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AGS Training Academy

Generative AI in Software Delivery

Adopt generative AI across the software development lifecycle

Business professionals
Intermediate to advanced
generative ai
software development
sdlc
engineering
devops
roadmap
ai learning pathways

A practical course for technical leaders and developers. Map lifecycle tasks suited to AI assistance, understand model capabilities and limits, weigh evidence from industry, apply secure adoption practices, engineer AI-enabled systems and build a techno-business roadmap.

What you will be able to do

  • Identify lifecycle tasks, processes and roles suitable for AI assistance.
  • Explain the practical limits of large language models and coding assistants.
  • Weigh short-term gains against long-term costs such as quality and skills erosion.
  • Assess team readiness and set secure, governed adoption practices.
  • Recognise how engineering AI-enabled systems differs from conventional software.
  • Create a phased adoption roadmap with benefits, costs and metrics.
£345incl. VAT at 20%
  • 12 lessons
  • 3h 30m of guided learning
  • 12 CPD hours & certificate
  • AI tutor & SEND adaptation included
Enrol and start

Sign in required. Preview lessons are marked below and are free to read.

Part of the AI Learning Pathways Programme. CPD-aligned certificate of completion — not a regulated qualification.

Course content

Module 1: The software lifecycle as a system

Stakeholders, activities and bottlenecks where AI might help.

  • The software lifecycle as a system
    Preview
    reading · 25 min
  • Module 1 quizquiz · 10 min

Module 2: Generative AI fundamentals for engineers

How large language models, assistants and agents work — and fail.

  • Generative AI fundamentals for engineersreading · 25 min
  • Module 2 quizquiz · 10 min

Module 3: What the evidence says

Weigh industry studies, benefits and drawbacks honestly.

  • What the evidence saysreading · 25 min
  • Module 3 quizquiz · 10 min

Module 4: Adopting generative AI safely

Practices, policies and role changes for new and existing projects.

  • Adopting generative AI safelyreading · 25 min
  • Module 4 quizquiz · 10 min

Module 5: Engineering AI-enabled systems

How building software with AI components differs from conventional engineering.

  • Engineering AI-enabled systemsreading · 25 min
  • Module 5 quizquiz · 10 min

Module 6: Your adoption roadmap

Readiness, business case and a phased plan you can use on day one.

  • Your adoption roadmapreading · 25 min
  • Module 6 quizquiz · 10 min

Try the demo