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Build 10+ real-world GenAI and Agentic AI projects to master the technology.

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GenAI & Agentic AI Masterclass | 2026 Edition

The complete engineering program — from LLM fundamentals to production multi-agent systems. 25 Modules | 5 Phases | 15+ Frameworks | 8 Real Projects

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GENAI LIVE

Complete 25-Module Curriculum

5 Detailed Phases covering everything from Foundations to Production Deployment

PHASE 01: GenAI Foundations

01

AI Landscape 2026

From ANI to frontier models — the state of play

🛠 Build: AI Ecosystem Map, Model Selection Framework, API Integration Basics
02

How LLMs Work

Transformers, attention, tokenization & emergent intelligence

🛠 Build: Transformer Architecture Walkthrough, Context Management Strategy
03

Prompt Engineering Mastery

Zero-shot, few-shot, CoT, ToT & structured output techniques

🛠 Build: Structured JSON Output systems, DSPy Optimization pipelines
04

Multimodal AI Systems

Vision, audio, video & code — unified model architectures

🛠 Build: Image Analysis OCR, Voice Synthesis with Whisper, Multimodal Workflows
05

Fine-Tuning & PEFT

LoRA, QLoRA, instruction tuning — customise any model

🛠 Build: LoRA Fine-tuned Model on Consumer GPU/Colab

PHASE 02: RAG & Knowledge Systems

06

Vector Databases & Embeddings

Pinecone, Weaviate, pgvector — Semantic search fundamentals

🛠 Build: Multimodal Index (Image/Audio/Text) Vector Store
07

RAG Architecture

Naive RAG → Advanced RAG → Modular RAG pipelines

🛠 Build: Advanced Reranking & Contextual Compression systems
08

Advanced RAG Techniques

Self-RAG, Corrective RAG (CRAG), GraphRAG & hybrid search

🛠 Build: Hierarchical Indexing with RAPTOR
09

LangChain & LlamaIndex

Build production RAG apps with top orchestration libraries

🛠 Build: Composable chains with LCEL and Query Engines
10

Production RAG Systems

Evaluation, monitoring & optimising RAG at scale

🛠 Build: RAGAS Evaluation suite and Cost/Latency Dashboards

PHASE 03: Agentic AI Engineering

11

Agentic AI Fundamentals

ReAct loop, tool calling, memory types & cognitive architectures

🛠 Build: ReAct Reason-Loop from scratch in Python
12

OpenAI Agents SDK

Build production agents with Swarm, handoffs & guardrails

🛠 Build: SDR Sales Agent with Multi-Agent Handoffs
13

LangGraph Deep Dive

Stateful graph-based agents with checkpointing & HITL

🛠 Build: Browser Sidekick Project (Playwright + LangGraph)
14

CrewAI Multi-Agent Systems

Role-playing agent teams, crews, flows & task orchestration

🛠 Build: Stock Picker Financial Research Crew
15

Model Context Protocol (MCP)

Resources, Tools, Prompts & Sampling — the new agent standard

🛠 Build: Custom MCP Server for API/Database access

PHASE 04: Advanced Agentic Patterns

16

Multi-Agent Orchestration

Hierarchical, peer-to-peer & event-driven agent networks

🛠 Build: Engineering Team Agent (Manager, Coder, Tester, Reviewer)
17

Agent Memory & Persistence

Long-term persistent and structured episodic memory stores

🛠 Build: Mem0 + Zep persistent memory layer
18

Code & Browser Agents

Build agents that write, run code & control browsers

🛠 Build: E2B Sandboxed Code Interpreter Agent
19

Agent Evaluation & Safety

Benchmarking, red-teaming & responsible agentic AI

🛠 Build: Red-Teaming Adversarial testing suite
20

LLMOps & Agent Monitoring

Observability, tracing, cost control & production reliability

🛠 Build: OpenTelemetry Monitoring Stack for Agents

PHASE 05: Capstone & Deployment

21

Building AI Copilots

Domain-specific assistants for coding, research & business

🛠 Build: Research Assistant Copilot with streaming suggestions
22

Autonomous Workflow Agents

n8n, Zapier AI & no-code agentic automation pipelines

🛠 Build: Multi-app n8n AI Workflow Automation
23

AI Product Architecture

Design AI-native SaaS — APIs, streaming, caching & costs

🛠 Build: FastAPI AI Backend with WebSocket Streaming
24

Cloud Deployment & Scaling

AWS Bedrock, GCP Vertex, Azure AI — production deployment

🛠 Build: Dockerized Agent Deployment on AWS/GCP
25

Future of Agentic AI

Physical AI, agent economies, AGI timeline & roadmap

🛠 Build: 90-Day Personal Career Roadmap Strategy

📚 Class Format

  • 1 hour per module (25 Hours Total)
  • Intensive Engineering Focus
  • Live Interactive Hands-on Labs

🛠 Tools Mastered

OpenAI SDK, LangGraph, CrewAI, MCP, RAGAS, Pincone, FastAPI, Docker

👥 Career Roadmap

Includes complete plan to transition into AI Engineering roles

Enroll in AI Virtual Classroom Training

Start your journey to becoming an AI expert. Limited seats available!

🦅 Early Bird Offer - 30% OFF!

Full Course Access

Course Fee (India): ₹14,285 ₹8,474
GST (18%): ₹2,571 ₹1,525
Total (INR): ₹9,999
You Save: ₹4,286 (30%)
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What's Included:

  • ✓ 25 Comprehensive Modules across 5 Phases
  • ✓ 8+ Hands-on Engineering Projects

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