Microsoft Generative AI Learning Path: A Review & Guide for Teams
When I talk to organisations about building their own generative AI learning modules in their Learning and Development plans, I usually suggest creating custom modules tailored to their specific industry, job roles, and tech stack. The recommendation is always to fill with real-world use cases specific to their organisation and different departments where it will be deployed.
But depending on the size, budget, or just inclination to be AI-ready, not every company has the resources to do that. After personally completing this particular Microsoft and LinkedIn learning path on generative AI, it’s a solid starting point for anyone whose organisation might not have the means to create an entirely bespoke course. The learning path is convenient if you’re already on the Microsoft platform, making it an excellent launchpad for your team. If you’re an individual looking to upskill on your own, this is an accessible resource you can tap into if you have LinkedIn Learning.
Here’s a quick rundown of what the learning path covers:
• What is Generative AI: A beginner-friendly dive into the basics, models, future predictions, and ethics.
• Generative AI and Online Search: How reasoning engines like Chat-GPT differ from traditional search.
• Streamlining Work with Microsoft Copilot: Tips on using Copilot for productivity in everyday applications.
• Learning Microsoft 365 Copilot for Work: How to integrate Copilot into Word, Excel, PowerPoint, and more.
• Ethics in Generative AI: A framework for addressing ethical concerns and responsibilities.
• Introduction to AI: Fundamental AI concepts and the difference between classic predictive AI and generative AI.
https://lnkd.in/geRz5heh
Adopt AI with Confidence and Clarity. Are you struggling to build a business case for AI or unsure about governance and compliance? AIdeate Solutions guides organisations through practical, responsible AI adoption. We help you move beyond the hype to implement workflows that create real value.
