Vector Databases: From Embeddings to Applications

Fundamentals of Retrieval-Augmented Generation with LangChain

Fundamentals of Retrieval-Augmented Generation with LangChain

Explore this beginner RAG course to learn the basics of retrieval-augmented generation. For hands-on practice, build RAG pipelines using LangChain and create user-friendly applications with Streamlit.

Responsible AI: Principles and Practices

Responsible AI: Principles and Practices

Learn how to master responsible AI. Learn fairness, bias mitigation, explainable AI, and data privacy to design ethical AI systems. Future-proof your skills in trustworthy AI practices.

Grokking the Machine Learning System Design Interview

Grokking the Machine Learning System Design Interview

Gain insights into designing robust machine learning systems. Delve into key concepts, methodologies, and best practices to build efficient, scalable, and reliable ML solutions.

Machine Learning Handbook

Machine Learning Handbook

Gain insights into ML fundamentals, explore Python libraries, and delve into real-world applications like Tesla and ChatGPT. Discover traditional vs. deep learning for data-driven decision-making.

Generative AI: From Theory to Product Launch

Generative AI: From Theory to Product Launch

Lead the GenAI revolution, future-proof your skills by exploring generative models, transformer networks, and state-of-the-art applications in text, image, and video generation.

Essentials of Large Language Models: A Beginner’s Journey

Essentials of Large Language Models: A Beginner’s Journey

Learn how large language models work, from inference and training to prompting, embeddings, and RAG. Build practical skills to apply LLMs effectively in real-world language applications.