Description
Description
AI-Assisted Coding: Boosting Developer Productivity and Efficiency is a hands-on, future-focused course empowers learners to integrate AI—particularly large language models like ChatGPT—into their development workflows, driving speed, quality, and innovation in coding tasks.
Participants will gain practical skills in using AI tools to streamline code creation, optimize performance, debug more efficiently, and tackle common development challenges. From foundational web development to data transformation and scripting, this course offers comprehensive, real-world guidance on how AI is reshaping the software development landscape.
Training Objectives
- Deliver a forward-thinking curriculum that teaches developers to harness AI for enhanced coding efficiency
- Provide practical hands-on exercises in HTML
- CSS
- JavaScript
- SQL
- XML and Python—powered by ChatGPT
- Equip learners to solve real-world coding problems using AI-driven solutions
- Offer a structured engaging program that showcases the value of AI in modern software development
- Prepare participants to work smarter and faster using AI as a collaborative coding assistant
Course Outline
- 1. Introduction to AI and Large Language Models<br />
- What is AI and how are large language models used in development?<
- Understanding the strengths, risks, and limitations of LLMs<
- ChatGPT for developers: key use cases and setup<
- Prepping a ChatGPT session for coding tasks<
- Exercise: Getting started with ChatGPT<
- 2. AI-Assisted HTML<br />
- Building a basic HTML page structure<
- Creating tables, nested lists, and forms<
- Debugging poorly structured HTML with ChatGPT<
- Generating and analyzing images with ChatGPT<
- Exercises: Page structure, tables, forms, image generation<
- 3. AI-Assisted CSS<br />
- Writing clean, responsive, and animated CSS<
- Using ChatGPT to optimize, comment, and debug stylesheets<
- Exercises: Responsive layout, CSS animation, stylesheet optimization<
- 4. AI-Assisted JavaScript and JSON<br />
- Writing and improving JavaScript functions<
- Validating forms and working with APIs<
- Enhancing code readability and maintainability with AI support<
- Exercises: JavaScript modules, form validation, API integration<
- 5. AI-Assisted XML<br />
- Generating and validating XML files<
- Transforming XML with XSLT<
- Converting XML to JSON with AI assistance<
- Exercises: XML creation, validation, XSLT, format conversion<
- 6. AI-Assisted SQL<br />
- Interpreting SQL scripts and ERDs<
- Translating natural language into SQL queries<
- Optimizing queries and understanding execution plans<
- Exercises: Writing queries from requirements, report generation<
- 7. AI-Assisted Python<br />
- Using AI to write, debug, and optimize Python code<
- Working with APIs and performing file I/O tasks<
- Setting up a collaborative coding environment with Google Colab<
- Exercises: Python modules, scripts, API usage, file handling
