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

AI-Assisted Coding: Boosting Developer Productivity and Efficiency is a comprehensive course designed for training companies and trainers who aim to deliver cutting-edge technical education. This course equips your learners with the skills needed to harness the power of artificial intelligence, with a focus on large language models like ChatGPT, to revolutionize coding workflows and boost efficiency in software development.

The course begins with an Overview of Artificial Intelligence and Large Language Models, providing insights into the capabilities, challenges, and risks of these transformative technologies. Learners will explore how ChatGPT supports developers in writing and optimizing code and will engage in practical exercises to prepare for using these tools effectively.

The next module focuses on AI-Assisted HTML, offering a hands-on approach to foundational web development tasks. Learners will create HTML page structures, tables, nested lists, and forms, with guidance on debugging and optimizing code. The module also explores ChatGPT’s ability to assist in generating and analyzing images, adding a creative dimension to development.

In AI-Assisted CSS, learners will create and optimize CSS files, design responsive layouts, and implement animations, all while leveraging ChatGPT for guidance and efficiency. Exercises will emphasize practical skills such as commenting and refining CSS for maintainability.

The AI-Assisted JavaScript and JSON module introduces learners to writing JavaScript functions, validating forms, and integrating APIs. Practical exercises will highlight how ChatGPT can assist in debugging and enhancing code quality, ensuring learners gain confidence in their skills.

The course also covers AI-Assisted XML, providing hands-on training in generating and validating XML files, transforming XML using XSLT, and converting XML to JSON. These skills prepare learners to work with structured data formats efficiently.

With AI-Assisted SQL, learners will explore how to analyze and optimize SQL queries, recreate reports, and explain query execution plans. Exercises focus on translating natural language requirements into SQL, enhancing problem-solving capabilities.

The course concludes with AI-Assisted Python, where learners will gain proficiency in writing, debugging, and optimizing Python code. They will also practice using APIs and creating scripts with file input/output to develop robust, scalable solutions.

This course provides training companies with a valuable curriculum to empower developers with AI-assisted coding techniques. It’s an ideal program for trainers looking to deliver impactful, hands-on learning experiences that enhance developer productivity and prepare participants to meet the demands of modern software development.