LangChain Co-founder And Deep Learning AI Founder have announced a new LangChain for LLM Application Development course. In this free course, you will master essential skills in expanding the use cases and capabilities of language models.
Throughout the course, you will dive deep into the following key topics:
- Models, Prompts, and Parsers: Learn how to call LLMs, provide prompts, and effectively parse the responses.
- Memories for LLMs: Explore using memories to store conversations and efficiently manage limited context space.
- Chains: Unleash the power of creating sequences of operations, empowering your applications with seamless functionality.
- Question Answering over Documents: Apply LLMs to your proprietary data and leverage their capabilities to meet your specific use case requirements
- Agents: Delve into the exciting realm of LLM as reasoning agents, harnessing their potential for advanced application development.
By the end of the course, you will have a solid foundation in using LLM models for your own applications. This newfound knowledge will serve as a launching pad for your exploration of generative AI, enabling you to build robust applications in a matter of hours.
Who Should Join This Course?
Whether you are a budding developer or an experienced professional, the LangChain for LLM Application Development course is designed to accommodate learners of all levels. While basic Python knowledge will be advantageous, beginners are welcome to join and embark on this exciting learning journey.