Highlights
- Use AI tools to generate, refactor, and optimise code efficiently
- Speed up debugging and troubleshooting with AI-assisted analysis
- Automate documentation, testing, and repetitive development tasks
- Improve code quality with AI-driven suggestions and reviews
- Integrate AI into existing development workflows and toolchains
- Understand limitations, risks, and best practices for responsible AI use
Course Details
Use AI tools to generate, refactor, and optimise code efficiently
- Generate code snippets, functions, and boilerplate from natural language prompts
- Refactor legacy or complex code for readability and performance
- Optimise code by identifying inefficiencies and suggesting improvements
Speed up debugging and troubleshooting with AI-assisted analysis
- Diagnose errors and interpret stack traces with AI support
- Identify root causes of bugs more quickly
- Explore alternative fixes and validate solutions
Automate documentation, testing, and repetitive development tasks
- Generate clear code documentation and inline comments automatically
- Create unit tests and test cases with AI assistance
- Reduce time spent on repetitive coding and maintenance tasks
Improve code quality with AI-driven suggestions and reviews
- Use AI for code reviews and best practice recommendations
- Detect potential security vulnerabilities and code smells
- Enhance consistency and maintainability across projects
Integrate AI into existing development workflows and toolchains
- Embed AI tools into IDEs and version control workflows
- Streamline collaboration within development teams
- Align AI usage with CI/CD pipelines and development processes
Understand limitations, risks, and best practices for responsible AI use
- Recognise where AI outputs may be incorrect or misleading
- Apply validation and testing to AI-generated code
- Follow best practices for security, privacy, and ethical use
Who should attend
- Software developers (junior to senior) looking to boost productivity
- Engineers interested in integrating AI into their development workflow
- Technical professionals working with modern development tools and environments
- Teams exploring AI-assisted development practices
- Anyone with basic coding experience who wants to work more efficiently with AI
Feedback
4.8 out of 5 average
"Overall really good content and very interesting. Good balance of not too much writing/presentation and interaction with the applications. I really enjoyed this course and learnt so much more about ChatGPT. I had no idea you can do so much."
Stephen - Head of Logistics Dec 2023
“Loved the class tasks. The persona ones in particular. The opportunity to apply learning to work activities was great. It was a really interesting insight. We covered a lot of ground and lots of the history of LLMs. - very impressive”
Ed, Senior Innovation Team Lead, Dec 2023.
Watch client feedback from Python training course:
