Mastering Generative AI: LLM Apps, LangChain, RAG & Chatbots

Master Generative AI with hands-on LLMs, ChatGPT, LangChain, RAG, and real-world projects.

Unlock the potential of Generative AI with our comprehensive course, "Gen AI Masters 2025 - From Python To LLMs and Deployment" This course is designed for both beginners and seasoned developers looking to deepen their understanding of the rapidly evolving field of artificial intelligence.

Learn how to build Generative AI applications using Python and LLMs. Understand prompt engineering, explore vector databases like FAISS, and deploy real-world AI chatbots using RAG architecture.

In this course, you will explore a wide range of essential topics, including:

• Python Programming: Learn the fundamentals of Python, the go-to language for AI development, and become proficient in data manipulation using libraries like Pandas and NumPy.

• Natural Language Processing (NLP): Dive into the world of NLP, mastering techniques for text processing, feature extraction, and leveraging powerful libraries like NLTK and SpaCy.

• Deep Learning and Transformers: Understand the architecture of Transformer models, which are at the heart of many state-of-the-art AI applications. Discover the principles of deep learning and how to implement neural networks using TensorFlow and PyTorch.

• Large Language Models (LLMs): Gain insights into LLMs, their training, fine-tuning processes (including PEFT, LoRA, and QLoRA), and learn how to effectively use these models in various applications, from chatbots to content generation.

• Retrieval-Augmented Generation (RAGs): Explore the innovative concept of RAG, which combines retrieval techniques with generative models to enhance AI performance. You'll also learn about RAG evaluation methods, including the RAGAS framework, BLEU, ROUGE, BARScore, and BERTScore.

• Prompt Engineering: Master the art of crafting effective prompts to improve interactions with LLMs and optimize outputs for specific tasks.

• Vector Databases: Discover how to implement and utilize vector databases for storing and retrieving high-dimensional data, a crucial skill in managing AI-generated content.

The course culminates in a Capstone Project, where you will apply everything you've learned to solve a real-world problem using Generative AI techniques.

Projects List: 

• AI Career Coach: A personalized chatbot that guides users in career development and job search strategies using real-time data and insights.

• AI Powered Automated Claims Processing: An intelligent system that streamlines insurance claims by automating data extraction and decision-making processes.

• Chat Scholar Chatbot + Essay Grading System: An interactive chatbot that assists students with writing and provides AI-driven grading and feedback on essays.

• Research RAG Chatbot: A research assistant chatbot that retrieves relevant academic information and generates summaries based on user queries.

• Sustainability Chatbot (GROK AI): An eco-focused chatbot that educates users on sustainable practices and provides actionable tips for reducing their carbon footprint.

If you have a specific project idea in mind, feel free to share it, and we will do our best to bring your vision to life.

By the end of this course, you will have a solid foundation in Generative AI and the skills to implement complex AI solutions. Whether you're looking to enhance your career, transition into AI development, or simply explore this fascinating field, this course is your gateway to mastering Generative AI.

Enroll now and take the first step toward becoming an expert in Generative AI!