self-paced

AI for Technical Teams

AI for Technical Teams — applied AI for this role using shared foundations and practical workflows.

This page is the course itself. Commercial AI training for UK companies is owned by the AI training hub.

Delivered by AI Build

Learning platform: SAVI.education

Certificate issued by SAVI.education

Duration
3 hours
Price
£79
Level
Intermediate

Who this course is for

Who it's for
People whose work sits in AI by Role and who want a practical, workplace-focused course rather than a generic overview.
Prerequisites
No specialist background required. A laptop and an approved workplace AI tool will help you practise the exercises.
What you'll be able to do
  • Complete “What Generative AI Is and Is Not” and apply it to a real task at work.
  • Complete “Data Boundaries and Safe Use” and apply it to a real task at work.
  • Complete “Giving AI Clear Instructions” and apply it to a real task at work.
  • Complete “Using Chatgpt For Development” and apply it to a real task at work.
Duration & level
3 hours · Intermediate
  • Self-paced lessons
  • Credential

Certificate

AI for Technical Teams Certificate

Awarded on successful completion of all required course steps.

Course syllabus

Lessons are grouped into clear steps with visual cues, so each course is easier to scan before you start.

Lessons unlock after purchase. Create your account with the same email you paid with — no course code is required — or choose “Already purchased?” above.

  1. Step 1 · Lesson

    What Generative AI Is and Is Not

    Define generative AI, contrast it with traditional software, and set realistic expectations.

  2. Step 2 · Lesson

    Data Boundaries and Safe Use

    Set clear boundaries for personal, confidential and regulated data in AI tools.

  3. Step 3 · Lesson

    Giving AI Clear Instructions

    Write clear goals, context and constraints for better AI results.

  4. Step 4 · Lesson

    Using Chatgpt For Development

    Learn how to use ChatGPT as a practical development assistant for task decomposition, code generation, debugging, refactoring and delivery support. You will practise writing better prompts, sharing the right context safely, and verifying outputs before code reaches your repository.

  5. Step 5 · Lesson

    Code Review And Refactoring

    Learn how to use Cursor, GitHub Copilot and ChatGPT to improve code review quality and plan safe refactoring work. You will be able to create structured review prompts, verify AI suggestions, reduce technical debt and avoid introducing regressions.

  6. Step 6 · Lesson

    Documentation And Delivery

    Learn how to use AI tools to produce clearer developer documentation, release notes, handover packs and delivery checklists. You will practise turning repository context, tickets and technical decisions into useful documents while keeping human ownership, accuracy checks and security controls in place.