Help employees use AI in everyday work: define tasks, work with documents and data, and check the result. Choose a self-paced course with the Nota AI practice environment or prepare your own internal trainers.
Price on request · excl. VAT and applicable taxes
Self-paced practice or a separate programme for internal trainers.
For companies that need to train a large audience or establish regular internal learning. You can start without a completed AI project.
For people leading pilots and implementation in their functions, explore AI Champions. To select a process and prepare a pilot, start with the Oper8 workshop or a process audit.
A person responsible for the training, examples of work tasks, participant roles and approved tools. We agree the curriculum and data requirements before the start.
Employees read short explanations and complete exercises in the AI practice environment. AI helps within each exercise, reviews attempts against expert criteria and explains what needs work. Participants can ask questions, revise their answer and try again.
How Nota works ↓Prepare corporate trainers, learning designers and subject experts to teach colleagues. They practise with AI, learn to review participants’ errors and deliver trial sessions with our feedback.
How we prepare trainers ↓Use either format independently or combine self-paced practice with trainer-led discussions of tasks and questions.
Nota · AI practice environment
Experts define the curriculum, exercises and assessment criteria. AI supports employees inside each task, evaluates attempts and suggests corrections. Organisers can see progress and where participants struggle.
Compare proposals with different prices, lead times and delivery terms. Prepare a recommendation.
The employee gives AI the materials and comparison criteria, then checks its analysis.
The practice environment points out that delivery cost is missing and one supplier’s lead time is unconfirmed.
The participant corrects the comparison, checks it again and notes what still needs to be requested.
Quality checks are part of every module. Exercises follow employees’ roles and approved tools. Participants work with files, agents and skills in the agreed AI environment; Nota guides learning and reviews completed work. Image creation exercises can be added for roles that need it.
Decide when a chat, search with sources or an agent can help. Respect your company’s data rules and constraints.
Give AI the materials, constraints and criteria for a useful result. Refine the task as you work.
Compare sources, analyse tables and find discrepancies. Check facts, calculations and the basis for conclusions.
Break a task into stages, assign them to AI and set checkpoints. Decide when the agent needs clarification or human permission.
Save context, templates, instructions or skills in an available tool. Repeat the task on new materials and check the result.
Work through the full cycle from a brief to a checked result, such as comparing supplier proposals or preparing client materials.
Include practice in the learning journey. Agree sign-in and transfer of progress to the LMS with L&D and IT.
Agree the connection to Nota, available tools and data handling within your company’s AI environment.
Provide browser access to the course and exercises. Agree hosting and employee access before launch.
Telegram is an additional option. Integrations and data requirements are agreed before launch.
Train-the-Trainers
Internal trainers learn to run practical work with documents, data and agents, explain quality criteria and review errors. They also learn how to update exercises as tools change.
Up to 15 trainers · 6–10 weeks from preparation to pilot sessions · Three months of support
A course built around work tasks, with AI practice delivered through the agreed platform. Experts prepare the curriculum, exercises and assessment criteria. Progress data reveals where participants need help and where the training needs improvement.
A skills matrix by role, curriculum, exercises, trainer materials and results from pilot sessions. The internal team can continue delivering the training.
Price on request for both formats: it depends on the number of participants, scope and duration of use. Prices exclude VAT and applicable taxes.
Six modules and an AI practice environment, delivered through your company’s learning platform, a corporate AI platform or a separate web interface.
Launch timing and scope depend on participant numbers, role scenarios, duration of use and integrations. Hosting and ongoing support are agreed in the proposal.
Task research, a skills matrix, training for up to 15 trainers, readiness checks, pilot sessions and three months of support. The programme takes 6–10 weeks from preparation to pilot sessions, followed by three months of support.
Tools and platforms are arranged separately. Nota is not included in the TTT package; the two formats can be combined by agreement.
A person responsible for the training, participant roles, work examples and approved tools. TTT also requires future trainers and time to prepare and teach. For Nota, L&D and IT agree hosting, employee sign-in, available AI tools and progress reporting.
Discuss the rollout →Need individual places? Ask which future open programmes may fit.
AI Literacy helps employees use AI in their own tasks. AI Champions prepares people to introduce AI in the organisation: select initiatives, assess impact and change processes with colleagues.
If you need both, we agree the sequence: who leads implementation, who teaches colleagues and which skills employees need. Then we select practice and materials for each group.
Explore AI Champions →Start a conversation
Tell us about the team and what they need to learn. We can discuss the starting point, scope and right format on a call.
Compare nine programmes for leaders, employees, product and engineering teams.
Compare training optionsPrepare people to select initiatives, create AI solutions, assess business impact and involve colleagues.
Read about championsFind the processes and teams that should come first when you are getting started with AI.
Explore diagnosticsTell us what your team needs to learn, build or change. We’ll help you choose a training programme or plan implementation.
See the work
Read how a US bid firm chooses which bids to chase from its own track record, and how an executive search firm works with AI agents.
Read the cases
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