From the course: Creating Agents with Python and the AI Toolkit for Visual Studio Code
Join today to access over 25,200 courses taught by industry experts.
Next steps on your learning journey
From the course: Creating Agents with Python and the AI Toolkit for Visual Studio Code
Next steps on your learning journey
Now that you've built, tested, and evaluated your AI agent, you have a solid foundation in place. But here's the thing, AI agent development is evolving fast, and what you've learned in this course is just the start. In this final chapter, we're going to discuss how to keep the momentum going and how to continue growing your skills. First, keep experimenting. Try building new types of agents, maybe ones that connect to real-time APIs, or another that uses multiple tools to complete a more complex task. A big part of learning in this space is curiosity. Change the system prompt, add a new tool, trace your runs, and look at what actually happened behind the scenes. Every iteration teaches you something new about reasoning, reliability, and design. Next, dive deeper into the AI toolkit for Visual Studio Code. You've already seen how it can help you chat with models, instrument traces, and evaluate results, but there's so much more to explore. Use the Playground to prototype ideas…
Practice while you learn with exercise files
Download the files the instructor uses to teach the course. Follow along and learn by watching, listening and practicing.
Download courses and learn on the go
Watch courses on your mobile device without an internet connection. Download courses using your iOS or Android LinkedIn Learning app.