CompTIA AI Fundamentals

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cyber brain, computer, brain, the internet, web3, 0, blockchain, cyber, artificial intelligence, brain, brain, brain, brain, brain, artificial intelligence, artificial intelligence, artificial intelligence, artificial intelligence

CompTIA AI Fundamentals Training

Offered by VEGA Institute – Mauritius

Course Overview

 AI Fundamentals Course Objectives 

Explain foundational concepts and terminology of modern AI and generative AI. 

  • Define AI, machine learning, and generative AI. 
  • Distinguish generative AI from traditional software and search. 
  • Identify major AI tools and models. 

Identify and classify appropriate AI use cases for common academic, personal, and workplace tasks, including when AI should not be used. 

  • Classify common tasks as good or poor candidates for AI support. 
  • Distinguish lower-risk and higher-risk ways of using AI. 
  • Demonstrate cumulative understanding of AI concepts and skills. 

Apply responsible, ethical, and secure AI practices, including awareness of risks such as bias, privacy, intellectual property concerns, hallucinations, and misuse. 

  • Identify key AI risks (bias, hallucinations, privacy, IP). 
  • Analyze the potential impact of ethical concerns in AI use on individuals, communities, and the broader world. 
  • Apply basic privacy and security concepts to AI use. 
  • Recognize when disclosure and caution are required. 
  • Identify safe and ethical uses of AI-generated media. 
  • Evaluate AI-suggested options for plausibility and risk. 

Design effective AI prompts using clear role–task–context–format structures. 

  • Identify components of an effective prompt. 
  • Define and recognize context files. 
  • Select safe, relevant context sources. 
  • Configure simple context-aware AI interactions. 

Conduct multi-turn, conversational interactions with AI, using iterative refinement strategies to progressively improve outputs. 

  • Construct basic role–task–context–format prompts. 
  • Treat AI interactions as conversations. 
  • Use follow-up prompts to refine, correct, and deepen outputs. 

Evaluate AI-generated content for accuracy, quality, bias, and fitness for purpose. 

  • Compare weak and strong prompts by output quality. 
  • Identify common AI errors and hallucinations. 
  • Detect bias and low-quality content. 
  • Maintain focus during multi-turn AI sessions. 
  • Select prompts for different audiences, tones, and formats. 

Use AI tools to support common professional communication and content tasks while maintaining human accountability. 

  • Use AI to overcome creative blocks, generate initial ideas, and draft and revise communications. 
  • Apply multiple course skills to integrated AI use scenarios. 

Leverage AI as a tutor, explainer, and study partner to generate practice materials and clarify concepts while maintaining academic integrity. 

  • Use AI to explain concepts at appropriate levels. 
  • Generate practice materials and study aids with AI templates. 
  • Recognize acceptable vs. misconduct in AI-supported studying. 

Use AI as a thought partner and decision aide to analyze scenarios, surface options, and combine AI suggestions with human judgment for simple decisions. 

  • Use AI as a thought partner in simple decision scenarios. 

Identify everyday tasks suitable for basic AI-enabled automation. 

  • Identify tasks suitable for AI-enabled automation. 

Define common AI-supported workflow patterns and the role of human-in-the-loop oversight. 

  • Describe common AI-supported workflow patterns. 
  • Explain human-in-the-loop oversight for AI agents and automation. 

Communicate transparently about AI use in academic and professional work, including how AI contributed to outputs and how it was verified. 

  • Select appropriate methods to verify AI outputs. 
  • Explain decisions for combining AI output with human judgment. 
  • Identify when and how to disclose AI use. 
  • Select clear, nontechnical explanations of AI use and limitations. 

Recognize how AI and related technologies are reshaping work and skill demands across industries. 

  • Identify how AI is used in everyday tools and workplaces. 
  • Recognize how AI is changing work across industries and common patterns in how roles, skills, and tasks are shifting. 
  • Recognize roles in AI-augmented workflows (prompter, verifier, editor). 
  • Describe how AI and related tech are reshaping work across industries. 

Leverage AI ethically for career preparation (i.e., identifying AI-related skills in job descriptions, crafting résumés and cover letters, and preparing for interviews). 

Apply AI ethically for career preparation (e.g., creating resumes, cover letters, and interview preparation). 

Identify AI-related skills in job descriptions. 


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