Certificate in AI & Machine Learning Applications

Day 1: Foundations & Industry Applications

Module 1 – Introduction to AI & Machine Learning

• AI vs. ML vs. Deep Learning: Key Differences
• Types of ML: Supervised, Unsupervised, Reinforcement Learning
• Real-world AI applications across industries

Module 2 – AI in Finance & Insurance

• Fraud detection (banking, claims)
• Algorithmic trading & risk assessment
• Chatbots & customer service automation
• Case Study: AI-driven underwriting in insurance

Module 3 – AI in Healthcare & Retail

• Predictive diagnostics & personalized medicine
• AI in drug discovery & medical imaging
• Recommendation engines (e-commerce, F&B)
• Case Study: AI-powered inventory management in retail

Day 2: Advanced Applications & Implementation

Module 4 – AI in Manufacturing & Supply Chain

• Predictive maintenance in manufacturing
• AI-driven logistics optimization
• Case Study: AI in food supply chain management

Module 5 – AI Ethics & Future Trends

• Bias, fairness, and transparency in AI
• Regulatory challenges (GDPR, AI governance)
• Emerging trends: Generative AI (ChatGPT), Edge AI, AIoT

AI Workshop:

• Teams design an AI solution (no coding required) for a real-world business problem (e.g., fraud detection, demand forecasting, customer personalization)