Data and artificial intelligence shape decision making across government business health education and finance. Yet many non technical students lack foundational understanding of how data works how AI systems make decisions and how to engage responsibly with intelligent technologies.
This course equips participants with practical frameworks to design and deliver data science and AI literacy programs tailored for non technical learners. It focuses on conceptual clarity applied understanding ethical awareness and real world use cases rather than advanced coding.
Participants will learn how to demystify data analytics explain machine learning concepts in accessible language foster critical thinking about AI systems and align literacy programs with workforce and digital transformation priorities.
Duration
5 Days
Who should Attend
• Government officials in education and digital transformation ministries
• University lecturers and curriculum designers
• TVET and secondary school educators
• Youth program managers
• NGOs promoting digital literacy
• Workforce development professionals
Individual Impact
• Ability to teach AI and data concepts without technical complexity
• Stronger understanding of analytics and machine learning basics
• Enhanced capability to design literacy based curricula
• Improved confidence in facilitating AI discussions
• Practical tools for ethical AI awareness training
Organizational Impact
• Broader AI awareness across non technical sectors
• Improved data driven decision making culture
• Stronger digital transformation readiness
• Reduced misinformation and AI misuse risks
• Scalable AI literacy frameworks
By the end of the course participants will be able to
• Define data science and artificial intelligence in simple terms
• Explain how machine learning systems operate conceptually
• Interpret basic data visualizations and insights
• Identify ethical risks and bias in AI systems
• Design AI literacy programs for non technical audiences
• Establish impact metrics for digital literacy initiatives
Module 1: Foundations of Data Science
• What is data and why it matters
• Types of data and sources
• Data lifecycle from collection to insight
• Data driven decision making basics
Practical Exercise or Case Study
• Analyze a simple dataset using visual interpretation
Module 2: Introduction to Artificial Intelligence
• Definition of AI and machine learning
• Narrow AI versus general AI
• How algorithms learn from data
• Everyday AI applications
Practical Exercise or Case Study
• Identify AI systems used in daily life and explain how they work conceptually
Module 3: Understanding Machine Learning Without Coding
• Supervised and unsupervised learning explained
• Training data and model outputs
• Accuracy and performance concepts
• Common misconceptions about AI
Practical Exercise or Case Study
• Simulate a simple classification exercise using manual data grouping
Module 4: Data Visualization and Interpretation
• Reading charts graphs and dashboards
• Identifying patterns and trends
• Avoiding data misinterpretation
• Communicating insights clearly
Practical Exercise or Case Study
• Interpret a public policy dashboard and extract insights
Module 5: AI Ethics and Responsible Use
• Bias and fairness in algorithms
• Data privacy and consent
• Transparency and accountability
• Global AI governance trends
Practical Exercise or Case Study
• Evaluate an AI use case for ethical risks
Module 6: AI in Key Sectors
• AI in healthcare finance education and agriculture
• Automation and the future of work
• Opportunities and risks for youth
• Digital inclusion challenges
Practical Exercise or Case Study
• Map AI applications relevant to a local sector
Module 7: Designing AI Literacy Programs
• Curriculum development for non technical learners
• Interactive teaching methods
• Case based learning models
• Assessment and certification approaches
Practical Exercise or Case Study
• Develop a short AI literacy workshop outline
Module 8: Critical Thinking and Media Literacy in the Age of AI
• Detecting misinformation and deepfakes
• Evaluating AI generated content
• Understanding limitations of AI systems
• Building informed digital citizens
Practical Exercise or Case Study
• Analyze AI generated content for accuracy and bias
Module 9: Institutional Readiness for AI Adoption
• Building data aware organizations
• Skills mapping for AI readiness
• Change management fundamentals
• Cross functional collaboration
Practical Exercise or Case Study
• Conduct an AI readiness self assessment
Module 10: Monitoring Impact and Continuous Learning
• AI literacy indicators
• Feedback and evaluation tools
• Updating curricula for evolving technologies
• Sustainable digital learning ecosystems
Practical Exercise or Case Study
• Design an AI literacy impact measurement framework
Whether you join us in a physical boardroom or through our virtual campus, we’ve designed every administrative detail for a seamless, professional experience.
Our fees are all inclusive during course hours.
From registration to the classroom, we keep things clear and efficient.
We provide premium environments optimized for adult learning and networking.
You’ll leave with tools that extend the course value far beyond the final day.
We validate your commitment to excellence with internationally recognized credentials.
Our relationship with you doesn’t end when the course closes.
We offer customized training solutions tailored to your organization's specific needs (location, dates, content and team size).
Talk to us and we’ll guide you on the best schedule and format for your team.
We turn knowledge into results. Using our P.E.A.K. Framework (Prepare, Engage, Apply, Know), every participant leaves with practical skills they can use immediately.
In the last 12 months, over 1,200 professionals have applied the P.E.A.K. Framework to reduce onboarding time by an average of 30% and accelerate project delivery across 14 industries.
The outcome: Participants don’t just learn. They gain the tools, confidence, and strategy to drive measurable impact.
Off-the-shelf solutions rarely fit perfectly. At ForElite Training Institute, we built our Tailor-Made Training (TMT) service to embed our expertise directly into your unique strategy, culture, and operations.
We replace generic examples with scenarios from your sector (e.g., public sector, NGOs, financial services, or logistics).
Choose a format that fits your operations: intensive 3 day bootcamps or weekly sessions that minimize work disruption.
We teach directly from your actual templates, brand guidelines, or financial reports.
Host your bespoke training in any of our 21+ global cities, or we'll send facilitators to your office anywhere in the world.
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