Data Engineering · Beginner

Azure Data Engineering + GenAI

From foundations to production-style pipelines, with an e-commerce data platform and a RAG-based AI assistant.

  • ADF
  • Databricks
  • Synapse
  • Microsoft Fabric
  • Delta Lake
  • Streaming
  • Azure OpenAI
  • RAG
Enquire About This Course

About this course

Learn Azure data engineering from the basics through to a real-time project and a RAG-based AI assistant, covering the path into Azure Data Engineer, Data Platform Engineer, Analytics Engineer and AI Data Engineer roles.

Who this is for

  • Freshers and recent CS, IT, MCA or B.Tech graduates
  • SQL and ETL developers moving to cloud pipelines
  • Python developers and data analysts
  • Software and backend engineers moving into data engineering
  • BI and reporting professionals upskilling to lakehouse and Fabric

What you will be able to do

  • Build batch and streaming pipelines with medallion architecture
  • Work across ADF, Databricks, Synapse and Microsoft Fabric
  • Build a RAG-based AI assistant with Azure OpenAI and vector search
  • Complete an end-to-end e-commerce data platform project

Prerequisites: Basic SQL, some programming exposure (Python preferred), and a laptop with internet. No Azure experience needed.

Learning roadmap

8
Learning units
33
Topics covered
2
Projects
10
Tools

  1. Stage 1

    Foundations

    • SQL refresh
    • Python basics
    • Azure account setup
    • Core concepts

  2. Stage 2

    Azure Core Services

    • ADLS Gen2
    • ADF pipelines
    • Data ingestion patterns
    • Delta Lake introduction

  3. Stage 3

    Databricks and Spark

    • PySpark
    • Batch processing
    • Delta Live Tables
    • Medallion architecture

  4. Stage 4

    Streaming and Synapse

    • Event Hubs
    • Structured Streaming
    • Synapse Analytics
    • SQL pools

  5. Stage 5

    Microsoft Fabric

    • OneLake
    • Lakehouse
    • Data pipelines
    • Power BI integration

  6. Stage 6

    GenAI and RAG Project

    • Azure OpenAI
    • Embeddings
    • Vector search
    • AI assistant build

  7. Stage 7

    Real-Time Project

    • E-commerce platform
    • End-to-end build
    • Optimization
    • Deployment

  8. Stage 8

    Career Preparation

    • Resume
    • Mock interviews
    • LinkedIn
    • Job applications
    • Portfolio

Keep the full curriculum with you

Verify your email and download this course as a PDF.

Projects you will build

E-commerce Data Platform

Orders, products and users data moving through Bronze, Silver and Gold layers, with batch and streaming.

  • Bronze: raw ingestion through ADF
  • Silver: cleansed in Databricks
  • Gold: business KPIs and reporting
  • Optimization and scaling

RAG + GenAI: AI Assistant for Data Engineers

Powered by Azure OpenAI and RAG.

  • Retrieval from pipeline logs and documentation
  • Semantic search with Azure AI Search and embeddings
  • Natural language answers
  • AI-assisted pipeline debugging and root cause analysis

These are training projects. Please describe them honestly as training work on your resume and in interviews.

Tools and technologies

  • Azure Data Factory
  • Azure Databricks
  • Azure Synapse
  • Microsoft Fabric
  • ADLS Gen2
  • Delta Lake
  • Azure OpenAI
  • Python
  • VS Code
  • Git

Career support

  • Resume tailored to Azure data engineering roles
  • Mock interviews
  • LinkedIn and portfolio support
  • Mentorship and career guidance

MYP does not guarantee a job or interviews.

Need More Information? Connect with Our Course Expert.

Ask about the course, fees, duration or which path suits your background.

Connect with an Expert

₹40,000

Book Consultation