Course Content

Module 1: Introduction to Enterprise Agent Architecture

• Security & compliance
• Access control
• Data governance
• Observability & logging
• Enterprise RAG patterns

Module 2: Google AI Studio (Gemini)

• Building Gemini agents
• Tool calling & file operations
• Reasoning models
• Structured outputs
• Evaluating Gemini agents

Module 3: Vertex AI Agent Builder

• Dialogflow CX fundamentals
• Multilingual agents
• BigQuery integration
• REST API connections
• Endpoints, deployment, journeys & flows

Module 4: Azure OpenAI Assistants

• Tools & plugins
• Azure AI Search integration
• Token streaming
• Function calling
• Enterprise security & monitoring

Module 5: Azure PromptFlow

• Create & orchestrate flows
• Add tools & evaluate performance
• Deploy flows as APIs
• CI/CD with PromptFlow

Module 6: Enterprise RAG Patterns

• Azure AI Search vector index
• Gemini + Vertex RAG
• Enterprise PDF indexing
• Redaction & PII masking
• Query routing strategies

Hands-On Labs

• Lab 1 — Gemini Agent (Tools, Files, Structured Outputs, Evaluation)
• Lab 2 — Vertex AI Agent Builder (Multi-turn flows, BigQuery, Backend fulfillment)
• Lab 3 — Azure PromptFlow Agent (AI Search, Deployment, Evaluation)
• Lab 4 — Azure Enterprise RAG (PDF indexing, Vector search, FastAPI deployment)

Final Project

Enterprise Compliance Agent

• Ingest RBI, SEBI, IRDAI, ESG, BaFin policy documents
• RAG-based answering with citations
• Export compliance summaries
• Deploy API + UI

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