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Accelerated Delivery Using AI

Ready to supercharge your agile delivery with AI? This course shows software development teams and leaders how to integrate AI tools into existing agile practices to accelerate delivery cycles, enhance team collaboration, and drive continuous value delivery. Learn to leverage AI within your current workflows while maintaining focus on customer outcomes.

About this course

DON'T LET TRADITIONAL DELIVERY METHODS SLOW YOU DOWN IN AN AI-POWERED WORLD.

Software teams are under constant pressure to deliver faster while adapting to changing requirements and market conditions. Traditional agile practices alone may not be enough to keep pace with modern demands. The Accelerated Delivery Using AI course transforms how development teams work by strategically integrating AI into proven agile methodologies and delivery frameworks. You'll discover how AI can augment your existing sprint planning, backlog management, and value delivery processes without disrupting what already works. Through practical exercises aligned with modern agile principles, you'll learn to enhance decision-making, accelerate workflow bottlenecks, and drive innovation while maintaining ethical considerations and team collaboration. This course focuses on practical AI integration within your current delivery lifecycle, ensuring your organisation stays competitive while delivering continuous value to customers.

What you will gain

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The ICAgile Certified Professional – Foundations of AI (ICP- FAI) certification is granted on the successful completion of this course.

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This course will contribute 14 PMI® professional development units (PDUs) towards your chosen certification (1 Power Skills and 13 Business Acumen).

What you will learn

  • How AI impacts modern agile ways of working and its potential to accelerate your delivery cycles.
  • How to shift your team mindset to effectively partner with AI while maintaining human-centered delivery practices.
  • Practical prompt engineering techniques for getting better results from AI tools in your daily development work.
  • How to integrate AI into team structures and value delivery processes without disrupting proven agile practices.
  • How to design and implement ethical frameworks for AI adoption within your development organisation.
  • How to measure AI effectiveness and maturity within your delivery context.
  • Behaviours and practices that demonstrate agility when working with AI-enhanced delivery teams.
  • How to focus AI initiatives on business value and continuous product delivery outcomes.

What you will need

There are no prerequisites for the Accelerated Delivery Using AI class. 

It is beneficial, but not required, that participants have knowledge of modern ways of working through formal training like our Agile Fundamentals or Business Agility Fundamentals courses or have relevant experience working in the Agile context.

This course is great for

  • Development team members looking to integrate AI into their delivery practices to boost efficiency and innovation.
  • Scrum Masters, Product Owners, and Agile Project Managers wanting to use AI insights to drive significant improvements in workflows and decision-making.
  • Business Analysts, Product Managers, and Team Leads interested in adopting and implementing AI solutions within their current processes.
  • Software Engineers, Testers, and Technical Leads who want to enhance their delivery practices with AI while maintaining quality and collaboration standards.
  • Leaders focused on scaling AI adoption across development teams and portfolios.
  • Anyone in software development who wants to accelerate delivery.

Topics covered

Ways of Working Enhanced by AI

  • Navigating change and complexity in modern development environments
  • Building the right human-AI mindset for collaborative delivery
  • Overcoming resistance and fostering AI adoption within agile teams

Prompt Engineering

  • Crafting effective prompts for development-specific use cases
  • Moving beyond basic text output to toolchains and creative content generation
  • Teaching AI to act as specialized roles (technical writer, code reviewer, user advocate)

Elements of AI

  • Understanding different types of artificial intelligence relevant to software delivery
  • When to use LLMs, SLMs, and RAG in your development workflow
  • Recognizing and mitigating AI hallucinations and bias in delivery contexts
  • Implementing AI ethics, data compliance, and privacy considerations
  • Measuring AI impact and assessing organizational AI maturity

Practices and Behaviours for AI-Enhanced Agile Delivery

  • Behaviours that demonstrate agility when integrating AI into development practices
  • Building value-focused AI-enhanced delivery teams
  • Understanding and communicating the business value of AI initiatives

Delivering Value with AI Integration

  • Applying AI throughout the value lifecycle for continuous product delivery
  • Governance frameworks for AI initiatives within agile portfolios
  • AI integration across Portfolio, Discover, Deliver, and Operate phases
  • Maintaining focus on customer outcomes while leveraging AI capabilities

FACILITATORS

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