AIEVAHAI CertsAH-AIEV1.0<ul> <li><strong>AI Project Workflow Management</strong><ul> <li>Students will learn to manage AI project workflows from data collection and preprocessing to model building, evaluation, and deployment.</li></ul></li><li><strong>Ethical Decision-making in AI</strong><ul> <li>Students will critically examine AI technology and applications&#039; ethical considerations. This includes identifying ethical issues, apply ethical frameworks, and make informed, societally beneficial judgments.</li></ul></li><li><strong>Creativity and Innovation with Generative AI</strong><ul> <li>Students will examine how generative AI promotes creativity and innovation. This involves deep learning-based generative models to generate new ideas, designs, and content.</li></ul></li><li><strong>Critical thinking and problem-solving</strong><ul> <li>Students will improve their critical thinking and problem-solving skills, evaluate approaches, and create innovative solutions, encouraging innovation and adaptability in AI problem-solving.</li></ul></li></ul><ul> <li>Understand the basics of digital technologies and how they affect life</li><li>Awareness of ethical principles and societal impact of technology</li><li>Curiosity and openness to learning about new concepts and technologies</li></ul><h4>Module 1: Introduction to Artificial Intelligence (AI)</h4><ul> <li>1.1 What is Artificial Intelligence?</li><li>1.2 A Brief History of AI</li><li>1.3 Demystifying AI: Myths vs. Reality</li><li>1.4 The Significance of AI in Everyday Life</li></ul><h4>Module 2: AI Technologies</h4><ul> <li>2.1 Machine Learning: Basics and Beyond</li><li>2.2 Deep Learning and Neural Networks</li><li>2.3 AI Technologies in Action: Simplified Examples</li><li>2.4 Interactive Workshop: Exploring AI</li></ul><h4>Module 3: AI in Action: Applications and Case Studies</h4><ul> <li>3.1 Introduction to AI Applications</li><li>3.2 Case Study 1: Smart Speakers</li><li>3.3 Case Study 2: Self-Driving Cars</li><li>3.4 Case Study 3: Healthcare Applications</li></ul><h4>Module 4: The Workflow of AI Projects</h4><ul> <li>4.1 Introduction to AI Project Workflow</li><li>4.2 Problem Definition and Data Preparation</li><li>4.3 Model Selection, Training, and Validation</li><li>4.4 Deployment and Integration</li><li>4.5 Evaluation and Iteration</li></ul><h4>Module 5: Ethics and Social Implications of AI</h4><ul> <li>5.1 Introduction to AI Ethics and Social Implications</li><li>5.2 Bias and Fairness in AI</li><li>5.3 Privacy and Security in the Age of AI</li><li>5.4 Responsible AI Development</li><li>5.5 AI and Society: Looking Ahead</li></ul><h4>Module 6: Generative AI and Creativity</h4><ul> <li>6.1 Introduction to Generative AI</li><li>6.2 Applications of Generative AI in Creativity</li><li>6.3 Ethical Considerations in Generative AI</li><li>6.4 Exploring the Future of Creativity with AI</li></ul><h4>Module 7: Preparing for An AI-Driven Future</h4><ul> <li>7.1 The Future Landscape of AI</li><li>7.2 AI and the Transformation of Work</li><li>7.3 Lifelong Learning in an AI World</li><li>7.4 Staying Relevant in an AI-Driven World</li><li>7.5 Interactive Discussion: Preparing for the Future with AI</li></ul> <h4>Module 8: Starting with AI: First Steps and Resources</h4><ul> <li>8.1 Introduction to Starting with AI</li><li>8.2 Choosing AI Projects</li><li>8.3 Forming AI Teams</li><li>8.4 Resources for Learning and Development in AI</li></ul>- AI Project Workflow Management - Students will learn to manage AI project workflows from data collection and preprocessing to model building, evaluation, and deployment. - Ethical Decision-making in AI - Students will critically examine AI technology and applications' ethical considerations. This includes identifying ethical issues, apply ethical frameworks, and make informed, societally beneficial judgments. - Creativity and Innovation with Generative AI - Students will examine how generative AI promotes creativity and innovation. This involves deep learning-based generative models to generate new ideas, designs, and content. - Critical thinking and problem-solving - Students will improve their critical thinking and problem-solving skills, evaluate approaches, and create innovative solutions, encouraging innovation and adaptability in AI problem-solving.- Understand the basics of digital technologies and how they affect life - Awareness of ethical principles and societal impact of technology - Curiosity and openness to learning about new concepts and technologiesModule 1: Introduction to Artificial Intelligence (AI) - 1.1 What is Artificial Intelligence? - 1.2 A Brief History of AI - 1.3 Demystifying AI: Myths vs. Reality - 1.4 The Significance of AI in Everyday Life Module 2: AI Technologies - 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 Module 3: AI in Action: Applications and Case Studies - 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 Module 4: The Workflow of AI Projects - 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 Module 5: Ethics and Social Implications of AI - 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 Module 6: Generative AI and Creativity - 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 Module 7: Preparing for An AI-Driven Future - 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 Module 8: Starting with AI: First Steps and Resources - 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 AI1 jour995.00995.00995.00995.001375.00995.00995.00