GR-GENAI-90 · AI & Data

Generative AI & Azure AI Engineering

90 days of production Generative AI engineering on Microsoft Azure.

A 90-day industry curriculum on the Azure-native stack covering the full enterprise LLM architecture: Power Automate/client → APIM Gateway → Azure Function App → Azure OpenAI & RAG. You master prompt engineering, Azure OpenAI APIs, embeddings and vector search, Document Intelligence, agentic patterns with function calling, LLMOps with evaluation and A/B testing — then ship 6 live capstones across Banking & Finance and Supply Chain domains.

Duration
90 days (13 weeks)
Hours
6 hrs/day (fresher track)
Mode
Dual-pace · Azure-native labs
Batch Size
15–20 students
Talk to a Counsellor

Who this is for

  • Freshers who complete an included 3-day Python & API bootcamp before Week 1.
  • Experienced engineers who fast-track Phase 1 foundations and join Week 3 directly.
  • Developers targeting AI-102 (Azure AI Engineer Associate) certification.
  • Teams building enterprise RAG and LLM solutions in regulated domains.

Prerequisites

  • Python programming fundamentals — the 3-day bootcamp covers the rest for freshers.
  • Basic understanding of REST APIs and JSON.
  • Analytical aptitude and comfort with cloud consoles.

Primary career path

Azure AI Engineer · Generative AI Specialist · LLM Solutions Architect

Outcome

Enterprise Azure Generative AI Engineer — AI-102 & AZ-900 ready — able to design, secure, deploy, and operate production LLM applications: RAG pipelines with citation grounding, APIM-secured Function App orchestrators, and LLMOps pipelines with automated evaluation.

Key Takeaways

What you'll walk away with

1

Engineer production prompts — zero-shot, few-shot, chain-of-thought, JSON schema outputs, and prompt-injection defense.

2

Build RAG pipelines with Azure AI Search — chunking strategies, hybrid keyword + vector search, and semantic re-ranking with citation grounding.

3

Architect the enterprise AI stack: APIM AI Gateway → stateless Azure Functions orchestrator → Azure OpenAI via Managed Identity.

4

Extract and sanitize documents with Azure Document Intelligence and Microsoft Presidio PII anonymisation.

5

Operate LLMOps — prompt versioning, A/B testing, Application Insights observability, and Azure DevOps CI/CD.

Tooling Ecosystem

The tools you'll master

DomainTools
LLMs & Prompting
Azure OpenAI (GPT-4)tiktokenLangChainJSON schema outputs
RAG & Search
Azure AI SearchEmbeddingsHybrid BM25 + vectorSemantic re-ranking
Documents & Safety
Azure Document IntelligenceMS PresidioAzure Content Safety
Orchestration
Azure Functions v2 (Python)Cosmos DBApp ConfigurationPower Automate
Gateway & Security
Azure APIMJWT validationEntra IDKey VaultManaged Identity
Evaluation & LLMOps
Azure AI Evaluation SDKApplication InsightsAzure DevOps YAML
Production Artifacts

Real things you'll ship

Fraud Investigation Assistant (Banking)

RAG over case history and policy docs via Azure AI Search, Function App orchestrator behind APIM gateway security, GPT-4 analytical synthesis, and Dynamics 365 integration.

Supplier Contract Analyser (Supply Chain)

Document Intelligence clause extraction from vendor MSAs, Presidio PII and pricing scrubbing, compliance-check RAG pipeline, and Power Automate trigger with structured JSON to ERP.

Regulatory Policy Q&A Bot (Banking)

Grounded Q&A over PDF policy documents with strict citation grounding and zero-hallucination compliance — plus a KYC Document Processor with automated PII scrubbing and audit logs.

Certifications

What you'll earn

AI-102: Microsoft Certified Azure AI Engineer Associate

The core credential for the track — curriculum maps directly to AI-102 objectives.

AZ-900: Microsoft Azure Fundamentals

Integrated evening preparation through the program for cloud fundamentals fluency.

AZ-204: Azure Developer Associate (optional)

Recommended for learners who want to deepen the Azure Functions and DevOps side.

Detailed Curriculum

3-Phase Curriculum · 90 days (13 weeks)

The full curriculum — every phase, every module, every project, every reading — is in the downloadable PDF. We keep it out of the web page so it stays in sync with the live cohorts.

Talk to a Counsellor
Phase 1 — LLM Foundations
Prompting, APIs & RAG (Days 1–30)
Phase 2 — Azure AI & Agentic Patterns
AI Foundry, APIM Gateway & Functions (Days 31–60)
Phase 3 — Capstones & LLMOps
Banking & Supply Chain Sprints (Days 61–90)
FAQs

Questions, answered

Ready to start the Generative AI & Azure AI Engineering?

Download the full curriculum, then book a free career audit. We'll tell you if this is the right track for you.

+91 954 954 3898