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AI Expert: Hands-On AI, LLMs & Python

Advanced AI for teens — LLMs, NLP, vision, and real Python projects

  • Train & evaluate machine-learning models hands-on
  • LLM-powered apps with prompt engineering
  • NLP, computer vision & capstone AI projects
  • 60 live sessions of advanced AI classes
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Free session — no card required

GeekashramJr teen student in black Geekashram polo learning hands-on AI, LLMs, and Python projects
Hands-on AI, LLMs & Python
12+ AI Builds
Learning outcomes

By the end of Hands-on AI, LLMs & Python, your child will 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
  • Trains real machine-learning prediction models
  • Builds vision, NLP, and LLM-powered apps
  • Masters prompt engineering with Python
  • Creates a capstone AI portfolio project

This course is for your child if they are:

A Teen Coder

Already comfortable with Python and ready for deeper AI engineering.

A Competition Prepper

Wants portfolio projects for hackathons, Olympiads, or admissions.

An AI Builder

Interested in LLMs, vision, NLP, and how real AI products work.

A Future Engineer

Aiming at CS, AI, or data science pathways after school.

Curriculum journey

Module-by-module curriculum

Tap each module to explore topics, projects, and what your child will build step by step.

Module 1 · 12–15 sessions

Python for AI

Topics

  • NumPy, pandas, and data workflows
  • Supervised learning fundamentals
  • Model training and evaluation

Projects

  • Project 1

    Dataset cleanup notebook

  • Project 2

    First ML prediction model

View full curriculum →
Full syllabus

Hands-on AI, LLMs & Python syllabus at a glance

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.

Hands-on AI, LLMs & Python syllabus with module number, title, duration, topics, and projects
ModuleFocusDurationTopics coveredProjects / activities
1Python for AI12–15 sessionsNumPy, pandas, and data workflows; Supervised learning fundamentals; Model training and evaluationDataset cleanup notebook; First ML prediction model
2LLMs & Prompts12–15 sessionsHow large language models work; APIs, chains, and tool use; Build LLM-powered applicationsLLM chatbot app; Prompt engineering experiments
3Vision & NLP12–15 sessionsImage classification projects; Text processing and NLP basics; Multimodal mini applicationsImage classifier; Sentiment analysis tool
4Capstone12–15 sessionsScope a real-world AI problem; Ship and document the project; Present for competitions or admissionsCapstone AI portfolio project
Sample projects

Projects students build in Hands-on AI, LLMs & Python

Screenshots and walkthroughs from mentor-guided Hands-on AI, LLMs & Python builds — so parents can see the kind of work kids ship.

Student machine learning notebook dashboard project screenshot

ML prediction model

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

  • NumPy
  • pandas
  • Model evaluation
Hands-on AI LLMs Python course student LLM application project

LLM-powered assistant app

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

  • LLMs
  • Prompt engineering
  • APIs

Watch a class glimpse

GeekashramJr teen presenting advanced AI capstone project

Computer vision or NLP capstone

Image classification, sentiment analysis, or speech-related project polished for a portfolio demo and mentor review.

  • Computer vision
  • NLP
  • Portfolio

Prerequisites & who can join

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).

Grade range
Class 8 to 12
Estimated duration
60 live sessions
Class format
Live online with GeekashramJr mentors
Pricing

Hands-on AI, LLMs & Python class pricing

All plans include live mentor-led sessions, hands-on projects, and parent updates. Try free session before choosing a plan.

1:1 PERSONALIZED

Super Mentors

₹999 per session

1 student

Personal attention & fastest progress

View plan details →
3 STUDENTS

Champions

₹799 per session

Up to 3 students

Small-group learning with peers

View plan details →
5 STUDENTS

Explorers

₹499 per session

Up to 5 students

Structured batch at lowest price

View plan details →
Compare all plans
From our blog

Parent guides and STEM articles that pair well with Hands-on AI, LLMs & Python.

Hands-on AI, LLMs & Python — frequently asked questions

Straight answers for parents comparing live Hands-on AI, LLMs & Python classes, syllabus depth, projects, and pricing.

What does GeekashramJr's Hands-on AI, LLMs & Python course cover?

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.

What does the Hands-on AI, LLMs & Python syllabus include?

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.

What projects will my child build in Hands-on AI, LLMs & Python?

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.

What are the prerequisites for Hands-on AI, LLMs & Python?

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).

How much do Hands-on AI, LLMs & Python classes cost at GeekashramJr?

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.

Are Hands-on AI, LLMs & Python classes live or recorded?

Classes are live online with GeekashramJr mentors — not passive video courses. Students get real-time feedback, debugging help, and project reviews in every session.

What level of Python is needed for Hands-on AI, LLMs & Python?

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.

What advanced AI topics are covered?

Students cover Python for AI, LLMs, prompt engineering, NLP, computer vision, model training, and a capstone AI portfolio project with live mentor guidance.

Will my teen build portfolio projects for college or hackathons?

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.

How long is the advanced AI track?

Most teens complete the journey in about 8–12 months of live sessions, depending on prior Python strength and how ambitious the capstone is.

Still not convinced? Try free session and see the difference yourself

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.

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