For innovation and transformation leads
Roll out AI before your company falls behind
A 4-week AI training for you and your team. You leave with a rollout plan and a before and after to show leadership.
Book a callGet detailsThe problem
People expect you to bring in AI, but the path isn’t clear
AI use stays isolated, and what your team knows lives in people’s heads
You can’t track what each AI solution costs in tokens and people’s time
Hard to tell which AI tools fit and what they deliver
Example of the end result
JetBrains makes developer tools used by millions of developers. TeamCity is its CI/CD product.
At JetBrains TeamCity, 22 people, from product managers to support, built 10 AI prototypes on their own tasks in 4 weeks. Our experts rated 7 of them as high potential for production, and about 90% of the team worked on a project.
Read the TeamCity case studyWhat you’re leaving with
A rollout plan and a list of what to decide internally
A clear view of what to change first
One goal and a before and after to show leadership
Critical thinking to choose the right tools and explain the results
How the training works
1
Find the critical points
We find where AI will give your company the biggest result. Your team names the tasks that take too long or give inconsistent results.
2
Learn from past attempts
We look at what you’ve already tried and why it didn’t take off.
3
Build the rollout plan
We write it around your current goals and stack.
4
Train your team
People learn to run these processes, and some become AI drivers who help their teammates.
5
Practice on real work
Every module mixes learning with building, with feedback from our engineers.
What the training covers
The modules are the same for every team. The projects come from your team’s own tasks.
Module 1
AI essentials and ethics
How AI models work, where they fail and how to use them responsibly.
Module 2
LLMs and multimodality
What language models can and can’t do with text, images and files, with hands-on practice.
Module 3
Context and prompting
How to give AI the right context, with advanced prompting and RAG over your own documents.
Module 4
Agentic workflows
How to build agents for multi-step tasks, and when a fixed workflow does the job for less.
Start with a free live workshop
Dec 10 · 7 PM GMT+2 · 90 minutes
Workflow or Agent? Pick right and save AI development costs
Learn to pick the simplest setup that does the job and spend less on tokens and people’s time.
Save a free seatThe training
Result-oriented training for you and your team
For
Innovation leads with their teams
Size
About 20 people
How long
4 weeks
Format
Practical, with live sessions
Trusted by teams at
Find out where to start
Book a call