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

AI-Assisted Coding: Boosting Developer Productivity and Efficiency is a hands-on course for developers and technical teams who want to integrate AI tools like ChatGPT into their everyday coding workflows. Participants learn how to use large language models to write, debug, optimize, and explain code more efficiently while understanding the capabilities, limitations, and responsible use of AI in software development.

Through practical, guided exercises, learners apply AI-assisted techniques across HTML, CSS, JavaScript, SQL, XML, and Python, focusing on real-world tasks such as refactoring, data handling, automation, and problem solving. This course is ideal for organizations and individuals seeking to improve developer productivity, code quality, and confidence using modern AI-assisted development tools.

Don’t worry if you are not familiar with all the languages covered in this course. In fact, experimenting with ChatGPT in languages you are both familiar and unfamiliar with can be extremely beneficial. By doing so, you will gain insights into how much more effective you can be when using ChatGPT in a language you already know well, as compared to one that is new to you. This approach will help you identify areas where AI can complement your existing skills and where it can serve as a valuable learning tool.

1. Overview of Artificial Intelligence and Large Language Models
   1. Overview of Artificial Intelligence and Large Language Models
   2. Large Language Models: Challenges and Risks
   3. ChatGPT Overview and Use Cases
   4. How ChatGPT Helps Developers Write Code
   5. Prepping a ChatGPT Thread
   6. What to Expect in the Course
   7. Getting Started with ChatGPT (Exercise)
2. Ai Assisted HTML
   1. Creating the Shell of an HTML Page (Exercise)
   2. Creating a Table (Exercise)
   3. Creating a Nested List (Exercise)
   4. Generating Images with ChatGPT
   5. Creating a Series of Images (Exercise)
   6. Creating a Form (Exercise)
   7. Debugging a Poorly Structured HTML Page (Exercise)
   8. ChatGPT Can Analyze Images
   9. Recommended Practice (Exercise)
3. AI-Assisted CSS
   1. Creating a Basic CSS File (Exercise)
   2. Creating a Responsive Layout (Exercise)
   3. Creating CSS Animations (Exercise)
   4. Optimizing CSS with ChatGPT
   5. Optimizing and Commenting CSS (Exercise)
   6. Recommended Practice (Exercise)
4. AI-Assisted JavaScript and JSON
   1. Creating a JavaScript Module (Exercise)
   2. Improving JavaScript Code (Exercise)
   3. Validating a Form (Exercise)
   4. Making Use of an API (Exercise)
   5. Recommended Practice (Exercise)
5. AI-Assisted XML
   1. Generating a Simple XML File (Exercise)
   2. Validating an XML File (Exercise)
   3. Transforming XML with XSLT (Exercise)
   4. Converting XML to JSON (Exercise)
   5. Recommended Practice (Exercise)
6. AI-Assisted SQL
   1. Analyzing SQL Scripts and Entity Relationship Diagrams (Exercise)
   2. Converting Natural Language Requirements into SQL (Exercise)
   3. Recreating SQL Reports (Exercise)
   4. Explaining Query Execution Plans (Exercise)
   5. Recommended Practice (Exercise)
7. AI-Assisted Python
   1. Setting Up and Using Google Colab
   2. Writing a Python Module (Exercise)
   3. Debugging and Optimizing Python (Exercise)
   4. Making Use of an API (Exercise)
   5. Creating a Python Script with File I/O (Exercise)
   6. Recommended Practice (Exercise)

Each student receives a comprehensive set of materials, including course notes and all class examples.

Experience in the following is required for this AI class:

Experience in the following would be useful for this AI class: