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February 2, 2026
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Powered by Abdulla Al Ghurair Hub for Digital Teaching and Learning

AI for everyone.
No experience needed!

Think AI is too technical for you?

Think again! This program is designed for absolute beginners, welcoming you into the world of AI with open arms.

We'll show you how to truly leverage AI to boost your productivity and confidently thrive in today's AI-driven world.

Developed as a partnership between AUB and ZAKA, this 8-week, hands-on program cuts through the complexity. You'll gain practical skills to:

  • Automate tasks
  • Analyze data
  • Create engaging content
  • Optimize your daily workflow
  • Explore ethical considerations of AI

What Benefits Will You Gain?

Earn a highly respected certificate through AUB’s academic excellence and ZAKA’s industry expertise.
Fit learning into your busy life with our structured 8-week online program, designed for maximum flexibility.
Dive into AI with localized examples and insights into Arabic Large Language Models (LLMs), making it directly relevant to your region
Develop your AI capabilities with a program designed to be both impactful and financially accessible.
Get hands-on with AI tools for real-world tasks gaining immediate confidence and applicability in your work.
Build a crucial understanding of responsible AI use, including data privacy and bias awareness, for safe and effective application.

Who Is This Program For?

Anyone interested in learning how to use AI tools effectively without prior knowledge with only English Language proficiency

What Skills Will You Gain?

Understanding Core AI: Get a solid grasp of AI fundamentals, including what it is, its main types, and how Generative AI and LLMs work.
Mastering AI Prompting: Craft effective prompts in both English and Arabic to get the best outputs from AI tools.
Analyzing Data with AI: Use AI to interpret data, spot trends, create visual summaries, and generate smart reports and dashboards.
Automating Tasks (No Code!): Design and build simple AI-powered workflows to automate repetitive tasks, no coding needed.
Creating AI Multimedia: Generate images, audio, and video content with AI.
Using AI Responsibly: Understand and apply ethical AI practices, recognizing bias, privacy, and cultural nuances.

Curriculum

Module Details

Week 1
  • Define Artificial Intelligence
  • Discuss the relevance of AI across industries:
    • Civil and mechanical engineering (e.g., predictive maintenance)
    • Banking (e.g., fraud detection, risk scoring)
    • Marketing (e.g., personalization, campaign optimization)
    • Office workflows (e.g., scheduling, document generation)
  • Identify key domains of AI:
    • Machine learning
    • Natural Language Processing
    • Computer Vision
    • Generative AI
  • Reflect on existing AI use in daily life and work.
  • Opportunities and challenges in adopting AI in professional contexts.

Week 2
  • Understand how generative AI works and what makes it distinct from traditional AI.
  • Introduction to large language models (LLMs):
    • Overview of the popular LLMs such as DeepSeek, ChatGPT, Claude, Gemini, and others
  • Practical applications in the workplace:
    • Email writing, summarization, drafting proposals, client communication
  • Arabic Language and Generative AI:
    • Explore the unique challenges of the Arabic language in AI contexts:
      • Rich morphology and root-based structure
      • Dialectal diversity and lack of standardized spelling
      • Scarcity of high-quality labeled datasets
    • Survey of current Arabic LLMs:
      • Overview of JAIS, Noor, ALLaM, and other models under active development
      • Strengths, limitations, and use cases of each model
  • Prompting strategies for everyone
    • Writing clear instructions, assigning roles, and adding tone/context
    • Advanced prompting frameworks and techniques
    • Best practices for Arabic prompting:
      • Structuring prompts in Modern Standard Arabic (MSA) vs dialects
      • Common pitfalls (e.g., ambiguity, tone mismatch)

Week 3
  • Recognize the value of data-informed decisions in a professional setting.
  • Use LLMs to identify trends, patterns, and outliers in datasets.
  • Interpret summaries generated by AI to support decision-making across business contexts.
  • Apply insights to domain-specific use cases (e.g., marketing performance, project timelines, financial metrics).
  • Generate visual summaries (charts, graphs) from raw data using AI prompts.
  • Translate data findings into clear written reports with LLM assistance.

Week 4
  • Explore the concept of AI-assisted workflow automation.
  • Identify repetitive and time-consuming tasks suitable for automation:
    • Document classification
    • Email triaging and responses
    • File and folder management
  • Understand how AI can serve as an assistant in operational processes.
  • Discover simple automation tools that connect everyday apps
  • Design a simple automation flow tailored to job-specific routines and repetitive tasks.

Week 5
  • Explore how AI can generate multimedia content.
  • Use cases across roles:
    • Marketing visuals, technical diagrams, training content
    • Voice narration for tutorials, branded audio snippets
    • Short video explainers, announcements, onboarding clips
  • Image generation using AI
    • How text-to-image vs image-to-image generation works
    • Use cases: marketing visuals, training illustrations, mockups.
    • Hands-on prompt crafting: adjusting style, composition, detail, and mood.
    • Prompt engineering for image generation
  • AI-powered audio generation and dubbing
    • Text-to-speech and AI voice cloning explained in simple terms.
    • Dubbing across languages using generative AI.
    • Applications in training videos, accessibility, and internationalization.
    • Exploring Arabic voice generation:
      • Generating natural-sounding Arabic speech using AI
      • Working with different Arabic dialects: MSA, Gulf, Levantine, Egyptian, and more
      • Evaluating current tools' quality and limitations in handling Arabic pronunciation and intonation
  • Video generation from text, image, or other video
    • How AI can turn scripts, still images, or reference clips into animated video.

Week 6
  • Identify high-effort, low-impact tasks that can be supported by AI.
  • Use AI to:
    • Summarize lengthy documents or meeting transcripts
    • Prioritize and manage tasks or calendar events
    • Draft responses and standard replies
  • Automating content creation and presentation design
    • Use AI to generate slide decks and visual materials from text or structured inputs.
    • Streamline brainstorming, outline creation, and visual formatting.

Week 7
  • The role of reporting and dashboards in decision-making
    • Understand what makes a report or dashboard effective.
    • Differentiate between operational dashboards, executive summaries, and analytical reports.
  • Creating dashboards without code
    • Explore no-code tools that build visual dashboards from data.
    • Identify key metrics and choose appropriate visualizations (e.g., trends, comparisons, distributions).
  • Data storytelling principles
    • Structure insights into a narrative: context, insight, implication.
    • Tailor communication for different stakeholders (technical vs. business audiences).
    • Avoid clutter and focus on clarity, relevance, and visual flow.

Week 8
  • Understand potential risks associated with AI adoption:
    • Misinformation, hallucinations, lack of transparency
    • Privacy concerns and data misuse
    • Bias and ethical dilemmas
    • Address bias in Arabic AI datasets (e.g., cultural generalizations, dialect underrepresentation).
    • Discuss sensitivity in Arabic-language outputs: religion, tradition, and tone appropriateness.
  • Develop a framework for responsible AI use:
    • Human oversight and validation
    • Transparency in AI-assisted output
    • Clarity in roles between AI and human decision-making
  • Establish ethical standards for prompt writing and output usage.

Tuition Fees

At just $50, you can benefit from:
Access
to all course
content and material
Live weekly guidance
and interaction with instructors and teaching assistants
Office hours
and virtual office hours with instructors
Apply Now
Next Start Date

February 2, 2026

Limited seats are available!
Deadline to apply is January 28, 2026 Hurry!

Book your spot today!

Instructor

Ammar Mohanna
Ammar Mohanna

PhD in ECE

Lecturer and AI Consultant with extensive experience across academia and industry in the fields of machine learning, MLOps, explainable AI, and edge AI. His work bridges cutting-edge research with real-world deployment, spanning the training of AI practitioners, advising startups, and building production-grade machine learning pipelines.

Content Partner

Zaka
ZAKA

ZAKA is a leading AI consulting and training company committed to democratizing AI knowledge and solutions across the MENA region and beyond. With a focus on education, innovation, and community-building, ZAKA empowers individuals, organizations, and industries to harness the potential of AI. They have so far graduated more than 300 certified AI engineers and have successfully partnered with large organizations including Microsoft, Samsung, Google, KSA Ministry of Communications and Information Technology, Saudi Data and AI Authority (SDAIA) and Al Ghurair Foundation to offer large scale AI training.

Contact Us

contact us email
[email protected]

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