfaces Java Stream API Lambda Operations on Streams Localization Migration to a Modular Application Parallel Systems Secure Coding in Java SE Application Services in a Modular ApplicationDemand and Benefits: Once you are a certified Professional Java Programmer (OCPJP), you can switch to better salary slabs and organizations that hire senior Java developers. This certification also helps in getting internal promotions as Java developers in different organizations and firms. The average salary of a certified professional Java developer is $ 5300 - $ 8610 per annum. Top companies and industries hiring Oracle Certified Professional Java Programmers are Oracle, Capgemini, Morgan Stanley, Chetu, Mphasis, etc. Where to take Training for Certification: KnowledgeHut has a fascinating course opportunity for Java developers and professionals for learning intermediate Java topics. It has hands-on learning with 32 hours of instructor-led online lectures. Apart from that, Oracle also provides exam vouchers for this certification course. Who should take the Training (roles) for Certification: Any Java programmer who wants to apply for a senior Java developer's role or start his/her career as a Java programmer can opt for this professional certification course. There is no other prerequisite to appear for this exam. Course fees for Certification: $ 245 Application fee for certification: $ 245 Exam fee for certification: $ 245 Retake fee for certification: Aspirants can retake the exam if the exam voucher has a free retake option. If the exam retake option is available, one can opt for the exam after 14 days.3. Oracle Certified Expert - Web Component Developer OCEWCDIt is an intermediate-level course offered by Oracle for Java web developers. The Oracle Certified Expert Web Component Developer is for web developers who want to write web applications using Java. Through this course, they can prove their expertise in developing web apps using JSP and Servlet technologies. It verifies your expertise in Servlet 3.0 and helps in creating dynamic Web content and Web services.  It comprises of topics like Understanding Java EE Architecture Managing Persistence using JPA entities and Bean Validation Implementing business logic using EJBs Using Java Message Service API Implement SOAP Services using JAX-WS and JAXB APIs Creating Java Web Applications using Servlets and JSPs Implementing REST Services using JAX-RS API Creating Java Applications using WebSockets Developing Web Applications using JSFs Securing Java EE 7 Applications Using CDI Beans Demand and Benefits: You can opt for this course once you are a certified Professional Java Programmer (OCPJP) or certified associated Java programmer. This certification course will help you get a job in organizations having rigorous work in Servlet, Java Server Page, JSF, and web microservices. The average salary of a certified professional Java developer is $ 8,850 - $ 11,930 per annum. Top companies and industries hiring Oracle Certified Web Component Developers are Amdocs, IBM, Oracle, Capgemini, SAP, Shine, Byjus, etc. Where to take Training for Certification: KnowledgeHut has a fascinating course opportunity for Java web developers (. It has hands-on learning with instructor-led online lectures and live projects. Apart from this, you can get online training from Oracle University as wellWho should take the Training (roles) for Certification: Any programmer or computer science aspirant who wants to settle as a Java web developer or start his/her career as a Java web content and web service developer can opt for this certification course. As a prerequisite, you have to pass the OCPJP to opt for this certification.  Course fees for Certification:  $ 245 Application fee for certification: $ 245 Exam fee for certification: $ 245 Retake fee for certification: Aspirants can retake the exam if the exam voucher has a free retake option. If the exam retake option is available, one can opt for the exam after 14 days. 4. Oracle Certified Professional Java Application Developer (OCPJAD)It is an advanced-level course offered by Oracle for Java application developers. The Oracle Certified Professional Java Application Developer (OCPJAD) is for software developers who want to write different applications and automation tools using Java. Through this course, developers can prove their expertise and abilities to develop and deploy applications through Java Enterprise Edition 7. OCPJAD is ideal for desktop application developers, frontend + backend app developers, software engineers, and application architects. It comprises of topics like Creating Batch API Developing CDI Beans Concepts of Concurrency Creating Java Applications with Web-Sockets Creating Java Web Applications with JSPs Developing Java Web Applications with Servlets Developing Web Applications with JSFs Implementing Business Logic with EJBs Performing REST Services with JAX-RS API Implementing SOAP Services with JAX-WS and JAXB APIs Java EE 7 system architecture Java EE 7 Security Techniques Java Message Service API Managing Persistence with JPA Entities and Bean-ValidationDemand and Benefits: Once you pass the Certified Professional Java Application Developer (OCPJAD), you can seek employment in organizations that work on critical application development and command higher salaries. This professional certification will give you exposure to develop APIs, implementing business logic using EJBs, create message services, and apply security systems. The average salary of a certified professional application developer is $ 9,800 - $ 13,910 per annum. Top companies and industries hiring Oracle Certified Professional Java Programmers are Oracle, Capgemini, NetSuite Inc., SAP, Cognizant, etc. Where to take Training for Certification: KnowledgeHut has a fascinating course opportunity with hands-on learning exposure and live projects. Apart from this, you can get online training from Oracle University as well. Who should take the Training (roles) for Certification: Any Java developer or full-stack application developer who wants to become a certified Java application developer or move to the specialized sector of API development using REST, security architect or software engineer can opt for this certification course. As a prerequisite, you should have passed the OCAJP certification.  Course fees for Certification:  $ 245 Application fee for certification: $ 245 Exam fee for certification: $ 245 Retake fee for certification: Aspirants can retake the exam if the exam voucher has a free retake option. If the exam retake option is available, one can opt for the exam after 14 days.5. Oracle Certified Master Java Enterprise Architect (OCMJEA)Large-scale development and service firms have different critical applications and systems to develop, manage, and maintain. Such systems require full-stack developers and specialized professionals with proven skills. Such organizations and MNCs hire only highly experienced professionals and specialists who can supervise the extensive operation, architect the defects, and define & develop systems as per requirements. The Oracle Certified Master Java Enterprise Architect (OCMJEA) is one of the most prestigious Java certifications a Java developer can achieve.  It comprises of topics like Architect Enterprise Applications through Java EE Developing Applications for the Java EE 6 Developing Applications for the Java EE 7 Developing Applications with Java EE 6 on WebLogic Server 12c Java Design Patterns Java EE 6: Develop Business Components with JMS & EJBs Java EE 6: Develop Database Applications with JPA Java EE 6: Develop Web Services with JAX-WS & JAX-RS Java EE 7: New Features Java SE 7: Develop Rich Client Applications Java SE 8: Programming Java SE 8 Fundamentals Object-Oriented Analysis and Design Using UML, etc. Demand and Benefits: Once you pass the Certified Master Java Enterprise Architect course, you get the essential skills and understanding of how to execute application development on an enterprise level. Such an experienced professional gains full-stack Java development skills. They get hired with the responsibility of undertaking Java projects from the very start to their final delivery. Many Certified Master Java Enterprise Architects work as managers or senior managerial roles in industries and firms. The average salary of a certified professional application developer is $ 14,000 - $ 19,210 per annum. Top companies and industries hiring Oracle Certified Professional Java Programmers are IBM, Oracle, Microsoft, HCL, Capgemini, NetSuite Inc., SAP, Cognizant, Atlassian, etc. Where to take Training for Certification: KnowledgeHut has a fascinating Java course  with hands-on learning exposure and a live project. Apart from that, a professional can train himself through ILT (Instructor-Led-in-Class), Learning Subscription, TOD (Training on Demand), LVC (Live Virtual Class), or classes delivered by Oracle Authorized Education Center . Other Oracle Authorized Partner Oracle Academy, Oracle University Training Center, or Oracle Workforce Development Program can also benefit and train you in this course.  Who should take the Training (roles) for Certification: Any Java developer or full-stack application developer who wants to move to a senior role in the enterprise-level or want to become a manager or team lead can opt for this certification course. As a prerequisite, you need to have passed the OCPJP certification.  Course fees for Certification:  $248 Application fee for certification: $ 248 Exam fee for certification: $ 248 Retake fee for certification: Aspirants can retake the exam if the exam voucher has a free retake option. If the exam retake option is available, one can opt for the exam after 14 days. Java is an evergreen programming language and is here to stay, at least for the next couple of decades. A vast community of professionals and entry-level aspirants enjoy the benefit of this pure object-oriented, class-based, multi-paradigm, high-level programming language. Java Certification requires proper training.KnowledgeHut has the required infrastructure and quality education faculty, both online and offline, to train aspirants for these Oracle Certifications. It caters to well-structured, industry-oriented Java certification training, explicitly designed to serve the candidates according to the latest industry needs. Getting proper training from KnowledgeHut will help aspirants master core knowledge of Java plus equip themselves with the industry standards to manage large projects. 
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Top IT Certifications for Java Developers in 2021

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