Develop Generative AI Applications: Get Started

From prompts to applications

The course starts with prompt engineering, covering in-context learning and chain-of-thought reasoning, and shows how to build and manage reusable prompt templates. It then moves to LangChain, where chains, tools and agents are used to make applications more responsive.

Practical focus

• Handling common errors in LLM calls
• Comparing different language models and their configuration settings
• Working with structured JSON output and model evaluation

Who it suits

Developers who can already write some code and want to build a working GenAI application will find the progression logical. It is pitched at intermediate learners, so basic programming comfort is a sensible prerequisite.

Reading the course description

The listed skills point to a hands-on, application-building focus, so the course is best approached by trying the techniques on a small project of your own as you go.