Focus on Job Readiness
Apply your learnings in realistic environments and master practical data engineering skills, turning theory into job-ready expertise.
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.
..... Read more70 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
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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Apply your learnings in realistic environments and master practical data engineering skills, turning theory into job-ready expertise.
Learn all aspects of Azure services and database concepts and many exercises to master the data engineer role in Azure environments.
Get a chance to acquire four Microsoft Azure certifications that will prove your credential and ability as a Data engineer skilled in using Azure.
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.
Learn from the fundamentals of database concepts and Azure services to form a solid understanding and ability to become a data engineer.
Get trained by leading practitioners who share best practices from their experience across industries through a blend of live training and on-demand videos.
Expand your expertise with complimentary courses collectively worth $3000 that supplement your learning and provide value to your professional development.
Receive comprehensive job assistance, including resume and LinkedIn profile reviews, access to network of hiring partners, and interview prep resources.
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.
Construct a data warehouse for e-commerce and hone skills in data warehousing, integration and more.
Integrate healthcare patient records effectively emphasizing data governance, security, and storage.
Enhance retail efficiency through data analysis techniques leveraging SQL, data processing, and modeling.
Design a Sentiment Analysis Pipeline with a focus on data orchestration, processing, and storage workflows.
Perform container orchestration with AKS to revolutionize multi-tier applications.
Optimize application performance and availability with effective traffic management strategies.
Deploy and manage scalable web apps using Azure App Service and Web App capabilities.
Safeguard virtual machine (VM) data with reliable backup and restore solutions on Azure.
Get started with the Azure Data Engineer Master's Program, covering domain overview, roles, setup, and significance.
Master cloud fundamentals, benefits, challenges, differentiate IaaS, PaaS, SaaS, and grasp key cloud terminologies.
Learn Azure architecture, resources, tools, gain hands-on experience, understand security for a solid cloud foundation.
Master Linux basics like command navigation, file management, permissions, processes, and networking fundamentals.
Understand relational databases, its concepts, architecture, design principles, data modeling, and hands-on SQL experience.
Learn Azure data concepts, relational/non-relational workloads, and familiarize with Azure data services.
Master SQL, analyze data, write complex queries, grasp normalization, and optimization principles.
Gain expertise in data warehousing by grasping concepts, architecture, and ETL principles, with hands-on experience.
Learn Azure data fundamentals, covering relational and non-relational workloads, Azure services, and hands-on experience.
Unlock new career opportunities, enhance your marketability, and accelerate your path to success.
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.
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
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.
Course Highlights:
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.
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.
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.
Course Highlights:
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.
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.
Course Highlights:
Learning Objectives:
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.
Course Highlights:
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.
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.
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.
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.
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.
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.
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.
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.
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:
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:
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:
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.
Yes, the program is based on Azure certifications. These are as follows:
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
DP-900: Microsoft Azure Data Fundamentals
AZ-104: Microsoft Azure Administrator
DP-203: Data Engineering on Microsoft Azure
Here is an overview of the four Azure certification exam formats:
1) AZ-900: Microsoft Azure Fundamentals
2) DP-900: Microsoft Azure Data Fundamentals
3) AZ-104: Microsoft Azure Administrator
4) DP-203: Data Engineering on Microsoft Azure
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:
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:
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
DP 900 (Microsoft Azure Data Fundamentals)
DP-203: Data Engineering on Microsoft Azure
AZ900 - Microsoft Azure Fundamentals
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:
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
DP 900 (Microsoft Azure Data Fundamentals)
DP-203: Data Engineering on Microsoft Azure
AZ900 - Microsoft Azure Fundamentals