Azure Data Engineer with Gen AI & AI Agents
Accelerated 2-month track combining Azure Data Factory & Databricks pipelines with Azure OpenAI, RAG architectures, and autonomous AI agents.
Course Overview
Designed for developers and data professionals with baseline pipeline knowledge, this accelerated 2-month program focuses on connecting enterprise Azure data platforms with Generative AI capabilities. You will learn to build Retrieval-Augmented Generation (RAG) pipelines, index data into vector databases, and deploy AI agents.
Quick Facts
Who Should Join
Target Audience
- Data Engineers adding Generative AI and LLM pipelines to their skillset
- Software Engineers looking to build AI-powered enterprise applications
- Tech professionals with existing SQL/Python knowledge seeking fast-track GenAI skills
Expected Baseline Knowledge
- Prior experience with SQL or Python programming
- Familiarity with basic data pipeline concepts
- Azure account setup readiness for OpenAI service access
What You Will Learn
Curriculum Modules
3 ModulesEach module combines theoretical concepts, practical coding exercises, and milestone assessments.
Hands-on Student Projects
Clearly structured practice exercises and end-to-end simulated capstone projects.
Practice Project: PDF Document Vector Search Pipeline
Problem Addressed: Company policy documents are trapped in un-searchable static PDF files.
A Python script parsing PDFs, generating OpenAI embeddings, and building a vector search index.
- Vector search Python script
- Sample query benchmark log
Simulated Business Project: Enterprise Knowledge Base RAG Assistant
Problem Addressed: An enterprise support team needs a secure internal AI agent that reads technical documentation and answers customer questions with exact page citations.
A complete RAG AI assistant with web UI, Azure OpenAI integration, strict zero-data-retention guardrails, and automated citation logging.
- Full application code repository
- Guardrail evaluation report
- Live demonstration
Class Experience & Learning Environment
Live Sessions
Live interactive classes with hands-on GenAI prompt engineering and Python coding.
Recordings & Access
All session recordings provided with lifetime access.
Assignments & Work
Weekly GenAI lab challenges and prompt evaluation tasks.
Doubt & Support
Direct mentor access via private Slack workspace.
Lead Industry Trainer
Dr. Rajesh Kumar
AI Architect & Lead GenAI Researcher
10+ Years in AI/ML & Cloud Systems Architecture
Schedule & Transparent Fees
Starting 15th of Next Month
Weekend Batch: Sat & Sun 2:00 PM - 5:00 PM
Competitive fee with 2-installment payment structure available
Full refund available prior to 2nd live class.
360° Career Assistance Scope
Substantiated referral assistance and technical preparation without misleading promises.
Resume optimization highlighting GenAI, RAG, and Azure OpenAI project capabilities.
2 GenAI technical mock interviews focusing on RAG architecture and LLM guardrails.
Curated repository of GenAI interview questions and system design scenarios.
Referrals to hiring partners looking for GenAI & Data Engineers.
Support Duration: 6 Months career support post-completion.
- Complete all GenAI labs
- Build and present Capstone RAG project
- Pass mock interview review