LangChain for Python: Building LLM Applications
DESCRIPTION
Embark on a transformative journey into the realm of natural language processing and artificial intelligence with our beginner-friendly course, “LongChain for Python: Building LLM Applications” This comprehensive program begins with a Python crash course, providing participants with the fundamental skills needed to delve into the world of programming and AI development. Led by industry experts Harrison Chase, the creator of LangChain, and renowned AI researcher Andrew Ng, this course introduces participants to the LangChain framework, empowering them to harness the power of language models for application development.
Throughout this course, participants will explore essential topics such as models, prompts, and parsers, gaining hands-on experience in calling language models, managing memories, and constructing chains of operations. By the course’s end, participants will not only have a solid understanding of LangChain’s capabilities but also possess the skills to develop their own intelligent applications, paving the way for exciting opportunities in the ever-evolving field of artificial intelligence..
- Beginner-friendly course with no programming experience needed; includes Python basics.
- MODULE 1: PYTHON CRASH COURSE
- MODULE 2: INTRODUCTION TO LANGCHAIN FOR LLM APPLICATION DEVELOPMENT
- MODULE 3: MODELS, PROMPTS, AND PARSERS
- MODULE 4: MEMORIES FOR LLMS
- MODULE 5: CHAINS: SEQUENCES OF OPERATIONS
- MODULE 6: QUESTION ANSWERING OVER DOCUMENTS
- MODULE 7: AGENTS: LLMS AS REASONING AGENTS
- MODULE 8: CHALLENGES AND SOLUTIONS
Course Fee: (per PAX)
(Physical Classroom)
Course Fee: (per PAX)
(Virtual Classroom)
RM 2,000
RM 1,400
Buying for yourself?
Write to us in the form below, we will contact you to discuss how best to fit your schedule.
Buying for a Team?
Write to us in the form below, we would be happy to talk to you about a group DISCOUNT.
Course Features
- Lectures 0
- Quizzes 0
- Duration 2 days
- Skill level Beginner
- Language English
- Students 0
- Assessments Self