Categories
L&D Tools Learning Strategy

How To Build a Modern Learning and Development Team

Many corporate L&D teams are slow to evolve their philosophies.

The world’s getting psyched about AI, but 90% of L&D functions still use e-learning as their revolutionary delivery method.

We’re in the middle of a transformation that could make or break what we know as the L&D function.

This means we have to rewire not only what we do, but how we do it. That’ll lead to a new look for our local L&D teams. One shaped around providing the best service to your workforce (aka your customers).

Perhaps, the first question should be if we even call it an L&D team anymore? But I’ll leave that debate for another day.


1/ Define the Goals of a high-performing learning team

We start with our ‘why’.

Why are we doing all this and what for? Deep stuff, I know, but we need this clarity before we can continue.

Let’s keep this simple, my take is:

  1. Enable performance and build organisational capability
  2. Provide return on investment to the business
  3. Support the organisational strategy with the right skills at the right time

The ultimate goal of any workplace learning function is to enable and support people in performing at work.

We serve our audience by improving their performance.

They feel good. We feel good, and the company feels good. Plus, better performance should = more business revenue and access to improved career opportunities.

But…for the business…

Corporate L&D is about making an impact on the bottom line. There is no getting away from that. No matter how much it sucks to say.

And that can be achieved by focusing on performance.


2/ Explore the tasks and skills your L&D team needs

Before we explore roles, you need to get clear on the tasks your team does and the skills needed to do these.

To get clear on the tasks and skills you need, try out this exercise.

Tasks vs Skills assessment

Create a table like the one below.

Spend time with your team to analyse the tasks they do today and cross-reference this with the skills the team needs to do these.

TasksSkills
What tasks will your team deliver?What skills will they require to do this?
The Task + Skill pre-assessment

Use this data to shape how and what your team delivers.

If you have no clue where to start, fret not. I have a wealth of industry data to help you get clarity on the skills side.

The modern L&D professionals must-have skills

Here’s what we see from industry analysts in 2025.

1/ Redthread Research

First up is Redthread Research with their Future-proofing L&D: Developing the Right Skills report.

They asked 400 L&D pros: What skills will L&D functions need in the future? Their comments were grouped into 30 skills across the 6 skill categories you see below.

Source: Redthread Research

They revealed the 5 main skills L&D teams self-identified as:

  1. Using and applying AI
  2. Data and analysis
  3. Learning design
  4. Tech literacy (or what I call Digital Intelligence)
  5. Human skills

2/ The Josh Bersin Company

In addition, HR research analyst, Josh Bersin, offers this perspective on the evolution of L&D teams role up to the modern day.

Source: It’s Time For an AI Revolution Report 2025 | Bersin

3/ The Learning and Performance Institute

Then we have this collection of 30 skills that the Learning and Performance Institute positions as a marker of need for teams.

Source: LPI Capability Map

Where RedThread, Bersin and the LPI have a far more polished corporate approach.

I couldn’t round-up this section without including my analysis, which is more minimalistic in its tone.

Every year, I review and distil the latest industry data to identify the 7 essential skills for modern L&D pros. I use data points from industry bodies and research houses (like the above), plus I map this to data that the 5,000+ readers of my weekly newsletter share with me through annual surveys.

These, coupled with my direct work with organisation’s gives me a constant view of ‘what is actually needed’ for L&D teams to survive and thrive.

The image below shows the focus for 2024.

Fret not, the 2025 edition is coming in a few months 👀.

an image of the 7 skills modern learning and development professionals need.

Despite what you read in this section, context is king.

Your org, its culture and business goals will vary. So you need the skills that support this environment.

No matter where you land, I hope we can all agree that the modern L&D team should focus on performance instead of pushing education.


3/ How to identify the most critical roles for your L&D team

Now this, my friend, is much harder to align on in 2025.

I wrote the first edition of this guide in 2018. The only decent tool to surface content back then was Google, yet the times have changed.

We both see how all forms of artificial intelligence are reshaping how we work.

Although tasks and skills can be identified.

Who (or what) actually delivers on the tasks is not so clear-cut anymore. We’re using LLMs and AI assistants to support us with many tasks in a collaborative approach, while AI agents are quickly coming into the discussion as “do it for me” solutions.

Now, identifying who does what is going to come down to:

  • What can only a human do well to the level required
  • What can a human and AI do well together
  • Where is AI more efficient than a human

This is not set in stone as a framework.

It’s how I’m currently assessing roles that could exist in an L&D team in 2025, and I do expect that they will not all be done by a human.

What could L&D look like in 2027?

2027 is an arbitrary number, yet I don’t like to look too far into the future.

To help frame how we can think about a modern L&D team, let’s look at the makeup of workplace teams at large with the help of Microsoft.

Microsoft Work Trend Index Report 2025

I think we’ll see a mix of these over the years.

Probably not a linear progression, especially how tech moves so fast.

Taking all this into account, this is my bet on roles within the L&D team. They could be fulfilled by a human, a human with AI or just AI.

The answer all depends on the tech, tasks and the context of what you do.

And yes, you might lead a team of AI and humans, too.

Bonus: Get a 3 minute overview of that Microsoft research

The anatomy of a modern L&D function

Let’s unpack what modern learning and development could be.

While this section would historically be classified as “roles”, I think of them more as categories where several roles can exist. Maybe we should treat them as mini-departments.

Note that as we’re reshaping what an L&D function looks like in a world of AI, this will not include many traditional roles that are currently accepted as the standard.

Our goal is not to bolt on AI to the existing model.

We’re transforming!

I get that this is very anti-traditional.

While today the function focuses too much on creation, I don’t think that will be the case as we look beyond 2027. Our industry is always slow to adapt, yet in those years from now, I believe we’ll have figured out how to operate creation and curation with AI, mostly.

That’s not to say human oversight won’t be needed, because it will.

But I don’t see as many design or creator roles on the scene when 1-2 people, powered with the right tools, can do the work of a much larger team.

We’re production-focused today, yet I see that balance swinging to the more meaningful side of enablement in the long term.

This isn’t about bolting on AI but rather redesigning what you deliver, and performance enablement is the more human-centred approach to workplace learning (or whatever we call it in 2027).

3 powerful modern L&D roles to invest in

Let’s pretend you put a gun to my head and demand an answer to “what are the most impactful roles?” These would be my answers

1/ The Learning Strategist

A slight bias to this title as it’s the one I’ve given myself in my business.

When you run the show, you can do crazy stuff like this. Anyway, the strategist function is what it says on the tin, it helps define and refine the strategy for the L&D department.

It’s too easy for L&D teams to wander around doing anything and everything, while pretending it’s ‘all part of the plan’, only to have nothing to show for it all come year’s end.

That’s why you need this role.

It may not be one person, but it needs to exist.

Your strategist will:

  • Define the team’s performance and capability strategy (with some sort of CLO)
  • Determine what needs to be done, why and define the return on investment
  • Direct your team throughout the year to focus on the right things, not more things, to achieve the shared strategy.

This is the core of the role, and you can make it as big or as small as you’d like.

2/ The Learning Experience Architect

These aren’t instructional designers, and they won’t focus on building stuff in authoring tools.

Learning Experience Architects (LXA’s) focus on building the right experiences to solve real problems. Forget about creating paint by number delivery experiences.

These people will be front-facing into the business, so they’ll be focused on performance consulting to design and deliver both digital and physical experiences across the organisation (with and without AI).

Your Learning Experience Architect will:

  • Build strong relationships, trust and bring credibility to the L&D team’s work
  • Map out the real problems with stakeholders to design and deploy the best solution (and maybe that’s not an L&D one)
  • Develop the philosophy and design architecture for performance
  • Lead human experiences across physical and digital spaces

L&D is still a business of people.

No matter how much AI integrates across our workflow, people still buy from people, and your LXA’s will be a key part in influencing behaviour change.

3/ Product Manager/ Tech Architect

Naming conventions aside, you can’t have an L&D function without a dedicated focus on technology.

To do that well, you need people who have no clue about learning design, methodologies and all that noise, yet they can work with those who do to craft the best tech stack.

This role spearheads the technology stack that supports both your team and performance across the business.

Your Product Manager/Tech Architect will:

  • Research, test and identify the most useful technology for company performance initiatives
  • Craft the user experience and interface of all L&D technology across your organisation
  • Support for the design and deployment of in-house and external tools
  • Advise the L&D team on tools and infrastructure to support all team performance projects

4 shared skills every L&D team needs to have

I know the world likes to put people in boxes, but I’m not a fan of that.

Your L&D team will be full of specialists and generalists, yet they do need a shared language of skills across the function.

Let’s focus on some of the core shared skills needed:

🤖 AI Fluency

As I update this post in 2025, the last 3 years have been dominated by one word: “AI”.

We say ‘AI’, but what we mean is generative AI, which has kicked off this wider AI arms race. AI itself has been around a long time, yet generative AI, deployed in particular through Large Language Models like ChatGPT, has sparked mass attention across the space.

It would be foolish of me not to recognise this impact and how the skill of intelligently leveraging it is a must, no matter your industry.

AI in itself is not a skill, but knowing how to use it is.

A diagram illustrating how to build AI skills at work, showing a Venn diagram with two overlapping circles labeled 'Experiment & explore' and 'Structured experiences,' with 'Good Enough' in the intersection.

The term “AI Literacy” has been thrown around to describe the collection of skills and behaviours humans need to expertly leverage tools in this category. I’ve recently come to appreciate the term “AI Fluency”, introduced by the Anthropic team, instead. It sounds less education-ish, in my opinion.

No matter what you call it, we all need it.

AI Fluency looks like this:

  • Foundational understanding of how AI works (all types, not just generative)
  • The ability to determine when AI could be a useful part of a solution, and with this, when it should be used and where.
  • The capability to collaborate with AI tools to deliver an outcome (the how).
  • Understanding the opportunities and limitations of AI systems from a technical and ethical perspective

Back when I worked in a team, I was always the ‘tech’ guy.

Everyone would come to me with anything related to tech. That can’t happen with AI, it never should have with tech in general. It’s everyone’s shared responsibility to know how to use AI intelligently.

Plus, it’s a must have set of skills and behaviours for the modern day workplace.

It seems we’ll all need to be AI-native.

Resources:

  1. The AI for L&D Crash Course
  2. AI in L&D resources, frameworks and system playbooks
  3. AI tool and system tutorials

📣 Storytelling (inc marketing and sales)

I’m cheating here a bit because I’m grouping a few categories under one banner.

We’re in the business of people, which means we must be able to connect with them and influence them through change.

That means you have to be a good storyteller.

People don’t change for no reason, and I’m a big believer that good stories entertain peoplebut great stories change people.

Marketing and sales are both forms of storytelling as they serve the purpose of telling the stories of your work, people and the results.

What I’m not saying is you need to learn to be an expert marketer and salesman, but you’d be wise to understand a few techniques.

Our industry falls too often into the trap of build and they will come. Sadly, they don’t.

You can have the most amazing learning content in human existence, but if no one knows it exists, what it does and why it’s important for them ,  you’re pretty much digging your own grave.

You need the whole team to buy into this way of thinking.

It’s something we each do every day, in many ways.

You market/sell your skills to a potential employer, you market ideas to business leaders, and you even use marketing techniques to convince your crush to go on a date with you.

Resources:

  1. What L&D gets wrong about marketing, and how to do the stuff that works
  2. How to use the power of content marketing to amplify your L&D products
  3. The ultimate mini-guide to positioning your L&D products for success
  4. How to master the art of storytelling for business
  5. The rare skills L&D pros need to thrive and survive in the modern workplace

🤝 Performance consulting

Think of Performance Consulting as being the workplace detective of the L&D world.

It’s not just about throwing a training program at a problem and hoping it sticks (or not spraying and praying as I was once told).

NopeYou dig deeper.

You chat with the team, look at the data, and figure out what’s really happening. Then, you come up with a game plan that might be training, but could also be other stuff like better tools, process changes, or even a simple conversation.

The end game is making sure everyone performs better and the business scores a win.

The art of consulting seems lost in L&D teams.

We take a lot of questions, but ask few questions. Sometimes, you have to do this. The nature of your organisation can be tough to change.

Your mission is to partner with the workforce to understand their needs and propose the best solution. That might. not even be an L&D solution 😨.

Resources:

  1. Unpack why performance consulting is so important for the modern L&D pro here.
  2. Craft your skills in this area with The Art of Performance Consulting Masterclass for L&D Teams

🖥️ Digital Intelligence

We’re biological beings living in an increasingly digital world.

This skill isn’t exclusive to our industry. It’s a must for every human.

I’ve spent too much of my career watching people shy away from tech. You cannot do that anymore. I hate to sound like one of those morons on social media who say, “Do this or be left behind”. But I’m going to make an exception here.

If you don’t invest in your digital intelligence, you will be left behind.

Defining Digital Intelligence

Let’s keep this simple.

It’s about being savvy, aware and adaptable with new digital technologies. You don’t need to be an expert but you must be aware of what’s available. Be curious, always.

Our world needs more digital-savvy pros.

As the world of learning continues to be eaten up by tech. You would be wise to become fluent in the language of technology to become a valued strategic business partner.

Graphic displaying the concept of Digital Intelligence, emphasizing skills such as Tech Ability, Digital Literacy, Ethical Awareness, and Agility & Experimentation.

Even outside of L&D, a basic level of understanding of how different technologies work, connect and support one another is essential.

Not every member of your team needs to be an expert in this field, but they should have a shared understanding.

Again, some of you reading this might be resistant and suggest that a technology team should do this.

Your team will know the application for any learning tech better than anyone. They will understand how it works in practice, so keeping up to date with modern technology will always be an enhancer

This knowledge will separate your team from the industry.

If you keep up with trends, absorb what is useful, avoid what is not and apply what works for your audience. You will create a high-performing learning function.


The L&D leader

You may know it as the Head of Learning, Director of Learning, Chief Learning Officer or whatever flavour of the month title is today.

Maybe this is you right now, or it’s one of your aspirations.

Nonetheless, let’s unpack what it means to be an L&D leader in the modern era.

What does a L&D leader do?

The learning leadership role for me is one of a strategist, coach and enabler.

What I learnt quite quickly when heading up a department myself is that 80% of my tasks move to nurturing people.

I still got involved in projects from a strategic standpoint, but doing the actual project build wasn’t part of the gig. This was difficult to get my head around at first.

You’re now in charge of the compass and the map, plus your crew of L&D pros.

That doesn’t mean you stop learning.

Like your team, you will be on top of evolving trends, insights and practices which allow you to nurture a clear vision for the team to work towards.

You enable your people to do what they need to.

A modern learning leader should provide the freedom to experiment, propose new ideas, test stuff and ultimately innovate the way you work.

Of course, context, culture and organisational constraints play a big part in what you can achieve. So don’t be too hard on yourself about this.


This will evolve

As I said from the get-go, this is just how I would build a team today.

Your working

These will evolve as the world changes and the dynamics of the workplace with it. So, don’t take what I’ve shared as set in stone.

I’m sure a year from now my recommendation could look different.

Instead, use these as the foundational building blocks to the function you want to shape.


Final thoughts

When you look at your L&D team today, ask yourself:

  1. Are they providing the service your audience needs?

  2. If not, why not?

  3. Has your team been set up to deliver the service your workplace requires?

I hope this helps.

If you have any questions or comments, you can leave them below, message me directly, or find me for a chat on LinkedIn.


Before you go… 👋

If you like my writing and think “Hey, I’d like to hear more of what this guy has to say” then you’re in luck.

You can join me every Tuesday morning for more tools, templates and insights for the modern L&D pro in my weekly newsletter.

Categories
Skills

The 7 Skills L&D Teams Need For Today’s World

Updated: Aug 2024

Practising what we preach in the L&D industry is not as common as you might think.

We always talk about the latest learning philosophies, skills and experiences other people need. Rarely do I see or hear anyone talk about the modern L&D skills needed to navigate today’s world.

In a world increasingly shaped by remote work and digital platforms, the challenges for L&D teams are mounting.

Categories
Artificial intelligence

Why You Need To Know What Not To Do With AI

After reading an impactful newsletter by Greg Isenberg this week.

I’m even more convinced about the power of knowing what not to do with AI.

You see, in this time of ‘AI can do everything’, knowing what you should keep doing yourself is not only powerful…

It’s CRITICAL.

Because skill erosion is a real problem.

And that’s not AI’s fault, it’s ours. We’re naturally becoming lazy as we indulge in the path of least resistance and instant gratification.

The urge to explore this dawned on me several times last week across my work with clients. I get paid to help companies with AI enablement. Part of that involves identifying best fit tools and how to leverage them. At least, that’s what I’m most tasked with.

No one asks me about keeping the human, and could we say humanness, at the core of it all.

But I bring it to the table, anyway.

So, today, we’re exploring what not to do with AI, and why your future self will thank you for it.

The question no one is asking about AI in 2026

I was sitting in my overpriced home office chair talking to 100 people on a call about how to leverage AI as a strategic thought partner, and not just an automated engine that runs like a conveyor belt for company requests.

The usual questions came down the channel.

  • “Can this create a slide deck for me?”
  • “How do I get it to write this report?”
  • “Can it create these images?”

All basic, always the same and at this point in my time in all this, 100% predictable.

I’m not saying this is a bad thing. After all, the workplace has conditioned us to execute, execute and execute (tasks btw, not people). We want to know what end product we will get, and if it’s worth the time to learn how to use another AI tool.

My answer to all those questions is very different in 2026.

“Yes, it can do all of that. To varying degrees of quality depending on a few factors. Yet, the more important question is: do you want it to do them?

I’ve heard more noise at a morgue than the wall of deathly silence that greeted me.

I get it. They thought they were here to learn how ‘x’ tools can make them do ‘x’ things faster and to the same level that they would do. Not a philosophical analysis on working with AI. 

Despite that, I chucked the question into the void.

There were a few murmurs but I wasn’t expecting any answers from such a large group. No one wants to be the person that says “AI can do my spreadsheets for me, but I love Excel!”, I feel you, human.

My point is the choices we make have consequences.

I’ve spoken about these in this very newsletter for years now.

From strategies to stop AI hijacking your mind to the hidden impact of AI on your skills to the growing skill erosion problem in society.

I even gave a talk last year at DataCamp about “Does AI help or harm skill building?”

The choice you make with AI every day

I’m kinda obsessed with the psychology of all this.

That’s also the reason why I keep sharing this Jurassic Park quote every week: “Your scientists were so preoccupied with whether they could do it, they didn’t stop to think if they should.”

The follow-up to that very quote from Dr Ian Malcolm talks about the aftermath of such choices: “‘Ooh, ah,’ that’s how it always starts. But then later there’s running and screaming.”

Hopefully we have no running and screaming. Yet I’ve made my point.

↳ You have a choice.

Yes, you can create a presentation with x app.

But what do you lose?

  • The blank page thinking of “how do I start”
  • The chain reaction when one out of the blue idea leads to another
  • The ‘aha’ moment when your brain spots a beautiful visual idea
  • That killer story arc you spotted as you structure your thoughts, notes and slides

Maybe it’s all of this, maybe it’s some and maybe it’s none.

Don’t get it twisted, AI is amazing.

I use it every day. I would be stupid not to. It’s no longer an advantage to use AI because everyone does. Spitting feathers on social media on who used AI to do what is pointless.

The real power is in how we choose to use AI.

This is where you have all the power, but my god, do you need to have the restraint of a monk to not follow the herd down the same path.

A common sense framework for a senseless time

I get everything I’m telling you is counterintuitive to what all the “AI bros and thought leaders” say on every social platform.

Instead, I’m looking at the long game. I’m asking what happens in 5 years from now if I stop doing ‘x task’ entirely.

I can’t tell you what will happen.

No one can. 

You do have a choice on how you shape that future, and ultimately, what you would like it to look like. That’s why I loved the suggestion that finished the newsletter I was reading by Greg.

Greg shared an exercise we’ll call the “Non-negotiable.

Source: Greg’s letter: AI is making you dumber and you can’t tell

The funny thing is I’ve been doing this natively so I kinda feel ’seen’ in the fact that I’m actively finding ways to not use AI for every task. 

That’s not because I don’t believe AI can do it, because it can.

It’s mostly because I enjoy doing so many of the tasks I get to do, and I don’t want AI to take my joy from that. Plus, I’m a deep thinking kind of guy (not that you would guess). I’m actually convinced my therapist gets more from me in our sessions than I get from them with my deep introspection, analogies and thought patterns.

Skills, joy and your expertise: You don’t need to trade these for AI

I’m fully on board to keep doing the things that keep the most powerful operating system (your brain, fyi) we have sharp alongside AI. 

I want both my brain and AI to be at their best. Not me being reliant on only an external source. I’d add another component to Greg’s output here of sharpening your thinking, and that’s joy.

Do more of the things that you enjoy.

I know there’s probably some secret Excel lovers reading this, and you know what? If you love dropping data in those cells and pivoting the sh*t outta that table, then you go do that, friend.

Don’t hand that over to AI.

I take this same approach to how I work.

There’s a bunch of stuff I don’t wanna do or is out of my expertise, and AI really helps me here. So I dive in to collaborate with my digital bud.

Then I have my “non-negotiables.” 

For the most part, AI could do more of my tasks but I’m choosing not to let it. That’s not to say I don’t use AI to help me in the process of these tasks, I just don’t automate or delegate to it.

I find too often that we default to ‘automate’ rather than ‘how can we work together’.

One example of what I’m not gonna give AI, is this newsletter you’re reading right now. I love writing this thing. I mean, not all the time, especially when I’m up against the inescapable force of depleting time and I gotta get 1500 meaningful words out the door.

But I wouldn’t change it for the world.

To write is to think and to think is to write.

That’s how I stay sharp. Every week I open a blank doc and drop my unfiltered thoughts in. I leave, come back and drop some more. 

That’s how it starts. 

I’ll then continue to ponder and procrastinate on my words and the message I want to share with you across the next 5 days. I’ve been writing online in some form for 15 years, so I’ve developed human based systems from great writers and thinkers that help me shape my thoughts.

It’s an art and science.

AI only sees my writing when I think it’s 70% there.

Mostly to make sure my spelling, grammar and structure are on point. But also to give me a counter view I might not have seen or unearth an angle I might have missed. 

Sometimes it does this well, often it does not. We spar and disagree about my overuse of sarcasm and analogies, yet we always get to a product I’m happy to put my name on (for the most part, there have been clangers over the years).

So while I don’t start nor end with AI on this task, it helps me sharpen my thinking in the ways I don’t use it.

Specifically, by doing all that pondering and procrastinating that’s led us to this sentence right now.

That is the beauty, joy and challenge you don’t want to lose.

The Endgame? Source: Greg’s letter

Final Thoughts

This feels like a good place for us to end today.

TL;DR (too long; didn’t read):

  • It’s very important to know what not to do with AI
  • Use common sense to keep your mind sharp
  • Don’t ditch the tasks that give you joy (I got your back Excel lovers!)
  • AI is not a god. Disagree with it, let it help you but at the end of the day. Do what’s right for you.

Before you go… 👋

If you like my writing and think “Hey, I’d like to hear more of what this guy has to say” then you’re in luck.

You can join me every Tuesday morning for more tools, templates and insights for the modern L&D pro in my weekly newsletter.

Categories
Artificial intelligence

3 High-Value AI Skills You Need In 2026

It’s crazy out there right now folks.

The LMS is dying (apparently), Roger, the latest automated AI workflow, is going to replace my content engine and make me trillions of dollars while I sleep (allegedly), and Ninja claw, Tigerclaw or Dragon claw will do life for me so I can just wander around asking “why am I here?” (how fabulous).

Jokes aside (I do love them, though), I’ve never seen such a typhoon of pressure on the everyday human.

So, I think we all need to…BREATHE.

Better? Great.

What we can focus on is: What actually matters to us? 

I believe that part of the answer to that is our skills. I get it’s hard to build the “right” skills to work with AI. That’s why I focus on skill sprints of 3-6 months these days because so much is expiring, evolving and emerging all at once.

In this one, we’re exploring 3 high-value AI skills you need in 2026.

What if your AI skills from last year are already outdated?

All the feelings

I know that’s a scary question, but damn does it move fast.

One week I’m happy making my AI assistants smarter with internal knowledge files and now I’m running around extending their capabilities with MCP’s, plugins and all sorts of sorcery.

My point being, sitting still for too long on the technical side of AI tools is becoming somewhat dangerous. I know too many people chasing after tools, but I’m more interested in cross-platform skills that enable high value from the majority of tools.

I have 3 today which I believe will serve you well across the never-ending spectrum of AI applications.

What are AI skills?

An engineer will have a different view on this vs an L&D pro.

I break AI skills into two components:

  1. One component is “How do I use ‘x’ tool and it’s features”
  2. The second is “How do I work with AI tools to get the best outcome?”, which would involve a host of metacognitive skills and behaviours.

AI ‘fluency’ and ‘literacy’ are better ways for us to frame “AI skills”

These frameworks acknowledge that using a generative AI tool, most popular being an LLM, is about more than the technical skill of using the tool alone. Personally, I like the term ‘AI fluency’ because the technology moves so fast. Which means both the tech skills and behaviours you need to work with it are forever updating.

For the purpose of today’s conversation, we’ll focus specifically on the technical skills side of this because I have written a lot lately on the behavioural side.

Definition and explanation of AI fluency with four key abilities: know when to use AI, communicate clearly with AI tools, apply human judgment, and use AI responsibly

Know what’s expiring, evolving and emerging (The 3 E’s)

I do a quarterly skills review.

It used to be every half year, but AI changed that plan.

Your skills are an ever-flowing organism (best analogy I could think of in this moment). That means they never stand still, and without attention, they’ll degrade.

If your goal is to build a talent stack (a combo of your skills, behaviours and attitudes) that’ll keep you employed for the long term, you’d be wise to perform regular maintenance on yours too.

I use a simple framework I picked up from a Gartner report over a decade ago.

All you do is look at your current skills and ask:

  1. What skills are expiring and no longer serve me and/or the world today?
  2. What skills do I need to evolve to meet the demands of today?
  3. What are the emerging skills I can get ahead of?

While I say simple, that doesn’t always equal easy.

You could even spin this as a bit of a life analogy too. We all need to know what to leave behind, what to double down on and what to keep a lookout for.

I’ve tagged each of the 3 AI skills I recommend you invest in with one of these categories to give you a sense of where it’s in your current skill cycle.

3 high-value AI skills you need in 2026

AI Skills Stack flowchart showing Prompting, Context/Context engineering, and skills.md with directional arrows and notes on querying AI, optimizing AI knowledge, and teaching AI how to do tasks

1️⃣ Prompting [Evolving]

Diagram titled Think With AI showing six connected boxes: Assess asks if AI can help with your task; Pre-Prompt lists questions about needed knowledge and examples; Output Analysis checks accuracy and completeness; Challenge prompts questions about missed points and contrarian views; Role Reverse suggests AI asks you questions; Prompt contains a detailed instruction to use provided data for clarifying questions and critical thinking.

No, it’s not dead, but it has evolved.

AI skills have such a short shelf life, and prompting was hailed to be the most important skill of the century. While I didn’t agree then (or now), it is the main way we interact with LLMs.

At its core, prompting is just inputting a query.

A lot of frameworks from 2023-2025 are no longer needed because models have become much more capable with memory and custom instructions. Prompting is also weird because no one template works and two people with the exact same prompt can get widely different outputs.

You still need to prompt, just less skilfully than before because of our next two skills.

Bonus: How To Learn The Meta-Skill Of AI Prompting

2️⃣ Context Layering & Context Engineering [Evolving/Emerging]

Diagram titled Context Layering showing input or request as prompt going to LLMs Claude, ChatGPT, Gemini, and Copilot, which then connect to search access, external documents, apps, and Skills.md

These sound the same but I’m framing them in two ways.

One for builders/engineers and the other for non-technical users.

For builders, context engineering is the science of high-signal curation. They’re not stuffing AI with every possible file. The goal is to build dynamic systems that “just-in-time” retrieve the exact tool, specific knowledge chunk, or agent-to-agent communication needed for the next step.

This is not too dissimilar from what end users like me, and you can now do.

As we start using more AI agents, knowing how to provide the right source, in the right format at the right time is critical. We already see these opportunities with memory, custom instructions, connecting our favourite apps and uploading multiple file sources into our chats.

Context engineering for the everyday human is about building the infrastructure around the AI, so it has everything it needs to make better decisions.

An art and science in itself.

We could say that prompting + context layering + skills/instructions = the 3 layers of a strong AI response.

Fyi, I have a guide and a video series on context layering/engineering coming in a few weeks.

3️⃣ Creating Skills for AI [emerging]

The best example of this is Claude Code and Cowork.

You can create a skills package which teaches the LLM how to perform a task. It’s a combination of context, instructions and guidelines that can repeatedly do the task with little oversight.

To make the best use of this, you’ll need to get comfortable with creating Markdown files. In these, you’ll unpack not only how to complete a task but why, and all the micro elements that make up the big choices. Then maintaining that skill just like you do with your own.

We’ll see this capability with more LLMs across this year. The great thing is you can take your .md files to any tool, so maybe we’ll all be building .md files now.

The real skill here is knowing how to break down a process for an LLM to understand with a combination of instructions, examples and evaluations.

Final thoughts

Ok, folks.

That’s my thinking out loud for the day.

Obvs, AI moves so fast, these are relevant skills right now, but maybe not forever.


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Categories
Artificial intelligence

The 4 best (and free) AI courses for L&D teams

Whenever someone asks me, “How do I learn AI?” I have to pause because it feels like it’s a double-loaded question.

I understand why people want to ask me that, especially in my line of work and visibility in showcasing different use cases of artificial intelligence specifically in the realm of learning and development.

Despite this, it’s still really hard for me to give a concrete and clear answer.

It’s difficult because there are so many courses, resources, and experiences that are available to you. For the most part, they all sound the same, look the same, and tell us that they’re gonna give us the same outcome.

I’m always of the belief that there isn’t one tool, one method, or one strategy to rule them all.

And… to top it all off, the term “learn AI” is pretty ambiguous.

What I assume they mean is to understand how a generative tool, like an LLM, works and how they can work with it to get their desired results.

That’s how I’ll frame this for today’s advice.

How do I know which AI course is right for me?

To help someone, you need to understand:

  • What is the context of the individual and organisation?
  • What are the constraints they may be experiencing?
  • What is their current starting point?

Without understanding all of these key inputs, it’s very hard for anyone to give you a clear answer to the question I’m constantly posed.

Now I know you’re probably reading this and thinking “oh God please stop writing so much and just tell me what I should do.”

So that is exactly what we are going to do today.

While I’m not gonna give you a clear 100% “this is the course to rule them all”, what I will do is share a selection of choices.

What is AI Fluency?

I’ll be using this term a lot, so let’s unpack it.

A simple way to define AI fluency is the ability to understand, use, and effectively collaborate with AI tools in your day-to-day life and work.

AI fluency is not about turning people into software programmers or highly technical experts. Instead, it simply means equipping people with the confidence and capability to think and work alongside AI.

In practical, easy-to-understand terms, being “AI fluent” means you know how to do the following:

  • Know when to use it: Understanding what AI is actually good at, recognizing its limitations, and deciding when a task needs a human touch instead.
  • Communicate clearly: Knowing how to give AI tools the right instructions (prompts), context, and constraints so they give you helpful and accurate results.
  • Apply human judgment: Critically evaluating the information AI gives you rather than taking it at face value. This means being able to spot mistakes, biases, or missing context.
  • Use it responsibly: Understanding the basic ethical guidelines of AI, such as protecting sensitive or private data, and taking ultimate responsibility for whatever the AI helps you create.

I like this framing because it’s about treating AI as a capable “thought partner” to make your life easier, while always relying on your own human judgment to steer the ship.

Now we’ve clarified that, onwards we go.

How I assessed these zero-cost AI courses

Okay, here’s the method to my madness with this assessment.

I’ve looked across the market at all of the courses which are tagged with ‘AI fluency’.

There are a lot of free resources on YouTube with a varying degree of quality to consider, but I’ve not included these here because that’s really based on your own taste.

This led me to focus my testing on the leading AI and tech companies building the tools we know. The idea is since they’re building these tools, they might just be a good place to learn about their capabilities.

With that focus, I spent the last six weeks completing courses from the following companies:

  • Google
  • DeepLearning.ai
  • Anthropic
  • Microsoft

That gives us four courses in total.

You’ll notice one big omission here from OpenAI.

I did visit OpenAI’s Academy to try and find some resources and courses for the general population. But I found the Academy very difficult to navigate. I didn’t really find anything beyond the ability to sign up to webinars, and rather outdated looking help articles.

That’s not to say that I dislike OpenAI at all.

I would be more than happy to add them into this once I see an improved offer and can feel confident in recommending that to you.

My recommendations for each course will include:

  1. What does the course cover?
  2. Who would it benefit the most?
  3. What will you tangibly walk away with that you can use the next day?

Now, a disclaimer for you…

The right choice for you is contextual, and depends on the 3 questions I posed in the opening section. I’ll give you my recommendations on which courses are truly worth your time in the sea of hundreds currently available.

Yet, your choice on which of the 4 is most useful to you is…well, down to you.

You can use these options for your company, too

Long-time readers will know I’m all about the value!

Since I’m not part of the AI bros club (let’s be honest my hair is far too fabulous and fashion sense too cool for that), where you get literally nothing outside of “This changes everything” comments, I’m making these recommendations not only for your development, but that of the teams you support too.

A lot of organisations are asking you to lead or play a big support role in adoption of AI.

The good news is once you’re confident with the content, you can then use it to your advantage to enable your org to be just as smart with AI (if you want to, of course).

A table summarizing the best free AI courses, including course names, levels, target audience, key takeaways, and verdicts.
The 10 second answer

The 4 AI fluency courses I’d recommend for L&D pros

Let’s get this show on the road.

This will be the only playbook you need, and I’ll do my best to keep it updated as the years roll or until my battery dies (hopefully, not anytime soon).

AI For Everyone by Deeplearning.AI

Funny name for this one because I don’t believe it’s for everyone.

Of all the courses I share today, this one is the most advanced-ish, so I’d reserve this for those who are farther down the yellow brick road of AI awareness.

Who it’s for:

This was one of the first AI courses I came across in mid-2023, although it covers much more than Generative AI. It’s taught by Andrew Ng, Founder of Coursera and Google Brain (a deep learning predecessor to the more well known Google DeepMind), and an actual computer scientist.

So yes, this guy legit knows what he’s talking about.

While I found this experience great for my inner nerd, it’s certainly only for those who want a broader understanding of everything AI, not just LLMs and everything under the generative umbrella.

Maybe one best placed for my fellow learning tech folks.

What it does well:

The course gives you everything you’d need to know about AI without being an engineer.

Talking head videos and resources are clearly explained, and easy to download for your future viewing pleasure.

Where it falls short:

Now, this only falls short depending on your context.

If you’re not an engineer or don’t care about getting deeper into an AI specialised role, then it will probably fall short for you in many areas with its overwhelm. It is stuffed with lots of info, and most is non-relevant if you just use a standard LLM every day.

I mean, it has no hands-on use of AI tools but I find it hard to see where this could be weaved in with all the Matrix level explanations.

Verdict:

  • ❌ Skip, if you’re 95% of average AI users.
  • ✅ Dive in if you’re an engineer, curious nerd or want to make a career pivot to AI as a broader category.

Google AI Essentials

Ok, let’s see what the big G has to offer.

While they came late to the useful LLM party, it can’t be denied they’re certainly a frontrunner with their abundance of tools and Godzilla-sized ecosystem.

Who it’s for:

This is pitched at the pure beginner. If you or your teams look at an LLM and have no clue what’s going on, this is the place to start.

Google’s team give you an overview of the basics that’ll give you a better standing in those workplace conversations.

What it does well:

Like I said, it’s framed perfectly for beginners, and in the traditional online course delivery we all know, but maybe don’t love. There’s plenty of focus on low-level tasks where you can collaborate with AI, and a surprisingly good overview of prompting too.

Where it falls short:

Like most choices on this list, the videos are super corny.

Even more so with these Google ones. I feel like the real humans could be avatars because the delivery is so scripted and robotic which breaks any form of immersion.

If you know the basics and are confident with generic LLM activities, you won’t get much from this.

Note: If you want to go to the next level, Google offers a paid professional certificate which bolts on a “How to build with AI” category, which is missing from all of the above. Free to access tools like Google AI Studio are criminally underrated because they’re pitched as “developer” tools but are very easy to use once you’re set up with some basic knowledge. This course provides that next step in your AI fluency journey.

Verdict:

  • ❌ Skip if you’ve been using LLMs for a few years and know the basics.
  • ✅ Dive in if you’re at beginner territory and need to build the foundations with understanding and working with LLMs

AI Fluency: Framework and Foundations by Anthropic

I know I said “this isn’t a competition with one winner”…but…

This one is my most highly recommended for everyone.

I like this one because it’s focused on “how to work and think with Gen AI and LLMs as a category”, rather than, “here’s how to use our tool”. It does a good job on prompting you (pun intended) to think about how you engage with AI and its outputs.

This is more valuable for the long game with AI. The tools will change, but investing in how you think and work with AI won’t.

Who it’s for:

It’s for anyone ready to move beyond tools and templates and start thinking with AI.

So, basically, everyone reading this.

Simply having access to AI doesn’t make you competent and fluent with AI.

Anthropic

What it does well:

The course gives you a clear fluency framework you can pick up and implement with a few tweaks. The exercises (when you find them) are practical, immersive, and teach you to think about how you’re working with AI, not just what you’re asking it.

There’s a strong breakdown of techniques that improve both AI outputs and your own thinking in the process, and I liked the encouragement to work alongside a LLM to solve the problems the course unpacks.

Where it falls short:

The UX needs work.

Exercises are buried below the fold with no direction to scroll down. I was surprised an instance of Claude wasn’t embedded for these. Why not include live demo exercises in the videos to actually model thinking with AI?

There’s also a section covering transformers, compute, and tokens. Nice to know, but for most people this isn’t the advantage the course frames it as.

Verdict:

 Take it. 

It teaches you how to work with AI, not just how to use a tool. That alone sets it apart from 90% of AI courses out there right now.

I can’t think of someone who wouldn’t benefit from it.


AI Fluency by Microsoft

I know a lot of companies are using Microsoft infrastructure, so it was a no brainer to include this one.

The ultimate assessment of ‘if this is right for you and your teams’, is if you’re using Copilot as your go-to company LLM.

Who it’s for:

The easy answer is if your organisation’s LLM of choice is Copilot and you want to make the most of it across all the popular MS apps.

What it does well:

A comprehensive walkthrough of Copilot that’s perfect for any MS powered organisation. If you’re using Microsoft tools, you can’t go wrong here.

You also get a good overview of AI Fluency (according to Microsoft) and ideas on how to amplify its principles across a team, department and org level.

Where it falls short:

It’s painfully long, and stuffed with too much unnecessary content.

When you look at it, it’s just poor design. There’s some good stuff here but it’s buried by mountains of content. It felt like the brief was ‘how much can we stuff in?’. This is the biggest problem for this one. If you’re a copilot user, it’s made for you but you’ll be going through a lot of ‘nice to know’, not ‘this is actually gonna help me do better work’ content.

I don’t like the gamified angle with experience points either.

That might be just me, yet I felt like I was in some 90’s retro game at points, and I didn’t want to be there.

Verdict:

  • ❌ Skip if you’re not using Copilot
  • ✅ Dive in if you’re using Microsoft across your organisation with Copilot but select the parts that make most sense for your work, as you don’t need everything on offer here

The elephant in the room

There is a rather oxymoronic angle to all these courses.

We’re being told as an industry that AI will change learning and education forever.

Yet, each of these companies decided to build courses around the traditional module structure with speaker videos and text based exercises.

I would have loved to see more application of AI in teaching AI.

Keep an eye out on my YouTube channel because I’m going to share how some of these could have incorporated the tools they’ve built.

You can start with this AI coach I built for one of my courses.

How I would learn about AI if I did it all over again

Graphic featuring free AI fluency resources for learning and development, including 'AI Foundations', 'Think with AI', and 'Practice with AI', with associated courses from Google and Coursera.

The biggest takeaway today might be this.

If I was starting all over again as an L&D pro with little understanding of AI, I’d:

1. Take the Google AI Essentials course to build your tech foundation

2. Take the Anthropic AI Fluency Frameworks course to build your “thinking with AI” foundation

3. Create a free Google account to access Google AI Studio, where you can test prompts, build apps and learn about agents in one place.

That’s it.

Google’s AI Essentials gives you everything you need to know about generative AI, and Anthropic’s fluency course builds on this by teaching you how to work and talk to AI without degrading your power of thought. Google’s AI Studio is the cherry on top as it lets you practice everything in one space with free access to top models.

That’s my zero-cost learning plan for you 😉.

Final thoughts

There you have it, friend.

These are my picks of the most impactful zero-cost AI courses worth checking out. Like I said, there’s no overall winner, just what works best based on your context, experience level, and goals.

I hope this helps you build your skills and enable those around you with AI too.

Let me know your thoughts on these courses, and any I missed that you think I should check out.

See you next time, human.


Before you go… 👋

If you like my writing and think “Hey, I’d like to hear more of what this guy has to say” then you’re in luck.

You can join me every Tuesday morning for more tools, templates and insights for the modern L&D pro in my weekly newsletter.

Categories
Learning Strategy

These 3 Frameworks Make Me a Better L&D Pro (and Human)

God damn AI, am I right?

It’s everything, everywhere, all at once, and kinda feels like a chokehold at times, or maybe that’s just me.

Yes, I have contributed to this myself in my domain of learning. I love to endlessly explore how modern technology can enhance and amplify human learning, but these AI bros on social media are making it hard for me to keep enjoying that.

Nonetheless, while AI is cool, sexy and is an integral part of the infrastructure of how work and learning are done, we have more to life than those two little letters.

So, I thought what better way to bring some balance to AI everything than by sharing some good old-fashioned analogue tools that any human can plug and play.

1/ How to find your purpose in the noise of life

A diagram illustrating the Japanese concept of Ikigai, depicting four overlapping circles labeled 'What you love,' 'What you are good at,' 'What the world needs,' and 'What you can be paid for,' with 'Ikigai' at the center, representing a reason for being.

There’s a lot of noise in the world.

We compare ourselves to others we shouldn’t, fear the tech takeover and continue to be glued to sensationalist headlines curated by outlets that position themselves as ‘news’.

It’s tough, and I feel it too.

Before the tidal wave of AI, ‘purpose at work’ used to be one of the top drivers in both L&D and employee engagement strategies. It’s fallen to the side in the rush to jump on the AI bandwagon, yet, it feels like a crisis of purpose could be on the rise.

If AI is threatening to do everything that we do, where does that leave me and you?

It’s for that reason that purpose both at work and in real life is having more of a moment.

A 2025 Deloitte survey across 44 countries with 24,000 participants uncovered that 89% of Gen Z and 92% of Millennial respondents class purpose as paramount to job satisfaction. We see this backed up in research from Gallup, where they discovered that employees with a strong sense of purpose are 5.6x more engaged with work than those with low purpose.

So, bottom line…purpose, meaning, or whatever you label it, is incredibly important in work and life.

The natural question becomes: ‘How do I define my purpose?’, a big question, but one only you can answer. I shared a few strategies that have worked for me in this pursuit in a recent edition of my newsletter. I’m not saying they’re ‘the way’, but they’re ‘a way’.

2/ Would you pay to use your own L&D product?

Graphic outlining five key questions for evaluating a learning and development (L&D) product as a subscription service, including topics like market fit, customer discovery, retention, human-centered design, and a reality check.

DRAMA…

But I feel like it has to be said, as it is the ultimate test in my opinion.

If you’re not prepared to cough up, let’s say, $100 a year to use your L&D product, then don’t expect your workforce to do it.

This is the same question I ask when crafting my products and services. We each vote with our time, attention and money. It’s the ultimate compliment for someone to say ‘yes’ to all three.

I can sleep at night knowing I say YES to these.

I encourage you to reflect on the same at the start of every year when everyone talks about ‘Learning Strategy’.

Don’t just focus on strategy, understand the value.

Ask your whole team, if this was a paid product, would we all pay to use it?

The answer to this is everything you need to know.

Dropbox, the cloud storage provider, was created in this way. Drew Houston, the CEO, was so frustrated with existing solutions that he built his own. He pays for it, and it turns out millions would pay for it too.

If you wouldn’t buy your own product, why should anyone else?

P.S. Get more on this and my 8 counter-intuitive questions to ask at your next L&D team strategy meeting in the members-only edition of my newsletter.

3/ The simple skill-building strategy to stay relevant

Graphic with the title 'A No-BS Approach to Skills' and three questions about skill relevance, including 'What skills are expiring?', 'What skills do I need to evolve?', and 'What are the emerging skills I can get ahead of?'

Ahh skills…why do we insist on making it so hard?

Our industry is built to support best in class skills, yet we find so many ways to make it complicated with complex terminology like oncologies, taxonomies and the latest ‘skill-based systems’, whatever that means.

I feel exhausted just reading that last sentence.

It can be simpler, it should be simpler.

Part of my rituals at the beginning of the year involves analysing my skillset, but with none of the complex tools our industry chucks at us. Instead, I use something much simpler to ensure I have the most cutting-edge skills to do what I do, and keep ahead of the pack.

This is what I do.

I grab a notebook or open a doc and do the following:

  • List my current high-level skills
  • The emerging technology, trends and challenges in my industry

Then, I ask these questions:

  1. What skills are expiring and no longer serve me and/or the world today?
  2. What skills do I need to evolve to meet the demands of today?
  3. What are the emerging skills I can get ahead of?

Yes, it’s that simple.

You can call me crazy, but I believe you could graft this onto a much larger population of a workforce, too. We’re often convinced that it all needs to be complex to be valuable, but that’s not right.

Sometimes the simple things can have the biggest impact.

Final thoughts

Ok, that’s it for this one, friend.

Expect more analogue and digital tools to keep coming your way. At the end of the day, we all know that any tool is only good in the hands of a competent human.

→ If you’ve found this helpful, please consider sharing it wherever you hang out online, tag me in and share your thoughts.


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If you like my writing and think “Hey, I’d like to hear more of what this guy has to say” then you’re in luck.

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Categories
Skills

When did we lose the love of doing the work?

I have a confession…I like to work.

Yet, I find myself in rare company these days as so many seek to use AI to ‘do the work’ instead of collaborating to do ‘your best work’.

I think that’s gonna be a big problem and I have some thoughts on that.

Before GPT

The first time I used a generative AI tool was back in early 2023 when a colleague introduced me to a platform called GPT 2.5 from, at the time, a little known company called OpenAI.

ChatGPT didn’t exist yet.

This was it’s basic form before we experienced life through a prompt bar. The only people who were playing around at this point were nerds like me. After I got around the not so friendly interface, I saw the impact of this tech’s early potential.

At that time, I kept thinking this would be a great way to collaborate with technology to do better work.

What I couldn’t see at that point, or perhaps didn’t want to recognise, is humanities desire for instant gratification and the obsession to outsource/delegate every piece of work. The current AI marketing from all corners of the industry leans on this sense of ‘work is bad, so let AI do it for you’. I know that sounds like some weird slogan from a commercial in the 60’s.

The purpose of work

I get a great deal of value from my AI tool stack.

Perhaps I’m the weird one but my focus with AI is to help me to my best work, not outsource it.

The work, very much like learning, is where the hard stuff happens.

The ‘aha’ moments you would never have conceived without the focused effort, the seemingly unrelated events that craft a connective bridge of ideas which lead to something incredible.

My industry of workplace learning has/had a saying “Learning is the work and the work is learning” – its something like that.

It seems like too many of us have fallen out of love with doing the work.

Again, the problem isn’t AI, it’s us.

Our intentions have become skewed in the promise of an era where an artificial intelligence will do anything and everything for you. Yet, we rarely sit back to ask “Just because we can, does it mean we should?”, and even if we can, do we really want to?

Doing ‘the work’ is a big part of purpose for many.

Purpose, meaning and fulfilment is a dumpster on fire that is quickly rolling across society as we race to delegate, automate and outsource everything in the pursuit of “reclaiming time” or “Being efficient”.

We may not see it now, but its coming.

A bit of effort, struggle and focus is not bad for you, so don’t discount “Doing the work”.

“If you don’t make mistakes, you’re not working on hard enough problems and that’s a big mistake.” – Frank Wilczek


Before you go… 👋

If you like my writing and think “Hey, I’d like to hear more of what this guy has to say” then you’re in luck.

You can join me every Tuesday morning for more tools, templates and insights for the modern L&D pro in my weekly newsletter.