Enhance your Machine Learning Skills

Step into the realm of Machine Learning, where innovation knows no bounds. Join the ranks of those venturing into one of today's most sought-after career paths. As companies embrace intelligent systems, the demand for skilled individuals who can navigate data, identify patterns, and drive informed decision-making is skyrocketing. Embrace the opportunity to build a career in Machine Learning and be at the forefront of this exciting field. 

..... Read more
Read less

Explore Our Machine Learning Courses

Our comprehensive Machine Learning courses will help you go from basic to advanced concepts in Machine Learning using R, Machine Learning with Python, Machine Learning with Apache Mahout, and more. Explore our in-demand courses to master concepts like Supervised Learning, Unsupervised Learning, Optimization, and Recommendation systems with expert guidance from industry-recognized instructors.

..... Read more
Read less

What Learners Are Saying

Our courses on Machine Learning are delivered by globally recognized industry experts and are also powered by experiential learning. We are the world’s leading upskilling partner. Over the years, we have helped more than 450,000 professionals across 100+ countries achieve their career goals by getting placed in top organizations around the world. Let us see our Machine Learning course review to find out what our learners from the present and past are saying about our courses on Machine Learning.

Steps in Machine Learning

Machine learning helps businesses improve productivity and profitability by finding valuable insights buried in company databases. Ready to enhance business scalability and improving business operations? Understand how it's implemented in a step-by-step process.

Life cycle

Got questions? Get quick answers.

Schedule a 1-on-1 call with a course advisor for quick answers about our Machine Learning programs.

First Name*
Last Name*

By tapping submit, you agree to KnowledgeHut Privacy Policy and Terms & Conditions

By tapping submit, you agree to KnowledgeHut Privacy Policy and Terms & Conditions

Eligibility and Prerequisites

To attend any courses on Machine Learning, attendees must have: 

  • Sufficient knowledge of at least one coding language is required 
  • Mathematics skills are required 
  • Experienced candidates or freshers can opt for Machine Learning courses 
  • Freshers with no prior exposure to technology can opt for our Machine Learning courses to become industry-ready 
  • Eligibility criteria vary from course to course. You should check the respective courses to find the prerequisites.  
  • A bachelor's degree is essential for any Machine Learning course.  
  • Masters in any tech subjects can prove to be quite beneficial. 

Who Should Take Our Machine Learning Programs

  • Software Engineers 
  • Data Engineers  
  • Data Analysts 
  • Economists 
  • Researchers 
  • Professionals Interested in Quantitative Analysis 
  • Professionals Interested in Machine Learning 
  • Professionals Using Machine Learning to Solve Problems 

Machine Learning Course Duration and Fees

KnowledgeHut provides a range of specialized Machine Learning courses, from Machine Learning with Python Training to Deep Learning on AWS Training. Our courses on Machine Learning are carefully curated by top experts and supported by immersive learning.

..... Read more
Read less

Course Name

Next Cohort



Frequently Asked Questions

Machine Learning is a discipline that develops methods that learn. Using data this learning can be put into execute tasks that would otherwise have required sustained effort. Our immersive Machine Learning courses will take you through all the trending topics associated with Machine learning.

Machine learning is a concept that is being used across industries to develop tools that make routine tasks easier by having machines interpret and analyze data in the absence of human intervention.  

Machine Learning is an area of AI that covers topics like supervised and unsupervised learning. A complete machine learning course, machine learning engineering course, or a machine learning crash course will help you learn all the related topics and help you land your dream job in ML field.

A machine learning course could be as specific or generic as your requirements, area of interest etc. You can focus on learning a particular tool to work on an aspect of ML, or you could work on getting a certification that covers the broader topic and discipline of ML. 

While machine learning course details don’t require coding mandatorily, it is easier if you know it. If you are looking to create a career in Machine Learning or AI, it is necessary for you to know and understand at least a little bit of coding. An online machine learning course can help you understand the concepts easily.

If you are serious about a career in machine learning, it is highly recommended that you learn a bit of coding or develop a solid understanding of coding. Even if your current profile or the profile you want does not require any knowledge of coding, learning to code will increase your scope of applying what you will learn in a machine learning course.   

Applied machine learning is an understanding of a learning system to manage and pinpoint a specific learning problem. The learning problem is defined by observations that contain input and output data. 

The application of machine learning involves defining a problem, identifying data, and using data to solve problems or accomplish tasks. Newer applications of ML are being developed across every industry at a rate that is accelerating. Hence every industry is looking for skilled professionals proficient in machine learning. 

Machine learning is increasing in demand rapidly, especially in this post-COVID world. Many top companies around the world, such as Pinterest, Facebook, Google, and Uber, have made Machine Learning a prominent part of their operations. Machine Learning is important as it gives businesses an insight into trends, consumer behavior and business operational patterns, as well as supporting the development of new products.  

If you are looking into pursuing a career in Machine Learning, there are several machine learning courses online. Do your research and pick a good machine learning certification course to upskill yourself. 

As machine learning grows in demand, many freshers are looking to pursue ML as a career. There are various courses available online. You can choose the best machine learning course for beginners at your convenience or look into these simple steps to learn machine learning course content from Scratch.

  • Understand the Prerequisites — Ensure you have all the prerequisites before beginning the course. This includes programming, statistics and probability, mathematics and data tackling. 
  • Learn ML Theory from A to Z — You can either opt for a self-learning format or take up an online course to learn ML. Ensure to cover planning and data collection, data assumptions, data preprocessing, data interpretation along with model results, improving and bettering your models, and contributing to business value during your learning journey. 
  • Deep Dive into the Essential Topics — This is an important step in mastering machine learning. Practice machine learning workflow, work on real datasets, and learn comprehensively. 
  • Work on Projects — Gaining practical knowledge or hands-on training on machine learning will help you understand concepts faster. Choose based on your interest, work on different basic and value-adding projects and build an impressive portfolio.
  • Learn and Work with Different ML Tools — Get your hands dirty in code and work with as many ML tools you can get access to. Tools like TensorFlow, Auto-WEKA, KNIME, Google Cloud AutoML, BigML, and Scikit-learn can help you climb the organizational ladder quickly. 
  • Study ML Algorithms from Scratch — Take time to understand and study the Machine Learning Algorithms.

Machine learning is one of the most important skills of the future. Today’s leading companies like Google, Meta, and Uber have made Machine Learning a core part of their operations. With the skyrocketing demand for ML professionals in the current workforce, the field faces a major skill shortage. Understanding Machine Learning, through a machine learning course with placement and having an advanced machine learning course certification guarantees you a lucrative career in the industry.     

Ever wondered if switching careers to Machine Learning is a hassle? Before considering machine learning online training, here are some easy steps to get started:

  1. Enhance your software skills — Learn the skills and languages you need to know as a Machine Learning Developer. Ensure that you can produce well-engineered code, debug problems as they occur, and have strong data management skills.
  2. Know the fundamentals of AI — Fundamentals are the most important aspect of mastering AI and ML. Get a good understanding of the basics of ML before you begin your AI and ML journey. 
  3. Understand your Target Audience — Understand your business and how companies work in general. Learn the necessary skills required to understand business questions and answer with machine learning.
  4. Sign up for courses — This is probably the easiest way to build skills. Choose a machine learning online course with a certificate that helps you enhance your data science skills, along with your AI and Machine Learning skills as well. 
  5. Get Certified — As you complete your foundation courses, look for machine learning expert course. While you continue to upskill, you can start working on projects as a business or a data analyst and apply your learnings.
  6. Build your soft skills – Even your machine learning full course does not matter if you do not have the skills to deliver them effectively. Communication and teamwork can go a long way in your career.
  7. Don't stop Learning — Machine Learning is a growing field. Whether you choose the best machine learning online course or decide to learn on your own, the latest updates and processes keep appearing every other day — and it is extremely important to keep yourself updated to stay relevant.

If you are new to Machine Learning, you can choose a machine learning course for beginners to get started. Machine learning may not be for everyone, so you will need to do a bit of research before embarking on this journey. Here are some easy steps to start a career in Machine Learning: 

  • Understand the prerequisites 
  • Familiarize yourself with the subject 
  • Sign up for certifications and courses 
  • Work on projects 
  • Build an impressive portfolio 
  • Apply for jobs 
  • Impress top recruiters 

Anyone who chooses to pick Machine Learning as their career may cultivate a basic awareness of these facts and the related terminology so that they are in a better position when picking a Machine Learning course for beginners.      

Machine Learning 
Artificial Intelligence 
Machine Learning is a niche in AI 
AI is a broader concept of technology that mimics human thinking 
Requires to be programmed as the technology focuses on extracting knowledge from data 
Does not require to be pre-programmed 
Based on the system of probability 
Based on characteristics of human intelligence 

Machine Learning 
Deep Learning 
Machine Learning is a superset of Deep Learning 
Deep Learning is a subset of Machine Learning 
Machine Learning is something that is an evolution of AI 
Deep Learning is an evolution of Machine Learning 
Outputs of ML are usually numerical values, like the classification of score 
Deep Learning values can be anything from numerical values to free-form elements, such as free text and sound. 
There are thousands of data points in Machine Learning 
There are millions of data points in Deep Learning 

If you are new to Machine Learning technology, you will learn the following when you choose machine learning course for beginners 

Machine Learning 
Data Science 
The process of developing software that learns by itself by extracting solutions from data 
Process of conducting operations over different data sources to prove a certain hypothesis 
Involves using Machine Learning algorithms and analytical models 
Involves using Machine Learning tools to work with both structured and unstructured data 
Supervised, unsupervised, semi-supervised learning are a part of the process 
Data acquisition, data cleaning, data investigation, etc. are a part of the process 

When you choose Machine Learning course for beginners, you will learn the following in detail: 

Python has a simple syntax 
R has a complex syntax 
Python has several libraries. It can be complex to understand all of them 
R has fewer libraries compared to Python and is easy to understand 
Python is suitable for learning machine learning, deep learning, and large-scale web applications 
R is suitable for statistical learning, having powerful libraries for data experiment and exploration 
Python is used to build applications from the beginning 
R is used to simplify complex mathematical problems 
Python is more popular and has a larger user base 
R is less popular among the users around the world 
The primary users of python include developers and programmers 
R’s primary users include scientists and Research & Development who frequently rely on data analysis 

There are various applications and functions using Machine Learning. There are applications of machine learning being implemented in every industry. The scope of these applications is increasing as the technology gets better and there is more investment in the technology and in people practicing it. Some of them are listed below -

  • Image Recognition 
  • Speech Recognition 
  • Traffic prediction 
  • Product recommendations 
  • Social Media 
  • Route Navigation 
  • Self-Driving Cars 
  • Email Spam and Malware Filtering 
  • Virtual Assistant 
  • Medical Diagnosis 
  • Fraud Detection 

Machine Learning is the skill of the future. Today, various top companies like Facebook, Uber and Google have incorporated Machine Learning as an integral part of their operations. This is creating a huge demand for ML Developers, in turn, creating a major skills shortage. 

According to the World Economic Forum, AI, Machine Learning and Automation will create 97 million new jobs by 2025. Hence, choosing a machine learning course for beginners will help you land a job faster! 

Machine learning is a career that is very promising and lucrative. It is a modern technology, and it is on the rise. To be successful in a career in machine learning you need to have an aptitude for mathematics, programming, and data science. While theoretically anyone can attend a Machine Learning course the most common background that the professionals come from are: 

  • Interested in Machine Learning and using it to solve problems 
  • Software or data engineers  
  • Data analysts 
  • Economists  
  • Researchers 
  • Developers 
  • Solutions architects 
  • Data Engineers 
  • Freshers 

There are tons of courses and materials available online. KnowledgeHut offers the best machine learning certification that has been curated by instructors who are also industry experts. The following are a few courses that are high in demand due to their value in the process for a professional to embark on a career in machine learning:

The preparation for your machine learning best online courses depends on the intensity of the course you have chosen. Different courses will have different prerequisites that you need to complete before taking an exam. Ensure that you do your research, learn the code, get your hands dirty and build a good portfolio, and practice as much as you can!

Skills like machine learning are learnt and improved by applying them in real-world projects with a practical purpose and value.  

There are a ton of options when it comes to job roles in Machine Learning. You can explore roles like Machine Learning Engineer, Data Engineer, NLP Scientist, Data Scientist, Software Developer (AI/ML), Data Analyst, Human-Centered ML Designer, Computer Vision Engineer, Algorithm Engineer, and more. 

Consider signing up for the best machine learning course online. This will help you acquire a job in the Machine Learning field faster than the uncertified peers. The role you will acquire will depend on a variety of factors like the type of organization you are in, your qualification, skills, and the more specific function that you serve in a machine learning context.

The average pay for a Machine Learning Engineer is around $123,997 in the United States. Your pay cheque might differ slightly based on your organization and your geographical location but, if you sign up for the best machine learning course online, you might get paid higher than the average industry standard. 

Your salary will also increase considerably as you gain more experience and expertise. Machine learning is a discipline that is in demand and the need for skilled professionals is rising. 

Machine Learning is a growing industry that is grown 344% between 2015-2018. According to the Bureau of Labor Statistics, there is a 16% Annual Growth in job listings for Machine Learning jobs. With an average annual salary of $123,997 in the US, companies like Facebook, Pinterest, Alexa, Yelp, and more such top organizations have adopted ML as a critical part of their functions.

The best machine learning course will help you understand the concepts well and help you enhance your career 

KnowledgeHut offers the best course on machine learning that can give you a boost to improve your career. You can pick a course that is most suitable for you by going through your existing level of knowledge, interests, and career requirements. Here are some of the courses offered:  

Machine Learning course fees depend on the course you choose, your geographical location, the complexity of your course, and what the learning provider is offering. But the best online course for machine learning costs between US $130 to US $650.

Check our schedule page for the respective course page to find out the specific rate that will be applicable to you. Also go through the payment options and discounts applicable to you for your location.  

The Machine Learning course syllabus differs from certification to certification. But the best Machine Learning course offered by KnowledgeHut is carefully curated by our industry expert trainers. 

Throughout your learning journey, you will cover topics like Machine Learning Algorithms, Computer Vision, Supervised Machine Learning, Unsupervised Machine Learning, and Deep Learning, depending on your course and its complexity. The syllabus will vary depending on the course you opt for. Regardless of the course, the syllabus is vetted by industry experts who have real-world experience of working with Machine Learning. 

Even though it might be slightly tricky, learning Machine Learning on your own is possible. There are many resources online that will take you from having zero knowledge to being able to implement Machine Learning algorithms yourself. To get good at machine learning, you will need to get hands-on practice working on real-world projects.

However, an added layer of live classrooms and assistance from mentors and instructors is key to having a strong understanding of Machine Learning. So, choose the best machine learning course online to upgrade your skills. 

Machine learning is a rising field that's acquiring a lot of attention, but that doesn't mean getting machine learning jobs is easy. Landing a Machine Learning Engineer/Developer job in top organizations means that you need to know more than just Data Science. You are expected to know programming and system design as well. While the best machine learning course online can help you with these factors, here are a few ways to prepare yourself for a Machine learning interview. 

Research as much as Possible: Look into the companies you want to apply for.

Get a Referral: If you have a colleague or a manager who can help you with a referral, add it to your resume. Referrals can give you a big boost during the hiring process. 

Avoid Depending ONLY on the Referrals: If you can get a referral, it is great! But if you cannot, reach out to the HR of the company, and get in touch with top recruiters on LinkedIn. This will improve your chance of getting a response and your chances of getting hired if things work out for you! 

Know your Preferences: Prioritize the companies from the least to the most important. Let us say your dream company is among the MAANG companies. Keep the MAANG organization's interview for last. This will ensure you have enough practice for your most important interview. 

Repeat, Repeat, Repeat: If you end up landing a job in the process - Great! However, if you don't, keep trying this approach until you get a job. Do not lose hope! 

It is not a difficult task for freshers to get a Machine Learning job. To get a job in the Machine Learning field, you need to master all the required skills. You need to plan how you can perform well and work closely with people who have more experience in your field.

Before you begin your job hunt, you can upgrade your skills with a Machine learning certification or a best machine learning course online