Generative AI: Prompt Engineer
Learn the core concepts of generative AI, master prompt engineering, and understand how to build and evaluate AI-powered applications.
Sessions
Intro Generative AI & LLMs
After this session, you'll be able to explain what Generative AI and LLMs are, and how they 'learn' to create new content.
5 min
Prompt Engineering Techniques
After this session, you'll be able to explain key prompt engineering techniques and apply them to get better results from LLMs.
5 min
RAG & LLM Hallucinations
After this session, you'll be able to explain what RAG is, why it's needed, and how it helps LLMs provide factual and up-to-date information.
5 min
Generative AI: Fine-Tuning
After this session, you'll be able to differentiate fine-tuning from prompt engineering and RAG, and understand when to use it for deep AI customization.
5 min
Build Your First AI App
After this session, you'll be able to outline the basic components and steps for creating a simple AI-powered application.
5 min
AI Eval & Ethics
After this session, you'll be able to describe basic methods for evaluating AI performance and identify key ethical considerations.
5 min
What you'll achieve
Understand the fundamental capabilities and limitations of Large Language Models (LLMs).
Apply effective prompt engineering techniques to guide LLM behavior.
Explain the purpose and mechanism of Retrieval Augmented Generation (RAG).
Differentiate between prompt engineering, RAG, and fine-tuning for customizing LLMs.
Identify basic methods for evaluating the performance and ethical considerations of AI systems.
Outline the steps involved in building a simple AI-powered application.