LLMs Architecture and LangChain Interactions
About This Course
This module focuses on large language models (LLMs) and their practical applications. Learners will develop a thorough understanding of LLM architecture and training methodologies, while learning to identify relevant use cases across various domains. The course emphasizes prompt engineering skills, teaching techniques such as zero-shot, few-shot, and chain-of-thought prompting to effectively communicate with AI systems. Additionally, learners will gain hands-on experience building LangChain applications by integrating key components including Chains, Agents, Memory, and Tools to create functional AI systems that can solve real-world problems.
What You'll Learn
1. Learners will be able to describe the architecture and training processes of large language models and identify their practical use cases.
2. Learners will be able to design effective prompts using various engineering techniques such as zero-shot, few-shot, and chain-of-thought prompting.
3. Learners will be able to build simple LangChain applications by integrating Chains, Agents, Memory, and Tools for real-world AI interactions.
Entry Requirements
Age:21 years old and above
Language: Obtained at least Grade C6 in GCE 'O' Level English Language, or
Be able to listen, speak, read and write English at a proficiency level equivalent to WSQ Workplace Literacy (WPLN) Level 5.
Academic:
- At least 3 GCE ‘O’ Level Passes including English Language with C6 pass or Higher Nitec or Equivalent
- Must have basic computer literacy skills