Program Overview & Highlights

The Certificate Program in Generative AI for Professionals is a comprehensive, 6-month online course designed to equip both technical and non-technical professionals with skills in Agentic AI, automated workflows, and production-ready web applications.

Key Highlights:

Duration: 6 Months (with newly added 2026 Agentic AI Modules).
Format: Online instruction with 30+ LIVE classes led by industry leaders.
Hands-on Learning: Master 30+ AI tools, complete 10+ projects/case studies, and execute 1 Capstone Project.
Immersion: Includes an optional 2-day campus immersion experience at IIT Patna.
Career Support: Comprehensive career guidance, portfolio building, and resume-writing support.
Credentials: Earn an official certification from IIT Patna (a premier Tier 1 institution).

Comprehensive 6-Month Curriculum

MODULE 1: Fundamentals of Generative AI and LLMs

Duration: 3 Weeks (Live + Hands-on).
Goal: Build a robust technical foundation in Large Language Models (LLMs) from tokenization to retrieval systems.
What You’ll Learn: Transformer architectures, tokenization (encoding/decoding), vector embeddings, prompt engineering design patterns, Retrieval-Augmented Generation (RAG) fundamentals, and building Custom GPTs/Gemini Gems.
Tools Used: OpenAI, Google Gemini, Mistral, LM Studio, Ollama.

MODULE 2: Multi-Modal AI: Image, Voice, and Video Creation

Duration: 4 Weeks (Creative Applied).
Goal: Develop the capability to create high-quality AI-generated imagery, studio voiceovers, and dynamic video campaigns.
What You’ll Learn: Advanced prompt design for realistic images, expressive text-to-speech synthesis, AI music composition, digital avatars, and multi-modal design principles.
Tools Used: Midjourney, HeyGen, Suno, LM Studio, KREA AI.

MODULE 3: AI Automation and Productivity

Duration: 4 Weeks (Applied Systems Focused).
Goal: Design and build event-driven AI automations connecting real-world business tools and APIs.
What You’ll Learn: Trigger-action system architectures, webhooks, API testing/integration via Postman, building content pipelines, and automated lead response systems.
Tools Used: Make.com, Zapier, ClickUp, ChatGPT, Postman.

MODULE 4: AI Agents Implementation

Duration: 4 Weeks (Advanced System Design Focused).
Goal: Build stateful, multi-platform AI agents capable of executing complex real-world workflows.
What You’ll Learn: Local hosting of workflows, stateful agent memory architectures, custom voice-enabled AI agents, and integrating agent logic with databases like Supabase.
Tools Used: n8n, Supabase, Retell AI, Twilio, OpenAI, Gemini.

MODULE 5: AI Web Application Development

Duration: 4 Weeks (Product Deployment Focused).
Goal: Full-stack design, development, and deployment of interactive AI web products.
What You’ll Learn: AI-assisted frontend and backend architectures, model integration into web portals, intelligent recommendation features, rapid prototyping, and production deployment.
Tools Used: Replit, Lovable, Claude, Supabase, Razorpay, Emergent.

MODULE 6: Domain Applications & Career Capstone

Duration: 2 Weeks (Live Support & Execution).
Goal: Complete a 4-week structured Capstone Project and optimize your technical profile for the global job market.
What You’ll Learn: Architecture blueprinting, API performance optimization, LinkedIn profiling for AI visibility, portfolio compilation, and ethical AI deployment frameworks (privacy, bias, legalities).

4. Practical Projects to Build

Participants graduate with a functional public portfolio containing real-world AI applications:

Private AI Assistant: Host a secure, locally-run LLM protecting sensitive data.
Sales Auto-Response Pipeline: Automatically analyze lead intent and reply intelligently.
Smart PDF Data Processor: Extract unstructured data from scanned documents into clean databases.
AI Email & Calendar Agent: Automatically read emails, draft replies, check calendar slots, and schedule meetings.
Full-Scale E-Commerce Platform: Deploy a functional online store built using AI-assisted coding tools featuring custom recommendation engines.

5. Admission, Fees, & Prerequisites

Who Should Apply?

This course is structured for both tech and non-tech professionals. It is highly beneficial for:

Marketing, Operations, and HR Professionals
Students, Business Owners, Consultants, and Freelancers
Product Managers, Data Professionals, and Finance Experts
Coders, Developers, and Tech Educators

Prerequisites:

Must have completed at least 10+2 education.
No prior coding experience is required (necessary code frameworks are taught from scratch within the curriculum).

Fee Structure & Financing:

Early Bird Admission Offer: ₹25,999 (Valid only for the first 50 accepted candidates).
Standard Program Fee: ₹30,000.
Financing: Official EMI options are available.
Refund Policy: 70% refund if requested before the official first day of instruction; no refunds are granted after classes commence.