Large Language Models
Understand the AI everyone's talking about — and build with it. Learn how large language models like GPT actually work (tokens, embeddings, attention, transformers), then build real applications using LLM APIs, embeddings and RAG in Python. Live, hands-on, mentor-led.
Quick answer
Modern Age Coders' Large Language Models Course teaches both how LLMs like GPT work and how to build with them. You'll understand tokens, embeddings, attention and the transformer architecture, then build real applications using LLM APIs in Python — prompting, embeddings, retrieval-augmented generation (RAG) and an introduction to fine-tuning. Classes are live in small batches of 5–8 with a mentor, group plans start at ₹1,499/month, and a free demo comes first.
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What You'll Learn
Understand & Build with LLMs
From transformers to shipping a real LLM-powered app.
How LLMs Work
Tokens, embeddings, attention and transformers — a clear mental model of what GPT-style models really do.
Build with LLM APIs
Call LLM APIs from Python, structure prompts, and wire models into real applications.
RAG & Fine-Tuning
Ground LLMs in your own data with retrieval-augmented generation, and understand when and how fine-tuning helps.
The Roadmap
The LLM Roadmap
Four stages from understanding to a working LLM app.
Transformers
Tokens, embeddings and attention — how LLMs represent and process language.
Build with APIs
Use LLM APIs in Python to generate, summarise and reason.
RAG
Add retrieval so the model answers from your own documents.
App & Fine-Tune
Ship an LLM-powered app and explore fine-tuning.
What's Next
Go Further With LLMs
Tracks that pair with LLM skills.
Why This Course
Why LLM Skills Are the Hottest in Tech
LLMs have created an entirely new category of jobs — and companies are scrambling for people who can build real products with them, not just chat in a browser. Understanding how they work and how to engineer with them is one of the most valuable skills you can have right now.
Beyond using ChatGPT
Anyone can type into a chatbot. The career skill is building applications — RAG systems, assistants, tools — on top of LLM APIs, and knowing the architecture well enough to make good engineering choices. That's what we teach.
Part of the generative-AI stack
This connects directly to prompt engineering, AI agents and generative AI — together they're the modern AI-product toolkit.
Simple Pricing
Course Fees
Transparent monthly plans, no hidden charges. Start with a free demo.
Group Batch
- 5–8 learners per batch
- Live LLM building
- Recorded class access
- Completion certificate
Mini Batch
- Only 3–4 learners per batch
- More personal mentoring
- Recorded class access
- Project guidance & certificate
1-on-1 Personal
- Dedicated personal mentor
- Custom pace & schedule
- Recorded class access
- Priority project & career prep
Learner Voices
What Learners Say
"Built a RAG chatbot over my own documents. Understanding transformers made every design choice clearer."
"This took me from 'ChatGPT user' to 'I can build LLM apps'. Huge for my career."
"Clear on attention and embeddings, and the hands-on API work was gold."
Build with the AI everyone's talking about
Book a free demo and build an LLM-powered app with a mentor before you spend a rupee.
Book a Free DemoGood To Know
Frequently Asked Questions
It covers How LLMs Work, Build with LLM APIs, RAG & Fine-Tuning. Understand the AI everyone's talking about — and build with it. Learn how large language models like GPT actually work (tokens, embeddings, attention, transformers), then build real applications using LLM APIs, embeddings and RAG in Python. Live, hands-on, mentor-led.
It's designed for college students, working professionals and serious teens who want practical, job-ready AI and machine-learning skills. After the free demo we place you at the right level for your background.
No heavy prerequisites — we start from the right point for you and build up. Some Python helps for the more advanced topics, and if you're new we cover what you need. The free demo lets us assess your level first.
Yes. Every topic is hands-on in Python/Colab and you build real, mentor-reviewed work — not just theory — so you finish with practical skill and something to show.
Group classes start at ₹1,499 per month for 2 classes a week. A Mini Batch of 3–4 students is ₹2,499 per month, and 1-on-1 mentoring is ₹4,999 per month. A free demo class is available first.
Yes. Classes are live in small batches of 5–8 with a mentor who reviews your work, and every session is recorded so you can revise anytime. It's real-time teaching, not pre-recorded videos.