One person’s record: sessions completed, the task they chose, and the AI Fellow’s assessment of the session objectives.
Learning Path
Help employees use AI in their everyday work, with the tools your organization already runs. Each person gets an AI Fellow and personalized live sessions built around their role and tasks, while L&D can review progress and the use cases people discover.
Built by the team behind Founderz, Microsoft’s Worldwide Training Partner for AI, with more than 700,000 people trained. Read our story →
Overview
Organizations introducing an AI assistant such as Microsoft 365 Copilot, ChatGPT, Gemini or Claude, or helping existing users apply it more confidently to their everyday work.
Employees need time to try AI on their own tasks, ask questions and check its answers. L&D needs to understand which uses are useful and where people need more support.
This path gives every employee their own AI Fellow and live sessions on their own tasks, using the AI tools your organization has approved. L&D gets a record of what each person practiced and which use cases they explored.
A new kind of delivery
The learner works through a task in a live conversation with their AI Fellow. They can ask a question, try an approach and get guidance as they go.
The first session captures their role, the AI tools they have access to and their previous experience. After that, the AI Fellow personalizes each session around their tasks and technical level.
Alongside the Learning Path, learners can return to their AI Fellow to ask questions, explore an idea or practice applying AI to another task.
The path works with whichever AI assistant your organization has approved. We adapt practice to the features, policies and access you have in place.
Curriculum
Employees work through live Fellow Sessions in order, with objectives tailored to their role. The AI Fellow records an assessment against each objective as it is completed.
The welcome session. The AI Fellow learns the learner’s role and typical tasks, then runs one small real win: a summary, a short draft, a quick brainstorm. It closes by agreeing the tedious task they want off their plate next time.
The AI tool has to prove itself on the learner’s own job. They build a prompt from four parts — goal, context, expectations, source — improve it live rather than copy a template, and iterate on what comes back.
The assistant stops being generic. The learner adds context about their role and audience, brings in approved documents, and asks questions grounded in that material. Available features, such as projects, notebooks or custom instructions, depend on the tool and their organization’s setup.
The habit session. They pick the recurring workflow where AI pays off most, run this week’s real instance of it grounded in their own material, and tie it to triggers already in their week.
The learner names what changed and what AI now does for them every week, then commits to one concrete way of bringing a colleague along: share the prompt, run a show-and-tell, or help one person to their first win.
So do sales, finance and customer success. Any role can have its own path, built on the work that role actually does.
Reporting
Review session progress, AI-written assessments and the use cases employees discuss. These learning records help L&D identify where teams need further practice.
One person’s record: sessions completed, the task they chose, and the AI Fellow’s assessment of the session objectives.
Program facts
Next step
Explore the learner experience and Studio reporting with your rollout and your AI tools in mind. Tell us which assistant your teams use and we will prepare the walkthrough around it.