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Course Introduction

Introduction AI+ Everyone - Audio File

Module 01: Introduction to Artificial Intelligence

1.1 Defining AI: The Science and Engineering of Making Intelligent Machines

1.2 The Spectrum of AI: Narrow AI vs. General AI

1.3 Examples of AI in Everyday Life

Activity 1

1.4 The Inception of AI: Key Figures and Milestones

1.5 AI Through the Ages: From Turing to Resurgence

Activity 2

1.6 Demystifying AI: Myths vs. Reality

Activity 3

1.7 AI in Consumer Technology and Workplace

1.8 The Societal Impact of AI: Healthcare, Education, and Beyond

Activity 4

Introduction to Artificial Intelligence - Audio File

Module 1: Introduction to Artificial Intelligence

Module 02: AI Technologies

2.1 Understanding Machine Learning Algorithms: Supervised vs. Unsupervised Learning

2.2 Real-World Applications of Machine Learning

2.3 Tools and Platforms for Machine Learning Development

Activity 1

2.4 The Architecture of Neural Networks: Neurons, Layers, and Activation Functions

2.5 Introduction to Deep Learning: Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), And Transformers

2.6 Case Studies: Image Recognition, Natural Language Processing

Activity 2

2.7 Demonstrating How AI Powers Everyday Applications

2.8 The Role of Data in Training AI Models

2.9 Limitations and Challenges of Current AI Technologies

Activity 3

Activity 4

AI Technologies - Audio File

Module 2: AI Technologies

Module 03: AI in Action: Applications and Case Studies

3.1 AI’s Impact: Transforming Sectors and Industries

3.2 Introduction to the Case Study Method

Activity 1

3.3 Technology Behind Smart Speakers: Voice Recognition and Natural Language Processing

3.4 Impact on Consumer Behavior and the Future of Voice Technology

Activity 2

3.5 Overview of Autonomous Vehicle Technology: Sensors, Data, And AI Decision-Making

3.6 Self-Driving Cars: Ethics, Challenges, and Opportunities

Activity 3

3.7 AI in Healthcare: From Diagnostics to Personalized Medicine

3.8 Ethical Implications: Patient Privacy and AI Decision-Making in Healthcare

Activity 4

Activity 5

AI in Action: Applications and Case Studies - Audio File

Module 3: AI in Action: Applications and Case Studies

Module 04: The Workflow of AI Projects

4.1 Overview of the AI Project Lifecycle

4.2 Navigating AI Projects: Milestones and Clear Objectives

Activity 1

4.3 Identifying and Defining the AI Problem

4.4 Data Collection, Cleaning and Pre-processing Techniques

Activity 2

4.5 Overview of Common AI Models and Algorithms

4.6 Training the Model: Techniques, Tools, and Best Practices

4.7 Validating the Model: Performance Metrics and Validation Strategies

Activity 3

4.8 AI Deployment: Integration, Monitoring, and Maintenance

Activity 4

4.9 Measuring Success and Refining AI Models)

4.10 Case study: Development of a Smart Assistant for Customer Support as an AI Project from Start to Finish

Activity 5

Activity 6

The Workflow of AI Projects - Audio File

Module 4: The Workflow of AI Projects

Module 05: Ethics and Social Implications of AI

5.1 The Importance of Ethics in AI Development and Application

5.2 Ethical AI: Addressing Concerns for Positive Societal Impact

Activity 1

5.3 Bias and Fairness in AI

Activity 2

5.4 Privacy and Security in the Age of AI

Activity 3

5.5 Responsible AI Development

Activity 4

5.6 AI and Society: Looking Ahead)

Activity 5

Activity 6

Ethics and Social Implications of AI - Audio File

Module 5: Ethics and Social Implications of AI

Module 06: Generative AI and Creativity

6.1 Defining Generative AI and its Distinction from Other AI Technologies

6.2 Overview of Generative AI Models (e.g., GANs, VAEs, Transformer models)

6.3 The Role of Generative AI in Creativity and Innovation

Activity 1

6.4 Case Studies of Generative AI in Art, Music, Writing, and Design

6.5 Demonstrating Tools and Platforms that Leverage Generative AI for Creative Purposes

6.6 The Creative Process Augmented by AI: Collaboration between Humans and Machines

Activity 2

6.7 Ethical Considerations in Generative AI

Activity 3

6.8 Exploring the Future of Creativity with AI

Activity 4

Generative AI and Creativity - Audio File

Module 6: Generative AI and Creativity

Module 07: Preparing for AI Driven Future

7.1 The Future Landscape of AI

Activity 1

7.2 AI and the Transformation of Work

Activity 2

7.3 Lifelong Learning in an AI World

7.4 Strategies for Individuals and Organizations to Leverage AI for Growth

7.5 Navigating Ethical Considerations and Societal Impacts in AI Adoption

7.6 Case Studies: Successful Adaptation and Innovation in the AI Era

Activity 3

7.7 Preparing for the Future with AI

Activity 4

Activity 5

Preparing for an AI-Driven Future - Audio File

Module 7: Preparing for an AI-Driven Future

Module 08: Starting with AI: First Steps and Resources

8.1 The Importance of a Strategic Approach to AI Adoption

8.2 Understanding AI Ecosystem and Assessing Readiness

Activity 1

8.3 Identifying and Selecting Promising AI Opportunities

8.4 Setting Realistic Goals and Expectations for AI Initiatives

8.5 Key Roles and Skills Needed for AI Projects

8.6 Building vs. Buying AI Capabilities: Considerations and Strategies

8.7 Fostering a Culture of AI Innovation and Learning

Activity 2

8.8 Resources for Learning and Development in AI

Activity 3

Activity 4

Starting with AI: First Steps and Resources - Audio File

Module 8: Starting with AI: First Steps and Resources

Course Summary

Course Summary

Additional Module - AI Agents For Everyone

AI Agent Everyone

Resources

AI+ Everyone Blueprint

AI+ Everyone Detailed Curriculum

AI+ Everyone Tools

AI+ Everyone Resources and References

AI CERTs Exam Guidelines

AI CERTs Exam Guidelines

AI+ Everyone Examination

AI+ Everyone Examination

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