#584 How to Create Your AI Learning Plan

13 Aug 2026 · 6 min · 4 chapters

Ask about this episode

Ask anything about it. ChatGPT or Claude reads this page and answers with the times it was said.

Connect VO and ask about every podcast you hear, including the moments you saved. Add to ChatGPT · Add to Claude

In short

How to create a practical AI learning plan using the “learning navigator” tool, mapping what matters now vs. later, and what’s essential in your current job vs. “nice to do.”

Guest backgrounds

No guests mentioned; the episode is hosted by Sarah (no other speakers identified).

Key claims

AI learning goals are often too vague; the navigator helps prioritize and sequence learning tied to day-to-day work, reducing the need for extra study time.

Notable examples

Using Granola for transcripts and then for admin/manual tasks via templates/frameworks connected to Microsoft systems; shifting from prompt practice to adding AI prompts into learning design for skills (awareness/action) with examples; creating team guidelines for AI use; starting a PhD and using Google NotebookLM to gather sources/references; experimenting with Canva AI and agent add-ins; planning next for data/privacy and environmental impact.

Written by AI. May contain mistakes. Listen to the episode to check what was said.

Chapters

Tap a time to open that second in VO

Understanding AI Learning Goals

0:10 to 1:00

Discover common struggles people face when defining their AI learning objectives.

“But often when you dig a bit deeper, people are struggling to articulate exactly what they want to learn when it comes to AI.”

Exploring the Learning Navigator Tool

1:00 to 2:30

Learn about the dimensions of the learning navigator and its practical applications.

“So we're thinking about what matters now.”

Personal AI Learning Focus Areas

2:30 to 4:30

Identify specific AI-related learning priorities based on personal and job needs.

“how am I adding in AI prompts so that we have for any skill, awareness, action and an AI prompt and then showing people kind of what's possible.”

Next Steps in AI Learning

4:30 to 5:50

Understand how to organize future AI learning goals and connect them to job tasks.

“build some things for some of the learning partners that we work with using AI and tech and tools.”
Hear the part that matters, and keep it.Open this episode in VO. Double tap your headphones to save a moment as you listen.
Get VO free

Transcript

Automatic transcript. May contain errors.

0:00Hi, I'm Sarah and in this squiggly shortcut, I'm going to talk about how you can use our learning navigator tool to think about AI. So in our workshops and our work at the moment, the one learning goal that everyone has got is AI. But often when you dig a bit deeper, people are struggling to articulate exactly what they want to learn when it comes to AI. and that's understandable because it is such a big and overwhelming topic often we can be a bit unsure about where to start so I was having a play with this learning navigator that we have created previously when we were thinking about learning in the flow of work to see if it could help me with am I learning the right things in the right order when it comes to AI really thinking about how this relates to my job today and also things that I might want to do in the future too so the learning navigator has two dimensions, which I'll just describe in case you're listening rather than watching.

1:00So we're thinking about what matters now. So right here, right now, like this week at work, and then what might happen next, or if I'm thinking three months, six months out, probably don't want to go too far because it can be hard to imagine with AI at the moment. And then what feels essential in your job, the job you do today, and what feels more nice to do. You know, like if you can find a bit of time you might want to be more playing or experimenting in that area and so when I went through this just to give you a few examples that it kind of really helped me when I was thinking about what matters now and what feels really essential in my role I'd got a few different areas one we've been experimenting with granola but actually what matters now is not just using granola for transcripts but how we can use granola for some of the admin tasks, some of the manual tasks that exist in our company.

1:53So I was trying to be really specific about like, well, what do I need to learn? Can I set up templates, frameworks? Can they get populated? What does that look like? How do I connect that with the systems that we have, say, in Microsoft? So how do those two things talk to each other? So that was one for me. The second one was last year I had a learning goal around prompts, like getting better at prompts, and we use some of those and things like the squiggly skill sprint that we did, prompts for learning, prompts for thinking about your career. I now want to think more about my own learning design.

2:28So when I'm designing learning programs for leaders or everyone in a company, how am I adding in AI prompts so that we have for any skill, awareness, action and an AI prompt and then showing people kind of what's possible. because I think just having examples and case studies and like sharing specific stories is really helpful. So that's second on my list. Third, which came up this week in our team meeting is creating or at least being part of creating some guidelines for our team about how we use AI. So we haven't really done that yet. Everyone's sort of been more in experimenting mode, but you can start to see how this is going to be helpful.

3:09And then number four, which is a new one for me is using google notebook lm which is going to be helpful hopefully for our phd so it's particularly designed for i think research and bringing um sources and references together um so i'm starting the phd now so it feels like relevant now and having a way to bring all that information together feels really essential for me so that kind of made that was like my priority learning list when it comes to ai so even to be honest if i had just done that i found that helpful it helped me to find some focus and then on the rest of my list my nows but nice to do's so this is more have a play have experiment profilers and quizzes I was experimenting with this last week couldn't get it to work that I couldn't get the thing that I wanted to create to actually feel useful but that was fine it still felt like I was learning um I was just sort of failing learning and failing along the way um we're using things like Canva AI a bit more again it's not essential for me but it's like I quite like having a play and sort of agent add-ins like how can agents play a part in my week still not sure about that kind of feels nice to do and something I want to do now there's lots of chat about agents I think it's good to have a point of view but doesn't feel as essential as some of those other areas when I look further ahead into kind of what next so maybe the next three six months what feels essential we are starting to build some things for some of the learning partners that we work with using AI and tech and tools.

4:41So data and privacy, being really clear about what that looks like with what we're building and also the environmental impact because I know that those are questions that will get asked and I want to make sure we're clear about what we're doing and why. So they're on my list. And then my nice to do for next is I still have this idea that visual AI should be able to help people to bring to life their squiggly career so far. And again, we've looked at this a few times, never quite been able to make it work in a way that's felt useful, but I've also never forgot it. So it's still on my learning navigator, but maybe it's something, you know, I'll come back to in the next three or six months.

5:17So if AI is your learning goal or just feels like something you want to learn more about, which is pretty universal right now, hopefully this helps you to drill down into the specifics of well what actions am I going to take when am I going to take these actions and the more that you can connect this learning I think to your day job the easier it is because then you're just adding learning in you're learning as you go rather than feeling like you have to find extra time to learn so I hope that's felt useful if you haven't already and please check out the free AI squiggly skill sprint that we did it's five days probably 10 minutes a day of either watching or listening, and then 10 minutes of having a play with different AI.

6:00And it doesn't matter what AI you use, but that might be helpful for you. Hope that's been useful. I'll be back with another squiggly shortcut soon.

From the publisher

AI is changing quickly, which can make it hard to know where to start. If you're feeling overwhelmed by everything there is to learn, you're definitely not alone.

In this Shortcut, Sarah shares how to use the Squiggly Careers Learning Navigator to turn AI into something practical and personal. Instead of trying to learn everything, you'll identify what matters most for your role, connect learning to your day-to-day work, and create a simple plan you can build on over time.

🎯 What you'll learn

- How to decide what's most useful for you to learn about AI right now
- How to use the Learning Navigator to prioritise your learning
- How to connect AI experiments to your everyday work so learning sticks
- How to create a simple, practical plan for building your AI skills over time

Need some more squiggly career support?
1. Download our free career tools: https://www.amazingif.com/toolkit/
2. Sign up for our Skills Sprints: https://www.amazingif.com/squigglysprints/
3. Sign up for our Squiggly Careers Newsletter, a weekly summary of the latest squiggly career tools: https://bit.ly/squigglynewsletter_pod
4. Order our new book Learn Like a Lobster: https://www.amazingif.com/books/
Learn more about your ad choices. Visit podcastchoices.com/adchoices

More from Squiggly Careers

All 128 episodes
#584 How to Create Your AI Learning PlanSquiggly Careers · 6 min
Listen in VO