Learn GenAI By Doing -Build ChatBot With Prompts, RAG and Memory

Categories: Featured, Generative AI, LLM
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About Course

This course is meticulously designed to delve into the practical aspects of Generative AI and NLP through hands-on real-time project. Each session seamlessly integrates theory with practical exercises, ensuring a holistic learning experience. Throughout the course, you’ll explore essential NLP concepts, various models including LLM open-source models, and implementation of ChatBot using OpenAI. Additionally, you’ll delve into advanced techniques such as RAG, Prompt Engineering, Fine-Tuning, API development, testing, and Streamlit deployment. Gain a comprehensive understanding of these emerging technologies and their applications in the real world.

Why choose this course? 

Tailored Learning: Designed for all levels, this course simplifies complex topics for beginners while offering valuable insights for those with prior knowledge.

Hands-On Experience: Engage in practical exercises, like building your own Generative AI chatbot, to gain real-world skills applicable across industries.

Industry-Relevant Content: Explore how Generative AI impacts various sectors through real-world case studies, staying updated on current trends.

Expert Guidance: Benefit from the instructor’s deep expertise in AI and Generative AI, receiving personalized guidance throughout the course.

Ethical Focus: Delve into the ethical considerations of AI and anticipate future trends, empowering responsible decision-making.

Continuous Support: Enjoy lifetime query support, ensuring prompt assistance whenever needed, even after course completion.

Pre-requisites: 

You should have basic knowledge of Python.

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What Will You Learn?

  • Gain proficiency in fundamental NLP and LLM concepts
  • Implement LLM with APIs effectively
  • Master advanced techniques like RAG and Prompt engineering
  • Develop and test APIs for AI applications
  • Understand cloud deployment strategies for AI solutions

Course Content

Week 1: Foundations of Generative AI — From NLP Basics to GPT Models
Kickstart your GenAI journey with a deep dive into Natural Language Processing (NLP) fundamentals, the evolution of language models, and how GPT models revolutionized the space. You’ll explore key concepts like tokenization, embeddings, and transformer architecture, along with the timeline of Generative AI development. We’ll also walk through the project you’ll build in this bootcamp — giving you a clear map of where you’re headed.

Week 2: Exploring LLMs — Architecture, Prompting, and Real-World APIs
Understand how Large Language Models (LLMs) are built and categorized. This week, we’ll break down the architecture of LLMs, explore different types (decoder-only, encoder-decoder), and dive into the art and science of Prompt Engineering. You’ll also get hands-on with popular pre-trained models like OpenAI’s GPT, Cohere, Claude, and open-source options — learning how to integrate them using their APIs.

Week 3: Beyond Chat — RAG, Memory, and LLM Orchestration Tools
This week, we will go beyond simple chatbots by learning how to build intelligent systems that retrieve and reason. You'll explore Retrieval-Augmented Generation (RAG) to enable knowledge-grounded responses, implement memory for personalized interactions, and get introduced to powerful orchestration tools like LangChain that help manage complex, multi-step LLM workflows.

Week 4: Build Your First GenAI Chatbot — A Health & Wellness Coach with LangChain
It’s time to apply everything you've learned! This week, you’ll build a fully functional Health & Wellness Coach Bot using LangChain. From designing prompts and integrating memory to retrieving user-specific wellness advice through RAG, this hands-on project will tie together all major GenAI components in a practical, beginner-friendly chatbot.

Week 5: Deploying Your GenAI Chatbot — Streamlit for a Smooth User Interface
In the final week, you’ll learn how to turn your LangChain-powered chatbot into a real, shareable web app using Streamlit. We’ll guide you step-by-step through building a clean UI, integrating your LLM backend, and deploying your chatbot for others to use — so you can showcase your GenAI skills with confidence.

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Email: letthedataconfess@gmail.com
Address: Rajni Vihar, Heerapura, Jaipur, 302021
Contact No: 91-8005613647

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