Module 1: Foundations of AI
Understanding what AI is and how it works — without technical complexity.
- What Artificial Intelligence really means
- How AI learns from data (patterns, training, prediction)
- Machine Learning and Big Data — simplified
- Generative AI vs Traditional AI
- Common misconceptions about AI
- Where AI is already present in daily life
Module 2: AI for Productivity and Daily Use
Applying AI tools to improve everyday efficiency.
- AI for research and information gathering
- Writing and rewriting with AI tools
- Creating presentations and summaries
- Planning and organizing tasks with AI
- AI for time management and structured workflow
- Turning messy tasks into actionable steps
- Responsible use of AI in study and work
Module 3: AI in Business and Operations
How AI supports real workplace functions across departments.
Marketing
- Customer targeting and personalization
- Content generation and campaign analysis
- Predictive insights and trend spotting
Finance
- Risk assessment and forecasting
- Fraud detection and transaction monitoring
- Data-driven financial decision support
Operations & Supply Chain
- Demand prediction
- Inventory optimization
- Process automation and efficiency
Talent & Human Resources
- AI in recruitment and screening
- Workforce analytics
- AI-supported onboarding and training
Module 4: AI Across Industries
How AI is transforming different sectors.
- Healthcare
- Research and development
- Engineering and technical design
- Tech industry
- Money markets
- Construction and infrastructure
- Legal services and compliance
- Agriculture and precision farming
- Aviation systems and safety
- Hospitality and travel personalization
- Beauty industry applications
Module 5: Challenge yourself
Deeper understanding on the different types of Artificial Intelligence, and how they learn through Big Data.
- The difference in application for Generative vs Agentic AI
- AI, Big Data and Machine Learning