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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 Core AI Concepts Demystified
  2. 1.2 The AI Hierarchy: AI → Machine Learning → Deep Learning → Generative AI
  3. 1.3 Generative AI Fundamentals
  4. 1.4 The Evolution of AI Technologies
  5. 1.5 How AI Is Transforming Industries
  6. 1.6 The Future of Work and Human-AI Collaboration

  1. 2.1 Introduction: What Do We Mean by “Generative AI”?
  2. 2.2 Understanding Large Language Models (LLMs)
  3. 2.3 How Generative AI Works
  4. 2.4 Multimodal Generation: Text, Image, Audio and Video
  5. 2.5 Popular Generative AI Platforms
  6. 2.6 Capabilities and Limitations of Generative AI

  1. 3.1 Fundamentals of Prompt Engineering
  2. 3.2 The Anatomy of an Effective Prompt
  3. 3.3 Core Prompting Techniques
  4. 3.4 Common Prompting Mistakes
  5. 3.5 Case Study: Enterprise Prompt Standardization

  1. 4.1 AI for Email Writing
  2. 4.2 Meeting Summaries and Documentation
  3. 4.3 Report and Proposal Generation
  4. 4.4 Presentation Creation
  5. 4.5 Research and Knowledge Management
  6. 4.6 Personal Productivity Enhancement

  1. 5.1 AI in Marketing
  2. 5.2 AI in Sales and Customer Service
  3. 5.3 AI in HR and Recruitment
  4. 5.4 AI for Business Analysis
  5. 5.5 AI-Assisted Decision-Making
  6. 5.6 Data-Driven Insights

  1. 6.1 Introduction to AI Agents
  2. 6.2 AI Assistants vs AI Agents
  3. 6.3 Agentic Workflows
  4. 6.4 No-Code AI Automation Concepts
  5. 6.5  Personal and Business AI Agents
  6. 6.6 Future of Autonomous AI Systems

  1. 7.1 Responsible AI Principles
  2. 7.2 AI Bias and Fairness
  3. 7.3 Privacy and Data Protection
  4. 7.4 Security Risks in AI Usage
  5. 7.5 Intellectual Property Considerations
  6. 7.6 Human Oversight and Accountability

  1. 8.1 Building an AI-First Mindset
  2. 8.2 The AI Adoption Framework
  3. 8.3 Personal AI Productivity Plan
  4. 8.4 Organizational AI Readiness
  5. 8.5 Emerging AI Trends to Watch
  6. 8.6 Continuous Learning Pathways

  1. 1.1 What Are AI Agents?
  2. 1.2 Significance of AI Agents for Everyone
  3. 1.3 Applications and Trends of AI Agents for Everyone
  4. 1.4 How Does an AI Agent Work?
  5. 1.5 Core Characteristics of AI Agents
  6. 1.6 Importance of AI Agents
  7. 1.7 Types of AI Agents

AI Tools Covered

Runway ML
SciPy
AIVA
Grammarly
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