AI+ Everyone Fundamentals™

AI+ Everyone Fundamentals™

Formerly known as AI+ Everyone™<br><br> Empower Lives with AI: Accessible, Intuitive, Impactful

Certificate Code: AC-900

About This Course

  • 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

Certificate Overview

Included

Instructor-led OR Self-paced course + Official exam + Digital badge

Duration

  • Instructor-Led: 1 day (live or virtual) 
  • Self-Paced: 8 hours of content

Prerequisites

Basics of digital technologies, Awareness of ethical principles, Curiosity and openness to learning about new concepts and technologies

Exam Format

50 questions, 70% passing, 90 minutes, online proctored exam

Course Modules

1

Course Overview

2

Module 1: Introduction to AI and the Future of Work

  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
3

Module 2: Generative AI Fundamentals

  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
4

Module 3: Prompt Engineering Essentials

  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
5

Module 4: AI for Workplace Productivity

  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
6

Module 5: AI for Business and Decision-Making

  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
7

Module 6: AI Agents and Intelligent Automation

  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
8

Module 7: Responsible AI, Ethics, Privacy, and Security

  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
9

Module 8: AI Adoption Strategy and Capstone Project

  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
10

Optional Module: AI Agents for Everyone

  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 You'll Learn

Runway ML

Runway ML

SciPy

SciPy

AIVA

AIVA

Grammarly

Grammarly