AI-Assisted Coding: Boosting Developer Productivity and Efficiency (AIAC101)

AI-Assisted Coding: Boosting Developer Productivity and Efficiency is a course designed to improve your team's coding skills with cutting-edge AI technology. This course introduces you to the potential of artificial intelligence, specifically focusing on large language models like ChatGPT, which are transforming the developer landscape. You'll discover how these tools empower developers to streamline workflows and enhance their code development process effectively.

Our journey begins with an Overview of Artificial Intelligence and Large Language Models, where you'll gain insights into the challenges and risks associated with large language models. Learn about ChatGPT's various use cases and its role in assisting developers to write code efficiently. You’ll also explore how to prepare a ChatGPT thread and familiarize yourself with the course’s objectives through engaging exercises to get you started.

Next, we explore AI-Assisted HTML, a hands-on lesson where you'll create the foundational elements of an HTML page. Engage in exercises like creating tables, nested lists, and forms. Discover how ChatGPT can help generate and analyze images, offering a unique approach to design. This lesson also includes an optional exercise for additional practice and a session on debugging HTML structures.

Moving forward, our focus shifts to AI-Assisted CSS. Here, you’ll learn to build a basic CSS file and create responsive layouts. Practical exercises will guide you through crafting CSS animations, optimizing styles, and commenting effectively using ChatGPT as a helpful tool.

In the realm of AI-Assisted JavaScript and JSON, you’ll engage in exercises to write and enhance JavaScript functions, validate forms, and utilize APIs. Through these activities, you’ll understand how AI can refine your coding practices, ensuring efficiency and precision.

The course continues with AI-Assisted XML, where you’ll learn to generate and validate XML files, and transform them using XSLT. This lesson is packed with exercises that offer practical experience in dealing with XML content.

Our exploration of coding enhancement with AI extends to AI-Assisted SQL. Practical exercises will focus on creating, optimizing, and debugging SQL queries.

Lastly, we introduce you to AI-Assisted Python. Through hands-on exercises, you'll write and optimize Python functions, debug code effectively, and work with APIs. The course also covers scripting with file input/output, providing a comprehensive toolkit for Python developers.

By the end of this course, you'll have the knowledge to leverage AI tools to increase your coding productivity and efficiency. This course prepares your team to tackle more advanced coding challenges with AI as a valuable ally, enhancing your development capabilities significantly.