Practical technology training

Learn it.
Apply it. Own it.

Hands-on programmes that help individuals build employable skills and organisations turn AI, data and automation into everyday capability.

Learning philosophy

Confidence comes
from doing.

Participants work through guided practice, realistic projects and feedback. We adapt delivery to the audience—from first-time digital learners to technical teams and decision-makers.

01

Practice-led

Every module turns ideas into tasks, projects and usable outputs.

02

Role-aware

Examples match the work participants already do or want to do.

03

Responsible

Security, privacy, bias and human oversight are built into learning.

01 / 04

Productivity & innovation

AI & automation

Build practical confidence with generative AI and automation. Participants learn to identify useful applications, create reliable prompts and redesign repetitive workflows.

AI foundationsPrompt engineeringContent & researchNo-code automationAI agents
  • Create reusable prompt and workflow libraries
  • Automate a real task from the participant’s work
  • Apply responsible-use checks before deployment
02 / 04

Insight & decisions

Data analytics

Learn how to clean, explore, visualise and communicate data so it supports better operational and strategic decisions.

ExcelSQLPower BIData storytellingDashboard design
  • Prepare and analyse real-world datasets
  • Build decision-ready dashboards
  • Present insight clearly to nontechnical audiences
03 / 04

Technical pathway

Machine learning

A structured route from Python and data preparation to model training, evaluation and responsible deployment.

PythonData preparationSupervised learningModel evaluationMLOps foundations
  • Build and evaluate end-to-end ML projects
  • Choose appropriate metrics and explain model behaviour
  • Understand the path from notebook to production
04 / 04

Safe adoption

AI security

Help leaders, developers and security teams understand AI-specific threats and build safeguards into policies, systems and everyday use.

Threat modellingData protectionPrompt injectionModel riskAI governance
  • Recognise common attacks and unsafe usage patterns
  • Assess an AI use case before approval
  • Create practical governance and incident-response controls
Delivery options

Designed around
your audience.

Choose a focused workshop, a deeper cohort programme or a custom academy. Delivery can be in person, live online or blended.

01 / WORKSHOPS

1–3 days

Focused capability building for teams, leaders and professional groups.

02 / COHORTS

4–12 weeks

Structured learning, live instruction, projects and facilitator feedback.

03 / ACADEMIES

Custom duration

Multi-track programmes with selection, facilitation, projects and outcome reporting.

A delivery partner for programmes that need to work at scale.

EduTrybe can support public skilling initiatives, donor-funded programmes, employability projects and organisational transformation with curriculum design, facilitators, learner support, assessment and outcome reporting.

Discuss a training partnership →

Start a cohort

What should your people
be ready to do?

Plan a programme →

Tell us who the learners are, the skills they need and the outcome you want to see.