Learn practical techniques for crafting effective prompts and building applications powered by Large Language Models. This course covers prompt design principles, advanced prompting strategies, interacting with LLM APIs, and integrating models into functional applications using common frameworks. Gain the skills to develop reliable and sophisticated AI-driven software.
Prerequisites Basic Python helpful
Level:
Prompt Design
Construct effective prompts to guide LLM behavior and achieve desired outputs.
Advanced Prompting
Implement techniques like few-shot prompting, chain-of-thought, and instruction following.
LLM API Interaction
Integrate LLMs into applications by making API calls and handling responses.
LLM Frameworks
Utilize frameworks such as LangChain or LlamaIndex to structure LLM application development.
Output Management
Parse and validate LLM outputs to ensure application reliability.
Basic RAG
Implement simple Retrieval Augmented Generation patterns to connect LLMs with external data.
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