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Asabya AI Essentials · Asabya Academy
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Asabya AI Essentials A practical AI literacy programme teaching you to use generative AI tools effectively in everyday work and study. Inspired by Google AI Essentials concepts and adapted for the GCC context as an Asabya independent credential. Covers: what AI is and its limits, prompting techniques, productivity workflows, responsible use, and staying current. Practical not theoretical: every session includes hands-on exercises with tools you can use immediately.
1 level 30 hours
Aligned with Google AI Essentials concepts. Asabya original credential. Not affiliated with or endorsed by Google.
Who it's for
Open to all learners from Year 10 (approximately age 14) upward. Designed equally for students learning to use AI in their studies, working professionals across any role, public-sector staff, and adult learners new to AI. No prior experience required. Each session carries examples that flex between school and workplace contexts so the curriculum is usable by both audiences. Note that some third-party AI tools referenced in the curriculum have their own minimum-age and account requirements (typically 18+ for full features, with some platforms accessible from 13+ with parental consent); these are flagged within the relevant sessions.
What you'll learn L1
Explain what AI hallucination is. Explain the human-in-the-loop mindset for working with AI. Describe what generative AI is in plain language. Distinguish generative AI from other kinds of software. Detect fabricated references in AI output. Identify effective brainstorming uses of AI. The curriculum 20 sessions across the programme. Enrol to open each lesson, resources, and assessments.
L1
01 What is Generative AI? — A Plain-Language Start 02 AI, Machine Learning, and Generative AI — How They Relate 03 How AI Tools Learn — Training, Data, and Why It Matters 04 Capabilities and Limitations — What AI Can and Cannot Do 05 Module 1 Knowledge Check — Foundations 06 AI as a Collaborator — The Human-in-the-Loop Mindset 07 The AI Toolbox — Gemini, ChatGPT, Claude, Copilot, and Beyond 08 Writing Clear and Specific Prompts 09 Judge which AI claims most need verification.
Match verification effort to the stakes of a task. Explain why generative AI became widely useful for ordinary people. Recognise everyday generative-AI use cases. Identify common AI tools and where they are built in. Decide what is safe to share with a public AI tool. Choose an appropriate AI tool for a given task. Explain how machine learning differs from traditional programming. Apply a privacy check before sharing data with an AI tool. Identify where machine learning is used in everyday tools. Explain cross-border data-transfer risks with AI tools. Explain what a multimodal AI tool is. Judge when disclosure of AI use is and is not needed. Distinguish generative AI from other forms of AI by the task it handles. Write clear, specific prompts. Specify audience to improve prompt results. Explain what pre-training is and how AI models learn. Acknowledge AI assistance honestly and clearly. Explain what a token is in an AI model. Identify missing elements in a weak prompt. Explain how AI-assisted work can create plagiarism risk. Explain why AI knowledge can be out of date due to a training cutoff. Apply a reusable prompt structure. Evaluate a new AI tool using a clear set of questions. Refine prompts to improve unsatisfactory outputs. Recognise hype signals when assessing AI tools. Identify tasks generative AI is most reliable for. Distinguish durable AI principles from short-lived trends. Explain why AI can be unreliable for tasks such as arithmetic. Use self-critique to improve AI output. Recognise when to restart rather than keep iterating. Apply appropriate human checks to AI-assisted work. Recognise that AI confidence does not guarantee accuracy. Explain and apply few-shot prompting. Apply chain-of-thought prompting for better reasoning. Judge when few-shot prompting is unnecessary. Use AI for research while verifying high-stakes facts. Use AI to summarise and structure notes. Build and reuse a personal prompt library. Time-box AI sessions to stay productive. Apply a draft-edit-polish workflow for long-form writing. Keep AI-assisted writing in your own voice. Iterating and Refining — Getting Better Outputs
10 Few-Shot and Chain-of-Thought Prompting
11 AI in Daily Tasks — Email, Notes, Research, Planning
12 AI for Content — Drafting, Editing, and Polishing
13 AI for Images, Slides, and Multimedia
14 Module 2 Knowledge Check — Practical Use
15 Mid-Programme Mock Assessment
16 Bias, Hallucination, and Why You Must Verify
17 Privacy, Confidentiality, and Personal Data
18 Attribution, Honesty, and AI-Assisted Work
19 Staying Current — Evaluating New AI Tools
20 Final Assessment and Programme Close 
