Includes:
✔ Full access to all modules and activities
✔ Downloadable resources and toolkits
✔ Personalized feedback on assessments
✔ Certificate of Completion from Mulungushi University

Needs Assessment

UNESCO’s 2024 Global Education Monitoring Report notes that 70% of students use generative AI tools, but only 15% receive structured guidance on ethical use and reliability. Simultaneously, LinkedIn Learning’s 2025 report identifies AI-prompt literacy as a top skill in demand for early-career professionals. A university poll (April 2025) reveals key pain points:

• Prompt Quality – Users waste time through trial-and-error prompting.
• Credibility Checks – Difficulty in identifying bias, hallucinations, or hidden plagiarism.
• Workplace Relevance – Uncertainty about how AI fits into actual job roles.

This course bridges academic learning and professional readiness by building foundational fluency in AI tools, teaching critical thinking, and demonstrating direct applications in real-world scenarios.

By the end of this course, learners will be able to:

• Understand how generative AI works across different media types
• Use AI tools effectively for writing, design, coding, and communication
• Craft precise and purposeful prompts for academic and professional tasks
• Critically evaluate AI outputs for factual accuracy, bias, and ethical risks
• Apply AI fluently and responsibly in education, job preparation, and creative projects

1. ? MODULE-BY-MODULE BREAKDOWN

   MODULE 1: Foundations of Generative AI

   Duration: 2 hours
   Focus: Understanding how generative AI works and where it's used

   Learning Outcomes:

   • Define generative AI, machine learning, and large language models (LLMs)
   • Identify key tools (ChatGPT, Claude, DeepSeek, Gemini, DALL·E, Copilot, etc.)
   • Explore how AI generates content: text, images, and code

   Assessments:

   • MCQ Quiz
   • Reflection: “How can AI shape my studies and future career?”

   Resources:

   • Explainer videos
   • AI Timeline infographic
   • Reading: "Generative AI in Education and the Workforce"

    

   MODULE 2: Prompt Engineering for Study and Work

   Duration: 2 hours
   Focus: Building clear, powerful prompts for academic and career use

   Learning Outcomes:

   • Construct targeted prompts for essays, job cover letters, study tools, etc.
   • Practice prompt refinement techniques for better outputs
   • Understand prompt structures for analytical, creative, and technical tasks

   Activities:

   • Prompt lab: Generate study notes, brainstorm job interview answers, summarize case studies
   • Peer feedback: Evaluate and improve prompts

   Assessment:

   • Submit a custom AI-generated resource (e.g., resume bullet points, class summary, portfolio intro)

   Resources:

   • Prompt library and worksheet
   • Prompt Engineering Cheat Sheet

    

   MODULE 3: Real-World Applications of Generative AI

   Duration: 2 hours
   Focus: Applying AI to cross-disciplinary professional and academic tasks

   Learning Outcomes:

   • Use AI for content creation: writing, graphics, presentations, basic code
   • Apply AI tools to simulate real tasks (pitch decks, blog posts, business ideas)
   • Integrate AI into personal productivity workflows

   Case Study:

   • Portfolio project: Create a job application package with AI (CV, email, mock cover letter)

   Assessment:

   • Submit a mini-project using at least two AI tools in tandem

   Resources:

   • Tools: Canva AI, ChatGPT, Notion AI, GitHub Copilot
   • Templates: AI for resumes, personal branding, and classroom projects

    

   MODULE 4: Evaluating and Improving AI Outputs

   Duration: 2 hours
   Focus: Editing and validating AI-generated results

   Learning Outcomes:

   • Spot AI hallucinations, inconsistencies, and plagiarism risks
   • Fact-check and ethically revise AI-generated material
   • Use AI for first drafts, then refine for quality and originality

   Activities:

   • Editing lab: Correct and annotate flawed AI output
   • Group discussion: When should you trust an AI response?

   Assessment:

   • Submit edited content with annotations explaining improvements

   Resources:

   • AI Editing Checklist
   • Examples of good vs. bad AI usage

    

   MODULE 5: Ethics, Careers, and Future-Ready AI Use

   Duration: 2 hours
   Focus: Building responsible AI habits and career foresight

   Learning Outcomes:

   • Understand risks: plagiarism, bias, misinformation, misuse
   • Explore how AI is reshaping industries like marketing, law, healthcare, and tech
   • Develop a personal policy for ethical AI usage in study and work

   Capstone Project:

   • Build a personal or professional project (AI-assisted case study, presentation, portfolio piece)

   Assessment:

   • Final project + reflective self-assessment

   Resources:

   • Career map: AI skills across disciplines
   • Ethics case studies and decision scenarios
   • Template: Personal AI Use Policy