Master AI & Generative AI Development

From Python fundamentals to deploying production-ready AI agents, RAG systems, and cloud-based solutions.

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PROGRAM HIGHLIGHTS

Interactive learning with real-world projects

12 Modules
13+ Modules

Comprehensive curriculum from Python basics to advanced agentic systems

Hands-on Projects
Production-Ready

Build and deploy real AI applications using industry tools

Final Showcase
LLMs, RAG & Agents

Master the latest GenAI architectures and frameworks

Final Showcase
Career Guidance

Portfolio development, resume optimization, and job assistance

Complete Curriculum

13+ modules covering the full AI development lifecycle

1. Introduction to AI & Generative AI Tools
  • Foundations of AI (ML, DL, NLP)
  • GenAI Ecosystem & LLM Overview
  • AI Tools Landscape (ChatGPT, Claude, Gemini)
  • Prompt Engineering Introduction
  • Ethical AI & Responsible Use
ChatGPT Claude Gemini
2. Python Fundamentals for GenAI
  • Python Core Concepts
  • Data Structures & Control Flow
  • Working with Jupyter & Colab
  • GitHub Copilot Integration
  • OpenAI API Basics
Python Jupyter Colab
3. Python Intermediate + AI Packages
  • OOP & Exception Handling
  • NumPy, Pandas, Matplotlib, Seaborn
  • OpenAI SDK & LangChain Preview
  • Hugging Face Transformers
  • API Integration & Data Processing
Pandas NumPy Seaborn
4. Machine Learning & Deep Learning
  • Supervised & Unsupervised Learning
  • Scikit-Learn Algorithms
  • Neural Networks & Architectures
  • CNNs, RNNs, LSTMs, Transformers
  • TensorFlow & PyTorch
Scikit-Learn TensorFlow PyTorch
5. Natural Language Processing
  • Text Preprocessing & Representation
  • Word Embeddings & Tokenization
  • BERT vs GPT Architectures
  • NLTK, spaCy, Hugging Face
  • Sentiment Analysis & NER
spaCy NLTK Transformers
6. Prompt Engineering & Projects
  • Advanced Prompt Patterns
  • Chain-of-Thought & ReAct
  • RAG Concept Introduction
  • LangChain Projects
  • Flask/FastAPI Integration
LangChain OpenAI API FastAPI
7. LLMs & GenAI App Development
  • Transformer Architecture Deep Dive
  • OpenAI, Gemini, Claude APIs
  • Embeddings & Vector Databases
  • FAISS, Pinecone, Chroma
  • Agent Frameworks Overview
OpenAI API Pinecone FAISS
8. RAG Applications & AI Agents
  • RAG Pipeline Architecture
  • Document Parsing & Chunking
  • LangChain Agents & CrewAI
  • AutoGen Multi-Agent Systems
  • Tool Usage & Memory
LangChain CrewAI AutoGen
9. Cloud Deployment & Scalability
  • Azure, AWS, GCP AI Services
  • Flask/FastAPI Deployment
  • Docker & Containerization
  • Kubernetes & Auto-scaling
  • Monitoring with Prometheus/Grafana
Docker Kubernetes AWS/Azure/GCP
10. MCPs & Agent-to-Agent Communication
  • Model Context Protocol Standards
  • Multi-Agent Collaboration
  • A2A Message Passing
  • CrewAI & AutoGen Implementation
  • Security & Governance
MCP LangGraph OpenDevin
11. Agentic Systems & Orchestration
  • Planner/Executor/Reviewer Agents
  • Task Orchestration Frameworks
  • Memory & Context Sharing
  • Production Deployment
  • Capstone Phase 2
LangGraph CrewAI Streamlit
11A. AI Copilots & Productivity Tools
  • GitHub Copilot Deep Dive
  • Microsoft 365 Copilot
  • Cursor.ai & OpenAI Codex
  • Amazon CodeWhisperer
  • Google Duet AI
Copilot Cursor.ai Codex
12. No-Code & Low-Code AI Tools
  • n8n Workflow Automation
  • Zapier & Make Integrations
  • ClickUp, Notion AI Automation
  • Bot.new & Flowise AI
  • Multi-Tool Orchestration
n8n Zapier Notion AI
13. Capstone, Portfolio & Career
  • Final Project Presentation
  • GitHub Portfolio Development
  • LinkedIn Optimization
  • Resume Building with AI
  • Interview Preparation
GitHub LinkedIn Portfolio

Tools & Technologies

Industry Tools You'll Master

Languages & Libraries
Python Pandas NumPy TensorFlow PyTorch Keras
LLM APIs & Frameworks
OpenAI API Claude API Gemini API LangChain LangGraph
Agent Frameworks
CrewAI AutoGen FAISS Pinecone Chroma
Cloud & DevOps
AWS Azure GCP Docker Kubernetes

Projects

Production-Ready Projects You'll Build

Hands-on projects that demonstrate real-world AI development skills

AI Knowledge Assistant with RAG

Build a document Q&A bot using LangChain, OpenAI, and vector databases

LangChain FAISS OpenAI
Multi-Agent Research System

Create collaborative AI agents that plan, research, write, and review

CrewAI LangGraph
Cloud-Deployed Chatbot

Deploy a production chatbot with Docker, FastAPI, and cloud services

Docker FastAPI AWS/GCP
Agentic Workflow Automation

Build an autonomous system for email summarization and task automation

AutoGen n8n
Custom GPT Applications

Design and deploy specialized GPTs for business use cases

OpenAI GPTs Gemini Studio
Capstone: Full AI Pipeline

End-to-end project: data ingestion → model → agents → cloud deployment

Full Stack Portfolio Ready

Career Opportunities

Roles you'll be prepared for after completing this program

AI Developer

Build AI-powered applications

Data Scientist

Analyze data & build models

Prompt Engineer

Optimize LLM interactions

MLOps Engineer

Deploy & scale ML systems

Agent Specialist

Design multi-agent systems