🤖 AI Vidya 6-Month Generative AI Mastery Program

From Transformer Fundamentals to Building Real-World AI Applications

Join the Generative AI Mastery Program

🧭 Program Overview

AI Vidya 6-Month Generative AI Mastery Program

Duration	6 Months (24 Weeks)
Level	Advanced (AI/ML background preferred)
Mode	Mentor-Led + Project-Based Learning
Outcome	5+ GenAI Projects + 1 Capstone + Internship Eligibility
Certification	AI Vidya “Certified Generative AI Engineer”

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🔹 Phase 1: Foundations of Generative AI (Month 1)

Goal: Understand the science and architecture behind modern generative models.

Topics

• What is Generative AI? Evolution from ML to LLMs

• Architecture of Transformers (Attention, Self-Attention)

• Key Models: GPT, BERT, T5, LLaMA, Claude, Gemini

• Tokenization, Embeddings, and Fine-tuning basics

• Open-source vs API-based models

Hands-On Labs

• Tokenization and embeddings with Hugging Face

• Text generation using GPT-2 / T5

• Mini Project: Build a simple “AI Text Generator"

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🔹 Phase 2: Prompt Engineering & LLM Fine-Tuning (Month 2)

Goal: Learn to steer and customize LLMs for domain-specific tasks.

Topics

• Prompt Engineering techniques (Zero, One, Few-Shot)

• Chain-of-Thought and Self-Consistency prompts

• Instruction tuning & dataset preparation

• Fine-tuning small LLMs (DistilGPT2, FLAN-T5)

• Evaluation metrics for generative text

Hands-On Labs

• OpenAI API and LangChain prompts

• Fine-tune GPT2 / FLAN-T5 using custom dataset

• Mini Project: AI Content Assistant or Resume Writer

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🔹 Phase 3: Building with LangChain & Vector Databases (Month 3)

Goal: Integrate LLMs with external knowledge and build smart retrieval systems.

Topics

• Introduction to LangChain framework

• Vector embeddings and Retrieval-Augmented Generation (RAG)

• Pinecone, FAISS, Chroma vector stores

• Query optimization and memory management in chatbots

Hands-On Labs

• Build a Document Q&A bot using LangChain + FAISS

• Integrate OpenAI or Hugging Face models

• Project: AI Research Assistant or Knowledge Chatbot

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🔹 Phase 4: Multimodal Generative AI (Month 4)

Goal: Work with text, image, and audio generation models.

Topics

• Multimodal AI overview: text-to-image, text-to-audio, text-to-video

• DALL·E, Stable Diffusion, Midjourney API, and CLIP

• Speech synthesis with OpenAI TTS and Whisper

• Prompt chaining for multimodal experiences

Hands-On Labs

• Generate images using Stable Diffusion API

• Create an AI Art Gallery or Podcast Generator

• Project: AI Portfolio Generator (text → image → narration)

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🔹 Phase 5: Agents, Workflows & MLOps for GenAI (Month 5)

Goal: Automate tasks and deploy AI agents as real-world applications.

Topics

• LangChain Agents & Tools

• AutoGPT, BabyAGI, CrewAI — understanding autonomous systems

• Integrating APIs and knowledge sources

• MLOps for GenAI (Docker, Streamlit, FastAPI)

• Monitoring & scaling AI applications

Hands-On Labs

• Build an AI Agent that automates research tasks

• Deploy a chatbot with FastAPI and Docker

Project: “AI Knowledge Agent” Web App

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🔹 Phase 6: Capstone & Industry Internship (Month 6)

Goal: Build and deploy a full-fledged GenAI product and work with industry mentors.

Capstone Project Options

1. RAG Chatbot for Enterprises (PDF / document-based assistant)

2. AI Marketing Assistant (multi-agent pipeline for content + visuals)

3. Personal AI Tutor / Mentor Bot

4. GenAI Productivity Agent (Slack / Notion Integration)

Internship Component

• Duration: 8–10 weeks (with AI Vidya Partners)

• Mentorship: Weekly sync with AI Vidya Experts

• Deliverables: Working prototype + GitHub repo + presentation

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🧩 Program Deliverables

• 5+ Generative AI Projects

• 1 Capstone Project

• Internship Experience (optional)

• AI Vidya GenAI Certification

• Portfolio Showcase & Demo Day

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💼 Career Outcomes

After completion, learners can apply for roles such as:

• Generative AI Engineer / LLM Developer

• AI Application Developer

• Prompt Engineer / AI Solutions Architect

• AI Research Associate / Data Scientist (LLMs)

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💬 Mentorship & Ecosystem

• Weekly expert-led masterclasses

• Access to AI Vidya community on Discord

• Monthly guest sessions from OpenAI, Cohere, Hugging Face experts

• Career mentorship + project feedback

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⚙️ Bonus Add-ons

• Free “Prompt Engineering for Professionals” Microcourse

• Access to AI Vidya Internship NetworkStart from zero and build your first AI projects — no coding experience needed.

Build the next generation of AI — master LLMs, LangChain, and AI Agents with expert guidance.

Join the Generative AI Mastery Program