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Azure Data Engineer Master's Program

Launch a High-Paying Thriving Career in Data Engineering with the Azure Data Engineer Master's Program
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Course 1
Getting Started with Azure Data Engineer Master's Program
Course 2
Fundamental Concepts of Cloud
Course 3
Microsoft Azure Fundamentals (AZ 900)
Course 4
Linux Fundamentals
View 6 more courses
Course 11
Complimentary Courses Worth US$ 3000
Master's Certificate
*Distinct certificates awarded for each course.
THE SECRET SAUCE
X-Factors That Set Us Apart
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End-to-End Curriculum

From fundamentals to advanced, master Cloud, Data, and Linux in one holistic program.

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Certification Edge

Ace 4 industry certs (AZ-900, DP-900, AZ-104, DP-203) with expert-led video instructions.

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Expert-Led Content

Dive into 60+ hours of top-tier self-paced content from industry-renowned experts.

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Hands-On Experience

70+ hours of live training, complemented by guided lab demos, exercises, and real-world projects.

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Quantifiable Learning

Mock exams, assignments, and capstone projects ensure comprehensive testing and refinement.

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Comprehensive Job Support

LinkedIn profile reviews, resume assistance, AI-resume builder and access to 1,500+ job listings.

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Lifetime Access & Flexibility

Never miss a beat with lifetime access to course materials and recorded live sessions.

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Complimentary Courses

Unlock additional value with 8 bonus courses worth $3000, broadening your learning horizon.

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Practical Set-Up Guidance

Step-by-step guide to create a FREE Trial Microsoft AZURE Cloud account, ensuring you're industry-ready.

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Exclusive Benefits

From clear explanations to interview tips, enjoy a learning experience tailored for success.

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Real-World Projects

Dive deep into practical applications with four self-paced capstone projects at the end of the program.

AZURE DATA ENGINEER MASTER'S PROGRAM HIGHLIGHTS

Azure Data Engineering Master's Program

70 Hours of Engaging Live Instructor-Led Training

60 Hours of Expert-Led On-Demand Videos

16 Guided Assignments and 16 Azure Certification Mock Exams

16 Capstone Projects Rooted in Real-World Scenarios

8 Complimentary Courses Worth $3,000

Comprehensive Job Support including AI-Resume Builder

2,360 Assessment Questions and 350 Recall Quizzes

49 Guided Hands-On Exercises and 53 Activity Guides

56 Hands-On Browser-Based Labs

Kickstart your data engineering career with the Azure Data Engineer Master’s Program, designed to build skills you need to excel in the field of data engineering. Whether you're new to Azure or looking to advance, this program offers a 360-degree learning experience guided by industry leaders. 

Why Choose the Azure Data Engineer Master’s Program? 

The Azure Data Engineer Master’s Program focuses on developing cloud and data engineering skills through live, instructor-led sessions and on-demand content. With 32 hours of interactive live training and 16+ hours of expert-led self-paced learning, this program aligns with the latest Azure Data Engineering practices and industry needs. You’ll master data transformation, storage solutions, and data security, preparing you for high-demand roles in cloud and data environments. 

Everything You Need to Know About the Azure Data Engineer Master’s Program 

This industry-recognized certification is ideal for professionals who want to deepen their Azure expertise and lead data-driven projects. This globally valued program validates your understanding of Azure data engineering, empowering you to design, build, and maintain secure, scalable, and efficient data solutions. It opens doors to competitive roles with companies that rely on data insights to drive decisions, providing an edge in today’s job market. 

Achieving the Azure Data Engineer Masters Certification demonstrates your proficiency in handling complex data solutions, making you a highly sought-after candidate. The certification also serves as a steppingstone to advanced credentials, such as the Microsoft Certified Azure Solutions Architect Expert, boosting your career growth and increasing your value to employers. 

Key Features of the Azure Data Engineer Master’s Program 

Gain access to invaluable resources, job support, and mentorship that enhance your learning experience and pave the way for a successful data engineering career. Here’s what makes this course stand out: 

  • 70 Hours of Live Instructor-Led Sessions: Interactive sessions led by Azure experts guide you through real-world data engineering tasks, helping you master cloud technologies and Azure tools. 
  • 60 Hours of On-Demand Learning: A comprehensive library of self-paced content allows flexible learning, reinforcing your understanding of data engineering concepts on Azure. 
  • 16 Guided Assignments and 16 Azure Certification Mock Exams: Hone your skills with structured assignments and simulate real exam conditions to boost your confidence. 
  • 16 Capstone Projects Rooted in Real-World Scenarios: Apply your knowledge to solve practical challenges, mirroring the demands of actual workplace situations. 
  • 8 Complimentary Courses Worth $3,000: Expand your expertise with access to additional valuable courses, included at no extra cost. 
  • Comprehensive Job Support including AI-Resume Builder: Stand out in the competitive job market with tailored resume assistance and dedicated career services. 
  • 2,360 Assessment Questions and 350 Recall Quizzes: Reinforce your learning with extensive practice material to ensure mastery of core concepts. 
  • Comprehensive Job Support with AI-Driven Resume Builder: Access AI-powered tools and career resources to enhance your job prospects and maximize employability in data engineering roles. 

Skills Covered in the Azure Data Engineer Master’s Program 

The Azure Data Engineer Master’s Program provides essential training for professionals looking to advance in data engineering and cloud solutions. This program is ideal for those aiming to manage Azure data platforms effectively and apply their skills within dynamic teams. Key skills covered include: 

  • Data Transformation and Storage Solutions: Gain expertise in transforming, loading, and storing data within the Azure ecosystem, ensuring scalability and security. 
  • Data Architecture and Design: Master data architecture concepts, learning how to design and implement secure and efficient data solutions on Azure. 
  • Data Integration and Migration: Learn to integrate and migrate data effectively within Azure environments, ensuring minimal disruption and high-quality data management. 
  • Data Security and Compliance: Understand best practices for securing data and meeting compliance requirements, preparing you to manage sensitive information responsibly. 
  • Performance Optimization: Develop skills to optimize Azure data solutions for performance and cost-effectiveness, aligning with organizational needs. 
  • Monitoring and Troubleshooting: Learn to monitor Azure data environments, troubleshoot issues, and maintain optimal system performance for data engineering projects. 
  • Data Visualization and Analytics: Acquire skills to create data visualizations and perform analytics on Azure, enhancing data-driven decision-making capabilities. 

Whether you're starting from scratch or aiming to elevate your existing expertise, this dynamic learning path is your gateway to success. You have the flexibility to choose whether to enroll in this program with the included exam vouchers or opt for separate payments for the exams.

Our goal is to equip you with the knowledge, skills, and certifications necessary to thrive as a Data Engineer in the Azure ecosystem. Join the Azure Data Engineer Master's program and kickstart your Data Engineering career today.

AZURE DATA ENGINEER MASTER'S PROGRAM FEE

Tuition Fee
What's included?
Benefit from 70 hours of live instructor-led training
Access 60 hours of expert-led on-demand videos
16 Azure certification mock exams
Build 16 Real-World Capstone Projects
8 Complimentary Courses Worth $3,000
Master concepts with 2,360 assessment questions
Reinforce learning with 49 guided hands-on exercises
Gain practical experience with 56 browser-based labs
Test your knowledge with 350 recall quiz questions
Navigate your learning journey with 53 activity guides

Comprehensive Job Support:

  • LinkedIn Profile Review
  • AI-Resume Builder
  • Access to 1,500+ Job Listings
17% OFF
$2,999
$2,499
Tools You Will Master
Gear up for a highly rewarding career with our Azure Data Engineer Master's program, offering lucrative prospects, career advancement, and hands-on experience with a wide array of tools and technologies.

Demand for Azure Certified Professionals

Soaring Demand for Azure Data Engineers
Average Salary
Min
Average
Max
Hiring Companies
Bank
Eurofinns
Cocacola
FedEx
Stanndard chartered
Sapient
Demand
21%
Robust job growth projected between 2023 and 2028

Certified professionals with an Azure Data Engineer Master’s Program credential are highly valued across industries. The program’s rigorous training prepares you to manage data pipelines, ensure data quality, and implement scalable solutions. Let’s look at the trends below:  

  • Market share held by Microsoft Azure in the global cloud services market as of 2024: 22% 
  • Year-over-year revenue growth for Microsoft Azure in the first quarter of 2024: 29% 
  • Projected growth rate for data-related professions in the United States by 2028: 12% 
  • Average annual salary for Azure Data Engineers in the United States: ~$128,464 
  • Potential salary increases for professionals with Microsoft Azure certifications: Up to 20% 

Top Job Profiles and Salaries with Azure Data Engineer Master's Certification

As organizations increasingly rely on cloud-based data solutions, the demand for skilled Azure Data Engineers continues to grow. This program equips you with the expertise to manage complex data pipelines, ensure data quality, and implement scalable solutions on the Microsoft Azure platform.

Here are some of the key roles that become accessible with an Azure Data Engineer Master's Program certification:

1) Data Engineer 

Data engineer design, build, and maintain scalable data pipelines, ensuring smooth data flow for analysis and reporting. You will manage large-scale data environments and support various analytical processes.  

  • Salary Range: $90K to $130K, depending on experience. 
  • Top Companies Hiring: Google, Amazon, Microsoft, IBM. 

2) Senior Data Engineer 

Senior Data Engineers lead teams in the design and implementation of data architectures, focusing on high-performance data solutions. You’ll be responsible for driving data strategies and optimizing data processing pipelines.  

  • Salary Range: $120K to $160K. 
  • Top Companies Hiring: Facebook, Twitter, Uber, LinkedIn. 

3) Chief Data Officer (CDO) 

As a CDO, you lead the overall data strategy for the organization, overseeing data governance, analytics, and business intelligence. A strategic leader in shaping data-driven decisions across the company, a CDO with data engineering expertise can command a premium.  

  • Salary Range: $200K to $300K. 
  • Top Companies Hiring: Deloitte, Accenture, PwC, EY. 

Benefits of the Azure Data Engineer Master’s Program 

The Azure Data Engineer Masters Certification is a widely recognized credential, especially for professionals involved in data transformation and cloud computing. Here are the key benefits: 

  • Globally Recognized Credential 
    Recognized by companies worldwide, this certification validates your expertise in Azure data engineering, opening doors to international opportunities. 
  • Enhanced Employability 
    Stand out for roles in organizations that rely on Azure for data management. The program equips you with critical skills to make an impact even in hybrid environments. 
  • Higher Earning Potential 
    Certified Azure professionals often command higher salaries, with data engineering among the most lucrative paths in tech. 
  • Professional Credibility 
    This certification demonstrates your commitment to excellence in data engineering, making you a credible professional in the industry. 
  • Hands-On Experience with Azure 
    Through practical labs and case studies, gain hands-on experience that builds your confidence to handle real-world data engineering challenges. 

WHY KNOWLEDGEHUT for Azure Data Engineering Master's

Get the KnowledgeHut Advantage
Dive into a seamless immersive learning experience, with you at the centre.
  • Expert-Led Training
  • On-Demand Learning Videos
  • Peer Learning and Recall Quizzes
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AZURE DATA ENGINEERING MASTER'S PROJECTS

Impress Recruiters with a Stellar Project Portfolio
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Azure Kubernetes

AZ-104: Capstone Project 1
Implement Azure Kubernetes (AKS) for deployment and management of containerized applications.
Azure Kubernetes Service (AKS)
Azure Synapse
Azure Cosmos DB SQL API
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Traffic Management

AZ-104: Capstone Project 2
Optimize the distribution of network traffic across various endpoints to enhance reliability and scalability.
Azure SQL Database
Azure Cosmos DB
Azure Database for MySQL
Azure Database for PostgreSQL
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Azure App Service

AZ-104: Capstone Project 3
Implement Azure App Service and Web App to deploy and manage web apps on Azure.
Azure Virtual Machines (VMs)
Azure Services Administration
Identity and Access Management (IAM)
Azure Virtual Networking
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Backup & Restore

AZ-104: Capstone Project 4
Enable Backup and Restore functionality for VMs to ensure data integrity and rapid recovery.
Identity and Access Management (IAM)
Azure Virtual Networking
Azure Services Administration
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Integrated Analytics

DP 900: Capstone Project 1
Leverage Azure Synapse for integrated analytics, seamless data processing and insights.
Azure Portal
Core Data Components
Azure Analytics Services
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Schema, Tables in RDB

DP 900: Capstone Project 2
Design robust schemas and tables for efficient data organization and retrieval within relational databases.
SQL (Structured Query Language)
Relational Database
Database Modeling
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Hotel Booking Data

DP 900: Capstone Project 3
Create tailored database solution for analyzing and visualizing hotel booking data.
Azure Portal
Core Data Components
Azure Analytics
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Azure Cosmos SQL API

DP 900: Capstone Project 4
Optimize throughput settings for Azure Cosmos DB SQL API to ensure optimal performance and scalability.
Azure Portal
Core Data Components
Azure Analytics
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Services Performance

DP-203: Capstone Project 1
Build and analyze Azure Services Performance Dashboard using Azure Synapse.
Azure Cloud Services
Non-Relational and Relational Data Stores
Batch Processing and Streaming Analytics
Azure Data Solution Optimization
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Data Transformation

DP-203: Capstone Project 2
Orchestrate data movement, transformation workflows with Azure Synapse Pipelines.
Azure Cloud Services
Non-Relational and Relational Data Stores
Batch Processing and Streaming Analytics
Azure Data Solution Optimization
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Data Copy, Exploration, and Transformation

DP-203: Capstone Project 3
Utilize Azure Databricks for efficient data copying, exploration, and transformation and gaining insights.
Azure Cloud Services
Non-Relational and Relational Data Stores
Batch Processing and Streaming Analytics
Azure Data Solution Optimization
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End-to-End Security for Azure Synapse

DP-203: Capstone Project 4
Implement comprehensive security measures across Azure Synapse Analytics.
Data Warehouse
Data Integration
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Accessing VM's from Azure Jump Server 

AZ900: Capstone Project 1
Access Virtual Machines from Azure Jump Server to streamline management and access control.
Azure Virtual Networking
Identity and Access Management (IAM)
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Enabling Peering between Two Regions

AZ900: Capstone Project 2
Enable peering connections between two regions for seamless data transfer and resource access.
SQL Database Admin Commands
Advanced SQL Data Analysis
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Working with Load Balancer 

AZ900: Capstone Project 3
Configure Load Balancer to optimize traffic distribution and enhance application reliability and scalability.
Data Warehouse
Data Integration
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Working with Network Security Gateway

AZ900: Capstone Project 4
Manage Network Security Gateway (NSG) to enforce network security policies.
Azure Services Administration
Identity and Access Management (IAM)

OUR SUPPORT SYSTEM

Meet the Team That Is Invested in Your Success
instructor

Eshant Garg

Cloud Architect

Eshant Garg is a seasoned professional with a passion for simplifying complex concepts and making them easily understandable. With over 16 years of extensive experience in the IT industry, he has honed his expertise in Database and Business Intelligence Solutions, Advanced Analytics, Design and Solution Architecture, Reporting, and Cloud Computing Technologies, including Azure and AWS.

Throughout his career, Eshant has played the roles of a developer and architect, collaborating closely with clients, end-users, and colleagues to deliver effective business solutions. His diverse experience spans various sectors, including healthcare, insurance, finance, and government, encompassing businesses of all sizes, from small startups to Fortune 500 companies.

Beyond the realm of technology, Eshant has a deep passion for yoga and meditation. He is a devoted student of the ancient yogic text, the Bhagavad Gita, and enjoys engaging in discussions and practical applications of philosophical teachings. His commitment to both the technical and spiritual worlds makes him a well-rounded professional with a unique perspective on problem-solving and personal growth.

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Experience: 10+ Years
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Andn

Anand Rao Nednur

Cloud and Security Enthusiast

Introducing Anand Rao Nednur, an accomplished IT professional with a remarkable career spanning more than two decades. Anand is a specialist in Active Directory and brings a wealth of expertise to the table. His journey in the world of IT has led him to become a seasoned cloud computing expert, with a dedicated focus on this field since 2012.

Anand's commitment to excellence is underscored by his impressive collection of certifications, encompassing both vendor-specific and vendor-neutral credentials in cloud computing and cybersecurity. This extensive knowledge and certification background establish Anand as a trusted advisor for organizations seeking to navigate the intricate landscape of cloud computing. His insights and guidance are invaluable to businesses aiming to successfully transition to the cloud and harness its full potential.

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Experience: 20 Years
LinkedIn
Scott Duffy

Scott Duffy

Chief Trainer

Avery Smith is a distinguished data scientist with a rich background in applying data science techniques to resolve complex business challenges. His career includes significant experience at ExxonMobil, a multinational oil corporation, where he adeptly tackled supply chain and logistic issues using advanced data science methods.

Following his tenure at ExxonMobil, Avery ventured into entrepreneurship, founding his own analytics consultancy. Through his firm, he assists notable companies such as Harley Davidson, SaaSAlerts, and AspenTech, providing expert guidance and solutions for their diverse business problems using data analytics.

Avery's expertise isn't limited to traditional industries. He has also contributed to the biotech sector, specifically at a growing startup named Vaporsens. Here, he developed innovative machine learning models capable of detecting narcotics and explosives at airports, showcasing his versatility and skill in applying data science to critical security applications.

His passion extends beyond professional consultancy; Avery is dedicated to nurturing the next generation of data science professionals. He focuses on helping those aspiring to break into the field of data science, sharing his knowledge, experience, and insights to guide and inspire future talent in this dynamic and evolving industry.

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Experience: 20 Years
LinkedIn
Dustin

Dustin Brimberry

Trainer and Speaker

M. Dustin Brimberry, a seasoned leader and strategist, is your guide in the live instructor-led training sessions. His engaging teaching style and deep industry knowledge make complex concepts accessible and enjoyable. Dustin's interactive sessions are not just about learning; they're about experiencing and applying cloud architecture in real-time, setting you up for success in your career.

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Experience: 30 Years
LinkedIn
Chai

Chaitanya (R) Gaajula

AWS Data Engineering

With 20 years in IT, Chaitanya (R) Gaajula's expertise as a Technical Trainer and Mentor shines through in our live training sessions. His ability to simplify intricate topics and his focus on practical application make learning both effective and inspiring. Chaitanya's mentorship is more than just instruction; it's a transformational journey that equips you with the confidence and skills to excel as an AWS Cloud Architect.

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Experience: 10 Years
LinkedIn
Varadarajan

Varadharajan Damotharan

Senior Site Reliability & Platform Automation Engineering

Varadharajan Damotharan is an accomplished IT professional with eight years of extensive experience in the IT software industry. He has a proven track record of providing strong technical leadership across a spectrum of projects, both offshore and onshore. Varadharajan excels in developing new applications and troubleshooting issues within existing systems.

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Experience: 7 Years
LinkedIn
Avery Smith

Avery Smith

Data Scientist

Avery Smith is a dynamic Data Scientist and Educator with a passion for empowering professionals to break into the data science field. Since August 2021, Avery has been at the helm of Data Career Jumpstart, an innovative online school based in Utah, United States, designed to teach data science through practical projects and personal branding. Alongside, Avery has contributed as a Senior Technical Trainer at Simplilearn and a Data Engineer at MIT Professional Education, enhancing his reputation in the data science community. His work at ExxonMobil and Vaporsens showcases his ability to apply machine learning and data analytics to solve real-world problems, driving significant business outcomes. Avery's commitment to sharing knowledge is further evident in his role as a Podcast Host, where he discusses trends and insights in data science, solidifying his position as a thought leader in the field.

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Experience: 10 Years
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AZURE DATA ENGINEER MASTER'S REVIEWS

Our Learners Love Us

Invaluable Course!

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. 

Asha Dixit
Asha Dixit
IT Analyst
LinkedIn

Fantastic Course!

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

Isabella Martinez
Isabella Martinez
Data Analyst
LinkedIn

Great Experience!

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. 

Santiago Lopez
Santiago Lopez
Financial Analyst
LinkedIn

Well Structured

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. 

Luca Rossi
Luca Rossi
Key Account Manager
LinkedIn

Worth Every Penny!

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. 

Robert Brown
Robert Brown
Business Analyst
LinkedIn
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4.8/5
6,028 Reviews
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4.7/5
957 Reviews
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4.93/5
228 Reviews

About the Azure Data Engineer Certification

1. What industry-recognized certifications are included in this program?

The Azure Data Engineering Masters program equips you with the skills needed to obtain industry-recognized certifications like:

  • AZ-900: Microsoft Azure Fundamentals
  • DP-900: Microsoft Azure Data Fundamentals
  • AZ-104: Microsoft Azure Administrator
  • DP-203: Data Engineering on Microsoft Azure

Achieve the esteemed Azure Data Engineer certification, demonstrating your proficiency in designing and implementing data solutions on the Azure platform that are scalable, resilient, and high-performing.

2. What are the prerequisites for this Azure Data Engineer Masters Program?

There are no specific prerequisites for this course. The Master's program is beneficial for anyone interested in pursuing a career in Azure Data Engineering and related roles.


3. Can individuals with non-business or non-technical backgrounds apply for this program?

Absolutely, individuals without a business or technical background are welcome to apply for an Azure Data Engineering Masters Program. Although a background in business or technology can be advantageous, these programs are typically tailored to accommodate a wide range of educational and professional experiences.

The program's curriculum typically encompasses fundamental principles and offers extensive training to cultivate the essential skills in data engineering on the Azure platform. As long as applicants exhibit motivation and a commitment to learning, they can harness the program to make a career shift into the field of Azure data engineering, irrespective of their prior educational or professional background.

4. What is the duration of the Azure Data Engineer certification exams?

The duration of Azure Data Engineering certification exams varies based on the specific certification:

  1. Azure Fundamentals (AZ-900): The Azure Fundamentals exam, coded as AZ-900, typically has a duration of 85 minutes.
  2. Azure Data Fundamentals (DP-900): The Azure Data Fundamentals exam, coded as DP-900, is also scheduled for 85 minutes.
  3. Azure Administrator (AZ-104): The Azure Administrator exam, coded as AZ-104, is longer with an exam duration of 180 minutes.
  4. Data Engineering on Microsoft Azure (DP-203): The Data Engineering on Microsoft Azure exam, coded as DP-203, also extends to 180 minutes.

In our program, learners have the flexibility to choose their specialization, either as an Azure Administrator (AZ-104) or an Azure Data Engineer (DP-203), aligning with their career aspirations and goals within the Azure ecosystem.

AZURE DATA ENGINEER MASTER'S CURRICULUM

Your Path to Azure Data Engineer Mastery
Course 1
Getting Started with Azure Data Engineer Master's Program
Course Curriculum
Course 2
Fundamental Concepts of Cloud
Course Curriculum
Course 3
Microsoft Azure Fundamentals (AZ 900)
Course Curriculum
Course 4
Linux Fundamentals
Course Curriculum
View 7 more courses

Master's Program Certificate

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AZURE DATA ENGINEER MASTER'S CERTIFICATION

Get Ahead with KnowledgeHut’s Master's Certificate
Career Advancement
Open doors to higher-paying positions and career growth in cloud engineering.
Hands-On Experience
Master real-world AWS applications, setting you apart as a cloud expert.
Global Alumni Network
Forge lasting connections with a global network of experts and experienced peers.
Azure Data Engineer Master's Certificate

Frequently Asked Questions

1. What is the Master's Program in Azure Data Engineering all about?

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. You will gain access to 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.

2. Is this Data Engineering Master’s Program worth it?

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 understanding 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 $3,000. These courses will let you learn SQL, Python, Apache Spark, etc., that will significantly increase the scope of what you could do as a Data Engineer.

3. What are the complimentary courses that are available with this program?

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)

4. What are the benefits of this Azure Data Engineering Master’s Program?

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 refresh and test 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.

5. How does this program incorporate the latest industry trends and emerging technologies?

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

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