Generative AI & Agentic AI for Beginners

Course Curriculum (Weekly Breakdown)

Week 1: Introduction to Generative AI & Python Setup

1. Generative AI fundamentals, LLMs overview (GPT, BERT, LLaMA)
2. Transformers & tokenization
3. Python, Git, Hugging Face setup
Outcome: First text generation with Hugging Face models

Week 2: Prompt Engineering Essentials

1. Zero-shot, few-shot prompts, CoT & system prompts
2. Prompt templates & interactive labs
Outcome: Build a Q&A chatbot using Streamlit

Week 3: Hugging Face & Model Customization

1. AutoModel, AutoTokenizer, pipelines
2. Embeddings, fine-tuning basics, evaluation metrics
Outcome: Generate embeddings & run custom models

Week 4: Chatbots & Conversational AI

1. Multi-turn conversation design, memory handling
2. Personality-based chatbots (Streamlit deployment)
Outcome: Build a persona-driven chatbot

Week 5: Agentic AI – Foundations & Concepts

1. Generative vs Agentic AI
2. Agent loop (Thought → Action → Observation)
3. Manual ReAct loop coding
Outcome: Create first Python-based agent loop

Week 6: LangChain for Agents

1. Chains, memory, multi-tool integration
2. Wikipedia API, Python REPL, Streamlit app integration
Outcome: Build a conversational LangChain agent

Week 7: Retrieval-Augmented Generation (RAG)

1. ChromaDB, FAISS, embeddings & vector similarity
2. Document ingestion & querying with LangChain
Outcome: Build a RAG-powered QA chatbot

Week 8: Knowledge Graphs & LangGraph (Optional)

1. LangGraph overview, workflows, debugging
2. State tracking with agents
Outcome: Guided LangGraph mini-project

Week 9: Real-World Application Building

1. Full-stack AI app architecture (UI + backend)
2. Streamlit, Gradio, FastAPI
3. Deployment on Hugging Face Spaces
Outcome: Build & deploy a Student FAQ Bot

Weeks 10–12: Capstone Projects & Presentations

1. Planning, development, testing & peer review
Final Deliverable: AI Roadmap + Capstone App Demo

Career Outcomes & Certification

Upon completion, you'll receive:

1. Build end-to-end AI apps using LLMs & agents
2. Gain expertise in prompt engineering & RAG pipelines
3. Learn deployment & version control for AI workflows
4. Create a portfolio of real-world AI projects
5. Aligned to entry-level roles:
- I. Junior ML Engineer
- II. Conversational AI Developer
- III. Prompt Engineer
- IV. AI Engineer

Capstone Project

Choose a domain like Retail, Healthcare, HR, Finance, or Education and deliver a full project:

1. Patient Query & Report Summarization Agent
2. AI Tutor Agent
3. chatot

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Frequently Asked Questions

Who can join this Generative & Agentic AI program?

Beginners including students, educators, and professionals interested in AI.

What will I learn in this course?

LLMs, prompt engineering, Hugging Face, LangChain, RAG, chatbot design, deployment, and capstone projects.

Do I need prior coding knowledge?

Basic Python helps, but the course starts from beginner level.

How long is the training?

12 weeks (60 sessions, 2 hours/day, Mon–Fri).

What is the outcome of this training?

A DigiDARA certification + 3–4 capstone projects + job-ready AI portfolio.