Learnuva catalogue program
Digital, Data & AIData & AI Practitioner Program
Use AI and data to amplify your performance.
LearnuvaLearning designed for application
Digital, Data & AIData & AI UpskillingFoundation
Program overview
Use AI and data to amplify your performance.
Data & AI Practitioner Program is an applied digital, data & ai program designed for professionals who need practical digital, data or ai capability who need to strengthen data & ai upskilling. It converts the F.U.T.U.R.E. portfolio architecture into observable workplace practice through realistic decisions, tools, feedback and application. Its promise - Use AI and data to amplify your performance - is delivered through evidence of performance rather than attendance alone.
Competency mapping
What will look different in performance?
Each outcome connects to behavior, practice and evidence so progress remains visible and reviewable.
Primary competency domain: Data & AI Upskilling
Portfolio framework: F.U.T.U.R.E. - Foundations, Understanding, Technology, Upskilling, Readiness, Execution
Target proficiency: Foundation
Observable performance emphasis: Responsible AI & ethics
Future-focused enabler: ethical judgment, digital fluency and evidence-based application appropriate to the role
Detailed learning objectives
From understanding to an applicable decision or tool
Specific objectives guide the curriculum, practice and assessment design.
- 01
Apply ability to use AI in everyday tasks in a role-relevant workplace context.
- 02
Improved analytical thinking.
- 03
Apply ability to build dashboards & reports in a role-relevant workplace context.
- 04
Apply enhanced productivity and decision-making in a role-relevant workplace context.
- 05
Explain the concepts, standards and decision criteria underpinning ai fundamentals for professionals.
- 06
Diagnose a realistic challenge related to responsible ai & ethics using relevant evidence and stakeholder context.
- 07
Apply practical tools for hands-on prompt engineering in a realistic workplace scenario.
Learning architecture
A connected journey—not a list of topics
Every module adds knowledge, practice and an output that builds on what came before.
Module 1 - AI fundamentals for professionals
Participants test ai fundamentals for professionals within Data & AI Practitioner Program through guided tools, verification steps and a workflow challenge. The module ends with a usable artifact or documented behavior to carry into the capstone.
Module 2 - Responsible AI & ethics
Participants test responsible ai & ethics within Data & AI Practitioner Program through guided tools, verification steps and a workflow challenge. The module ends with a usable artifact or documented behavior to carry into the capstone.
Module 3 - Hands-on prompt engineering
Participants test hands-on prompt engineering within Data & AI Practitioner Program through guided tools, verification steps and a workflow challenge. The module ends with a usable artifact or documented behavior to carry into the capstone.
Module 4 - Excel, Power BI, Tableau essentials
Participants test excel, power bi, tableau essentials within Data & AI Practitioner Program through guided tools, verification steps and a workflow challenge. The module ends with a usable artifact or documented behavior to carry into the capstone.
Module 5 - Data visualization & storytelling
Participants test data visualization & storytelling within Data & AI Practitioner Program through guided tools, verification steps and a workflow challenge. The module ends with a usable artifact or documented behavior to carry into the capstone.
Module 6 - Applied digital prototype
Participants test applied digital prototype within Data & AI Practitioner Program through guided tools, verification steps and a workflow challenge. The module ends with a usable artifact or documented behavior to carry into the capstone.
Learning methodology
Practice designed for transfer
Guided labs, tool-based challenges, workflow redesign, evidence checks, responsible-use cases and applied prototypes. Each learning objective is mapped to an observable behavior, a practice activity and a defined evidence source. Facilitators use structured feedback and learners leave with tools that can be applied immediately.
Who should attend
Target audience
- Professionals who need practical digital, data or AI capability
- Managers leading digital adoption
- Teams redesigning everyday work with technology
Evidence of capability
What is assessed—and what participants leave with
The experience combines performance evidence with practical outputs that remain useful after the program.
- Short pre-learning diagnostic to establish baseline confidence and knowledge
- Scenario-based knowledge checks with feedback
- A guided lab and applied prototype assessed against observable criteria
- Applied output or capstone reviewed with a competency-based rubric
- Post-learning reflection and workplace application commitment
- Use-case and workflow map
- Tool-enabled prototype or data artifact
- Quality, security and responsible-use checklist
- Adoption and value plan
- Capstone focused on applied digital prototype
Program FAQs
What to know before you ask
Can this program be delivered for our organization?+
Yes. Learnuva can configure cases, assignments, role context and delivery pattern around your organization while protecting the core competency outcomes.
Is the program available in Arabic and English?+
Programs can be offered in English, Arabic or bilingually. The confirmed language appears on each approved offering.
How will learning be assessed?+
Assessment may include knowledge checks, observed practice, case decisions, work products, applied assignments and a capstone.
Will I receive a certificate?+
Participants who meet the approved attendance and assessment requirements receive the certificate stated on the program offering. Professional credits appear only when verified.
Your next step
Ask about the program and the right delivery format
Share the audience, context and desired outcome. The Learnuva team will follow up with the right next step.