SundayLager

Business area

AI Education

From employee literacy to developer bootcamps and executive workshops: corporate AI training where people build with their own work. We teach what we learned building and running real services.

Track record

We mainly work with corporate training firms serving large enterprises. Client names and logos stay confidential under contract.

  • All industries, Cumulative

    1,000+

    Trained employees (as of 2026)

  • All industries, Average

    4.8/ 5

    Training satisfaction

  • All industries, Cumulative

    10+

    Partner companies

Program types

We mix and match based on audience and goals.

All employees

Practical AI literacy

1-day intensive

Practice prompting, data analysis, and automation using your own work files.

Engineering teams

AI agent development

5 to 7-day bootcamp

Build an agent with document search, system lookups, and approval steps.

Executives & leaders

Decision-maker workshop

Half day to 1 day

Criteria for adoption decisions, plus hands-on work with real data.

Teams

Project mentoring

Weekly, online

Turn one real team task into a working automation.

Sample curricula

Examples reconstructed from programs we have delivered.

All employees, 1 day

Practical AI literacy

A one-day course where everyone builds with their own work.

  1. Generative AI basics and setup AM
  2. Prompt structure for delegating work AM
  3. Results from your own documents AM
  4. Data analysis without code PM
  5. Automating repetitive tasks PM
  6. Building a document-based work agent PM

Engineering teams, 7 days

AI agent development

Build an agent with document search, system lookups, and approval steps.

  1. Day 1 LLM API basics From the first call to a useful work answer.
  2. Day 2 Retrieval and grounded answers Build answers grounded in internal documents.
  3. Day 3 How agents work Implement the reasoning and tool-execution loop.
  4. Day 4 Internal system integration Connect lookups and actions.
  5. Day 5 Guardrails and approvals Add human approval steps.
  6. Day 6 Multi-agent collaboration Split roles and verify the results.
  7. Day 7 Evaluation and final demo Check against criteria and wrap up.

How we teach

Short explanations, long practice.

  • Upfront assessment. We first check the work and skill level.
  • Hands-on first. Learners produce results from their own work.
  • Existing tools first. We start with the environment you already use.
  • Finish with a demo. We review what everyone built, together.

Frequently asked questions

How is pricing determined?

It depends on headcount, number of sessions, and customization.

Can the curriculum be tailored to our organization?

Yes. We adjust it to your work and goals.

Is support available after the training?

Yes. The scope depends on the program.

Do we need to prepare a lab environment or tools?

We confirm that together in the upfront assessment.

Is it okay if participants have never used AI?

Yes. We can start from the basics.

Get started

Tell us about your organization

Send a short note on who will attend and your goals. We'll suggest a program direction and get back to you.