Inaugural Batch
Learn in ಕನ್ನಡ 
1.9K+ students have already registered
What will you learn?
Go from zero to job-ready in AI/ML with beginner-friendly, industry-aligned curriculum from I-Hub IIT Patna, taught in Kannada, covering Python, data analysis, machine learning, and generative AI with hands-on projects. Built for beginners, designed to get you building real things fast.
Meet our Instructor Team
Abhinandan S P
Asst. Professor at IIT Palakkad
Sriram Desai
Senior Software Engineer, PayPal
Meghana Gowda V
Data Scientist, Ex- Flipkart
Abhinandan S P
Asst. Professor at IIT Palakkad
Sriram Desai
Senior Software Engineer, PayPal
Meghana Gowda V
Data Scientist, Ex- Flipkart
*Note: Instructors teaching your batch may change based on specific module expertise, or circumstances such as personal emergencies, unavailability etc.
Course Details
Foundations of Data
- AI vs ML vs GenAI landscape Git/GitHub/CLI VS Code/Colab environments & secrets
- Python for Data (types, flow, functions, files) · notebooks discipline
- NumPy + pandas (indexing, joins/merge, groupby, missing values)
- SQL lite (SELECT/WHERE/GROUP BY + one JOIN) · spreadsheets (pivots, XLOOKUP) · pandas ↔ SQL mental model
- Plotting & storytelling (matplotlib/plotly) · EDA checklist
- APIs (requests, JSON) + basic ethics/ToS · ingest → clean → EDA snack app (optional Streamlit)
Mini Projects Unlocked
CryptoWatch — Real-Time Market Sentiment Tracker
FoodSafety Insights — Restaurant Inspection Intelligence
TrendPulse — What's Actually Trending Right Now
Classical ML
- ML workflow & habits: problem framing, train/validation/test split, baselines, cross‑validation, metric tables
- Data prep: missing values, duplicates, categorical encoding, scaling, leakage guard, simple feature engineering (dates, counts), class imbalance basics
- Regression: Linear Regression + regularization; metrics MAE/RMSE/R²; quick error analysis
- Classification: Logistic Regression; Trees & Random Forests; metrics accuracy, precision/recall, F1, ROC‑AUC; threshold tuning
- Model comparison & selection: choose by metric + simplicity
Mini Projects Unlocked
ChurnGuard — Predicting Customer Exit Before It Happens
LoanLens — Automated Credit Risk Assessment
RentRight — Predicting Fair Apartment Prices
GenAI & Agents
- LLM fundamentals: tokens, context windows, temperature/top‑p, cost/latency basics
- Prompting patterns: role, few‑shot, CoT; tiny prompt‑eval set
- Agents 101 (basics): single agent, 1–2 tools, JSON schemas, retries/backoff, hard stop; mini‑build (CSV Analyst or FAQ Helpdesk)
- Function/Tool calling: structured outputs (JSON/validation), idempotent tool design
- Shipping Sprint (FastAPI): wrap the agent as an API ( /chat ) with Pydantic schemas, env/secrets, logging + request IDs; deploy to Render or HF Spaces; run a 10‑prompt live eval
- RAG 101: embeddings, chunking, retrievers, vector stores; RAG eval (answer correctness & context recall), semantic search
- Agents + RAG: reuse the Agents 101 loop with a retriever tool; same eval harness
- Orchestration (intro): LangGraph basics—nodes, transitions, retries; ship a small agent flow
Mini Projects Unlocked
DataGenie — Natural Language Data Analyst
SupportAI — Intelligent FAQ Helpdesk Agent
ResearchPilot — Automated Market Research Agent
Multi-Model Answerboard (AI Fiesta-style)
One chat, multiple model answers side-by-side with cost/speed badges; toggle RAG for cited answers and add smart routing + A/B prompt
English & Soft Skills Training
Everyday English for Self-Expression
Learn how to talk about yourself comfortably and confidently in common situations.
Building Clear and Correct Sentences
Strengthen sentence formation so your English sounds natural and complete.
Speaking with Impact and Awareness
Learn to organise thoughts, speak smoothly, and communicate with confidence.
Professional Communication & Soft Skills
Apply spoken English skills to professional and workplace-like situations.
Please Note :- "Due to the evolving nature of the industry expectations and partner institute feedback, some syllabus aspects may change. Any updates will be communicated during the Inauguration Session(s) or at the start of the relevant module"
Why choose this course?
Prestigious certification from Vishlesan i-Hub, IIT Patna
Work on real-world capstone projects designed to solve practical challenges.
Taught in Kannada by expert faculty and industry mentors.
Get placement assistance, resume reviews, and coaching (Eligibility: 7+ CGPA and 65% attendance)
*Certificate Eligibility: Minimum 65% overall attendance and 30% marks in cumulative evaluations score