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Overview Prerequisites Self Study Materials Included Tools What You’ll Learn Course Modules FAQs

What’s Included?

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Prerequisites

    • 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 technologies.

Self Study Materials Included

Videos

Engaging visual content to enhance understanding and learning experience.

Podcasts

Insightful audio sessions featuring expert discussions and real-world cases.

Audiobooks

Listen and learn anytime with convenient audio-based knowledge sharing.

E-Books

Comprehensive digital guides offering in-depth knowledge and learning support.

Module Wise Quizzes

Interactive assessments to reinforce learning and test conceptual clarity.

Additional Resources

Supplementary references and list of tools to deepen knowledge and practical application.

Tools You’ll Master

Runway ML

Runway ML

SciPy

SciPy

AIVA

AIVA

Grammarly

Grammarly

What You’ll Learn

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 the ethical considerations of AI technology and its applications. This includes identifying potential ethical issues, applying ethical frameworks, and making informed judgments that benefit society.

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.

Course Modules

Course Overview
Module 1: Introduction To Artificial Intelligence (AI)
  1. 1.1 What is Artificial Intelligence? Preview
  2. 1.2 A Brief History of AI Preview
  3. 1.3 Demystifying AI: Myths vs. Reality Preview
  4. 1.4 The Significance of AI in Everyday Life
Module 2: AI Technologies
  1. 2.1 Machine Learning: Basics and Beyond
  2. 2.2 Deep Learning and Neural Networks Preview
  3. 2.3 AI Technologies in Action: Simplified Examples Preview
  4. 2.4 Interactive Workshop: Exploring AI
Module 3: AI in Action: Applications And Case Studies
  1. 3.1 Introduction to AI Applications
  2. 3.2 Case Study 1: Smart Speakers Preview
  3. 3.3 Case Study 2: Self-Driving Cars
  4. 3.4 Case Study 3: Healthcare Applications
Module 4: The Workflow of AI Projects
  1. 4.1 Introduction to AI Project Workflow
  2. 4.2 Problem Definition and Data Preparation
  3. 4.3 Model Selection, Training, and Validation
  4. 4.4 Deployment and Integration
  5. 4.5 Evaluation and Iteration
Module 5: Ethics And Social Implications Of AI
  1. 5.1 Introduction to AI Ethics and Social Implications
  2. 5.2 Bias and Fairness in AI
  3. 5.3 Privacy and Security in the Age of AI
  4. 5.4 Responsible AI Development
  5. 5.5 AI and Society: Looking Ahead
Module 6: Generative AI And Creativity
  1. 6.1 Introduction to Generative AI
  2. 6.2 Applications of Generative AI in Creativity
  3. 6.3 Ethical Considerations in Generative AI
  4. 6.4 Exploring the Future of Creativity with AI
Module 7: Preparing For An AI-Driven Future
  1. 7.1 The Future Landscape of AI
  2. 7.2 AI and the Transformation of Work
  3. 7.3 Lifelong Learning in an AI World
  4. 7.4 Staying Relevant in an AI-Driven World
  5. 7.5 Interactive Discussion: Preparing for the Future with AI
Module 8: Starting With AI: First Steps And Resources
  1. 8.1 Introduction to Starting with AI
  2. 8.2 Choosing AI Projects
  3. 8.3 Forming AI Teams
  4. 8.4 Resources for Learning and Development in AI
Optional Module: AI Agents for Everyone
  1. 1. Understanding AI Agents
  2. 2. Case Studies
  3. 3. Hands-On Practice with AI Agents

Frequently Asked Questions

No specific prerequisites are required. The course is designed to be accessible to beginners as well as those with some prior knowledge of AI, offering valuable insights for all levels.

This course is designed for anyone interested in gaining a thorough understanding of AI, regardless of background. Whether you're new to AI or looking to deepen your knowledge, AI+ Everyone™ course provides foundational and advanced concepts essential for navigating today's technological landscape.

You will gain a fundamental understanding of AI concepts, learn about key AI technologies, and explore practical applications of AI in real-world scenarios. You will also understand the ethical considerations and societal impact of AI.

After completing the course, you will have access to further learning materials, case studies, and resources that will help you continue exploring AI topics and keep up-to-date with AI advancements.

Participants will gain foundational AI knowledge that will help them understand the key technologies, applications, and challenges of AI. This course will empower them to begin applying AI concepts in personal or professional contexts and make informed decisions about AI implementation.