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AI+ Everyone™

AC-900

Empower Lives with AI: Accessible, Intuitive, Impactful

The AI+ Everyone™ course is your perfect starting point for AI learning for beginners. Covering AI basics for beginners, it introduces core AI principles, real-world applications, ethical considerations, and generative AI. Gain practical insights into AI technologies, industry impact, and societal implications. Designed for those stepping into AI, the course offers actionable guidance to kickstart your journey and resources to explore further. Equip yourself with the skills to thrive in today’s AI-driven world.

Certification Duration: 8 hours (1 Day)

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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

Modules

8

Examination

1

50 MCQs

90 Minutes

Passing Score

70%

Certification Modules

  1. Course Introduction Preview
  1. 1.1 What is Artificial Intelligence?
  2. 1.2 A Brief History of AI
  3. 1.3 Demystifying AI: Myths vs. Reality
  4. 1.4 The Significance of AI in Everyday Life
  1. 2.1 Machine Learning: Basics and Beyond
  2. 2.2 Deep Learning and Neural Networks
  3. 2.3 AI Technologies in Action: Simplified Examples
  4. 2.4 Interactive Workshop: Exploring AI
  1. 3.1 Introduction to AI Applications
  2. 3.2 Case Study 1: Smart Speakers
  3. 3.3 Case Study 2: Self-Driving Cars
  4. 3.4 Case Study 3: Healthcare Applications
  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
  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
  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
  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
  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

Certification Modules

  1. Course Introduction Preview
  1. 1.1 What is Artificial Intelligence?
  2. 1.2 A Brief History of AI
  3. 1.3 Demystifying AI: Myths vs. Reality
  4. 1.4 The Significance of AI in Everyday Life
  1. 2.1 Machine Learning: Basics and Beyond
  2. 2.2 Deep Learning and Neural Networks
  3. 2.3 AI Technologies in Action: Simplified Examples
  4. 2.4 Interactive Workshop: Exploring AI
  1. 3.1 Introduction to AI Applications
  2. 3.2 Case Study 1: Smart Speakers
  3. 3.3 Case Study 2: Self-Driving Cars
  4. 3.4 Case Study 3: Healthcare Applications
  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
  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
  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
  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
  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

Tools

Runway ML

SciPy

AIVA

Grammarly

Exam Objectives

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AI Project Workflow Management

Students will learn to manage AI project workflows from data collection and preprocessing to model building, evaluation, and deployment.

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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.

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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.

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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.

Career Opportunities Post-Certification

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Median Salaries

$37,631
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With AI Skills

$1,10,079
Mail

% Difference

193
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Product Managers

Improves products to meet market, consumer, and business needs. Executes development projects, gather insights, and iterate features for valuable AI solutions.

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Data Analyst

Effective interpreters optimize algorithms using AI-generated data. Their insights influence strategic decision-making, aiding firms in utilizing data for AI solutions across domains.

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Architect

Create AI architecture to meet commercial and technological needs. Their strategy enables scalability and efficiency, facilitating AI implementation to solve business problems.

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Ethics Consultants

Advises on ethical AI development and deployment, ensuring trust, fairness, and social benefit while mitigating bias, privacy, and transparency threats.

AI & Blockchain Experts

Profiles and Credentials

Abdullah ElShandawily

James (Jim) Hollis

Jino Joseph

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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.

Participants will learn about various AI technologies, their practical implications, and how to navigate AI project workflows. The course also provides practical guidance for starting with AI and offers resources for further exploration.

The course concludes with practical guidance for continuing your AI journey, including descriptive modules, detailed curriculums, references, and tools for effective understanding of AI concepts and applications.

Participants gain a holistic understanding of AI, empowering them to navigate its opportunities and challenges in today's evolving landscape. They acquire skills essential for implementing AI solutions, addressing ethical considerations, and preparing for future advancements in AI technology.

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