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

Unlock the potential of Generative AI with our comprehensive course, "Gen AI Masters 2025 - From Python To LL Ms 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 LL Ms. 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 Num Py.Natural Language Processing (NLP): Dive into the world of NLP, mastering techniques for text processing, feature extraction, and leveraging powerful libraries like NLTK and Spa Cy.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 (LL Ms): Gain insights into LL Ms, 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 (RA Gs): 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, BAR Score, and BERT Score.Prompt Engineering</str