AI Coding Essentials
Discover how to leverage AI tools to enhance coding efficiency, automate repetitive tasks, and unlock innovative development workflows in this hands-on session.
What you will learn in this course
WHY THIS COURSE IS A GAMECHANGER: Without AI knowledge, developers use tools ineffectively. In this training, you’ll learn to apply AI to coding meaningfully and significantly boost your productivity.
ABOUT THIS COURSE: Learn how to integrate AI tools into your code projects and take your software development to the next level. With GitHub Copilot subscriptions provided and access to a powerful lab environment, we’ll show you how to efficiently incorporate AI models and tools, create automated workflows, learn about trends and automate testing to develop reliable and high-performance applications.
Agenda
AI in the Software Development Life Cycle (SDLC)
AI Tools & Ecosystem
Specification Centric Development
AI-Coding Input Design
AI-Coding Implications
Hands-On Labs
audience
This course is designed for
- Developers, coders, and IT professionals seeking to integrate AI into their coding practices for productivity and innovation.
prerequisites
To get most out of this course, you should have:
- The lab instructions provided as part of the course will cover and explain everything. However, it would be beneficial to have a basic understanding of programming and to be familiar with Python and Git.
style
Our trainers have years of experience and will deliver the right mix of:
- Theoretical explanations, live demonstrations, interactive and guided hands-on activities, and Q&A sessions.
Technical requirements
We recommend the following equipment:
- Stable internet connection
- Access to AI tools and services (e.g., OpenRouter, Groq, OpenAI API) (Free accounts may need to be created)
- Browser compatible with modern web applications (e.g., Chrome)
- If you're eager to try out demonstrated tools on your own: Code editor (e.g., VS Code) with sufficient hardware (GPU) and a Python installation

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