AI+ Everyone Fundamentals™

Course code: NPAC900

Formerly known as AI+ Everyone™

Empower Lives with AI: Accessible, Intuitive, Impactful

  • Beginner-Friendly Course: A perfect entry point for those new to AI, introducing foundational principles and practical perspectives
  • Comprehensive Learning: Explores AI fundamentals, real-world use cases, generative AI, and ethical considerations
  • Industry & Societal Impact: Understand how AI is shaping industries and influencing society at large
  • Actionable Guidance: Provides step-by-step resources to launch your AI journey and build essential skills

Professional
and certified lecturers

Internationally
recognized certifications

Wide range of technical
and soft skills courses

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service

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Course dates

Starting date: Upon request

Guaranteed

Type: Self-paced

Course duration: 8 hours

Language: en

Price without VAT: 285 EUR

Register

Starting date: Upon request

Guaranteed

Type: Self-paced

Course duration: 8 hours

Language: en

Price without VAT: 75 EUR

Register

Starting
date
Place
Type Course
duration
Language Price without VAT
G Upon request Self-paced 8 hours en 285 EUR Register
G Upon request Self-paced 8 hours en 75 EUR Register
G Guaranteed course

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Course description

AI Project Workflow Management:

Students will learn to manage AI project workflows from data collection and preprocessing to model building, evaluation, and deployment.

Ethical Decision-Making in AI:

Students will critically examine the ethical considerations of AI technology and its applications. This includes identifying potential ethical issues, applying ethical frameworks, and making informed judgments that benefit society.

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.

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.

Course structure

Course Overview

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

Prerequisites

  • A basic familiarity with digital technologies and their role in everyday life
  • Awareness of ethical considerations and the broader societal implications of technology
  • An open and curious mindset toward exploring new concepts and emerging technologies

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