How are you unlocking AI learning at your organization? Comment & earn a Community badge 🚀

​@Courtney-Community Manager I started by curating a list of LinkedIn Learning trainings that focused on AI-assisted search for sourcing. We selected four trainings (one training a month) from LinkedIn Learning and then held teach-back sessions—each facilitated by a different team member who shared their key takeaways. This approach not only personalized the learning journey but also fostered knowledge sharing and deeper engagement across the group. It’s been a great way to build confidence around AI upskilling in our workplace. 

We introduced monthly AI learning circles where each team member explores a different LinkedIn Learning course and then shares key insights in a short group session. This peer-led approach has made AI learning more engaging, collaborative, and easy to apply in daily work. It’s helped build confidence and curiosity across the team.

We are taking a crawl, walk, run approach. We started our crawl two years ago with AI Cohorts The focus was to have each cohort complete some baseline AI training content, and then to start to play with Generative AI. After some experimentation each cohort would work to solve a business problem. The rule was, whether the approach worked or not, it was a win because there was a learning. Psychological Safety was paramount throughout the cohort. The walk was a formal AI Literacy program offering employees opportunities to complete AI courses and get certified through either LinkedIn Learning or Datacamp. The level of participation is a clear indicator that employees want to learn more. The run is just about with start with Agents and Agentics. 

We have multiple routes our employees can take to learn about AI in general and in their respective roles.  One of the first things we rolled out was an AI powered Slack bot that answered all sorts of questions about the company and eventually we updated it to allow for external/real-time web scraping use.  We’ve also created an AI bot creation SDK within Okta to allow our employee population to easily create their own AI assistants for all sorts or uses as well as easily integrate them into customized Slack channels.  In addition to these resources, we’ve created an AI Ambassador team that I have been lucky to have been selected to join, the team is comprised of people from all sorts of departments (not just engineers) who break into sub teams/groups to work on AI related projects to help advance all areas of the business. 

A couple examples of AI projects I’ve personally been able to work on are: 
(1) creating an AI Assistant/bot that reads referral resumes, then scans our careers page job descriptions and provides recommendations for open positions at our company and affiliated sibling/parent companies that might be of interest.
(2) creating an AI training program (powered by an AI chatbot), the idea here is to create a learning platform for new hires to learn about AI, what it is, how to use it, how NOT to use it, and to gain hands on experience with the tools/resources we have at our disposal and get them engaged within their first couple of weeks on the job.

We have recommended AI for Healthcare Course for all our staffs, created a learning path which focus on AI for Leaders and working on a monthly theme focus on AI literacy. 

​@Monica Mutter Wow - what an inspiring and structured approach to AI enablement! I love how you’ve embedded psychological safety as a foundation for experimentation and learning. The “crawl, walk, run” model is such a clear, scalable way to build literacy and confidence across the organization. It’s especially great to see that learning through failure is celebrated as a win - that mindset shift is key to sustainable innovation. Thanks for sharing this thoughtful framework - I’m sure many members here will find it relatable and motivating! Your badge has been awarded!

​@Sean Doyle This is an incredible example of empowering employees to learn by doing! From the AI Slack bot to the internal SDK and Ambassador program - it’s clear your organization is creating a true culture of experimentation. I especially love how your projects go beyond engineering and invite cross-functional collaboration - the referral resume assistant and AI onboarding program are fantastic use cases. Thanks for taking us behind the scenes of how you’re democratizing AI access and learning internally - really inspiring!

Your badge has been awarded, and welcome to the Talent Community!

Hi ​@Shiab Great to ‘see’ you again! Such a smart and intentional approach to upskilling in a highly specialized field. I love that you’re tailoring AI learning paths by audience - from AI for Healthcare for all staff to AI for Leaders and monthly literacy themes. That layered structure ensures learning is relevant and ongoing. Thank you for sharing how you’re integrating AI education into your culture - it’s a great model for other industries to learn from! Report back on your monthly theme!

Your badge has been awarded!

​@Wendy Manninen  This is fantastic! I love how you’ve turned AI learning into an interactive team effort! 🌟 Having different team members lead each teach-back keeps things engaging and personal while building shared confidence with AI. Thanks for sharing such a creative approach to making learning stick!

Your badge has also been awarded!

​@Ch Prathmesh Geetraj What an fun initiative! 👏 Your AI learning circles sound like the perfect blend of structure and creativity - peer-led, continuous, and practical. It’s inspiring to see how you’re making AI learning part of everyday collaboration! I’m a fan of ‘team’ learning and our team has done this several times with success (and maybe a little friendly competition). Thanks for sharing - your badge has been awarded!

We are using the AI Essentials for Sales Professionals to streamline sales workflows, enhance customer interactions and boost performance. It gives them tools to use AI in lead generation, and client engagement. We also utilize Building ChatGPT Skills for day to day tasks and follow up scripts.

 

Did you know the number of non-technical professionals taking AI courses on LinkedIn Learning has jumped 51% in the past year? 📈

 

It’s clear that AI is no longer just for technical teams - it’s for everyone.

But here’s the challenge: activating that learning across an organization isn’t always simple. L&D leaders like you are paving the way by introducing new programs, motivating employees to explore AI, and highlighting the right content to build confidence.

That’s why we want to learn from each other.

 

💬 How are you activating AI learning in your organization?

• Are you embedding AI courses into onboarding or learning paths?
• Hosting AI learning challenges or team sprints?
• Using recommendations or nudges to encourage exploration?

 

👉 Share your ideas, wins, and creative approaches in the comments below.

Whether it’s a new way you’re motivating teams to engage with LinkedIn Learning content, or a specific AI course recommendation that’s sparked interest, your example could help another L&D leader spark momentum in their own organization.

 

🏆 For participating, everyone who contributes will earn the Community “AI Learning Leader” digital badge!

Let’s build a repository of best practices that accelerates AI learning for all. 

How I’m Motivating Teams to Engage with LinkedIn Learning

• Personalized Nudges: I regularly share tailored course suggestions aligned to team goals, so employees see direct relevance to their work.

• Micro-Learning Challenges: By framing courses as short weekly challenges (e.g., “Complete one 30-min module this week”), I make learning feel achievable and rewarding.

• Recognition & Visibility: I spotlight employees who complete courses in team meetings or newsletters, turning learning into a celebrated achievement.

• Integration with Projects: I connect course content to ongoing initiatives, showing how skills learned can be applied immediately in real work scenarios.

Example: AI Course That Sparked Interest

One standout has been “Generative AI for Business Leaders” on LinkedIn Learning.

• Teams were intrigued by how AI can streamline decision-making and automate workflows.

• It sparked discussions on applying AI to cybersecurity risk analysis and internal communications.

• Engagement rose because the course felt both futuristic and practical, directly tied to our organizational priorities.

Impactful Takeaway

By combining personal relevance, recognition, and real-world application, I’ve seen teams move from passive browsing to active, enthusiastic learning. Sharing these wins helps other L&D leaders spark momentum in their own organizations.

✅ How I’m activating AI learning in my organization

I’ve been focusing on creating AI learning experiences that feel practical, relevant, and approachable — not overwhelming. Here’s what’s worked well so far:

1. Embedding AI into onboarding + role-based learning paths

We’ve added short, role-specific AI modules into onboarding so new hires immediately understand how AI supports their day-to-day work.

That includes things like:

• Productivity workflows (summaries, drafting, research)
• AI for customer-facing teams
• AI for recruiting (JD optimization, candidate communication, screening support) - this is for the talent team and interviewing teams specifically.

It sets expectations early and makes AI feel like a normal part of the toolkit.

2. Running short AI learning sprints + challenges

I’ve had a lot of success with 2–3 week “AI Sprints” where we pick one workflow to redesign using AI.

It drives adoption faster than traditional courses because people learn by doing, not watching.

3. Using nudges + personalized recommendations

Instead of pushing generic content, we send targeted nudges based on role or skill level.

We also share quick wins, sample prompts, and small automations people can try right away.

These tiny reinforcements go a long way in building ongoing engagement.

4. Sharing curated LinkedIn Learning playlists

I’ve created simple, organized playlists like:

• AI Basics
• AI for Recruiters
• AI for Leaders

It makes it easier to find exactly what we need without spending time figuring out where to start.

5. Promoting everyday AI usage through real examples

We highlight before/after examples, spotlight team members who’ve automated something, and regularly share prompts that work well for us.

Once people see a real workflow improve, they get excited and explore more on their own.

🔥My biggest lesson learned

People don’t need more long AI courses. They need short, relevant, role-based examples they can apply the same day.

Once they see real value, adoption takes off naturally.

We’re using the AI features built into our software and getting comfortable with this new way of communicating and finding content, while still double-checking everything since because we don’t fully trust the content shared yet. We’re also educating candidates on using AI responsibly, encouraging them not to copy and paste answers, since clients expect genuine personal input. And while it’s been a challenge, it’s definitely making our workflow more functional. Tips?!