AI+ Everyone™

Empower Lives with AI: Accessible, Intuitive, Impactful

The AI+ Everyone course offers a comprehensive journey through the landscape of artificial intelligence, covering fundamental principles, technological advancements, real-world applications, project workflows, ethical considerations, generative AI, and preparation for an AI-driven future. Participants gain insights into diverse AI technologies and their practical implications across industries, alongside discussions on ethics and societal impact. The course culminates with practical guidance for starting with AI, providing resources for further exploration. Overall, participants are equipped with a holistic understanding of AI, empowering them to navigate its opportunities and challenges in today's rapidly evolving technological landscape.

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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. 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. 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

What Will You Learn?

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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 AI technology and applications' ethical considerations. This includes identifying ethical issues, apply ethical frameworks, and make informed, societally beneficial judgments.

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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.

Industry Opportunities after Course Completion

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Median Salaries

$37,631
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With AI skills

$110,079
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% difference

193

AI & Blockchain Experts

Profiles and Credentials

Hear it from the Learners

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Marc H

Happy to share I've completed the AI+ Executive Certification from AI CERTs! This program has sharpened my skills in strategic AI application + implementation, further equipping me to lead AI-driven organizational transformation.

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Georgia L

As VP Operations, my recent completion of the AI+ Executive exam through AI CERTs was a pivotal step in advancing my AI skill set as we embrace an AI-driven future. This certification not only deepened my understanding of AI's broad impact across various divisions but also equipped me with the tools to make informed, strategic decisions.

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Antonio C

AI+ Executive™ Instructor Guide Certificate. Today, I am part of the team of #CompuEducación instructors to teach the #AI CERTs AI+Executive certification course . This 8-hour course is a new standard for business leaders who want to start a solid path in the adoption of AI for the transformation of their companies. The technological, business, ethical, legal and strategy foundations are covered. The examples of using “AI” are practical, up-to-date, and touch on the different variants of “AI.”

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Doug F

Excited to successfully complete AI Cert's AI+ Marketing certification course! For us marketers, it's imperative to embrace AI and take an active effort in learning how to harness its capabilities to stay relevant and be on the cutting edge of tech.

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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 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.