Explore how generative AI can support modern software engineering practices, helping development teams improve efficiency, strengthen code quality and streamline delivery workflows. The course examines how AI tools can be integrated into software development activities including coding, testing, design and optimisation. You’ll learn how to apply AI-assisted techniques more effectively within development environments to support faster decision-making and more consistent software delivery.
Generative AI in Software Engineering
Practical AI skills for software developers
Run as a one-day (six hours) live virtual classroom workshop, this training course introduces how generative AI can be applied across the software engineering lifecycle, from development and testing to design and optimisation. It is designed for software engineers, developers and those beginning a career in development who want to strengthen their understanding of AI-assisted engineering practices. You’ll gain experience using generative AI techniques to support development tasks, reduce repetitive effort and improve consistency across software projects.
Learning objectives
- Apply generative AI techniques within development workflows
- Use AI-assisted approaches for coding activities
- Improve testing with AI
- Optimise and refactor code
- Generate technical documentation
- Identify security vulnerabilities
- Support software design activities using AI tools
- Understand AI trends and ethics
Key facts
Certification
This is a skills-based course with no formal accreditation.
Who it’s for
This course is for software engineers, developers and individuals starting a career in software development looking to build generative AI skills.
Prerequisites
There are no prerequisites for this course.
Exam information
There is no exam for this course.
Optional extras
There are no optional extras for this course.
Pre-course
There is no pre-course work required.
FAQs
This course focuses on how generative AI can be applied across software engineering to improve productivity, code quality and design outcomes. It covers practical use cases including coding, testing, documentation and user experience, helping you understand how AI tools can be incorporated into software engineering activities including coding, testing and documentation.
Is this course suitable for beginners?
The course is suitable for software engineers, developers, and individuals looking to begin a career in software development. It focuses on building practical generative AI skills that can be applied in real-world environments.
Do I need prior experience with AI?
There are no prerequisites for this course, so prior experience with AI is not required. The content is designed to introduce key concepts and build practical capability from the ground up.
How can generative AI improve software development workflows?
Generative AI can support multiple stages of the development lifecycle, including code generation, testing and documentation. By automating repetitive tasks and assisting with optimisation, it helps improve efficiency and consistency. This can help reduce repetitive manual work and support more efficient software development activities.
What practical skills will I gain from this course?
You’ll develop hands-on skills in using generative AI for coding, code review, testing and optimisation. The course also covers generating documentation, improving user experience, and applying AI in design and development tasks, helping you apply these techniques within software engineering environments.
How is generative AI used in software testing and quality?
Generative AI can be used to support testing activities by improving test coverage, identifying issues, and helping detect security vulnerabilities. It also assists in refining code and enhancing quality, enabling more reliable and efficient software delivery processes.
What our customers say
"Very professional and enjoyable training. Would highly recommend!"
Clayton Smithwick, TSG learner
"I am very satisfied with the course! It's definitely worth booking the training with the trainer. The trainer, having obviously lots of experience in the area, explained the material very well. Brilliant job! It was intense, but with good energy and I've learned a lot. Thank you!"
Oksana Sawicka, TSG learner
Why study with TSG?
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