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Generative AI tools for programming

Generative AI is transforming programming. This course builds on your Python skills, teaching you to leverage AI tools like ChatGPT and GitHub Copilot to generate, debug, and optimize code. Hands-on projects will enhance your coding efficiency and creativity.
Choose a starting date

Learning modes and locations may be different depending on the course start date. Please check the location of your chosen course and read our guide to learning modes and locations to help you choose the right course for you.

  • Start Date: 27 Jun 2025
    End Date: 27 Jun 2025
    Fri (Daytime): 10:30 - 16:30
    Choose either online or in-person
    Location: Hybrid (choose either online or in-person)
    Duration: 1 session
    Course Code: CMART45
    Tutors:  Muhammad Khan
    Full fee £129.00 Senior fee £103.00 Concession £84.00
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Any questions? computing@citylit.ac.uk or call 020 4582 8438

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.

Book your place
In stock
SKU
231379
Full fee £129.00 Senior fee £103.00 Concession £84.00

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.

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 Khan Tutor Website

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.