Azure Data Engineer Master's Program

Your One-Stop Launchpad to Become a Microsoft Certified Data Engineer

  • Go from novice to a job-ready Azure Data Engineer
  • Ace four key Azure certification exams: AZ-900, DP-900, AZ-104, and DP-203
  • Become a Data Engineering pro across the Full Stack of Azure Data Services
  • Acquire demonstrable skills with exercises, assignments, and capstone projects
  • Launch a high-paying career in Azure data engineering 
Enterprise Training for Teams: Get a Quote
  • 450,000 + Professionals trained
  • 250 + Workshops every month
  • 100 + Countries and counting

Become a Sought-After Data Engineer

Are you seeking a high-growth career with exceptional rewards and the power to drive technological transformation? Welcome to our transformative Azure Data Engineer course that will help you go from beginner to a Data Engineer expert! Dive into a blend of theory, immersive hands-on labs, interactive quizzes, and engaging projects, ensuring a comprehensive understanding of the covered concepts.

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Highlights

  • 64 Hours of Live Instructor-Led Training 

  • 62 Hours of Expert-Led On-Demand Videos 

  • 2,360 Assessment Questions 

  • 49 Guided Hands-On Exercises 

  • 16 Capstone Projects, 16 Guided Assignments 

  • 16 Azure Certification Practice Exams 

  • 10 Complementary Courses Worth $5000 

  • 350 Recall Quiz Questions, 53 Activity Guides

  • 56 Hands-On Browser-Based Labs 

  • Career Support with Job Boost 360

Technologies you Will Master

  • Active Directory
  • App Registrations
  • Application Gateway
  • Applications Insights
  • Azure Advisor
  • Azure Alerts 
  • Azure App Services  
  • Azure Backup
  • Azure Cache for Redis
  • Azure Compliance
  • Azure Cosmos DB
  • Azure Data Factory
  • Azure Data Lake
  • Azure Database for MySQL
  • Azure Database for PostgreSQL
  • Azure Databricks
  • Azure HDInsight
  • Azure Identity Governance
  • Azure Key Vault
  • Azure Managed Database
  • Azure Monitor
  • Azure Monitor logs
  • Azure Networking
  • Azure Production Ready Database
  • Azure Resource Groups
  • Azure role-based access control
  • Azure Security Center
  • Azure Sentinel
  • Azure SQL Database
  • Azure Stream Analytics
  • Azure Subscriptions
  • Azure Synapse Analytics
  • Azure Virtual Machines 
  • Azure Virtual Network Service Endpoints
  • Blob Storage
  • Cloud Computing
  • Cost Management
  • Defender
  • Express Routes
  • Firewall
  • Gateway
  • Internal DNS
  • Kubernetes Services
  • Load Balancer
  • Private Link
  • SQL VM 
  • Storage Table
  • Traffic Manager
  • User Privacy

Ride the Wave of High Demand for Data Engineers

benefits of Azure Data Engineer Master's Program

Azure Data Engineering is a burgeoning field, with over 365,000 organizations registering in Azure annually. Microsoft Azure stands shoulder to shoulder with the likes of AWS in popularity, and as a trusted platform adopted by countless enterprises, Azure Data Engineers are highly sought after.

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The KnowledgeHut Edge

Comprehensive Coverage

Learn from the fundamentals of database concepts and Azure services to form a solid understanding and ability to become a data engineer. 

Industry-Recognized Certifications

Get a chance to acquire four Microsoft Azure certifications that will prove your credential and ability as a Data engineer skilled in using Azure. 

Path to Data Engineering Roles

Learn all aspects of Azure services and database concepts and many exercises to master the data engineer role in Azure environments. 

Maximize Job Readiness

Develop your skills and apply your learnings in realistic environments to become a data engineer with job-ready skills and capabilities.  

Real-World Focus

Learn theory backed by real-world practical assignments and exercises. Skill up and get productive from the get-go with practical experience of applying skills.

Industry Experts

Get trained by leading practitioners who share best practices from their experience across industries through a blend of live training and on-demand videos.

Complimentary Courses

Expand your expertise with complimentary courses collectively worth $5000 that supplement your learning and provide value to your professional development. 

Job Assistance and Placement Support

Receive comprehensive job assistance, including resume and LinkedIn profile reviews, access to network of hiring partners, and interview prep resources. 

prerequisites for Azure Data Engineer Master's Program

Prerequisites

  • Open to professionals regardless of background or experience 
  • We will teach you everything you need from scratch to enable you to kickstart your Data Engineering career 

Who Should Attend

Aspiring Data Engineers

Software Engineers

Data Analysts

Database Administrators

IT Professionals

Cloud Solutions Architect

Aspiring Cloud Professionals

Data Scientists

Graduates

Freshers

What You Will Learn

Cloud Concepts and Azure Services

Understand the fundamental cloud concepts and core Azure services.

Azure Security and Compliance

Learn hands-on about Azure security, privacy, compliance, and trust.

Azure Pricing and Support

Understand all about Azure pricing and support options for optimization.

Core Data Concepts on Azure

Understand core data concepts and how to work with relational and non-relational data.

Types of Data Workloads

Learn about different types of data workloads such as transactional or analytical.

Components of a Modern Data Warehouse

Learn about the components of a modern data warehouse on Azure cloud.

Azure Identities and Governance

Learn to manage Azure identities and implement governance in the cloud.

Azure Storage Management

Learn how you could implement and manage data storage in Azure environment.

Azure Compute Resources

Learn how to deploy and manage Azure compute resources effectively.

Virtual Networking Configuration

Understand how to configure and manage virtual networking in Azure.

Monitoring and Backup in Azure

Learn how you should effectively monitor and back up Azure resources.

Data Storage and Processing

Learn to design and implement data storage and data processing in Azure.

Data Security in Azure

Understand how to design and implement data security in Azure.

Optimizing Data Storage and Processing

Learn to monitor and optimize data storage and data processing in Azure.

Disaster Recovery in Azure

Understand how to design and implement disaster recovery in Azure.

Transform Your Workforce

Empower Your Teams with Data

Skill your teams with critical data skills that will drive a new age way of decision making. Leverage the power of data and the Azure environment. 

  • Get your team skilled with the latest tools  
  • Experience immersive learning 
  • Learn from experts with extensive experience 
  • Get in touch for customized corporate training programs 

500+ Clients

Your Path to Data Engineering Mastery

Download Curriculum

Learning Objective:  

Understand cloud concepts and core Azure services. Learn about Azure security, privacy, compliance, and trust. Develop an understanding of Azure pricing and support. 

Topics:
  • Introduction to Cloud Concepts  
  • Overview of Azure Services  
  • Core Azure Architectural Components  
  • Azure Products and Services  
  • Azure Solutions and Management Tools  
  • Governance, Privacy, and Compliance Features  
  • Azure Pricing and Support 

Course Highlights: 

  • 9.5 Hours of Top-Notch On-Demand Course by established author and Cloud Expert, Anand Rao Nednur 
  • 880+ Assessment Questions  
  • 30 Guided Hands-On Exercises  
  • 4 Guided Assignments  
  • 4 Capstone Projects  
  • 6 Full Practice Exams  

Author Profile: 

Anand Rao Nednur, Cloud and Security Expert with 20 years of experience 

Anand is a seasoned IT professional, specializing in Active Directory. As a cloud computing expert since 2012, Anand holds various cloud computing and cyber security certifications, providing trusted guidance for organizations transitioning to the cloud. He offers consultation on cloud infrastructure, optimizing operations, information security, and data engineering. Anand's passion for educating others is evident through his blog, YouTube, and online courses, simplifying complex cloud and security concepts.  


Learning Objective:  

Understand core data concepts and how to work with relational and non-relational data on Azure. Explore different types of data workloads such as transactional or analytical. Understand the components of a modern data warehouse on Azure. 

Topics:
  • Introduction to Core Data Concepts  
  • Explore Relational Data in Azure  
  • Explore Non-Relational Data in Azure  
  • Explore Modern Data Warehouse Analytics in Azure  
  • Data Security and Compliance 

Course Highlights: 

  • 500+ Assessment Questions  
  • 9 Guided Hands-On Exercises  
  • 4 Guided Assignments  
  • 4 Capstone Projects  
  • 2 Full Practice Exams  
  • 10.5 Hours of Top-Notch Video Instructions from Established Author and Cloud Expert, Eshant Garg

Author Profile: 

Eshant Garg, Microsoft Certified Trainer and Cloud Architect with over 16 years of experience

Eshant is an expert in Database and Business Intelligence Solutions, Advanced Analytics, Design and Solution Architect, Reporting, and Cloud Computing Technologies (Azure and AWS). In his role as a developer and architect, he has closely collaborated with customers, users, and colleagues to provide robust business solutions in healthcare, insurance, finance, and government industries. His experience extends from small companies to Fortune 500 enterprises, showcasing versatility and expertise in diverse settings. 




Learning Objective:  

In this module you will learn to manage Azure identities and governance. Understand how to implement and manage storage. Learn to deploy and manage Azure compute resources. Understand how to configure and manage virtual networking. Learn to monitor and back up Azure resources. 

Topics:
  • Manage Azure Identities and Governance  
  • Implement and Manage Storage  
  • Deploy and Manage Azure Compute Resources  
  • Configure and Manage Virtual Networking  
  • Monitor and Back up Azure Resources 

Course Highlights: 

  • 24 Hours of Live Instructor Led Training   
  • 18 Hours of Self-Paced Content Created by Cloud Expert Anand Rao Nednur
  • 180 Module End Assessments 
  • 350 Recall Quiz Questions
  • 53 Activity Guides 
  • 56 Guided Browser-Based Labs for Hands-On Experience  
  • 4 Capstone Projects 
  • 4 Assignments  
  • 4 Mock Exams  
  • Complementary Course on AZ-103 with 7.5 Hours of Video Content from Accomplished Author, Scott Duffy

Learning Objective:  

Learn to design and implement data storage and data processing in Azure. Understand how to design and implement data security in Azure. Monitor and optimize data storage and data processing in Azure. Understand how to design and implement disaster recovery. 

Topics:
  • Design and Implement Data Storage  
  • Design and Develop Data Processing  
  • Design and Implement Data Security  
  • Monitor and Optimize Data Storage and Data Processing  
  • Design and Implement for Disaster Recovery 

Course Highlights: 

  • 40 Hours of Live Instructor Led Sessions  
  • 24 Hours of Top-Quality Self-Paced Video Content from Established Author and Cloud Expert, Eshant Garg 
  • 800+ MCQs to Test Your Understanding  
  • 10 Guided Hands-On Projects  
  • 4 Assignments 
  • 4 Capstone Projects  
  • 4 Full Practice Exams to Help You Clear the DP-203 Exam in the First Attempt 

1. Master SQL for Data Analysis 

Understand advanced tools and capabilities in SQL. Learn how to combine data from multiple sources, subqueries, data transformation and classification, window functions, views, CTEs, and explore SQL extensively. 

  • Mode of Training: On-demand videos 
  • Duration: 3 hours and 54 minutes 
  • Author: Idan Gabrieli, Senior Solutions Architect with 17 years of industry experience 

2. SQL Server Course for Beginners with 100+ examples 

Learn to create and modify databases and tables, manipulate records, apply constraints, create indexes, and use operators and functions in SQL. You will gain expertise in querying data, ordering results, and acquiring advanced query capabilities for complex databases and queries. 

  • Mode of training: On-demand videos 
  • Duration: 1 hour and 58 minutes 
  • Author: Amit Diwan, founder of Studyopedia.com and Amit Thinks (YouTube Educational Channel)  

3. Job-Ready SQL in an Afternoon  

Understand the fundamentals of the relational model, data types, schemas, and table organization. Dive into SQL code, starting with basic operations like creating databases, tables, inserting and selecting data, and filtering. Explore advanced topics including aggregations, subqueries, joins, unions, and window functions, preparing you for technical interviews and real-world SQL applications. 

  • Mode of training: On-demand videos 
  • Duration: 6 hours and 14 minutes 
  • Author: Maximilian Schallwig, Data Engineer and Python Programmer 

4. Complete Python Course with 10 Real-World Projects  

Get a comprehensive introduction to Python, covering basic to advanced programming techniques. Understand Python basics and progresses to intermediate and advanced concepts, including OOPS, modules, functions, database handling, and building various applications. Become proficient in Python syntax, get the ability to create executable programs independently, and develop a comprehensive understanding of Python. 

  • Mode of training: On-demand videos 
  • Duration: 27 hours and 7 minutes 
  • Author: Ardit Sulce, Python programmer, teacher, and founder of PythonHow 

5. Azure Data Factory for Beginners - Build Data Ingestion 

Get onboarded onto the Azure Data Factory platform to build your first pipeline. Once you grasp the development pattern, you can easily extend it to other data sources. Learn to build a metadata-driven framework for dynamic ingestion, enable auditing and monitoring for business intelligence. Get equipped to design, implement, and deploy data ingestion solutions in Azure. 

  • Mode of training: On-demand videos 
  • Duration: 6 hours and 29 minutes 
  • Author: David Mngadi, Data Engineering Architect and Consultant with 14 years of data management experience. 

6. A Developer's Guide to Building Resilient Cloud Applications with Azure  

Learn about migrating old apps to Azure using the Cloud Adoption Framework and building secure and reliable applications. Explore modernizing existing apps with new technologies and approaches, while understanding Azure Container Registry, Azure Container Instances, and Azure Kubernetes Service for developing microservices-based applications. Acquire the skills to perform application migration, select appropriate Azure services, and implement cloud-oriented applications using containers and orchestrators. 

  • Mode of training: e-Book  
  • Number of pages: 274  
  • Author: Hamida Rebai Trabelsi, Senior Cloud Solution Integration Architect, Microsoft MVP Developer Technologies, Microsoft Certified Trainer, and Author    

7. Windows Server Automation with PowerShell Cookbook 

Learn how to effectively install, configure, and utilize PowerShell 7.2. Understand topics like installation, new features, compatibility solutions, and progresses to fundamental and advanced use cases such as VM creation, Azure VPN setup, networking management, Active Directory, Hyper-V, Azure, WSUS, containers, module handling, and issue diagnosis and resolution on Windows Server. Get be proficient in automating tasks on Windows Server 2022 using PowerShell 7.2, optimizing your Windows environment for enhanced performance. 

  • Mode of training: e-Book  
  • Number of pages: 714  
  • Author: Thomas Lee, Consultant, Trainer, and Writes active in IT industry since the 1960s

8. Azure Machine Learning Engineering  

Understand how to train and deploy ML models at scale. Cover topics like training, registering, and productionizing models using Azure Machine Learning service, scoring models in real-time and batch, explaining models for business trust, mitigating model bias, and implementing MLOps. Build and deploy end-to-end ML solutions in Azure for real-time scenarios, enabling you to integrate ML into production systems effectively. 

  • Mode of training: e-Book  
  • Number of pages: 362  
  • Authors: Sina Fakhraee, Ph.D. (Enterprise Data Scientist, and Senior Cloud Solution Architect), Balamurugan Balakreshnan (Principal Cloud Solution Architect at Microsoft Data/AI Architect and Data Science.), and Megan Masanz (Principal Cloud Solution Architect focused on Data, AI, and Data Science)     

9. Cloud Auditing Best Practices 

Get an introduction to cloud architecture and the importance of cloud control assessments, guiding you to become proficient in cloud auditing. Navigate AWS, Azure, and GCP environments, learn to build cloud IT auditing programs using tools like Terraform, Azure Automation, and AWS Policy Sentry, and gain insights into preparing advanced audits and monitoring cloud environments. Confidently apply and assess security controls for AWS, Azure, and GCP, ensuring compliance in the cloud independently and effectively. 

  • Mode of training: e-Book  
  • Number of pages: 268  
  • Authors: Shinesa Cambric (CCSP, CISSP, CISA, CISM, CDPSE) Cloud Security, Compliance, and Identity Architect and Michael Ratemo (CISSP, CISA, CISM, GCSA, CCSK, CIA) Cybersecurity Leader and Principal Consultant.

10. Apache Spark 3 for Data Engineering and Analytics with Python 

Understand key concepts of PySpark, including Spark architecture, transformations, actions, and leveraging Python, Java, and SQL in the Spark ecosystem. Learn how to set up a Python environment for Spark, cover data collection, cleaning, and visualization using Databricks, and explore interacting with DataFrames using SQL. Delve into RDDs and engage in challenges to reinforce your understanding throughout the course. 

  • Mode of training: On-demand videos 
  • Duration: 8 hours and 30 minutes 
  • Author: David Mngadi, Data Engineering Architect and Consultant with 14 years of data management experience

Frequently Asked Questions

Azure Data Engineer Master's Program

Data Engineering is a career that’s full of promise and growth. It is not a job role that is very accessible to someone without a tech background. This master’s program is designed to comprehensively cover all the knowledge areas and skills that you will need to become a Data Engineer even if you don’t have a tech background. 

We focus on both the theoretical and practical aspects of learning that are needed. You will attend trainer-led live sessions, on-demand videos that you can view at your convenience, and also a curated list of eBooks that you can refer to. You also have an extensive set of exercises, assignments, projects, and assessments designed to give you all the practical skills needed to be a Data Engineer in an Azure environment.  

Yes, this program is thorough as it covers four different Azure programs that range from learning the fundamentals of Azure cloud services and database concepts to learn how to use the entire range of Azure data services and manage data throughout every stage including design, management, monitoring, security, recovery, and privacy.  

Apart from getting trained on four valuable certifications that will prove your credentials as a skilled Data Engineer, the program also comes packed with ten complementary courses that are collectively worth $5000. These courses will let you learn SQL, Python, Apache Spark, PowerShell etc., that will significantly increase the scope of what you could do as a Data Engineer. 

There is a collection of ten courses that are collectively worth $5000 that is made available for the learners of this course. These courses are aligned with the Data Engineer profile and are designed to enhance your capabilities as a Data Engineer:

Course Name 

Mode of Training 

Course Length 

Author 

Master SQL for Data Analysis 

On-demand videos 

3 Hours and 54 Minutes 

Idan Gabrieli 

SQL Server Course for Beginners with 100+ examples 

On-demand videos 

1 Hour and 58 Minutes 

Amit Diwan (Studyopedia) 

Job-Ready SQL in an Afternoon 

On-demand videos 

6 Hours and 14 Minutes 

Maximilian Schallwig 

Complete Python Course with 10 Real-World Projects 

On-demand videos 

27 Hours and 7 Minutes 

Ardit Sulce 

Apache Spark 3 for Data Engineering and Analytics with Python 

On-demand videos 

8 Hours and 30 Minutes 

David Mngadi 

Azure Data Factory for Beginners - Build Data Ingestion 

On-demand videos 

6 Hours and 29 Minutes 

David Mngadi 

A Developer's Guide to Building Resilient Cloud Applications with Azure 

e-Book 

274 Pages 

Hamida Rebai Trabelsi 

Windows Server Automation with PowerShell Cookbook 

e-Book 

714 Pages 

Thomas Lee 

Azure Machine Learning Engineering 

e-Book 

362 Pages 

Sina Fakhraee, Ph.D., 

Balamurugan Balakreshnan, and Megan Masanz

Cloud Auditing Best Practices 

e-Book 

268 Pages 

Shinesa Cambric and Michael Ratemo 

    

This program is built to benefit the learner in a variety of ways. The primary learning is delivered through a combination of live and interactive trainer led sessions and on-demand videos. This gives many opportunities for learners to grasp complex topics in a logical and progressive manner. It also allows the learners to get their doubts clarified or bridge gaps in their understanding. 

The program also comes loaded with recall quizzes that help in refreshing and testing the learning. There are assignments and exercises that allow you to practice these learnings to test their practical applications. You will also get to do end-to-end projects with the tools so that you become ready to apply your knowledge and skills in a real-world scenario.  

The Azure Data Engineer learning path is designed to provide you with a comprehensive understanding of Azure Data Engineering, equipping you with the skills and knowledge needed to excel in your career. With a mix of theoretical learning, practical exercises, and exam preparation, you'll be well-prepared to take on the role of an Azure Data Engineer.

The program incorporates the latest industry trends and emerging technologies. By the end of this learning path, you will have a comprehensive understanding of Azure data services and how to use them to design, implement, and manage data solutions. In particular, you will have hands-on skills to:

  • Help stakeholders understand the data through exploration
  • Build and maintain secure and compliant data processing pipelines by using different tools and techniques
  • Use various Azure data services and frameworks to store and produce cleansed and enhanced datasets for analysis
  • Ensure that the operationalization of data pipelines and data stores are high-performing, efficient, organized, and reliable, given a set of business requirements and constraints
  • Identify and troubleshoot operational and data quality issues
  • Design, implement, monitor, and optimize data platforms to meet the data pipelines


The Azure Data Engineer Master's Program offers the flexibility and self-paced structure necessary for learners to tailor their educational journey to their unique needs and schedules. The program ensures access to a wide range of comprehensive learning resources, such as recorded lectures, self-paced videos, hands-on exercises, and industry projects.

The duration of the program is not predetermined, as it allows learners to progress at their own pace, taking into account their learning speed and personal commitment. This approach ensures that learners have the freedom to adjust their study schedule and pace according to their availability and individual learning goals. Whether learners prefer an accelerated or more extended learning experience, the program provides the flexibility needed to accommodate their preferences.

Yes, Data Engineering Master's Program offers industry-recognized certifications that validate learners' skills and knowledge in Azure Data Engineering. These are namely:

  1. AZ-900 (Microsoft Azure Fundamentals): For beginners in Azure, this course will help in understanding the basics of cloud services and how those services are provided with Microsoft Azure. 
  2. DP-900 (Microsoft Azure Data Fundamentals): This course will be helpful in learning the fundamentals of database concepts in a cloud environment, and acquiring basic skills in cloud data services, apart from building foundational knowledge of cloud data services within the Azure environment.  
  3. AZ-104 (Microsoft Azure Administrator): This course will help you understand the organization's Azure environment, including managing subscriptions, resources, storage, and security.  
  4. DP-203 (Data Engineering on Microsoft Azure): This is the final certification where you will learn how to design and implement the management, monitoring, security, and privacy of data using the full stack of Azure data services. 

There are no prerequisites for the Data Engineering Master’s program. The course is beginner friendly and anyone with an interest in Data Engineering can enroll. 

Yes, this program is beginner friendly. Anyone with an interest in Data Engineering can register for this program. The program starts from exploring the fundamental concepts and tools that are involved in cloud computing and databases.  

The gradual development of the skillset in the learner is planned so that each of the modules will build on the concepts that were learned earlier helping you to gain a solid understanding of the concepts and tools. A range of assignments, quizzes, and projects will also ensure you know the practical applications of everything you are learning. 

Our Data Engineering Master’s program is currently delivered online through a blend of live classes and self-paced on-demand videos. These sessions are also supplemented by a range of learning tools including quizzes, assignments, projects, and e-books. This format ensures that you become well-versed in the theoretical and practical aspects of Data Engineering. 

The program's cost will vary depending on the location you enroll from. They may also vary a bit depending on when you enroll. To check the accurate rate for you please visit our schedule page. 

There are two elements to the cost that you will incur for this program. One is the course fee and the second is the exam fee for the four certification exams by Microsoft. You have the option to buy exam vouchers along with the course or pay the exam fee separately.  

Azure Certifications

Yes, the program is based on Azure certifications. These are as follows:

  1. AZ-900 (Microsoft Azure Fundamentals): For beginners in Azure, this course will help in understanding the basics of cloud services and how those services are provided with Microsoft Azure.
  2. DP-900 (Microsoft Azure Data Fundamentals): This course will be helpful in learning the fundamentals of database concepts in a cloud environment, and acquiring basic skills in cloud data services, apart from building foundational knowledge of cloud data services within the Azure environment. 
  3. AZ-104 (Microsoft Azure Administrator): This course will help you understand the organization's Azure environment, including managing subscriptions, resources, storage, and security. 
  4. DP-203 (Data Engineering on Microsoft Azure): This is the final certification where you will learn how to design and implement the management, monitoring, security, and privacy of data using the full stack of Azure data services.

Yes, the program is comprehensive with a focus on all the exam domains relevant for each of the four Azure certifications. Each of the exams is divided into domains, each with its assigned weights, as shown below. The percentage next to each topic indicates the expected proportion of questions from that domain.

AZ-900: Microsoft Azure Fundamentals

  • Describe Cloud Concepts (20-25%)
  • Describe Core Azure Services (15-20%)
  • Describe General Security and Network Security Features (10-15%)
  • Describe Identity, Governance, Privacy, and Compliance Features (20-25%)
  • Describe Azure Cost Management and Service Level Agreements (10-15%)

DP-900: Microsoft Azure Data Fundamentals

  • Describe Core Data Concepts (15-20%)
  • Describe How to Work with Relational Data on Azure (25-30%)
  • Describe How to Work with Non-Relational Data on Azure (25-30%)
  • Describe an Analytics Workload on Azure (25-30%)

AZ-104: Microsoft Azure Administrator

  • Manage Azure Identities and Governance (15-20%)
  • Implement and Manage Storage (10-15%)
  • Deploy and Manage Azure Compute Resources (25-30%)
  • Configure and Manage Virtual Networking (30-35%)
  • Monitor and Back up Azure Resources (10-15%)

DP-203: Data Engineering on Microsoft Azure

  • Design and Implement Data Storage (40-45%)
  • Design and Develop Data Processing (25-30%)
  • Design and Implement Data Security (10-15%)
  • Monitor and Optimize Data Storage and Data Processing (10-15%)
  • Design and Implement for Disaster Recovery (5-10%)

Here is an overview of the four Azure certification exam formats:

1) AZ-900: Microsoft Azure Fundamentals 

  • Number of Questions: 40-60 questions 
  • Exam Duration: 85 minutes 
  • Exam Format: Multiple choice and multiple response questions 
  • Passing Score: 700 out of 1000 
  • Exam Fee: $99 USD 

2) DP-900: Microsoft Azure Data Fundamentals 

  • Number of Questions: 40-60 questions 
  • Exam Duration: 85 minutes 
  • Exam Format: Multiple choice and multiple response questions 
  • Passing Score: 700 out of 1000 
  • Exam Fee: $99 USD 

3) AZ-104: Microsoft Azure Administrator 

  • Number of Questions: 40-60 questions 
  • Exam Duration: 180 minutes 
  • Exam Format: Multiple choice and multiple response questions 
  • Passing Score: 700 out of 1000 
  • Exam Fee: $165 USD 

4) DP-203: Data Engineering on Microsoft Azure 

  • Number of Questions: 40-60 questions 
  • Exam Duration: 180 minutes 
  • Exam Format: Multiple choice and multiple response questions 
  • Passing Score: 700 out of 1000 
  • Exam Fee: $165 USD

Career Benefits

Completing the Master's Program in Azure Data Engineering opens up a range of exciting career opportunities. With the growing demand for skilled professionals in the field, you can pursue various job roles, including:

  1. Azure Data Engineer: As an Azure Data Engineer, you'll be responsible for designing, building, and maintaining scalable data solutions on the Azure platform. Your role will involve data integration, data transformation, data storage, and ensuring data quality and governance.
  2. Data Architect: Data Architects focus on designing and managing the overall data architecture for organizations. With your expertise in Azure Data Engineering, you'll play a crucial role in developing data strategies, designing data models, and ensuring the effective integration of data systems.
  3. Big Data Engineer: In this role, you'll work with large-scale data processing frameworks and technologies. Leveraging your knowledge of Azure Data Engineering, you'll design and implement efficient big data solutions, optimize data pipelines, and handle complex data processing tasks.
  4. Cloud Data Engineer: Cloud Data Engineers specialize in building and managing data solutions in cloud environments. With your mastery of Azure Data Engineering, you'll be well-equipped to develop and deploy scalable and secure data solutions on the Azure cloud platform.
  5. Data Science Engineer: As a Data Science Engineer, you'll collaborate with Data Scientists and Machine Learning Engineers to implement data-driven solutions. Your role will involve building data pipelines, deploying machine learning models, and ensuring the efficient processing of data for advanced analytics.
  6. Data Consultant: With your expertise in Azure Data Engineering, you can work as a consultant, helping organizations architect and optimize their data infrastructure, implement data management best practices, and drive data-driven decision-making.

These are just a few examples of the diverse career paths available to Azure Data Engineering graduates. The demand for skilled professionals in this field is growing rapidly, and with a master's program in Azure Data Engineering, you'll be well-positioned to pursue rewarding and impactful roles in data engineering, analytics, and cloud computing domains.

Several top companies across various industries are actively hiring professionals with a master's program in Data Engineering. Here are some notable companies known for their focus on data and technology: 

  1. Microsoft: As the creator of Azure, Microsoft itself offers ample opportunities for Azure Data Engineering professionals to work on cutting-edge projects within the company.
  2. Amazon: With its AWS platform and a strong emphasis on data-driven decision-making, Amazon is continuously seeking skilled Data Engineers to optimize data infrastructure and drive data-driven insights.
  3. Google: Google heavily relies on data to enhance its products and services. They hire Data Engineers to develop robust data solutions, optimize data pipelines, and extract insights from vast amounts of data.
  4. Facebook: Facebook leverages data to provide personalized experiences to its users. They hire Data Engineers to build and maintain scalable data systems and pipelines, enabling efficient data processing and analytics.
  5. Netflix: As a leading streaming platform, Netflix relies on data to personalize recommendations and improve user experiences. They hire Data Engineers to develop scalable data solutions and optimize data processing pipelines.
  6. Uber: Uber's operations generate large amounts of data that require efficient management and analysis. They hire Data Engineers to design data infrastructure, optimize data pipelines, and support data-driven decision-making.
  7. Airbnb: Airbnb utilizes data to enhance its accommodation marketplace and deliver personalized experiences to users. They hire Data Engineers to build data pipelines, implement data quality processes, and enable data analytics.
  8. LinkedIn: LinkedIn relies on data to connect professionals and deliver relevant content. They hire Data Engineers to build scalable data platforms, optimize data pipelines, and enable data-driven decision-making.

The demand for data-driven insights spans across industries, including technology, finance, healthcare, e-commerce, and more. By obtaining a master's program in Data Engineering, you position yourself for exciting career opportunities with renowned companies at the forefront of the data revolution.

A data engineer typically earns an average annual salary of $124,610. This can vary according to the location, experience, organization, and skillset among other factors. Data engineering is a discipline where professionals usually earn well even as beginners since there is a huge demand for this job and not enough skilled candidates vying for it. 

The average annual salary for a Data Engineer can start from $82,250 and go up to $188,784. 

Yes, you can pursue the Azure Data Engineering Master's Program on a part-time basis while working full-time. Our program is designed to accommodate the needs of working professionals, providing flexibility and convenience. You'll have access to online classes, self-paced learning resources, and recorded sessions that can be accessed at any time.

This allows you to balance your professional commitments while actively progressing through the program. You can study at your own pace, ensuring that you effectively manage your workload while acquiring in-demand skills and knowledge in Azure Data Engineering. We understand the importance of finding a balance between work and education, and our program is structured to support your professional growth without compromising your career.

During the Azure Data Engineering Master's Program, you will work on a variety of industry-relevant projects to apply your learning and gain practical experience from Azure Fundamentals to Azure Administration and Data Engineering on Azure, namely:

AZ-104: Microsoft Azure Administrator 

  1. Implement Azure Kubernetes Service (AKS)  
  2. Implement Traffic Management  
  3. Implement Azure App Service, Web App  
  4. Backup & Restore for Virtual Machine

DP 900 (Microsoft Azure Data Fundamentals)

  1. Integrated Analytics with Azure Synapse 
  2. Relational Database (Designing Schema and Tables) 
  3. Develop a Database to Analyze and Visualize Hotel Booking Data 
  4. Configure throughput for Azure Cosmos DB SQL API   

DP-203: Data Engineering on Microsoft Azure

  1. Analyzing and Building Azure Services Performance Dashboard with Azure Synapse  
  2. Data Movement and Transformation Orchestration with Azure Synapse Pipelines  
  3. Data Copy, Exploration, and Transformation with Azure Databricks  
  4. Implementing End-to-End Security for Azure Synapse Analytics  

AZ900 - Microsoft Azure Fundamentals

  1. Accessing VM's from Azure Jump Server 
  2. Enabling Peering between Two Regions 
  3. Working with Load Balancer 
  4. Working with Network Security Gateway (NSG)

Yes, you will also work on four assignments pertaining to each of the modules:

AZ-104: Microsoft Azure Administrator 

  1. Manage Azure Active Directory Identities/Users  
  2. VM Interconnection Between 2 Regions  
  3. Manage Azure Virtual Machine (VM) 
  4. Implement Azure Monitoring

DP 900 (Microsoft Azure Data Fundamentals)

  1. Mini-project- Sorting and Filtering Data  
  2. Working with SQL Server Data Types 
  3. Mount Blob storage to Databricks and perform cleaning with PySpark. 
  4. Create a New Version of the COVID-19 Power BI App

DP-203: Data Engineering on Microsoft Azure

  1. Evaluation of Azure Storage for Efficient File Storage and Protection Mechanisms  
  2. Leveraging Azure Services for Secure and Efficient Data Hosting  
  3. Provisioning High Availability Azure SQL Database with Geo-Replication  
  4. Securing Data with Azure SQL Database and Stream Processing using Event Hubs

AZ900 - Microsoft Azure Fundamentals

  1. Uploading Data to Azure Blob Storage 
  2. Working with Azure IAM Services 
  3. Assigning Tags to Azure Services 
  4. Creating Container Instances in Azure

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