At Microsoft, we’ve become pioneers in the AI landscape by transforming our own organization. We’re customer zero—putting AI to work in all facets of our business and continuously exploring how this powerful technology can drive economic growth, maximize efficiency, and reduce operating costs. We’re also regularly evaluating and evolving how we coach employees as part of their continued AI skills development.

Although every organization’s AI transformation is unique and blueprints are scarce, we’ve learned that having the right skills across the organization is key. By implementing skill-building initiatives throughout the company, we’re reimagining how we work at Microsoft and aligning those initiatives to the functions that are critical to how we do business.

Through this process, we’re constantly uncovering valuable insights on how to lead by learning—often developing the playbooks from scratch. By applying these insights, we advance our AI transformation and benefit our workforce, customers, and partners around the world. We’re glad to share our findings with you to help your teams skill up to make the most of AI for innovation, growth, and opportunities.

Developing crucial AI skills for organizational transformation

Organizational transformation now requires AI-first skills; yet it can be challenging to plan modern and effective skill-building programs.

We understand the importance of providing our employees—both technical and non-technical—with the AI skills to grow and evolve with the business and the technology, along with the ability to apply these skills every day. Teams across Microsoft have established innovative and effective AI training programs that cater to specific roles in marketing, sales, engineering, and beyond.

Although there’s no one-size-fits-all approach to AI training, our experience has yielded some widely applicable takeaways which can be helpful to organizations that want to build AI skills. Our new e-book, 10 Best Practices to Accelerate Your Employees’ AI Skills: Lessons and experiences from Microsoft’s skilling initiatives, highlights some of the vital lessons we’ve learned that can help support you in implementing skill-building programs crucial to your AI transformation.

Sharing highlights from our AI learning experience

The e-book explores many of the lessons we’ve learned in our ongoing AI evolution. Our experiences can help inspire and inform your path forward, too, as you and your teams get skilled up and ready to power AI transformation with the Microsoft Cloud. In particular, the e-book showcases stories from AI skill-building initiatives implemented by four Microsoft teams:

An infographic that briefly describes the benefits of using AI for different roles at Microsoft, like marketing, sales, and engineering.
A functional approach to AI skill building at Microsoft.

Here’s what we learned.

1. Give space for exploration

Encourage a culture of learning by providing employees with the time and tools to explore AI.

Our Worldwide Learning Engineering team has dedicated time to delve into AI, and this fosters an environment where curiosity and innovation can thrive. Additionally, The Garage’s experiments, such as the SkillUp AI Challenge, provide employees with a sandbox for practical AI applications, encouraging both personal and professional growth.

2. Make learning fun

Create a low-pressure, engaging environment where employees can learn at their own pace.

The Garage’s SkillUp AI Challenge incorporates fun, interactive exercises that make AI relatable and enjoyable for all skill levels. Similarly, the Marketing AI practitioner hub offers gamified learning paths that enable marketers to integrate AI into their daily workflows in an entertaining way.

3. Provide clear, structured learning paths

Simplify the learning experience with structured paths tailored to different skill levels and roles.

MCAPS Academy Flight Plans offer role-specific learning paths, helping to ensure that technical and non-technical sales teams alike have clear directions for their AI learning. Moreover, the Marketing Learning team has developed a curriculum that supports marketers in becoming regular AI practitioners through well-defined learning stages.

4. Make it role specific

Adapt AI training programs to the unique needs of each role within the organization.

The Worldwide Learning Engineering team focuses on providing engineers with opportunities for deep technical engagement through dedicated learning time and advanced AI tools. At the same time, the MCAPS Academy addresses the specific needs of a different job role—sales—by blending foundational knowledge with real-world applications to enhance AI fluency.

5. Start with foundations

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Begin AI training with foundational knowledge to help ensure that all employees have a solid understanding of AI basics.

The Marketing Learning team introduces marketers to AI through simple, foundational concepts before progressing to more complex applications. Likewise, the MCAPS Academy provides basic AI training to new hires before guiding them through more advanced, role-specific learning paths.

6. Have a plan to update the content regularly

Maintain the relevance of AI training programs by regularly updating content.

The Worldwide Learning Engineering team continuously refreshes its training materials to keep up with the latest advancements in AI technology. Meanwhile, The Garage schedules regular updates for its skill-building exercises to help ensure that they remain engaging and current.

7. Drive awareness and continued adoption

Promote ongoing AI learning and adoption through awareness campaigns and reinforcement.

The Marketing AI practitioner hub provides regular touchpoints to encourage consistent AI practice among marketers. Similarly, the MCAPS Academy uses newsletters and internal communications to keep the sales force informed and engaged in AI learning.

8. Set clear guidelines for responsible use

Establish and communicate guidelines for the responsible use of AI to maintain standards.

The Marketing Learning team’s curriculum emphasizes the importance of responsible AI use, providing clear guidelines and best practices. The Worldwide Learning Engineering team also integrates responsible AI principles into its training sessions, highlighting the significance of these considerations in AI development.

9. Let employees learn from each other

Facilitate peer-to-peer learning opportunities to enhance AI skills through collaboration.

The Garage hosts show-and-tell sessions where employees share their AI projects and insights. For engineers, the Worldwide Learning Engineering team organizes knowledge-sharing workshops to promote collaborative learning.

10. Leverage existing resources

Take advantage of available resources to support AI skill-building initiatives.

The MCAPS Academy makes the most of existing training platforms and materials, integrating them into its AI learning paths. And The Garage draws on external AI tools and resources to complement its interactive learning programs.

A close up of a white object

AI learning hub on Microsoft Learn

Get the skills to power your AI transformation

Building a foundation for the future of AI skilling

Our experiences as customer zero for AI training have been transformative—and we’re just getting started. By empowering our teams with the right skills, we’re not only driving innovation within our organization but also setting a strong foundation for the future, supporting our employees and customers, creating business value and growth, and fostering innovation.

As organizations around the world look to build AI skills and to scale this powerful technology throughout their business, we’re glad to share these insights to support your AI transformation. Together, we can lead in the AI-powered world and unlock new levels of value for our workforce, customers, and partners—today, tomorrow, and beyond.