Master the skills to build Generative AI applications using LangChain in this comprehensive course. Gain practical experience through end-to-end projects and a deep understanding of LangChain’s underlying concepts.
- LangChain Proficiency:
- Become highly skilled in using LangChain to build AI-powered applications.
- Develop 3 end-to-end LangChain-based generative AI applications.
- Prompt Engineering Fundamentals:
- Understand advanced techniques like Chain of Thought, ReAct, and Few-Shot Prompting.
- Gain insights into LangChain’s internal architecture.
- Open-Source Code Navigation:
- Learn how to explore and understand the LangChain open-source codebase effectively.
- Large Language Model (LLM) Theory for Developers:
- Build a strong theoretical foundation tailored for software engineers working with LLMs.
- LangChain Features:
- Explore key LangChain components, including Chains, Agents, DocumentLoader, TextSplitter, OutputParser, and Memory.
- Retrieval-Augmented Generation (RAG):
- Understand and implement RAG techniques using vector databases such as Pinecone and FAISS.
Course Features
- 9.5 hours of on-demand video
- 1 article
- 19 downloadable resources
- Access on mobile and TV
- Certificate of completion
This course is ideal for:
- Software Engineers: Learn to build cutting-edge generative AI applications using LangChain.
- Developers: Explore advanced techniques to enhance your generative AI projects.
- Engineers: Build scalable and innovative generative AI-based solutions with LangChain.
By the end of this course, you’ll have hands-on experience with LangChain and the confidence to create sophisticated AI-powered applications.
