AI Mastery Series

Becoming AI Native doesn’t happen in a single training. Our AI Learning Journey gives you a clear path in five stages – from first insights to leading change with AI.

Stage 1 – Foundation

Build AI literacy and confidence. Understand what AI and generative AI are, what they can and cannot do, and how they relate to your daily work.

Example courses in this stage:

• AI Literacy for Professionals

• Certified AI-Native Foundations

Stage 2 – Application

Translate insights into practice. Start using AI in real workflows, roles and domains, and experiment with prompting and new ways of working.

Example courses and workshops in this stage:

• AI for HR Professionals

• Highberg Learn How to AI Prompt Game (interactive workshop)

• AI for Agile: Facilitation and Leadership

• Professional Scrum Product Owner – AI Essentials (PSPO-AIE)

• Microsoft Copilot trainings (e.g. Copilot Fundamentals and Copilot for Word, Excel, Teams & Outlook)

Stage 3 – Integration

Embed AI into processes, teams and decision-making. Connect AI to portfolio choices, product management and Agile metrics.

Example courses in this stage:

• Unlocking Agile Metrics with AI

• SAFe AI-empowered Product Owner/Product Manager (POPM)

Stage 4 – Leadership

Guide others and drive AI initiatives across teams and value streams. Focus on change, governance and responsible use of AI at scale.

Example courses in this stage:

• Certified AI-Native Change Agent

• Achieving Responsible AI with SAFe

Stage 5 – Mastery

Keep learning, innovating and scaling what works. Combine courses into longer journeys and tailor learning to your organization’s strategy.

Example options in this stage:

• Certified AI-Native Journey (Foundations + Change Agent)

• Advanced Microsoft Copilot programs (e.g. Copilot Studio and Train-the-Trainer)

The AI Mastery Series brings together practical AI training programs developed with experienced practitioners. All courses are hands-on, accessible and directly linked to real work – no abstract theory, but frameworks, exercises and cases from real organizations.

AI is already changing how organizations make decisions, design services and deliver value. At the same time, many teams are stuck with isolated experiments, unclear ownership and questions about risk – especially around generative AI and responsible use of data.

The AI Mastery Series helps you move beyond that by:

• Creating a shared understanding of what AI can and cannot do

• Building practical AI skills for professionals, not just “trying a tool once”

• Embedding Responsible AI thinking into everyday work and decision-making

Across all AI Mastery Series courses we:

• Start from practice – real cases, exercises and reflection rather than theory only

• Use clear language for mixed, often non-technical, audiences

• Make sure every participant leaves with concrete next steps for their own context

Every organization is at a different point in its AI journey. Our training and learning journeys adapt to your organization, not the other way around.

You can:

• Join open schedule courses

• Organize in-house training for your team

• Combine courses into a custom AI Learning Journey

This helps you:

• Integrate AI sustainably into processes and decision-making

• Develop a shared AI language and innovative culture

• Create a safe space where people learn and experiment with AI