Consulting

Artificial Intelligence (AI) Professional Consulting

What We Do

AI Academy “AI for Every Learner: Building Future-Ready Citizens in the World”. Unlock AI potential with expert consulting tailored to your business goals, challenges, and transformation strategy. Serving healthcare, finance, manufacturing, defense, education, retail, logistics, and tech with tailored AI solutions.

01.

About AI Academy:

Global Curriculum, Local Impact

Empowering Learners from Age 4 to 99

AI Academy is more than just a learning platform — it’s a global catalyst for responsible and rigorous Artificial Intelligence education, spanning:

Early childhood (age 4+) through K–12,
Higher education,
Adult reskilling and workforce upskilling,
And senior digital inclusion programs.

Overall Goals

Foster curiosity, creativity, and computational thinking.
Develop foundational AI literacy and technical skills.
Promote ethical and responsible use of AI.
Align with global digital competency standards.

We specialize in developing and deploying AI and Machine Learning curricula that are:

Technically rigorous
Ethically anchored
Age-appropriate and globally adaptable
Designed for real-world application

02.

Our Core Offerings

Full-Stack AI & ML Curriculum Development (Age 4 to 99)

Structured learning paths for every age group
Spiral curriculum integrating:
- Machine Learning fundamentals
- Neural networks
- Natural Language Processing
- Computer Vision
- Generative AI
- AI Ethics, Policy & Society
Designed to align with national education strategies (e.g., UAE AI Strategy 2031, EU AI Act readiness, UNESCO digital literacy)

Hands-On AI & ML Labs

Modular, low-code & no-code learning environments
Labs powered by platforms like:
- Google Teachable Machine
- MIT App Inventor
- TensorFlow / PyTorch
- Edge AI (Raspberry Pi, Jetson Nano)
- Real-world datasets for NLP, vision, and robotics
Aligned with UN SDGs and local impact (e.g., AI for climate, education, health)

Content Licensing & White-Label Curriculum

We partner with:

Governments to localize K–12 and adult AI education
Universities & colleges seeking future-proofed AI courses
Training institutes and edtechs needing plug-and-play AI modules

All AI Academy content is available via:

Annual or multi-year licensing
Cloud-based LMS integration (SCORM/xAPI ready)
Multi-language support including Arabic, French, Spanish, and Mandarin
Instructor-led or self-paced modalities

Educator Training and Global AI Coach Certification

We prepare teachers to confidently lead AI instruction through:

AI Educator Bootcamps
Train-the-trainer programs
AI Coach certification
Toolkits with lesson plans, rubrics, ethics scenarios, and coding labs

03.

Global Reach. Local Relevance

AI Academy proudly collaborates with:

Ministries of Education
Public and private schools
International NGOs
Smart cities & innovation hubs
Corporate L&D and technical training teams

LV0

AIAcademy.art Curriculum (Ages 4–18)

“From Curiosity to Critical Understanding: AI, Data, Ethics, and Society”

Level 0: AI Readiness (Ages 4–6) – “Wonder & Machines”

Objective: Cultivate curiosity about intelligent behavior and spark foundational concepts of learning and fairness.

Core Themes:

What makes something “smart”?
Patterns, rules, and simple decision-making
Emotions, empathy, and fairness in machines

Activities:

Sorting and classification with smart toys
“Robot says” logic games
Story-based exploration of fairness and sharing with robots

Learning Outcomes:

Recognize intelligent behavior
Understand that machines follow rules and learn from data
Begin talking about fairness and emotions in human vs. machine behavior

LV1

Level 1: Foundations of AI (Grades 1–3) – “How Machines Learn”

Objective: Develop fundamental understanding of data, labels, algorithms, and what it means to “train” an AI.

Core Themes:

Learning from examples
Inputs, outputs, and labeling data
What is an algorithm?
Fairness in decisions

Activities:

Train an image classifier (using Teachable Machine)
Draw simple decision trees
“If-Then” rule-based games
Group discussions on AI fairness (e.g., who gets picked for a game?)

Learning Outcomes:

Understand that AI uses data to learn
Recognize simple algorithms and rule-based systems
Reflect on bias and fairness in decision-making

LV2

Level 2: Intelligence in Systems (Grades 4–5) – “Smart Machines in Our World”

Objective: Learn how AI systems use data and models to solve problems, and evaluate their risks and benefits.

Core Themes:

Data types (images, text, sound)
Classification and prediction
Real-world AI examples (smart homes, self-driving cars)
Intro to algorithmic bias and unintended consequences

Activities:

Train an AI to classify animals, music, or faces
Compare human vs. machine predictions
Discuss scenarios: Should AI write your homework? Who gets medical help first?

Learning Outcomes:

Students can explain how AI makes decisions
Begin identifying biases and assumptions in models
Reflect on impacts of AI in everyday life

LV3

Level 3: Thinking in Algorithms (Grades 6–8) – “Build, Analyze, Reflect”

Objective: Dive into model design, data integrity, and algorithm behavior while deepening ethical reasoning.

Core Themes:

Supervised and unsupervised learning
Model accuracy, overfitting, and evaluation
Data privacy, consent, and surveillance
Ethics of automation (jobs, safety, justice)

Activities:

Train decision trees, regression models using Google Colab
Experiment with classification accuracy on imbalanced datasets
Reflect on data bias (e.g., gender in facial recognition)
Explore AI ethics cases (e.g., social credit systems, hiring AI)

Learning Outcomes:

Understand how models are trained and evaluated
Identify risks of bias and over-dependence
Begin constructing personal ethical frameworks

LV4

Level 4: Applied AI & Society (Grades 9–10) – “Systems, Accountability & Impact”

Objective: Apply AI in domain-specific projects, while critically evaluating its implications and accountability structures.

Core Themes:

Deep learning basics: neural networks, NLP, computer vision
Algorithmic transparency & explainability
AI in law, medicine, education, and cities
Ethics: autonomy, accountability, justice, human-AI collaboration

Activities:

Build a sentiment classifier or object detector
Explore explainable AI: what does the model “see”?
Conduct a community impact assessment of an AI deployment
Debate: Should AI be used in law enforcement?

Learning Outcomes:

Apply machine learning concepts to real-world data
Understand tradeoffs: accuracy vs. fairness, privacy vs. utility
Evaluate responsibility: who is accountable when AI causes harm?

LV5

Level 5: Capstone & Certification (Grades 11–12) – “AI for Change”

Objective: Synthesize technical, ethical, and social knowledge into applied AI projects for meaningful change.

Core Themes:

Neural networks in practice (TensorFlow, PyTorch)
Model optimization and performance tradeoffs
AI policy, governance, and rights
AI as a tool for equity, inclusion, sustainability

Activities:

Capstone project: Design and present an AI system (e.g., disaster response bot, smart agriculture tool)
Peer code reviews and bias audits
Mock policy design: AI Bill of Rights for youth
Portfolio development for AI National Challenge

Learning Outcomes:

Independently develop and evaluate AI systems
Demonstrate fluency in AI’s ethical and social dimensions
Prepare for university-level AI studies or AI-aligned careers

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Cross-Stage Features

Feature	Description
Ethics Spiral Thread	Ethics introduced in Level 0 and expanded with age: fairness → bias → governance
Arabic & Cultural Context	AI datasets, use cases, and risks contextualized
AI & Life Lab	Each school to host an “AI & Life” corner to link school subjects with real AI use cases
Student Portfolios	Progressive digital portfolios showing project, reflection, and technical mastery

Let’s Partner

Whether you’re a ministry, district, edtech platform, or corporate academy, AI Academy is your partner in AI curriculum development, deployment, and transformation — globally licensed, locally adapted.

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Custom-Built for Every Stage

Age Group	Curriculum Focus
4–6 (Early Years)	AI awareness, pattern games, fairness stories
7–10 (Primary)	Learning from data, labeling, visual algorithms
11–13 (Middle)	Data ethics, real-world applications, model bias
14–16 (High School)	Supervised learning, computer vision, NLP
17–18 (Pre-College)	Neural networks, Capstones, AI & Society
Adults (19–59)	Career bootcamps, AI upskilling, cross-sector use cases
Seniors (60–99)	AI for life, digital confidence, AI companions, safety

STAGE-WISE STRUCTURE

KG1-KG2

Kindergarten (KG1-KG2): AI Foundations through Play

Theme: “Smart World Around Me”
Focus: Awareness, Exploration, Observation

Key Concepts:

Understanding machines vs. humans
Smart objects (e.g., Siri, Alexa, robots)
Emotions and social intelligence

Activities:

Storytelling with AI-powered toys
Identify smart devices at home
Sorting games with colors, shapes (early classification)

Learning Outcome:

Children can recognize and talk about smart devices and simple automation.

G1-3

Grades 1-3: Understanding Intelligence and Machines

Theme: “Learning with Machines”
Focus: Classification, Patterns, Logical Thinking

Key Concepts:

Differences between natural and artificial intelligence
Pattern recognition
Following and creating simple rules

Activities:

Use of visual programming tools (e.g., Scratch Jr)
Interactive storytelling with AI characters
Classification games (e.g., animals, vehicles)

Learning Outcome:

Students understand that machines can “learn” patterns and follow instructions.

G4-5

Grades 4-5: Introduction to Machine Learning and Ethics

Theme: “How Machines Learn”
Focus: Data, Prediction, Fairness

Key Concepts:

Introduction to data and labeling
Training AI with data (images, voices)
Ethics and fairness in decisions

Activities:

Teachable Machine experiments
Classifying photos using AI
Discussing fairness (e.g., “Is it fair if a robot always picks the same person?”)

Learning Outcome:

Students understand that data trains machines and that fairness matters in design.

G6-8

Grades 6-8: Hands-On AI and Real-World Applications

Theme: “AI in My World”
Focus: Algorithms, Problem-Solving, Societal Impact

Key Concepts:

Supervised learning
Algorithms and decision trees
AI in environment, healthcare, transport

Tools:

MIT App Inventor
Google’s Teachable Machine
Python basics with visual AI libraries

Activities:

Create AI models to classify sounds or gestures
Build simple AI apps (e.g., face filters)
Case studies on AI (e.g., autonomous taxis, smart police systems)

Learning Outcome:

Students can build and explain simple AI models and reflect on their social impact.

G9-10

Grades 9-10: Advanced Concepts, Ethics, and Industry Integration

Theme: “Building Smart Solutions”
Focus: Modeling, Bias, AI Strategy

Key Concepts:

Neural networks basics
Natural Language Processing (NLP)
Data bias, inclusivity, and transparency

Tools:

TensorFlow Playground
Python with scikit-learn
Chatbot development platforms

Activities:

Build chatbots in Arabic and English
AI + ethics debates (e.g., facial recognition in schools)
Field visits to AI research centers

Learning Outcome:

Students can build basic AI systems and evaluate their fairness and usefulness.

G11-12

Grades 11-12: AI Innovation and Capstone Projects

Theme: “Designing AI for the Future”
Focus: Project-Based Learning, Critical Thinking, Career Readiness

Key Concepts:

Deep learning
Computer vision
AI careers and entrepreneurship

Tools:

Python with TensorFlow or PyTorch
Edge AI with Raspberry Pi or Jetson Nano
No-code AI platforms for rapid prototyping

Activities:

National AI Challenge participation
Capstone project (e.g., AI for smart agriculture or waste management)
Build AI ethics frameworks

Learning Outcome:

Students graduate with AI portfolios, ready for university programs or entrepreneurship.

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Cross-Cutting Themes Across Grades

Arabic AI tools and datasets to preserve and advance cultural identity
Ethics and AI for humanity integrated yearly
STEAM integration with robotics, space, health, climate, and energy
AI for Sustainability aligned with COP28 and sustainability goals

Teacher Development Plan

Yearly summer bootcamps in AI literacy and pedagogy
Online certification modules via National AI Academy
AI educator resource platform in Arabic and English

Assessment Framework

Formative: class demos, reflections, presentations
Summative: quizzes, AI models, projects, debates
Capstone: AI solution aligned with National AI Agenda

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Post-Secondary: College and University Level

Goal: Advance specialized skills for academic, technical, and entrepreneurial AI careers

Pathways & Offerings:

General Education Track (for all majors):

Courses:
- AI and Society
- Digital Ethics & Data Privacy
- Introduction to AI and Big Data

Technical Track (Computer Science, Engineering, Math majors):

Courses:
- Machine Learning & Deep Learning
- Computer Vision
- Natural Language Processing
- AI for Robotics & Smart Systems
- AI Security & Trustworthy AI
Labs:
- Edge AI (IoT & Raspberry Pi)
- Autonomous vehicles & drones
- AI in Healthcare, Finance, Oil & Gas

Interdisciplinary Track (Business, Design, Law, Medicine):

Courses:
- AI in Business and Marketing
- Generative AI for Designers and Creatives
- AI & Law / Policy / Regulation
- AI in Healthcare and Public Health

Capstone Programs:

National AI Hackathon (cross-university)
Applied Research Labs in cooperation with MBZUAI, Khalifa University, G42, Mohammed Bin Rashid Space Centre
AI Startup Incubation with Ministry of AI

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Adult Workforce Development (Ages 22–60)

Goal: Upskill the current and future workforce with industry-ready AI skills

Programs:

AI Literacy & Upskilling for All Sectors:

Short courses (6–12 weeks) on:
- AI for Managers
- Data Analytics for Decision-Making
- Ethical AI and Compliance
- Prompt Engineering for Business Professionals
- AI + Your Job: Healthcare, Education, Public Safety, Energy, Logistics, Finance

Certification Programs (Modular):

Certified AI Specialist (CAIS)
Certified AI Product Manager
AI in Smart Cities and Governance
Delivered online, evenings, and weekends via TVETs, FutureSkills.ai, and private institutes

AI Career Transition Bootcamps:

For job-switchers (non-tech to tech)
Intensive 3–6 month bootcamps
Projects, mentorship, internship pipelines

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Senior Citizens (Ages 60–99): AI Literacy and Engagement

Goal: Empower older adults to engage safely and meaningfully with AI

Programs:

AI Awareness and Digital Safety (Community Centers):

What is AI?
How AI helps in daily life
Safe use of chatbots, digital banking, eHealth tools

Digital Wellness & Mental Health with AI:

AI wellness apps, voice assistants for companionship
AI-powered health monitoring (in collaboration with DHA/MOHAP)

Intergenerational AI Clubs:

Seniors paired with school or university students
Storytelling, heritage preservation using AI tools
Training to create podcasts, digital memoirs, and voice assistants in Arabic

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National Infrastructure and Support System

Component	Description
National AI Learning Portal	Free Arabic/English courses for all citizens (K12 to Senior)
National AI Educator Academy	Upskilling 10,000+ teachers across the globe
AI Labs	Equipped with AI kits, robots, drones, edge devices
Annual National AI Literacy Survey	Assess progress in AI awareness, readiness, and ethical knowledge
Partnerships	Collaboration with Google, OpenAI, IBM, Amazon, Huawei, Microsoft

Why Choose Us?

Why Choose AiAcademy.Art?

Expert-Led Instruction: Learn from industry veterans, AI researchers, and certified instructors with years of practical experience
Globally Recognized Certifications: Boost your career with credentials that matter, built on international standards
Customized AI Consulting: Tailored AI strategies and implementation support to accelerate your organization’s digital transformation
Hands-On Learning: Interactive labs, real-world projects, and AI tools that simulate real-life scenarios
Flexible & Scalable: Courses designed for individuals, teams, startups, and enterprises — online and on-demand
Future-Ready Content: Constantly updated curriculum aligned with the latest advancements in AI, ML, NLP, computer vision, and more.

Ready To Get Started?

Whether you’re looking to upskill in AI, certify your expertise, or implement AI solutions, aiacademy.art is here to guide your journey.