Azure Data Engineer Master's Program

Launch a High-Paying Career in Data Engineering with Azure Data Engineer Master's Program

  • Go from novice to a job-ready Azure Data Engineer
  • Work on real-world case studies and projects to beef up your portfolio
  • Get 70 hours of the best live expert training on how to become a Data Engineer
  • Ace 4 Azure certifications along the way (AZ-900, DP-900, AZ-104, and DP-203)
  • Get extensive interview prep support and mock interviews to crack Data Engineer interviews
Enterprise Training for Teams: Get a Quote
  • 450,000 + Professionals trained
  • 250 + Workshops every month
  • 100 + Countries and counting

Become a Job-Ready Data Engineer

Are you poised to launch into a high-growth, financially rewarding career that shapes technological frontiers? Introducing the Azure Data Engineer Master's Program – a transformative journey that propels you from novice to expert in the realm of data engineering. This program is more than a learning path; it's a comprehensive adventure blending solid theory, hands-on labs, interactive quizzes, and project-based learning to ensure a profound understanding of all key concepts.

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Highlights

  • 70 Hours of Live Instructor-Led Training  

  • 60 Hours of Expert-Led On-Demand Videos 

  • 16 Guided Assignments  

  • 16 Azure Certification Mock Exams  

  • 16 Real-World Capstone Projects 

  • 8 Complimentary Courses Worth $3,000  

  • Career Support with Job Boost 360 

  • 2,360 Assessment Questions  

  • 49 Guided Hands-On Exercises  

  • 350 Recall Quiz Questions, 53 Activity Guides 

  • 56 Hands-On Browser-Based Labs  

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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Ready to get started?

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The KnowledgeHut Edge

Focus on Job Readiness

Apply your learnings in realistic environments and master practical data engineering skills, turning theory into job-ready expertise.

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. 

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. 

Hands-On Practical Approach

Gear up to tackle real-world challenges through 20 capstone projects and ensure you're ready to get productive from the get-go with practical experience.

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 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 $3000 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. 

Impress Recruiters with a Stellar Project Portfolio

Dive into our array of tailored capstone projects, meticulously designed to maximize your proficiency with Azure services as a Data Engineer. Apply this hands-on learning experience to effectively spotlight the skills you've recently acquired to potential recruiters.

  • Data Warehousing
    Data Warehousing E-commerce

    Construct a data warehouse for e-commerce and hone skills in data warehousing, integration and more.

  • Data Governance, Security, and Storage
    Data Governance, Security, and Storage Healthcare

    Integrate healthcare patient records effectively emphasizing data governance, security, and storage.

  • Inventory Optimization
    Inventory Optimization Retail

    Enhance retail efficiency through data analysis techniques leveraging SQL, data processing, and modeling.

  • Sentiment Analysis Pipeline Design
    Sentiment Analysis Pipeline Design Social Media

    Design a Sentiment Analysis Pipeline with a focus on data orchestration, processing, and storage workflows.

  • Scalable Applications with AKS
    Scalable Applications with AKS Azure Kubernetes

    Perform container orchestration with AKS to revolutionize multi-tier applications.

  • Optimize Traffic Management
    Optimize Traffic Management Traffic Management

    Optimize application performance and availability with effective traffic management strategies.

  • Accelerate Web Development
    Accelerate Web Development App Service

    Deploy and manage scalable web apps using Azure App Service and Web App capabilities.

  • Backup and Restore
    Backup and Restore Virtual Machines

    Safeguard virtual machine (VM) data with reliable backup and restore solutions on Azure.

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

Getting Started

Get started with the Azure Data Engineer Master's Program, covering domain overview, roles, setup, and significance.

Fundamentals Concepts of Cloud

Master cloud fundamentals, benefits, challenges, differentiate IaaS, PaaS, SaaS, and grasp key cloud terminologies.

Azure Cloud Fundamentals

Learn Azure architecture, resources, tools, gain hands-on experience, understand security for a solid cloud foundation.

Linux Fundamentals

Master Linux basics like command navigation, file management, permissions, processes, and networking fundamentals.

Introduction to Data Management

Understand relational databases, its concepts, architecture, design principles, data modeling, and hands-on SQL experience.

MS Azure Data Fundamentals

Learn Azure data concepts, relational/non-relational workloads, and familiarize with Azure data services.

Data Analysis Using SQL

Master SQL, analyze data, write complex queries, grasp normalization, and optimization principles.

Data Warehousing

Gain expertise in data warehousing by grasping concepts, architecture, and ETL principles, with hands-on experience.

MS Azure Data Engineering

Learn Azure data fundamentals, covering relational and non-relational workloads, Azure services, and hands-on experience.

Amplify Career Growth with Job Boost 360

Unlock new career opportunities, enhance your marketability, and accelerate your path to success.

Soft Skills Empowerment
  • Enhance Interpersonal Skills 
  • Develop Communication Techniques
  • Gain Leadership Skills
Career Elevation
  • Mentoring by Experts
  • LinkedIn and Resumé Building
  • Access 5000+ Hiring Partners
Interview Mastery
  • Mentor Guidance and Coaching
  • Effective Techniques and Strategies
  • Feedback and Tips by Experts

Your Path to Data Engineering Mastery

Download Curriculum

Learning Objective: 

Initiate your journey in the Azure Data Engineer Master's Program, covering foundational Data Engineering concepts, exploring Azure services, understanding roles, responsibilities, and mastering the setup of Azure subscriptions and accounts. 

Topics:
  • Getting started with Azure Data Engineer Master's Program 
  • Overview of Data Engineering  
  • Overview of Azure services for Data Engineering  
  • Data Engineering Jobs Roles and Responsibilities  
  • Getting Started with Azure’s Subscriptions and Account   

Learning Objective:  

Gain a solid understanding of the core concepts and advantages of cloud computing. Through engaging lessons, you will delve into key terminology and concepts associated with cloud computing, enabling you to speak fluently about the subject. We will explore various cloud models, including public, private, and hybrid clouds, and their distinctive characteristics. Learn about Infrastructure as a Service (IaaS) and its practical applications and familiarize yourself with Platform as a Service (PaaS) and Software as a Service (SaaS), gaining insights into their specific use cases.


Mode of Training:
On-Demand Learning 

Topics:
  • What is Cloud Computing - I  
  • What is Cloud Computing - II  
  • Benefits of Cloud Computing  
  • Key Concepts and Terminology  
  • Cloud Models: What is Public Cloud  
  • Cloud Models: Characteristics of Public Cloud  
  • Cloud Models: What is Private Cloud  
  • Cloud Models: Characteristics of Private Cloud  
  • Cloud Models: Hybrid Cloud  
  • Cloud Models: Characteristics of Hybrid Cloud  
  • Review and What Next!!  
  • What is IAAS?  
  • Use Cases of IAAS  
  • What is PAAS?  
  • Use Cases of PAAS  
  • What is SAAS? 

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 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:  

Gain a comprehensive exploration of Linux, covering key aspects such as its history, distributions, and fundamental concepts. Obtain proficiency in using the Linux command line interface (CLI), create and edit files using different text editors, understand user and group management, and explore essential features like package management, process management, networking configuration, and shell scripting. This course provides a solid foundation in Linux, equipping you with the skills to navigate and utilize the Linux environment effectively. 

  • Master Linux fundamentals: history, distributions, and key concepts 
  • Navigate, execute commands, and manage files with Linux CLI 
  • Create, edit, and manipulate files using various text editors 
  • Manage users, groups, permissions, and file access in Linux 
  • Explore crucial Linux features: package management, process handling, networking, and shell scripting 
Topics:
  • Introduction to Linux  
  • Linux Command Line  
  • Files & Directories  
  • Creating and Editing Files  
  • User, Group and Permissions  
  • Other Essential Features  
  • Processes in Linux  
  • Networking in Linus  
  • Shell Scripts 


Mode of Training: 

On-Demand Learning 


Course Author: 

Shobhit Nigam (19+ years of experience) 

Learning Objectives: 

Gain a comprehensive understanding of relational databases, emphasizing their concepts and significance. Understand the architecture of relational databases, gaining insights into their key aspects and design principles. Delves into data modeling methodologies, enabling a deeper understanding of structuring data effectively. Get hands-on experience with SQL components, enhancing their practical skills in managing and querying relational databases. 

Topics
  • Introduction to Relational Databases  
  • Architecture of Relational Databases  
  • Important Aspects of Relational Databases  
  • Database Structure and Design  
  • Data Modeling Methodologies  
  • SQL Components 

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 

Learning Objectives: 

Understand the significance of SQL in data analysis, enabling participants to write complex queries for data extraction and manipulation. Learners will recognize the principles of database normalization and optimization. The course provides hands-on experience with real-world data analysis scenarios using SQL, ensuring practical application of the acquired skills.

  • Understand essential SQL database Commands 
  • Filter data and operators in SQL 
  • Learn about Aggregation and Summary functions 
  • Learn about combining tables 
  • Explore advanced Data Analysis using SQL 
Topics
  • What is SQL and Why is it Important?  
  • SQL Database Admin Commands  
  • The Basics of SQL  
  • Filtering Data Using WHERE Clause in SQL  
  • Aggregation and Summary Functions in SQL  
  • Miscellaneous Analysis in SQL  
  • Table to Table Relationship in SQL  
  • Combining Tables  
  • Advanced SQL Data Analysis  
  • Making Efficient Analysis 

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 Objectives: 

  • Learn different types of implementation methods/data stores of data warehouse 
  • Learn Data Integration 
  • Ecosystem of Data Warehouse. 
Topics
  • Concept of a Data Warehouse  
  • The Different Implementation Methods of the Data Warehouse  
  • Data Integration  
  • Data model for a data warehouse  
  • Designing Dimension Models  
  • Managing history in data warehouse  
  • Ecosystem for data warehouse  
  • Business Intelligence  
  • Industry Examples 

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:  

  • 45 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) Becoming a Rockstar SRE

Learn to excel as a Site Reliability Engineer (SRE) by balancing business demands, overcoming technical limitations, and driving revenue. "Becoming a Rockstar SRE" delves into real-world examples, guiding you through automation, reliability best practices, and effective communication with businesses. Gain insights into observability, outage resolution, and advancing your SRE career with certifications and interview tips. 

  • Mode of Training: e-book 
  • Number of pages: 420 pages 
  • Authors:  
    • Jeremy Proffitt is an SRE with AWS Certifications, problem-solving zeal, and visionary observability expertise.
    • Rod Anami is the Global SRE leader at Kyndryl, certified in AWS, HashiCorp, Azure, Kubernetes, and more, contributing to open source with Node.js libraries.

2) Linux Crash Course for Beginners – 2023 

Explore Linux basics and system administration in this course. Understand open-source principles, filesystems, and distributions like Redhat, CentOS, Fedora, Debian, and Ubuntu. Master Linux commands for file management, display, monitoring, and networking. Gain practical skills and knowledge of how Linux functions. 

  • Mode of training: On-demand videos
  • Duration: 5 hours 
  • Author: Imran Afzal, seasoned systems expert at Time Warner since 2000, led Fortune 500 projects in Linux/Unix, datacenter migration, VMware, and Amazon cloud. Certified in Linux Systems Management, UNIX, VMWare, and more. 

3) Linux Network Administration 

Embark on a Linux introductory course, covering installation, network setup, NIC bonding, file transfers, SSH, telnet, IP addressing, NTP, and troubleshooting. Access resources and codefiles independently. 

  • Mode of training: On-demand videos
  • Duration: 3 hours
  • Author: Imran Afzal, seasoned systems expert at Time Warner since 2000, led Fortune 500 projects in Linux/Unix, datacenter migration, VMware, and Amazon cloud. Certified in Linux Systems Management, UNIX, VMWare, and more. 

4) Introduction to DevOps

Explore the essential buzzword of DevOps, focusing on key practices, tools, and the DevOps-Cloud (AWS and Azure) relationship. Ideal for beginners and those seeking a DevOps career kickstart or a quick refresher. Acquire working knowledge and become a facilitator in DevOps functions. 

  • Mode of training: On-demand videos
  • Duration: 2 hours
  • Author: Anand Rao Nednur is Cloud consultant for 15+ years, skilled in Azure, AWS, GCP, IAM, security, PowerShell, Python. Global impact in major enterprises, diverse training locations (USA, Bahrain, Kenya, UAE), contributions to content, engineer support, and certifications. 

5) Job-Ready SQL in an Afternoon

Learn SQL, the language for interacting with SQL databases, gaining fundamental knowledge like the relational model and data types. Set up a local Postgres database, write SQL code for tasks like creating databases, inserting data, and performing filtering. Deepen your understanding with aggregations, subqueries, joins, unions, and window functions. Be well-prepared to apply SQL in technical interviews and on the job. 

  • Mode of training: On-demand videos
  • Duration: 6 hours
  • Author: Maximilian Schallwig, a data engineer with a physics and astrophysics background, transitioned from data science to specializing in big data tools and infrastructure design.

6) Complete Python Course with 10 Real-World Projects

Master Python's multi-paradigm programming with this course. Covering basics to advanced concepts, including OOP, Matplotlib, NumPy, Flask, and Android APK files. Build apps like a volcano web map generator, object detector, personal website, book inventory desktop GUI, data analysis dashboard, mobile apps, real estate data scraper, web app for user data, Django blog and translator, and Excel file processor. Gain comprehensive Python skills to create independent executable programs and master coding syntax.

  • Mode of training: On-demand videos
  • Duration: 27 hours 
  • Author: Ardit Sulce, Python programmer and founder of PythonHow, holds a master's in geospatial technologies. Experienced in remote sensing, he collaborated on mapping Australian ecosystems, image processing with Swiss in-Terra, and data mining for business insights with Australian Rapid Intelligence.

7) DevOps Project - 2023: CI/CD with Jenkins Ansible Kubernetes  

Learn to build a CI/CD pipeline with GitHub, Jenkins, Maven, Docker, Ansible, and Kubernetes. Start by setting up Jenkins, Maven, Git, Tomcat, and GitHub. Expand to deploying artifacts on Docker and Ansible, covering Dockerfile, image creation, and container integration. Finally, deploy on Kubernetes using Ansible, completing a comprehensive CI/CD pipeline for Java applications on AWS. 

  • Mode of training: On-demand videos  
  • Duration: 6 hours 
  • Author: A.R. Shankar, a top Cloud and DevOps trainer, excels in tech education since 2013. 

8) Fun Introduction to Cloud Computing  

Demystify cloud computing through relatable examples, shaping your understanding of AWS and the cloud. Follow TrendyCorp's journey and gain a clear, simplified perspective on cloud technologies.

  • Mode of training: e-book
  • Number of Pages: 358 Pages
  • Authors:  
    • Ashish Prajapati, a Senior Technical Instructor at Amazon Web Services (AWS)
    • Marco Tamassia, a Senior Technical Instructor at Amazon Web Services (AWS)
    • Juan Carlos Ruiz, a Technical Trainer at Amazon Web Services (AWS)

Frequently Asked Questions

Azure Data Engineer Master's Program

As you embark on a journey towards becoming a Data Engineer, this master's program is tailored to guide you, even without a prior tech background. Here's what you can expect from this comprehensive program:

  1. End-to-End Curriculum: You'll traverse a professionally designed learning path, starting from Cloud, Data, and Linux fundamentals to advanced Data Engineering. This will give you a holistic grasp of the domain.
  2. Certification Edge: You'll prepare for four industry-recognized certifications (AZ-900, DP-900, AZ-104, DP-203), with comprehensive video instructions from Cloud Experts like Anand Rao Nednur and Eshant Garg.
  3. Expert-Led Content: Immerse yourself in over 60 hours of top-class self-paced content delivered by renowned experts.
  4. Hands-on Experience: You'll engage in over 70 hours of live instructor-led training. This is complemented by guided lab demos, hands-on exercises, and real-world capstone projects.
  5. Quantifiable Learning: Your progress will be rigorously tested through 16 mock exams, 16 assignments, and 16 capstone projects, ensuring you are comprehensively trained at every stage.
  6. Job-Ready Focus: The program offers comprehensive job assistance, including resume reviews, access to a network of 5000+ hiring partners, and curated interview preparation resources.
  7. Lifetime Access & Flexibility: You'll never miss a beat with lifetime access to course materials and recorded live sessions.
  8. Complementary Courses: You'll also gain access to 8 bonus courses worth $3000, broadening your learning horizon.
  9. Practical Setup Guidance: You'll receive a step-by-step guide to create a FREE Trial Microsoft AZURE Cloud account, ensuring you're industry-ready.
  10. Certification of Completion: Upon finishing the course, you'll earn a prestigious certificate, amplifying your professional appeal.
  11. Exclusive Benefits: Enjoy a learning experience tailored for success, with clear topic explanations and integrated interview tips within the curriculum.
  12. Real-World Capstone Projects: At the end of the program, dive into four self-paced capstone projects. These not only validate your learning but also provide a tangible showcase of your skills to potential employers.

This program is your gateway to a promising career in Data Engineering, equipping you with both theoretical knowledge and practical skills.

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 seven courses that are collectively worth $3,000 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

Becoming a Rockstar SRE

eBook

420 Pages

Jeremy Proffitt (SRE with AWS Certifications, observability expertise) and Rod Anami (Global SRE leader at Kyndryl, certified in AWS, HashiCorp, Azure, Kubernetes, Node.js contributor)

Linux Crash Course for Beginners – 2023

On-Demand Videos

5 Hours

Imran Afzal (Seasoned systems expert at Time Warner, certified in Linux Systems Management, UNIX, VMWare)

Linux Network Administration

On-Demand Videos

3 Hours

Imran Afzal (Seasoned systems expert at Time Warner, certified in Linux Systems Management, UNIX, VMWare)

Introduction to DevOps

On-Demand Videos

2 hours

Anand Rao Nednur (Cloud consultant for 15+ years, skilled in Azure, AWS, GCP, IAM, security, PowerShell, Python)

Job-Ready SQL in an Afternoon

On-Demand Videos

6 Hours

Maximilian Schallwig (Data engineer with a physics background, specialized in big data tools and infrastructure design)

Complete Python Course with 10 Real-World Projects

On-demand videos

27 Hours

Ardit Sulce (Python programmer and founder of PythonHow, master's in geospatial technologies, experienced in remote sensing and data mining)

DevOps Project - 2023: CI/CD with Jenkins Ansible Kubernetes

On-Demand Videos

6 Hours

A.R. Shankar, top Cloud and DevOps trainer, providing tech education since 2013, benefiting over 100,000 global learners)

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)

Four Self-Paced Capstone Projects

Dive deep into practical applications with four self-paced capstone projects at the end of the program. These projects, designed around real-world scenarios, will allow you to: 

  • Construct a data warehouse tailored for e-commerce, honing skills in data warehousing, integration, modeling, and SQL. 
  • Integrate healthcare patient records, emphasizing the importance of data governance, security, and storage. 
  • Optimize inventory for a retail chain, leveraging data analysis using SQL, data processing, and modeling techniques. 
  • Design a sentiment analysis pipeline for social media, focusing on data orchestration, processing, and storage workflows. 

These capstone projects not only validate your learning but also provide a tangible showcase of your skills to potential employers. 

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

What Learners Are Saying

S
Santiago Lopez Financial Analyst
5

Outstanding learning experience! The Azure data engineering program provides in-depth knowledge and tools necessary to excel in the field. Lots of bonus learning materials that go way beyond the extensive course content. 

Attended Azure Data Engineer Master's Program workshop in June 2023

A
Asha Dixit IT Analyst
5

Highly engaging Azure data engineering program, it made it easy to get certified! The course material is easy to follow, and the labs offer valuable hands-on experience. 

Attended Azure Data Engineer Master's Program workshop in June 2023

P
Pham Linh Software Tester
5

The Azure data engineering course is excellent! Clear explanations and practical projects make learning enjoyable and applicable in real-world scenarios, the progression was very logical.

Attended Azure Data Engineer Master's Program workshop in June 2023

I
Isabella Martinez Data Analyst
5

Fantastic Azure data engineering program! Comprehensive content, hands-on exercises, and great instructors. Highly recommended for aspiring data engineers! 

Attended Azure Data Engineer Master's Program workshop in June 2023

R
Robert Brown Business Analyst
4

Impressive program for Azure data engineering. Covers essential concepts with practical examples, equipping learners with valuable skills for the industry. Loved the assignments and projects. 

Attended Azure Data Engineer Master's Program workshop in June 2023

L
Luca Rossi Key Account Manager
5

Thorough and well-structured Azure data engineering training. It's perfect for beginners as well as for experienced professionals seeking to enhance their cloud data skills. Thank You KnowledgeHut. 

Attended Azure Data Engineer Master's Program workshop in June 2023