🤖 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
Support Resume & Referrals
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.

🔍
Enterprise RAG Architecture

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

🤖
Autonomous AI Agents

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

🚀
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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