7. Green and inclusive AI

Green and inclusive AI Deitals of the course Module 1: Sustainable AI Environmental Impact of AI Green AI Practices Module 2: Inclusive AI Accessibility in AI AI for Diverse Communities Module 3: Ethical Considerations Ethical Dimensions of Green and Inclusive AI Balancing Trade-offs Module 4: AI Policy and Regulation Government Initiatives for Sustainable and Inclusive […]

6. Transversal skills for AI

Transversal skills for AI Deitals of the course Module 1: Problem Solving Critical Thinking in AI Problem Formulation and Decomposition Module 2: Data Analysis Data Interpretation and Visualization Statistical Techniques for AI Module 3: Communication and Collaboration Effective Communication in AI Teams Collaborative AI Development Module 4: Coding and Development AI Programming Languages and Tools […]

5. AI Ethics

AI Terminology Deitals of the course Module 1: Ethics in AI Development Importance of Ethical AI AI and Bias Module 2: Fairness and Accountability Ensuring Fair AI Systems Accountability in AI Module 3: Privacy and Security Data Privacy in AI AI and Cybersecurity Module 4: Ethical Decision-Making Ethical Frameworks in AI Case Studies in AI […]

4. AI in different industries

AI in different industries Deitals of the course Module 1: AI in Healthcare Medical Diagnosis and Treatment Healthcare AI Innovations Module 2: AI in Finance Algorithmic Trading Fraud Detection and Risk Assessment Module 3: AI in Transportation Autonomous Vehicles and Smart Cities Transportation Optimization Module 4: AI in Education Personalized Learning and EdTech AI for […]

3. The AI Revolution: Trends and Tools

The AI Revolution: Trends and Tools Deitals of the course Module 1: Introduction to the AI Revolution Historical Context and Milestones Impact of AI on Industries Module 2: AI in Robotics Role of AI in Robotics Robotic Process Automation (RPA) Module 3: AI and Human-AI Collaboration Human-AI Interaction and Collaboration Augmented Intelligence Module 4: AI […]

2. AI Terminology

AI Terminology Deitals of the course Module 1: Introduction to AI Terminology Key Concepts and Definitions Understanding the AI Ecosystem Module 2: Data and Algorithms Data Types and Sources Common AI Algorithms and Models Module 3: Machine Learning and Deep Learning Foundations of Machine Learning Deep Learning and Neural Networks Module 4: Natural Language Processing […]

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