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Rahul placed successfully!

Secured a role in AI & GenAI at Tech Mahindra

🤖 Next-Gen Tech Track

Generative AI & Autonomous AI Agents

Master Prompt Engineering, Large Language Models (LLMs), LangChain, Vector Databases, Retrieval-Augmented Generation (RAG), and build production-ready autonomous multi-agent systems.

2 Months Hands-on Duration
3+ Live Labs Production Capstones
100% Placement Support
Global Cert Accredited Credential

What You Will Master

Designed by Silicon Valley industry leads to take you from foundational AI principles to building custom autonomous AI pipelines.

Advanced Prompting & Fine-tuning

Zero-shot, Few-shot, Chain-of-Thought prompting, and PEFT/LoRA model tuning.

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Enterprise RAG Architecture

Vector embeddings, Pinecone/ChromaDB indexing, and contextual query retrieval.

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Autonomous AI Agents

Build goal-oriented agents using LangChain, CrewAI, AutoGen, and tool integrations.

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Model Deployment & LLMOps

Containerize models with Docker, FastAPI, and deploy onto AWS Bedrock / Azure AI.

Curriculum & Weekly Syllabus

Comprehensive modular breakdown tailored for real-world enterprise engineering.

Module 1: Foundations of LLMs & Prompt Engineering
  • Transformer Architectures, Tokenization, and Attention Mechanisms
  • In-Context Learning, Few-Shot, ReAct Framework
  • API Integration: OpenAI GPT-4o, Anthropic Claude, Google Gemini
  • Mitigating Hallucinations & Output Guardrails
Module 2: LangChain & LlamaIndex Orchestration
  • LCEL (LangChain Expression Language) Pipelines
  • Memory Models, Chat History Buffers, and Callbacks
  • Document Loaders, Text Splitters, and Markdown Parsers
Module 3: Enterprise RAG & Vector Databases
  • Embeddings (OpenAI ada-002, HuggingFace BGE)
  • Vector Stores: Pinecone, ChromaDB, Weaviate, Milvus
  • Hybrid Search, Re-ranking algorithms, and Context Compression
Module 4: Multi-Agent Systems (CrewAI & AutoGen)
  • Autonomous Agents with Tool Calling & Web Search capabilities
  • Hierarchical & Sequential Multi-Agent orchestration
  • Human-in-the-loop workflows and task delegation
Module 5: LLMOps, Security & Cloud Deployment
  • FastAPI Wrapper & Streaming Responses
  • LangSmith & Prompt Versioning/Evaluation
  • Deploying Scalable AI Services on AWS Cloud

Live Enterprise Projects

Build actual production systems to showcase directly on your GitHub and resume.

Project 01

Enterprise Document RAG Assistant

Build a multimodal chatbot that ingests 500+ PDF manuals and answers queries with exact page citations and zero hallucination.

Project 02

Autonomous Financial Research Agent

A multi-agent CrewAI system that scours live stock feeds, aggregates SEC filings, and drafts automated PDF investment memos.

Project 03

AI Customer Support Agent with Tools

An autonomous voice/text support agent integrated with SQL database APIs to process live returns, refunds, and ticket escalations.

Project 04

Custom Code-Review Bot on GitHub

CI/CD automated agent that evaluates pull requests, identifies vulnerabilities, and posts inline refactoring suggestions.

Tools & Frameworks Covered

Industry-standard tech stack used by leading AI engineering teams globally.

◆ OpenAI GPT-4o ◆ LangChain ◆ CrewAI ◆ Pinecone ◆ LlamaIndex ◆ ChromaDB ◆ HuggingFace ◆ FastAPI ◆ Docker ◆ AWS Bedrock

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