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AI+ Everyone Fundamentals™

AI+ Everyone Fundamentals™
  • Beginner-Friendly Course: Ideal starting point for those new to AI, covering core principles and practical insights
  • Comprehensive Learning: Covers AI basics, real-world applications, generative AI, and ethical considerations
  • Industry & Societal Impact: Gain insights into AI’s role in industries and its broader societal influence
  • Actionable Guidance: Offers step-by-step resources to kickstart your AI journey and develop essential skills
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Certificate Code

AC-900

Exam Format

AI-Driven Remote Exam Proctoring

Course Overview

Important details and certification information

Instructor-led OR Self-paced course + Official exam + Digital badge
Instructor-Led: 3 Days (live or virtual)
Basics of digital technologies, Awareness of ethical principles, Curiosity and openness to learning about new concepts and technologies
50 questions, 70% passing, 90 minutes, online proctored exam

Certification Modules

  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

  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

  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

  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

  1. 1. Understanding AI Agents
  2. 2. Case Studies
  3. 3. Hands-On Practice with AI Agents

AI Tools Covered

Runway ML
SciPy
AIVA
Grammarly
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