Coding with ChatGPT and Other LLMs
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Coding with ChatGPT and Other LLMs
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What you'll learn
Utilize LLMs for advanced coding tasks like refactoring and optimization.
Understand how IDEs and LLM tools enhance coding productivity.
Master advanced debugging techniques for complex coding issues.
Skills you'll gain
Tools you'll learn
Details to know
April 2026
12 assignments
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There are 12 modules in this course
This course explores how developers can leverage large language models (LLMs) like ChatGPT for coding, debugging, and AI-driven software development. As LLMs revolutionize the programming landscape, this course equips you with the knowledge to harness them effectively for faster, more efficient coding.
Throughout the course, you will gain the skills needed to use LLMs for advanced tasks such as refactoring, optimization, and debugging. You'll learn how to integrate these tools into your development workflow and improve your productivity. What sets this course apart is its blend of theoretical insights and hands-on applications. You'll not only learn the technical skills but also understand the ethical and legal considerations of using LLMs in real-world projects. Ideal for experienced coders, data scientists, and AI enthusiasts, this course builds on a foundational understanding of programming and AI concepts. It’s perfect for those seeking to enhance their skills and stay ahead in the rapidly evolving field of AI-driven development. Based on the book, Coding with ChatGPT and other LLMs, by Dr. Vincent Austin Hall.
In this section, we introduce large language models, their architectures, and applications in coding.
What's included
2 videos5 readings1 assignment
2 videos•Total 2 minutes
- Course Overview video•1 minute
- What is ChatGPT and What Are LLMs - Overview Video•1 minute
5 readings•Total 85 minutes
- Introduction•30 minutes
- LLaMA's Family Tree•15 minutes
- The Architecture of Gemini•15 minutes
- How Transformers Work•15 minutes
- ChatGPT Uses Reinforcement Learning from Human Feedback•10 minutes
1 assignment•Total 10 minutes
- Introduction to Large Language Models•10 minutes
In this section, we explore leveraging LLMs for coding, focusing on prompt engineering, code quality assessment, and refining generated code for practical applications.
What's included
1 video3 readings1 assignment
1 video•Total 1 minute
- Unleashing the Power of LLMs for Coding A Paradigm Shift - Overview Video•1 minute
3 readings•Total 45 minutes
- Introduction•15 minutes
- Planning Your LLM-Powered Coding•15 minutes
- Getting into LLM-Powered Coding•15 minutes
1 assignment•Total 10 minutes
- Harnessing LLMs for Efficient Software Development•10 minutes
In this section, we cover using LLMs for code refactoring, debugging, and optimization with practical examples.
What's included
1 video7 readings1 assignment
1 video•Total 1 minute
- Code Refactoring, Debugging, and Optimization: A Practical Guide - Overview Video•1 minute
7 readings•Total 155 minutes
- Introduction•30 minutes
- Prompt 5 Debugging HTML•30 minutes
- Refactoring Code•30 minutes
- Documenting Code•20 minutes
- Testing Code•15 minutes
- Agents•15 minutes
- My App•15 minutes
1 assignment•Total 10 minutes
- Code Refactoring and Software Development Practices•10 minutes
In this section, we explore techniques to improve readability of LLM-generated code, emphasizing documentation, code structuring, and collaboration in AI-assisted development.
What's included
1 video6 readings1 assignment
1 video•Total 1 minute
- Demystifying Generated Code for Readability - Overview Video•1 minute
6 readings•Total 65 minutes
- Introduction•15 minutes
- Disadvantages of Learned Compression•10 minutes
- Here is What Claude 3 Says About Its Own Example of Bad Code•15 minutes
- Why Is Reading Code Hard?•10 minutes
- Summarizing Code for Understanding•10 minutes
- Generating Documentation•5 minutes
1 assignment•Total 10 minutes
- Enhancing Code Clarity and Maintainability•10 minutes
In this section, we explore identifying bias in LLM-generated code, applying ethical strategies, and using fairness metrics to prevent unfair outcomes and legal risks.
What's included
1 video5 readings1 assignment
1 video•Total 1 minute
- Addressing Bias and Ethical Concerns in LLM-Generated Code - Overview Video•1 minute
5 readings•Total 55 minutes
- Introduction•10 minutes
- Detecting Bias Tools and Strategies•15 minutes
- Analyzing the Training Data•5 minutes
- Fairness Metrics•15 minutes
- Code Reviews•10 minutes
1 assignment•Total 10 minutes
- Ethical Considerations in AI Code Development•10 minutes
In this section, we examine IP ownership, liability, and legal frameworks for LLM-generated code to ensure compliance and responsible AI use.
What's included
1 video4 readings1 assignment
1 video•Total 1 minute
- Navigating the Legal Landscape of LLM-Generated Code - Overview Video•1 minute
4 readings•Total 60 minutes
- Introduction•10 minutes
- Taiwan Human Creative Expression•20 minutes
- Accountability and Redress Mechanisms•15 minutes
- Developments and Compliance•15 minutes
1 assignment•Total 10 minutes
- Navigating Legal and Ethical Challenges in AI Code•10 minutes
In this section, we explore LLM security risks, implement secure coding practices, and monitor vulnerabilities in AI-generated code for safer development.
What's included
1 video4 readings1 assignment
1 video•Total 1 minute
- Security Considerations and Measures - Overview Video•1 minute
4 readings•Total 70 minutes
- Introduction•20 minutes
- Code Vulnerabilities•15 minutes
- Implementing Security Measures for LLM-Powered Coding•15 minutes
- Encryption and Data Protection•20 minutes
1 assignment•Total 10 minutes
- Security Fundamentals in Modern Development•10 minutes
In this section, we examine the limitations of large language models in coding, integration challenges, and future research directions to improve their reliability and security in software development.
What's included
1 video4 readings1 assignment
1 video•Total 1 minute
- Limitations of Coding with LLMs - Overview Video•1 minute
4 readings•Total 41 minutes
- Introduction•10 minutes
- AI Agents•20 minutes
- Dependency Management•10 minutes
- Future Research Directions to Address Limitations•1 minute
1 assignment•Total 10 minutes
- Challenges in LLM-Driven Code and AI Development•10 minutes
In this section, we explore sharing LLM-generated code to foster collaboration, transparency, and knowledge management. Key concepts include best practices, documentation, and using collaborative platforms for team productivity.
What's included
1 video4 readings1 assignment
1 video•Total 1 minute
- Cultivating Collaboration in LLM-Enhanced Coding - Overview Video•1 minute
4 readings•Total 50 minutes
- Introduction•15 minutes
- Best Practices for Code Sharing•10 minutes
- Test the code thoroughly•10 minutes
- Peer Mentorship Sharing the Wisdom•15 minutes
1 assignment•Total 10 minutes
- Collaborative Coding in the Age of LLMs•10 minutes
In this section, we explore non-LLM AI tools like static code analysis and testing frameworks to enhance coding efficiency and software quality.
What's included
1 video9 readings1 assignment
1 video•Total 1 minute
- Expanding the LLM Toolkit for Coders Beyond LLMs - Overview Video•1 minute
9 readings•Total 130 minutes
- Introduction•15 minutes
- PyCharm's Code Completion•10 minutes
- NetBeans' Code Completion•15 minutes
- VS Code's IntelliSense•20 minutes
- ESLint•10 minutes
- PMD•15 minutes
- Fortify Static Code Analyzer•15 minutes
- Bandit•15 minutes
- Cypress•15 minutes
1 assignment•Total 10 minutes
- Expanding the LLM Toolkit for Coders•10 minutes
In this section, we explore how mentoring, knowledge sharing, and community engagement enhance career growth and influence in LLM-powered coding through practical strategies and networking.
What's included
1 video4 readings1 assignment
1 video•Total 1 minute
- Helping Others and Maximizing Your Career with LLMs - Overview Video•1 minute
4 readings•Total 60 minutes
- Introduction•15 minutes
- Supporting a Culture of Continuous Learning•15 minutes
- Social Media and Online Communities•20 minutes
- Building Genuine Relationships•10 minutes
1 assignment•Total 10 minutes
- Professional Growth and AI in the Modern Workplace•10 minutes
In this section, we explore emerging LLM trends, future impacts on coding, and challenges in AI integration, emphasizing ethical considerations and practical applications.
What's included
1 video5 readings1 assignment
1 video•Total 1 minute
- The Future of LLMs in Software Development - Overview Video•1 minute
5 readings•Total 40 minutes
- Introduction•10 minutes
- Generative Business Intelligence (Gen BI)•10 minutes
- Coming Challenges and Opportunities•10 minutes
- No Jobs for Humans•5 minutes
- Summary•5 minutes
1 assignment•Total 10 minutes
- The Evolving Role of LLMs in Coding and Development•10 minutes
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Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
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Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
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