Exam Format
Delivery
2.1 Machine Learning: Basics and Beyond
2.2 Deep Learning and Neural Networks
2.3 AI Technologies in Action: Simplified Examples
2.4 Interactive Workshop: Exploring AI
3.1 Introduction to AI Applications
3.2 Case Study 1: Smart Speakers
3.3 Case Study 2: Self-Driving Cars
3.4 Case Study 3: Healthcare Applications
4.1 Introduction to AI Project Workflow
4.2 Problem Definition and Data Preparation
4.3 Model Selection, Training, and Validation
4.4 Deployment and Integration
4.5 Evaluation and Iteration
5.1 Introduction to AI Ethics and Social Implications
5.2 Bias and Fairness in AI
5.3 Privacy and Security in the Age of AI
5.4 Responsible AI Development
5.5 AI and Society: Looking Ahead
6.1 Introduction to Generative AI
6.2 Applications of Generative AI in Creativity
6.3 Ethical Considerations in Generative AI
6.4 Exploring the Future of Creativity with AI
7.1 The Future Landscape of AI
7.2 AI and the Transformation of Work
7.3 Lifelong Learning in an AI World
7.4 Staying Relevant in an AI-Driven World
7.5 Interactive Discussion: Preparing for the Future with AI
8.1 Introduction to Starting with AI
8.2 Choosing AI Projects
8.3 Forming AI Teams
8.4 Resources for Learning and Development in AI
1. Understanding AI Agents
2. Case Studies
3. Hands-On Practice with AI Agents
[course_detail id="ai-everyone"]