A live generative AI and LLM course for students who can already code in Python. You learn how large language models work, use LLM APIs and Hugging Face, and build document Q&A with RAG. Small batches, Hinglish classes and mentor review.
At a glance
Tools
Who it's for
Before you start
Outcomes
Real skills you can show — every project goes on your GitHub.
Syllabus
Each module has a clear goal, live classes, a lab session and practice you push to GitHub. Your mentor reviews it and tells you exactly how to improve.
Module 1
Explain what an LLM is, what it can do and where it goes wrong.
Practice: Experiment with one model and log where it fails
Module 2
Call hosted models safely from Python code.
PythonLLM APIs
Practice: Command-line assistant with a chosen provider
Module 3
Run and compare pre-trained open models.
Hugging Face TransformersGoogle Colab
Practice: Summariser using an open model
Module 4
Search documents by meaning instead of by keyword.
FAISSChroma
Practice: Semantic search over a folder of notes
Module 5
Build a question-answering app that answers from your own documents.
LangChainLlamaIndexChroma
Practice: Document search chatbot
Module 6
Let a model call functions and see where agents help and where they are risky.
LLM APIsLangChain
Practice: Assistant that calls a weather or calculator function
Module 7
Know when fine-tuning helps and how efficient methods work.
Hugging Face PEFTGoogle Colab
Practice: Fine-tune a small model on a small dataset
Module 8
Ship a project with checks for quality, bias and privacy.
StreamlitGitGitHub
Practice: Document search chatbot · Personalised tutor · Text-to-code assistant
Projects
Pick one, plan it like a real team with tickets, build it, and present it. It becomes the centrepiece of your portfolio.
Answer questions from your own PDFs with RAG, show the source passage, and say when it does not know.
A study helper for one subject that explains step by step and quizzes the student, with clear limits.
Turn short requests into code snippets, run tests on the output, and flag unsafe results.
Opening soon
This specialisation isn't scheduled yet. Join the waitlist and we'll tell you first when a batch opens. We open the courses with the most interest first.
Where it can lead
Roles this skill helps you towards
No course can guarantee a job. We help you build real skills, real projects and a portfolio you can show.
FAQ
The batch is not scheduled yet. Join the waitlist and we will tell you first when dates are fixed.
Some providers have free tiers, and we use open models on Colab where we can. Free tiers change often, so we will tell you exactly what is needed before the batch.
Not required. Strong Python and APIs matter more. We explain the model ideas we need as we go.
No. Prompt engineering is about writing good instructions. This course is about building applications with code, such as RAG and tool calling.
We are not tied to one vendor. You use OpenAI, Google Gemini and Anthropic Claude style APIs, plus open models, so you can switch later.
Yes, a laptop or desktop with internet. Phones and Android tablets are not enough for coding.
Keep going
A live prompt engineering course for anyone who wants better results from AI tools. The first modules need no coding. Later modules add APIs and tool calling for those who know basic Python. Small batches, Hinglish classes and mentor feedback on every assignment.
A live NLP course with Python for students who know the basics of programming and machine learning. You go from cleaning text to classic models, embeddings and transformers with Hugging Face. Small batches, Hinglish classes and a mentor who reviews your work.
A live deep learning course for students who know Python and basic machine learning. You build neural networks from the idea up, then use both PyTorch and TensorFlow/Keras for images and sequences. Small batches, Hinglish classes and mentor review on every assignment.
This Python course takes you from your very first line of code to useful programs, games, scripts and data tools. Classes are live, in small batches of up to 30, taught in Hinglish, and a mentor reviews every assignment you push to GitHub. Python is taught inside our Starter and Builder programs.
Baking your code to give you a pie
Join a live demo class, meet the mentor and see how a CodeBakerz batch works. No payment, no pressure — decide after.
