
MICRO DEGREE
Microsoft Azure Fabric Data Engineer Certification
Become Certified Microsoft Azure Fabric Data Engineer in 6 weeks
100% LIVE Interactive Classes
Become Certified Microsoft Azure Fabric Data Engineer in 6 weeks

100% LIVE Interactive Classes
Reserve your spot today!
Basic Info
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Application closes on:17 May 2026
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What is in it for you?
100% Live Classes
Instructor-led Live Sessions
Attend 4 weeks of instructor led live classes from the top 1% industry experts
Projects & Case Studies
Projects & Case Studies
Gain hands-on experience with projects and real-world case studies for impactful learning.
Verified Certificate
Verified Certificate
Earn a industry recognized certificate and kick start your career
Session Recordings
Session Recordings
Revisit older chapters anytime with recorded sessions
Flexible Schedule
Flexible Schedule
Choose live classes from different cohorts that fit your availability.
Hands-on Classes
Hands-on Classes
Hands-on classes to enhance your learning experience
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Reserve your spot today!
Basic Info
Select Offers
Application closes on:17 May 2026
Get instant access of pre-course material!
Talk to Us
We’re here to help! Reach us at:
Learn from Top 1%
Sr. Managers, VPs, CXOs, Directors & Founders from companies shaping the future.

Combo Offers
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Available in 4 monthly installments at $80/month
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Curriculum
Duration: 6 weeks
Max Batch Size: 15 persons
Live Sessions Schedule
Sat - Sun (Weekends Only)
Timing 7:00 AM - 9:00 AM / 8:30 AM - 10:30 AM / 11:00 AM - 1:00 PM / 5:00 PM - 7:00 PM / 7:30 PM - 9:30 PM EST
- What is data engineering and data architecture
- Big data challenges and solutions
- Batch vs streaming architectures
- Lakehouse vs data warehouse
- Azure data ecosystem overview
- Microsoft Fabric overview
- Enterprise data platform reference architecture
Mentors

20+ Years, Sr. Technical Leader, Wells Fargo

20+ Years, Ex-Microsoft, Ex-Morgan Stanley
Course Includes

LIVE Interactive Sessions

Quizzes, Assignments & Projects

Study Materials & Session Recordings

Certificate
Course Includes

LIVE Interactive Sessions

Quizzes, Assignments & Projects

Study Materials & Session Recordings

Certificate
Course Pre-requisites
Working knowledge of SQL and relational databases
Basic Python programming skills
Familiarity with cloud computing concepts and the Azure portal
Understanding of fundamental data engineering concepts (ETL, data warehousing)
Outcomes
Design and build scalable data pipelines using Azure Data Factory and Synapse Analytics
Implement data lake and data warehouse architectures using Azure Data Lake Storage and Synapse dedicated SQL pools
Develop ETL/ELT workflows for both batch and real-time data processing on Azure
Build and optimize data transformations using Azure Databricks and Apache Spark
Apply data governance, lineage tracking, and compliance policies using Microsoft Purview
Implement real-time streaming ingestion and analytics using Azure Event Hubs and Spark Structured Streaming
Design end-to-end data solutions using Microsoft Fabric for unified analytics
Optimize data pipeline performance, cost management, and security using Azure RBAC and best practices
Projects You Will Build
Practical, enterprise-grade projects that reflect real industry challenges
Retail Sales Data Lakehouse Platform
Design and implement an end-to-end data platform for a large retail chain. Ingest sales data from multiple sources using Azure Data Factory, build a medallion architecture data lakehouse on Azure Databricks, model a dimensional data warehouse in Synapse Analytics, and deliver interactive dashboards for business stakeholders.
IoT Smart Factory Real-Time Analytics
Build a real-time analytics pipeline to monitor and optimize manufacturing operations. Stream sensor data through Azure Event Hubs, perform real-time transformations using Spark Structured Streaming on Databricks, and create operational dashboards to enable predictive maintenance and anomaly detection.
Enterprise Data Governance and Compliance Framework
Establish a comprehensive data governance framework for a multinational enterprise using Microsoft Purview. Catalog and classify data assets across Azure Data Lake and Synapse, implement data lineage tracking, enforce role-based access controls, and ensure compliance with industry regulations such as GDPR.

for successfully completing the 'Microsoft Azure Fabric Data Engineer Certification' course conducted from 04 Apr 2026 to 16 May 2026
Add a Industry Recognized
Certificate To Your Resume
Industry Recognized
Certificate
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Career Advancements
Elevate your career with a respected certificate

Industry Respect
Gain credibility in the field

Networking
Connect with experts and peers

Opportunities
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for successfully completing the 'Microsoft Azure Fabric Data Engineer Certification' course conducted from 04 Apr 2026 to 16 May 2026

100% Moneyback Guarantee
Top 1% Recruiters - Get interview access to 550+ Companies

Frequently Asked Questions
Everything you need to know about the course
You should have a working knowledge of SQL and relational databases, basic Python programming skills, and some familiarity with cloud computing concepts. Prior experience with Azure is helpful but not mandatory, as the course covers Azure services from a data engineering perspective.
The curriculum covers Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage, Azure Event Hubs, Microsoft Purview, and Microsoft Fabric. You will learn data pipeline design, data lakehouse and warehouse architecture, batch and real-time processing, data governance, security with RBAC, and cost optimization.
This is a 6-week intensive program. You should plan to dedicate approximately 10-15 hours per week, including live interactive classes, self-paced study, and hands-on project work to fully benefit from the curriculum.
You will complete three industry-relevant projects: building a retail sales data lakehouse platform with Data Factory and Databricks, creating a real-time IoT analytics pipeline using Event Hubs and Spark Structured Streaming, and establishing an enterprise data governance framework using Microsoft Purview.
This course prepares you for roles such as Azure Data Engineer, Data Architect, Data Platform Specialist, and Business Intelligence Analyst. The hands-on skills with Azure's modern data stack and real-world projects will make you job-ready and also help prepare you for the Azure Data Engineer certification (DP-203).
You will gain hands-on experience with Azure Data Factory, Azure Databricks (Apache Spark), Azure Synapse Analytics, Azure Data Lake Storage, Azure Event Hubs, Microsoft Purview, and Microsoft Fabric. You will also work with SQL, Python, and Spark SQL throughout the course projects.
The Micro Degree course is an online LIVE course, where LIVE sessions will be conducted online on our Classroom platform. Prior to the start of the course, you'll receive preparatory material in the form of recorded content which can be access on the same platform.
In this course instructors will use English language for teaching.
Upon successful registration, you will receive a confirmation email on your registered email ID. In this email you will receive login details for your newly created account on the Edyoda Classroom platform (https://classroom.edyoda.com). Additionally, you will receive a PDF guide containing step-by-step instructions on how to utilize the platform to access live sessions and learning materials.
Our instructors are the industry experts with a minimum working experience of 10 years with a strong technical and teaching background. They bring industry knowledge and practical expertise to the course.
Yes, the course includes online assignments, quizzes, and a final project to reinforce your learning and assess your proficiency in Microsoft Azure Fabric Data Engineer Certification.
Yes, you can interact with instructors and fellow students through discussion forums, live Q&A sessions. We encourage a supportive learning community.
We offer a 100% money-back guarantee to ensure your complete satisfaction. If you're not satisfied, you can request a full refund within 3 days of purchase or before the second session, whichever comes earlier. Simply contact our support team(support@edyoda.com) with your purchase details, such as the order ID or email address, and share your reason for the refund. Requests made after 3 days or after the second session will not be eligible for a refund. There are no hidden charges, you will receive the full amount paid. Refunds are processed within 7–10 business days and credited back to your original payment method.
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