Decidr

But without proper training and education, even the best tech falls flat. An AI course isn’t just a nice-to-have - it’s a crucial step in turning your team into innovators, not spectators.

Without education, AI adoption often fails

AI promises big transformation, but without specific, realistic skills, your strategy is destined to stall.

The reality is, your people need to know how to make the most of these powerful tools - and that starts with education.

Turning your team from bystanders into contributors is what lets you grow, adapt and outperform your competitors.This might mean developing skills such as:

• How to identify high impact business problems for AI to solve
• How to collaborate effectively with data and technical teams
• How to leverage generative AI for faster, more creative content production
• How to interpret data, spot patterns and make smarter decisions
• How to manage change and guide colleagues through transformation
• How to oversee and govern responsible and ethical use of AI across your enterprise.

Why AI strategy is more than just tool training

Some companies confuse training with a brief platform walkthrough.

To be clear, this kind of training - clicking menus, navigating screens - isn’t enough.

Your team needs a deeper understanding of things like the kinds of problems you can solve with AI, how you can apply this in your routines and workflows and how your teams can collaborate alongside your tools.

This approach lets you move forward strategically instead of reacting or guessing.

Skills to look for in a modern AI strategy course

When evaluating a training course, make sure it covers:

• Practical applications - not just theory.
• Frameworks for choosing and evaluating tools.
• Managing human-machine collaboration and creativity.
• Design thinking for enterprise-wide transformation.
• Ethical consideration and responsible use of AI.
• Change management - helping your team adapt.

This combination prepares your team for ongoing transformation, not just a moment’s upskilling.

Online vs internal training: What works best for teams

Should you bring training in house or connect your team to an external course?

Online training can be convenient, flexible and cost effective, especially for large or dispersed teams. On the other hand, in-house sessions enable you to contextualise the learning to your business’s unique goals and processes.

Often, the best approach is a blend: a custom workshop supported by a well-structured online curriculum. This way, you get maximum impact, delivering both tailored guidance and broad, flexible training that prepares your team for whatever comes their way.

How to evaluate a course or provider

Unsurprisingly, several “AI gurus” have already begun peddling their wares and it’s important to remember that not all learning is created equal.

Consider these key questions when choosing a course:

• Do they have real world experience, or is it all theory? Have they worked for an AI company or helped real brands execute their AI strategy?
• Are the instructors credible practitioners in their field?
• Is there a clear path forward after training (such as a community of practice, follow up sessions or additional resources)?
• Are there strong support mechanisms to help your team as they apply their new skills?

This approach helps you separate fluff from substance.

Don’t build your AI strategy blind

Getting your team up to speed is the missing piece in your transformation. Without proper training, your AI strategy is a shot in the dark - a guess instead of a game plan.

Turn uncertainty into confidence by choosing training that prepares your people for whatever comes their way. Remember, your team is still your greatest asset and their ability to grow alongside your platform is what guarantees your ongoing transformation.