
MICRO DEGREE
Microsoft Azure Data Architect
Become Certified Microsoft Azure Architect in just 12 weeks
100% LIVE Interactive Classes
Become Certified Microsoft Azure Architect in just 12 weeks

100% LIVE Interactive Classes
Reserve your spot today!
Basic Info
Select Offers
Application closes on:21 Jun 2026
Get instant access of pre-course material!
Talk to Us
We’re here to help! Reach us at:
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
100% Moneyback Guarantee
Grab your slot before the offer expires
Reserve your spot today!
Basic Info
Select Offers
Application closes on:21 Jun 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
Create Your Own Combo
100% Moneyback Guarantee
Available in 4 monthly installments at $193/month
Reserve your spot today!
Curriculum
Duration: 12 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?
- Understanding Big Data Problems
- Overview of Data Architecture (Batch vs Streaming)
- Role of Azure Databricks in Modern Data Platforms
- Visualize a Modern Data Engineering Workflow
- Identify Components: Storage, Compute, Orchestration, Reporting
- Discussion: Traditional vs Cloud-Based Data Systems
Mentors

15+ Years, Data Strategy Director, Ex-Citibank, Ex-JP Morgan.
Course Includes

LIVE Interactive Sessions

Quizzes, Assignments & Projects

Study Materials & Session Recordings

Certificate
Tools Covered
Course Includes

LIVE Interactive Sessions

Quizzes, Assignments & Projects

Study Materials & Session Recordings

Certificate
Course Pre-requisites
Working knowledge of SQL and relational database concepts
Basic understanding of cloud computing principles and services
Familiarity with data modeling concepts (star schema, normalization)
Basic programming experience in Python or a similar language
Outcomes
Design end-to-end data architectures on Microsoft Azure for enterprise-scale data management
Build and orchestrate scalable data pipelines using Azure Data Factory and Azure Synapse Analytics
Implement data lake and data warehouse solutions using Azure Databricks and Delta Lake
Analyse and transform large datasets at scale using Apache Spark on Azure Databricks
Implement data governance, security, and compliance frameworks using Azure Purview
Optimize Azure data solutions for query performance, cost efficiency, and high availability
Architect multi-source data integration and migration strategies from on-premises to Azure
Deliver actionable business insights by integrating Azure data services with Power BI
Projects You Will Build
Practical, enterprise-grade projects that reflect real industry challenges
Retail Sales Analytics Pipeline
Build an end-to-end data pipeline to ingest, transform, and analyze retail sales data from multiple sources. Use Azure Data Factory for orchestration, Azure Databricks with Delta Lake for transformation, and Power BI for delivering dashboards on customer trends, product performance, and sales forecasting.
Enterprise Data Warehouse Modernization
Migrate a legacy on-premises data warehouse to Azure Synapse Analytics by designing a dimensional data model with fact and dimension tables. Optimize query performance using dedicated SQL pools, implement data governance with Azure Purview, and integrate with Power BI for self-service business intelligence.
Real-Time IoT Data Analytics Platform
Implement a real-time analytics solution to process and monitor streaming sensor data from IoT devices. Use Azure Event Hubs for ingestion, Databricks Structured Streaming for real-time transformation, and Azure Data Explorer for anomaly detection and operational KPI visualization.

for successfully completing the 'Microsoft Azure Data Architect' course conducted from 28 Mar 2026 to 20 Jun 2026
Add a Industry Recognized
Certificate To Your Resume
Industry Recognized
Certificate
Learn the best from the best

Career Advancements
Elevate your career with a respected certificate

Industry Respect
Gain credibility in the field

Networking
Connect with experts and peers

Opportunities
Attract exciting job prospects and promotions


for successfully completing the 'Microsoft Azure Data Architect' course conducted from 28 Mar 2026 to 20 Jun 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 working knowledge of SQL and relational databases, basic familiarity with cloud computing concepts, an understanding of data modeling principles, and some programming experience in Python or a similar language. No prior Azure-specific experience is required.
The curriculum covers Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Delta Lake, Azure Blob Storage, Azure Data Explorer, Azure Purview, and Power BI. You will learn data ingestion, transformation, pipeline orchestration, data warehouse design, data lake architecture, real-time analytics, data governance, and performance optimization.
You should plan to dedicate approximately 10-15 hours per week to complete all coursework, hands-on labs, and projects within the 12-week duration. This includes video lectures, reading materials, coding exercises, and capstone project work.
You will complete three industry-relevant projects: building a retail sales analytics pipeline, modernizing an enterprise data warehouse on Azure Synapse, and creating a real-time IoT data analytics platform. Each project involves designing, building, and optimizing end-to-end data solutions using Azure services.
This program prepares you for roles such as Azure Data Engineer, Data Architect, Cloud Data Engineer, and Business Intelligence Analyst. You will gain practical, portfolio-ready project experience and skills aligned with industry demands for designing and managing modern cloud data platforms on Azure.
You will work extensively with Azure Databricks, Azure Data Factory, Azure Synapse Analytics, Delta Lake, Azure Blob Storage, Azure Data Explorer, Azure Purview, Power BI, Apache Spark, and Python. These are the core tools used in production Azure data environments today.
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 Data Architect.
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.
Recommendations


