AI+ Everyone™

Target group

Entrepreneurs and Business Leaders: Gain insights into leveraging AI for strategic decision-making and business growth.

Marketing Professionals: Harness AI to optimize campaigns, understand customer behavior, and enhance personalization strategies. 

Product Managers: Leverage AI to enhance product development, improve user experience, and create data-driven product strategies. 

Consultants & Trainers: Gain expertise in AI to advise clients on technology adoption, process improvement, and digital transformation strategies. 

Students & New Graduates: Gain cutting-edge AI skills to stand out in the evolving tech landscape and future-proof your career. 

Course structure

Course Overview

• Course Introduction Preview

Module 1: Introduction to AI and the Future of Work

• 1.1 Core AI Concepts Demystified
• 1.2 The AI Hierarchy: AI → Machine Learning → Deep Learning → Generative AI
• 1.3 Generative AI Fundamentals
• 1.4 The Evolution of AI Technologies
• 1.5 How AI Is Transforming Industries
• 1.6 The Future of Work and Human-AI Collaboration

Module 2: Generative AI Fundamentals

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

Module 3: Prompt Engineering Essentials

• 3.1 Fundamentals of Prompt Engineering
• 3.2 The Anatomy of an Effective Prompt
• 3.3 Core Prompting Techniques
• 3.4 Common Prompting Mistakes
• 3.5 Case Study: Enterprise Prompt Standardization

Module 4: AI for Workplace Productivity

• 4.1 AI for Email Writing
• 4.2 Meeting Summaries and Documentation
• 4.3 Report and Proposal Generation
• 4.4 Presentation Creation
• 4.5 Research and Knowledge Management
• 4.6 Personal Productivity Enhancement

Module 5: AI for Business and Decision-Making

• 5.1 AI in Marketing
• 5.2 AI in Sales and Customer Service
• 5.3 AI in HR and Recruitment
• 5.4 AI for Business Analysis
• 5.5 AI-Assisted Decision-Making
• 5.6 Data-Driven Insights

Module 6: AI Agents and Intelligent Automation

• 6.1 Introduction to AI Agents
• 6.2 AI Assistants vs AI Agents
• 6.3 Agentic Workflows
• 6.4 No-Code AI Automation Concepts
• 6.5  Personal and Business AI Agents
• 6.6 Future of Autonomous AI Systems

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

• 7.1 Responsible AI Principles
• 7.2 AI Bias and Fairness
• 7.3 Privacy and Data Protection
• 7.4 Security Risks in AI Usage
• 7.5 Intellectual Property Considerations
• 7.6 Human Oversight and Accountability

Module 8: AI Adoption Strategy and Capstone Project

• 8.1 Building an AI-First Mindset
• 8.2 The AI Adoption Framework
• 8.3 Personal AI Productivity Plan
• 8.4 Organizational AI Readiness
• 8.5 Emerging AI Trends to Watch
• 8.6 Continuous Learning Pathways

Optional Module: AI Agents for Everyone

• 1.1 What Are AI Agents?
• 1.2 Significance of AI Agents for Everyone
• 1.3 Applications and Trends of AI Agents for Everyone
• 1.4 How Does an AI Agent Work?
• 1.5 Core Characteristics of AI Agents
• 1.6 Importance of AI Agents
• 1.7 Types of AI Agents

Certification

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