New Age AI Engineering Program
from Vishlesan i-Hub, IIT Patna
New Age AI Engineering Program
from
Vishlesan i-Hub, IIT Patna
- Build fully autonomous AI agents using python, LLMs, and RAG for real-world tasks.
- Integrate APIs to make your agents fetch, analyze, and act on live data automatically.
- Master 5 cutting-edge agentic AI concepts like prompt chaining, RAG, tool usage, memory, and self-reflection.
Batch Start Date
November 12, 2025
Program Duration
7 Months
Time Commitment
8-10 Hrs/ week
Eligibility
12th Pass and Above
Learning Mode
Online
Batch Start Date
November 12, 2025
Program Duration
7 Months
Time Commitment
8-10 Hrs/ week
Eligibility
12th Pass and Above
Learning Mode
Online
The future of AI Engineering is here
The future of AI is not about replacing humans, it's about augmenting human capabilities
CEO of Google,
This next generation of AI will reshape every software category and every business, including our own
CEO of Microsoft,
About Vishlesan i-Hub, IIT Patna
- National Innovation Hub: Vishlesan i-Hub at IIT Patna is part of a national mission, advancing AI in speech, video, and text analytics for sectors like health, education, and security.
- Premier Technical Institute: IIT Patna is one of India's top engineering institutes, known for its cutting-edge research and strong academic foundation.
- Strong Industry & Research Ecosystem: With active collaborations, incubators, and innovation hubs, IIT Patna bridges academia and industry to drive real-world impact.
Admission Process
Clear Qualifier Test
Clear the qualifier test to be eligible for the program
Complete Counselling
Only shortlisted candidates go through the counselling process
Start Learning
Learn from India's top educators and stand out from the crowd.
Qualifier Test Details
To join this program, you must clear the qualifier test on your allotted date.
Topics Covered
- • Logical Reasoning
- • Basic Maths
- • Quantitative Aptitude
Registration Process
- • Pay ₹99 and choose your slot
- • Unlock free mock test and practice before your final exam
Things to Remember
- • The duration of the test is 60 minutes
- • You can take the test only once at your allotted time & slot
- • The test must be taken on a desktop or laptop. Supported browsers (latest versions only): Google Chrome, Safari, Microsoft Edge, and Firefox.
Fee Structure
Qualifier Test Fee
(non-refundable)
Option 1
Upfront
Option 2
EMI
(Through Our NBFC Partners)
Secure Seat Fee
(non-refundable)
₹4,000
₹4,000
Program Fee
(non-refundable)
₹56,000
₹7,156 x 9 months
Total
₹60,000
( + GST **)
₹68,404
( + GST **)
** GST at 18% extra, as applicable
Our NBFC Partners
Who is this Program for?
Anyone with a passion for building a career in New Age AI Engineering
Certification from Vishlesan i-Hub IIT Patna:
Receive a Certificate of Completion with Vishlesan i-Hub, IIT Patna, significantly enhancing your profile’s value.
Real-World Capstone Project:
Work on capstone projects designed to solve practical business challenges
Expert Faculty & Industry Insights:
Learn from IIT faculty & industry experts bringing real-world insights to your learning journey.
Future-Proof Career Gateway:
Launch into a high-growth, future-proof New Age AI Engineering career with in-demand skills.
Industry Readiness
Get interview-focused coaching and AI-powered practice sessions — all designed to boost your chances in competitive hiring. Eligibility: 5 CGPA in this program.
Case-Based Learning:
Engage in real-world, case-based sessions that connect theory with practical Software engineering challenges.
What Will You Learn?
Elevate your software engineering prowess. Learn to build intelligent applications, deploy scalable cloud solutions, and integrate Generative AI for unparalleled innovation. Drive your career forward with a robust portfolio built from hands-on labs simulating real-world AI development and cloud deployments. Secure your place as a high-impact software engineering professional, ready to lead with data-driven strategies and build intelligent digital products.
Toolkit
Course Details
Duration
7 Months
Course Mode
Online
Certification
From Vishlesan i-Hub IIT Patna
Module 1: Foundations of AI Programming
- Python Programming – Core Python skills, data structures, and libraries essential for AI
- Understanding LLMs – How Large Language Models work, what makes them powerful, and their limitations
- Working with OpenAI API – Making API calls, handling responses, managing costs
- Prompt Engineering – Writing effective prompts, controlling outputs with temperature and tokens, preventing prompt injections
- Different AI Models – When to use reasoning models (o1, o3) vs general models (GPT-4, Claude), introduction to multimodal AI
- Backend Engineering – Building APIs, CRUD operations, SQL databases, authentication, and security basics
Module 2: Full-Stack AI Development
- Frontend Basics – HTML/CSS/JavaScript fundamentals for AI interfaces
- Production Deployment – Docker, cloud platforms, CI/CD pipelines
- Building Complete AI Apps – Connecting frontend to AI backend, creating end-to-end applications
- RAG Fundamentals – What is Retrieval-Augmented Generation and why it matters
- Building RAG Pipelines – Document processing, chunking strategies, and retrieval techniques
- Vector Databases & Embeddings – Storing and searching through knowledge using Pinecone/Chroma/Weaviate
Module 3: RAG Systems & AI-Powered Development
- Advanced RAG with GraphRAG – Knowledge graphs and connected information retrieval
- LangChain Framework – Using chains, agents, and memory for complex AI workflows
- Evaluating RAG Systems – Measuring accuracy, relevance, and preventing hallucinations
- AI Coding Assistants – Hands-on with Cursor, Claude Code, v0.dev, Lovable, Windsurf, and Replit
- Building Your AI Dev Environment – Creating personalized AI-powered workflows
- Model Context Protocol (MCP) – Connecting AI to external tools and data sources
- Accelerating Development – Using AI to write, debug, and optimize code faster
- Capstone Project 1 – Scoping, implementation, testing, presentation
Module 4: AI Agents
- Introduction to AI Agents – What are agents and how they differ from simple AI calls
- Setting up Agent Workflows – Using MCP to manage and orchestrate agents
- Agent Memory & State – Making agents remember context and manage conversations
- Multi-Agent Systems with LangGraph – Building teams of agents that work together
- Production-Ready Agents – Deployment, monitoring, and human oversight
- User-Focused Design – Building agents people actually want to use
Module 5: Machine Learning & Deep Learning
- Data Handling – Collecting, cleaning, and preparing data for ML models
- Classical Machine Learning – Regression, classification, and evaluation techniques
- Tree-Based Models – Decision trees, random forests, and gradient boosting
- Unsupervised Learning – Clustering, dimensionality reduction, finding patterns in data
- Neural Networks Basics – How neural networks learn and make predictions
- Understanding Transformers – The architecture behind LLMs, attention mechanisms explained
Module 6: Open Source Models & Capstone Project
- Open Source AI Ecosystem – Using HuggingFace, Ollama, and free models
- Running Models Locally – Deploy LLMs on your own hardware
- Building with Open Source – Creating RAG systems without proprietary APIs
- How LLMs Really Work – Internal mechanics, why they hallucinate, security considerations
- Fine-tuning Models – Adapting models to your specific needs using PEFT, QLORA, LORA
- Testing & Evaluation – Benchmarking custom models and optimization strategies
- Capstone Project 2 – Architecture, implementation, testing, optimization, deployment, peer review
Contact Us
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