Have immersive learning on LangChain, tailored for developers and practitioners passionate about exploring the possibilities of generative AI. In this hands-on learning opportunity, you will embark on a transformative journey, creating LLM-powered applications with LangChain spanning various industry domains. Discover how to build and deploy generative AI-powered agents capable of tackling real-world scenarios. Dive into leveraging company-specific data to develop custom applications like chatbots and web agents, enabling seamless interactions with websites and delivering pertinent information. Through practical examples and step-by-step guidance, unlock LangChain’s potential to revolutionize industries with innovative, intelligent, and personalized applications.
- Gain a comprehensive understanding of generative AI and its applications across various industry domains.
- Learn how to build and deploy generative AI-powered agents using LangChain, enabling seamless interactions with customers and enhancing user experiences.
- Acquire the skills to leverage company-specific data and develop custom generative AI applications, such as chatbots and web agents, tailored to specific business needs.
- Explore hands-on examples to apply LangChain’s capabilities, enabling the creation of innovative, intelligent, and personalized generative AI applications.
- Introduction to Generative AI
- Fundamentals of Generative AI
- Applications of generative AI in various industries
- Capabilities and implementation limitations
- Understanding Large Language Models (LLMs)
- Introduction to LLMs and their Significance in Generative AI
- Training and fine-tuning LLMs for specific tasks
- Capabilities for industries and implementation limitations
- Overview of LangChain
- What is LangChain?
- Features and capabilities of LangChain
- Understanding the chain, agent, and memory functionalities
- Industry use cases of LangChain and other alternatives
- Hands-on: Building Generative AI Agents
- Creating and customizing generative AI agents with LangChain
- Developing conversational agents on your own data
- Techniques for generating personalized responses
- Hands-on: Deploying Generative AI Applications:
- Deployment process for generative AI applications powered by LangChain
- Exploring deployment options and considerations
- Basic knowledge of Python and object-oriented programming
- Knowledge and familiarity with AI concepts