This LangChain for Generative AI course equips you with the skills to build and deploy reasoning-driven applications using large language models. Begin with the foundations—understand the background, key concepts, and architecture of the LangChain framework, including components like memory, chains, prompts, and text embedding models. Progress to hands-on application—learn how to design and integrate generative workflows using LangChain, explore system requirements and privacy features, and build real-world pipelines with models like Hugging Face’s Flan T5 XXL. Discover industrial use cases from platforms like Beautiful.ai and Bardeen.ai.

To be successful in this course, you should have a basic understanding of Python, APIs, and foundational language model concepts. By the end of this course, you will be able to: - Understand LangChain fundamentals and reasoning-based architecture - Build GenAI pipelines using memory, prompts, and chains - Apply LangChain in real-world workflows and integrations - Deploy secure, scalable GenAI applications using LangChain Ideal for developers, AI engineers, and data professionals building with large language models.