A Teen Coder
Already comfortable with Python and ready for deeper AI engineering.
Advanced AI for teens — LLMs, NLP, vision, and real Python projects
Free session — no card required

Already comfortable with Python and ready for deeper AI engineering.
Wants portfolio projects for hackathons, Olympiads, or admissions.
Interested in LLMs, vision, NLP, and how real AI products work.
Aiming at CS, AI, or data science pathways after school.
Tap each module to explore topics, projects, and what your child will build step by step.
Dataset cleanup notebook
First ML prediction model
Week-by-week style overview of modules, topics, projects, and typical live-class time — so parents know exactly what their child will learn. Typical full-course pace: 60 live sessions.
| Module | Focus | Duration | Topics covered | Projects / activities |
|---|---|---|---|---|
| 1 | Python for AI | 12–15 sessions | NumPy, pandas, and data workflows; Supervised learning fundamentals; Model training and evaluation | Dataset cleanup notebook; First ML prediction model |
| 2 | LLMs & Prompts | 12–15 sessions | How large language models work; APIs, chains, and tool use; Build LLM-powered applications | LLM chatbot app; Prompt engineering experiments |
| 3 | Vision & NLP | 12–15 sessions | Image classification projects; Text processing and NLP basics; Multimodal mini applications | Image classifier; Sentiment analysis tool |
| 4 | Capstone | 12–15 sessions | Scope a real-world AI problem; Ship and document the project; Present for competitions or admissions | Capstone AI portfolio project |
Screenshots and walkthroughs from mentor-guided Hands-on AI, LLMs & Python builds — so parents can see the kind of work kids ship.

Students work with NumPy/pandas datasets, train a classifier or regressor, and evaluate accuracy — foundational ML engineering practice.

A Python app that calls an LLM API with structured prompts, tool use, or chained steps — mirroring how real AI products are built.
Watch a class glimpse

Image classification, sentiment analysis, or speech-related project polished for a portfolio demo and mentor review.
Strong comfort with Python basics is recommended. Class 8–12 students new to Python can start with our Python with AI track first (25–30 live sessions on average).
All plans include live mentor-led sessions, hands-on projects, and parent updates. Try free session before choosing a plan.
₹999 per session
Personal attention & fastest progress
View plan details →₹799 per session
Small-group learning with peers
View plan details →₹499 per session
Structured batch at lowest price
View plan details →Parent guides and STEM articles that pair well with Hands-on AI, LLMs & Python.

An LLM is like a super-fast pattern reader that predicts the next words — not a magic brain. Here’s a simple way to explain chatbots and AI to an 8-year-old, plus safe habits parents can teach at home.

A Python certificate can motivate school students, but a project portfolio usually matters more. Certificates are worth it when they follow real skills — not when they replace learning with a paid PDF.

AI literacy means kids can understand what AI is, where it is used, how to prompt safely, and when not to trust it. Schools are adding it because AI now shapes homework, creativity, and future careers.
Straight answers for parents comparing live Hands-on AI, LLMs & Python classes, syllabus depth, projects, and pricing.
GeekashramJr's Hands-on AI, LLMs & Python course is an advanced live program for Class 8–12 teens with strong Python basics. Over 8–12 months, students train machine-learning models, build LLM-powered apps with prompt engineering, complete NLP and computer vision projects, and ship a capstone AI portfolio piece — all with live mentors from strong technical backgrounds.
Hands-on AI, LLMs & Python is taught live module by module (60 live sessions). Parents can review the full syllabus table on this page — topics, projects, and typical session time per module — plus download the curriculum brochure.
Students complete mentor-guided projects throughout the course. By the end they typically have: Trained and evaluated a real machine-learning prediction model in Python; Built an LLM-powered app using APIs, chains, and prompt engineering; Completed a capstone AI portfolio project (vision, NLP, or LLM app) ready for hackathons or college profiles. Sample project screenshots and walkthroughs are shown above.
Hands-on AI, LLMs & Python is for students in Class 8 to 12 (Class 3 to 12 at GeekashramJr). Strong comfort with Python basics is recommended. Class 8–12 students new to Python can start with our Python with AI track first (25–30 live sessions on average).
GeekashramJr Explorers starts at ₹499 per session (Up to 5 students), Champions is ₹799 per session (Up to 3 students), and Super Mentors 1:1 is ₹999 per session. Try free session for current offers.
Classes are live online with GeekashramJr mentors — not passive video courses. Students get real-time feedback, debugging help, and project reviews in every session.
Strong comfort with Python basics is recommended for Class 8–12 students. Teens new to Python can start with our Python with AI track first, then move into this advanced AI engineering course.
Students cover Python for AI, LLMs, prompt engineering, NLP, computer vision, model training, and a capstone AI portfolio project with live mentor guidance.
Yes. The capstone is designed as a documented portfolio piece — useful for hackathons, Olympiads, or admissions profiles — with mentor reviews on scope, evaluation, and presentation.
Most teens complete the journey in about 8–12 months of live sessions, depending on prior Python strength and how ambitious the capstone is.
Try a free Hands-on AI, LLMs & Python session for students Class 3 to 12. Meet a mentor, see the teaching style, and get a personalized plan for your child.