
Trace the history of GPT models from GPT-1 to GPT-5, highlighting generative pre-trained transformers, transformer architecture, self-attention, ChatGPT, APIs, fine-tuning, and multimodal capabilities.
Discover the transformer architecture, including input and positional embeddings, encoder and decoder layers, and self-attention with multi-head attention and feedforward networks; learn how GPT uses decoder-only transformers and masked attention.
Fine-tuning retrains a pre-trained model on domain data, encoding knowledge in its parameters. It contrasts with RAG, which uses external documents and retrieval.
Explore how lang chain connects llms with documents, vector stores, memory, and external tools to build chatbots that remember conversations and retrieve relevant information.
Learn to build a beginner-friendly chatbot that turns pdf notes into chunks, creates embeddings, stores them in a vector database, and uses semantic search with retrieval augmented generation.
Learn how to obtain an OpenAI API key by signing up, navigate to API keys, and choose a model like GPT-3.5 turbo while reviewing billing.
Discover how to build chatbots by chaining document chunks with stuff, map, reduce, and refine techniques, and migrate from deprecated run to create stuff documents chain with custom prompts.
Do you want to go from knowing nothing about AI to building your own working chatbot — all in one course?
You’re in the right place.
I’m Jenny (Jayanti Khatri Lamba) founder of Jenny’s Lectures, one of the most trusted learning platforms for Computer Science and Programming.
Over the years, I’ve helped millions of learners across the world build strong foundations in coding, data structures, algorithms through my YouTube channel and online courses.
In this course, we’re going to break the myth that Generative AI is difficult or only for experts.
Together, we’ll make it simple, practical, and exciting — so that anyone, even without an AI background, can start using and building with Generative AI confidently.
I truly believe the best way to learn is by doing, and that’s exactly how this course is designed.
In this hands-on, beginner-friendly course, you’ll start from first principles — what is AI, ML, DL, GenAI, and LLMs — and then step by step we’ll dive into the inner workings of modern language models: tokenization, embeddings, transformer architecture.
After building that solid foundation, we’ll move into real, usable tools: RAG (Retrieval-Augmented Generation), fine-tuning, and LangChain. Finally, you’ll combine all your learning to create a full chatbot that you can test, demonstrate, and expand.
By the end, you’ll not only understand how generative AI works — you’ll be able to build you own chatbot.
While having some basic python programming knowledge can help, no prior experience with AI or ML is required. Everything is explained step by step, from the ground up.
So — are you ready to take your first step into the world of Generative AI?
Are you ready to learn, build, and create with AI — with me, right here?
Let’s get started — and make learning AI simple, practical, and fun!