Five track certifications
- d2itech AI Foundations (Track 1)
- AI-Ready Professional (Track 2)
- Certified Prompt Engineer (Track 3)
- Domain AI Specialist (Track 4)
- AI Leadership Certificate (Track 5)
Course catalogue 2025–26
Seventy-five courses. One curriculum.
Complete course outlines for four programmes: AI Skills, AI & Data Science Skills, AI Infrastructure Skills, and Building & Operating AI Systems. From a first half-day AI literacy session to production-grade AI systems engineering.
Showing all 75 courses
AIS
AI Skills Programme
AI Skills for Everyone
Thirty-three practical courses across five tracks, from the general public to business executives. No technical background required for most courses. Arabic and English delivery. Eight industry sectors.
- Courses
- 33
- Tracks
- 5
- Total learning
- ~258h
- Sectors
- 8
Learning pathway: five-track journey
- Track 01
AI for Everyone
General public · No prerequisites
6 courses · ~36 hrs
View courses - Track 02
AI for Office Workers
All office professionals
7 courses · ~52 hrs
View courses - Track 03
Prompting & Prompt Engineering
All professionals · core AI skill
6 courses · ~44 hrs
View courses - Track 04
Prompt Engineering for Special Domains
Industry specialists · 8 sectors
8 courses · ~72 hrs
View courses - Track 05
Advanced AI & Leadership
Managers · Executives · Founders
6 courses · ~54 hrs
View courses
Track 01 of 05 · Beginner · AR+EN
AI for Everyone
Six jargon-free courses for curious beginners — any age, any background
- General public · No prerequisites
- 6 courses · ~36 hrs
Key outcomes
- Explain AI confidently in Arabic or English
- Use ChatGPT & Claude
- Spot deepfakes & scams
- Protect personal data
- Create AI art & stories
Certification: d2itech AI Foundations
Track 02 of 05 · Beginner → Intermediate
AI for Office Workers
Seven courses — immediate workplace impact, no technical background required
- All office professionals
- 7 courses · ~52 hrs
Key outcomes
- MS Copilot proficiency
- AI writing & editing
- Data analysis without coding
- Meeting automation
- UAE AI policy compliance
Certification: AI-Ready Professional
Track 03 of 05 · Beginner → Advanced
Prompting & Prompt Engineering
The core AI communication skill — first prompt to production-grade engineering
- All professionals · core AI skill
- 6 courses · ~44 hrs
Key outcomes
- Production-grade prompts
- RAG pipeline design
- AI image generation
- Evaluation frameworks
- LLM red teaming
Certification: Certified Prompt Engineer
Track 04 of 05 · Specialist · 8 Sectors
Prompt Engineering for Special Domains
Sector-specific AI with deep UAE and MENA regulatory context throughout
- Industry specialists · 8 sectors
- 8 courses · ~72 hrs
Key outcomes
- Domain-specific AI workflows
- UAE regulatory AI compliance
- Sector vocabulary prompting
- Industry risk management
Certification: Domain AI Specialist
Track 05 of 05 · Advanced · Managers & Executives
Advanced AI & Leadership
Six executive and entrepreneurial courses for those leading the AI era
- Managers · Executives · Founders
- 6 courses · ~54 hrs
Key outcomes
- AI strategy & roadmapping
- No-code workflow automation
- UAE AI 2031 compliance
- AI organisational readiness
- AI startup pitch skills
Certification: AI Leadership Certificate
Certifications awarded
- d2itech AI Foundations (Track 1)
- AI-Ready Professional (Track 2)
- Certified Prompt Engineer (Track 3)
- Domain AI Specialist (Track 4)
- AI Leadership Certificate (Track 5)
AIDS
AI & Data Science Skills Programme
AI & Data Science Skills
Twenty-one courses across five tiers — from Computer Science Core to Capstone & Specialisation. Rigorous enough for university credit. Practical enough for Monday morning.
- Courses
- 21
- Tiers
- 5
- Training days
- 42+
- Capstone project
- 1
Programme structure: five tiers
- Tier 00
Computer Science Core
Foundation
3 courses
View courses - Tier 01
Foundations
Foundation
4 courses
View courses - Tier 02
Core AI & Machine Learning
Intermediate
5 courses
View courses - Tier 03
Applied & Industry Skills
Advanced
6 courses
View courses - Tier 04
Capstone & Specialisation
Expert
3 courses
View courses
Tier 00 of 04 · Foundation
Computer Science Core
The bedrock every CS degree stands on
- 3 courses
Before any AI-specific content begins, three courses establish the computer science fundamentals that any accredited degree program expects: the data structures and algorithms that determine whether a system scales, the discrete mathematics that gives algorithms their formal grounding, and the classical AI techniques that came before machine learning and still underpin how modern AI agents reason.
Tier 01 of 04 · Foundation
Foundations
The academic core — math, statistics, and code
- 4 courses
Every credible AI programme rests on three pillars: the mathematics that describes how models learn, the statistics that lets us trust their outputs, and the programming skill to put it all into practice. Built to mirror first-year university data science curricula — giving learners a foundation that travels with them across every AI tool they'll ever use.
Tier 02 of 04 · Intermediate
Core AI & Machine Learning
The engines behind every AI product
- 5 courses
With foundations in place, learners move into the algorithms and architectures that power modern AI — from classical machine learning to the neural networks underlying today's generative tools. This tier demystifies the black box, giving professionals the conceptual fluency to evaluate, question, and apply AI responsibly.
Tier 03 of 04 · Advanced
Applied & Industry Skills
Where AI meets the balance sheet
- 6 courses
Production-ready skills anchored to real business problems — AI Agents, RAG for Enterprise, MLOps, demand forecasting, and product management. These six courses are what separate a data science practitioner from an AI product builder.
Tier 04 of 04 · Expert
Capstone & Specialisation
Proof of capability — and of conscience
- 3 courses
An industry-sponsored capstone project, AI research methods, and advanced ethics & governance. The three courses that distinguish an AIDS graduate from any self-taught practitioner — culminating in work they can show any employer, and principles they can defend in any boardroom.
d2itech Certified AI & Data Science Practitioner
- Requires Tiers 01–03 + at least C-01 + C-03
- University credit-transfer pathway available
AIIS
AI Infrastructure Skills Programme
AI Infrastructure Skills
Fifteen hands-on courses that take engineers from zero AI experience to running production-grade AI infrastructure. Five role outcomes, lab-first — every course ends with something running, not a quiz.
- Courses
- 15
- Role outcomes
- 5
- Training days
- 36+
- Capstone project
- 1
Role outcomes: technician to infrastructure engineer
- Role 00
AI-Aware Technician
Foundation
2 courses
View courses - Role 01
Infrastructure Installer
Intermediate
3 courses
View courses - Role 02
Deployment Engineer
Intermediate → Advanced
3 courses
View courses - Role 03
AI Agent Engineer
Advanced
3 courses
View courses - Role 04
AI Infrastructure Engineer
Expert
3 courses + capstone
View courses
Role 00 · Foundation
AI-Aware Technician
The conceptual and scripting foundation the rest of the programme depends on
- 2 courses
Before touching a single server, every AIIS learner builds the LLM conceptual knowledge and Python scripting fluency the rest of the programme assumes. This role outcome qualifies an engineer to discuss AI capability intelligently with stakeholders and to read, modify, and run the scripts that later courses depend on.
Role outcome
- Explain LLM architecture to stakeholders
- Read, modify, and run AI-adjacent Python scripts
- Entry point for the full AIIS programme
Role 01 · Intermediate
Infrastructure Installer
Set up GPU/NPU environments, install LLM servers, containerise AI services
- 3 courses
Sets up GPU/NPU environments, installs and configures LLM servers, and containerises AI services. Able to hand a running, secured AI environment to a deployment engineer. The practical entry point for anyone moving from general systems administration into AI infrastructure work.
Role 02 · Intermediate → Advanced
Deployment Engineer
Bridge the gap between a working model and a reliable production service
- 3 courses
Deploys and manages AI models in production, integrates APIs, tunes performance, and benchmarks results. Owns the gap between a working model and a reliable production service — the role that makes "it works on my machine" mean "it works for users."
Role 03 · Advanced
AI Agent Engineer
Turn deployed models into autonomous, context-aware applications
- 3 courses
Installs and configures AI agent frameworks, builds RAG pipelines with vector databases, and orchestrates multi-agent systems. The role that turns deployed models into autonomous, context-aware applications — the highest-demand AIIS role in the current GCC market.
Role 04 · Expert
AI Infrastructure Engineer
Enterprise-grade platforms, security hardening, full observability
- 3 courses + capstone
Deploys enterprise-grade AI platforms, hardens security and compliance posture, and implements full observability and MLOps pipelines. The AIIS programme's expert outcome — and the role that owns AI infrastructure end-to-end, from GPU to governance.
Role outcomes & certification milestone
- Five role outcomes, from AI-Aware Technician to AI Infrastructure Engineer
- Capstone: Full-Stack AI Infrastructure Project (2 weeks), the certification milestone in Role 04
Track 6
Building & Operating AI Systems · Track 6
From Pipeline to Production
Six courses that take developers from a working RAG prototype to a fully deployed, evaluated, monitored, and strategically justified production AI system. The most rigorous track in the d2itech catalogue.
- Courses
- 6
- Required
- 3
- Elective
- 3
- Training days
- 10
Certification path: d2itech Certified AI Systems Engineer
- Associate
Core production skills
B-01 + B-02 + B-05
3 required courses · 5 days
- Full certification
Add two electives
Any 2 of B-03, B-04, B-06
5 courses in total
- Domain specialisation
Pair with a sector
Full Track 6 + any Track 4 domain cert
AIS Track 04 sector courses
Course map · 3 required · 3 elective
Required + elective courses
Every course has a full outline. Select a course to see what participants build, its central discipline and its gating criteria.
d2itech Certified AI Systems Engineer
- Associate: B-01 + B-02 + B-05
- Full: + any 2 of {B-03, B-04, B-06}
- Domain Specialisation: Full Track 6 + any Track 4 domain cert
No courses match your search.
Certifications
Certifications across the catalogue
Each programme has its own certification route.
d2itech Certified AI & Data Science Practitioner
- Requires Tiers 01–03 + at least C-01 + C-03
- University credit-transfer pathway available
Role outcomes & certification milestone
- Five role outcomes, from AI-Aware Technician to AI Infrastructure Engineer
- Capstone: Full-Stack AI Infrastructure Project (2 weeks), the certification milestone in Role 04
d2itech Certified AI Systems Engineer
- Associate: B-01 + B-02 + B-05
- Full: + any 2 of {B-03, B-04, B-06}
- Domain Specialisation: Full Track 6 + any Track 4 domain cert
Training enquiries
Plan AI training for your team
d2itech is the only curriculum publisher in the GCC with a complete AI learning pathway — from a first half-day literacy session to a production-grade systems engineering certification. Every course ships with five fully produced assets. No content development cost for Authorised Delivery Partners.
Tell us your team's roles and goals, and we'll recommend the right courses and delivery format.
- Phone+971 50 585 3460
- Emailajith.d2itech@gmail.com
- OfficeMeydan Grandstand, 6th floor, Meydan Road, Nad Al Sheba, Dubai, UAEMap ↗
- Catalogue2025–26