This comprehensive masterclass takes you on a transformative journey into the realm of LangChain and Large Language Models, equipping you with the skills to build autonomous AI tools.
Starting with the basics, you'll set up your development environment, including OpenAI API and Python, and progress to advanced topics like LangChain's architecture, prompt templates, and parsers. The course meticulously guides you through creating complex chains, memory models, and agents, culminating in the development of practical applications such as PDF extractors, newsletter generators, and multi-document chatbots. With hands-on tutorials, you'll learn to leverage LangChain for tasks ranging from document loading and splitting to embedding vector stores for semantic similarity searches.
By the end, you'll have the knowledge to implement AI in creative and impactful ways, from image-to-text conversion to building interactive chatbots and more, all while navigating the ethical considerations of AI deployment.
Configure OpenAI API and Python for AI development
Create and manipulate LangChain prompt templates and parsers
Implement LangChain memory models and chains for complex AI applications
Develop real-world applications, including newsletter generators and chatbots
Work with LangChain embeddings and vector stores for semantic searches
Navigate the ethical and copyright implications of AI-generated content
While specific knowledge of Python is not necessary, familiarity with programming concepts is essential.