Generative AI tools for programming
Time: 18:00 - 20:30
Location: Hybrid (choose either online or in-person)
This course will be delivered online or in person. See the ‘What is the course about?’ section in course details for more information.
Choose a start date
- Course Code: CMART44
- Dates: 10/03/25 - 17/03/25
- Time: 18:00 - 20:30
- Taught: Mon, Evening
- Duration: 2 sessions (over 2 weeks)
- Location: Hybrid (choose either online or in-person)
- Tutor: Muhammad Khan
Course Code: CMART44
Choose a start date
Duration: 2 sessions (over 2 weeks)
Please note: We offer a wide variety of financial support to make courses affordable. Just visit our online Help Centre for more information on a range of topics including fees, online learning and FAQs.
What is the course about?
This course introduces the use of generative AI tools in programming, focusing on how these tools can assist and enhance your coding workflow. You will learn to integrate AI-driven solutions for code generation, debugging, and optimization, using popular tools like ChatGPT, GitHub Copilot, and Tabnine. The course builds on fundamental programming knowledge, specifically in Python, and offers practical experience in using these generative AI tools effectively.
You can choose to attend this course either live online or in person.
- Internet connection. The classes work best with Chrome.
- A computer with microphone and camera.
- Earphones/headphones/speakers.
We will contact you with joining instructions before your course starts.
What will we cover?
• Introduction to Generative AI in Programming: Understanding the basics of generative AI and its applications in coding.
• AI Tools for Code Generation: How to use AI tools like ChatGPT, GitHub Copilot, and Tabnine to automatically generate code snippets and templates.
• Debugging and Error Detection: Leveraging AI to identify and fix errors in your code.
• Code Optimization and Refactoring: Using AI-driven solutions to enhance code performance and maintainability.
• Integrating AI into Development Workflows: Best practices for incorporating AI tools into your programming processes.
• Ethical Considerations and Limitations: Understanding the ethical implications and current limitations of using AI in programming.
• Hands-on Projects: Applying AI tools to real-world programming challenges to automate tasks and improve code quality.
What will I achieve?
By the end of this course you should be able to...
• Understand the fundamentals of generative AI and its role in programming.
• Use AI tools like ChatGPT, GitHub Copilot, and Tabnine to generate, debug, and optimize code in Python and other languages.
• Integrate AI solutions into your development workflow for increased efficiency.
• Address ethical considerations and navigate the limitations of AI in coding.
• Apply generative AI to real-world programming tasks through hands-on projects.
What level is the course and do I need any particular skills?
This course is at beginner to intermediate level, designed for those with fundamental programming knowledge, particularly in Python. A basic understanding of programming concepts is required, as the course will build on these skills to explore the use of generative AI tools.
How will I be taught, and will there be any work outside the class?
The course will be taught through interactive lectures, practical demonstrations, and hands-on coding sessions. All learning, including project work, will take place during class time, with no mandatory outside work.
Are there any other costs? Is there anything I need to bring?
There are no additional costs for this course. All necessary materials and access to AI tools will be provided.
When I've finished, what course can I do next?
Please click here to view all our courses in the Technology area and click here to view our Programming and Maths courses.
Disclaimer: Use of Third-Party Software
This course might require you to either use your own personal account or create an account for the purposes of this course. City Lit cannot accept any responsibility for any failings of the third party or provide technical support. Whilst using the software you will be responsible for abiding by the providers terms and conditions and maintaining your own work.
Muhammad is a passionate and experienced tutor currently studying for his PhD in Artificial Intelligence. With a strong background as a former Software Engineer and programming tutor, Muhammad combines his deep academic knowledge with practical industry experience to deliver exceptional educational experiences. Notably, he is the first to create a UAV navigation algorithm using Dispersive Flies Optimization (DFO), which outperformed conventional benchmarks typically employed by major corporations. Dedicated to making advanced technology concepts accessible for all, Muhammad is the creator of the 2-step method to mastering any technological skill from conception to completion, where each lesson is related to individually tailored experiences whilst still adhering to a consistent group-based approach. His goal is to democratize AI and technology, ensuring that these powerful tools are available to and usable by every segment of society through digital literacy and empowerment.
Please note: We reserve the right to change our tutors from those advertised. This happens rarely, but if it does, we are unable to refund fees due to this. Our tutors may have different teaching styles; however we guarantee a consistent quality of teaching in all our courses.