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

Great customer
service

Making courses
exactly to measure your needs

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

Didn't find a suitable date?

Write to us about listing an alternative tailor-made date.

Contact

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 Artificial Intelligence (AI)

  • 1.1 What is Artificial Intelligence? Preview
  • 1.2 A Brief History of AI Preview
  • 1.3 Demystifying AI: Myths vs. Reality Preview
  • 1.4 The Significance of AI in Everyday Life

Module 2: AI Technologies

  • 2.1 Machine Learning: Basics and Beyond
  • 2.2 Deep Learning and Neural Networks Preview
  • 2.3 AI Technologies in Action: Simplified Examples Preview
  • 2.4 Interactive Workshop: Exploring AI

Module 3: AI in Action: Applications And Case Studies

  • 3.1 Introduction to AI Applications
  • 3.2 Case Study 1: Smart Speakers Preview
  • 3.3 Case Study 2: Self-Driving Cars
  • 3.4 Case Study 3: Healthcare Applications

Module 4: The Workflow of AI Projects

  • 4.1 Introduction to AI Project Workflow
  • 4.2 Problem Definition and Data Preparation
  • 4.3 Model Selection, Training, and Validation
  • 4.4 Deployment and Integration
  • 4.5 Evaluation and Iteration

Module 5: Ethics And Social Implications Of AI

  • 5.1 Introduction to AI Ethics and Social Implications
  • 5.2 Bias and Fairness in AI
  • 5.3 Privacy and Security in the Age of AI
  • 5.4 Responsible AI Development
  • 5.5 AI and Society: Looking Ahead

Module 6: Generative AI And Creativity

  • 6.1 Introduction to Generative AI
  • 6.2 Applications of Generative AI in Creativity
  • 6.3 Ethical Considerations in Generative AI
  • 6.4 Exploring the Future of Creativity with AI

Module 7: Preparing For An AI-Driven Future

  • 7.1 The Future Landscape of AI
  • 7.2 AI and the Transformation of Work
  • 7.3 Lifelong Learning in an AI World
  • 7.4 Staying Relevant in an AI-Driven World
  • 7.5 Interactive Discussion: Preparing for the Future with AI

Module 8: Starting With AI: First Steps And Resources

  • 8.1 Introduction to Starting with AI
  • 8.2 Choosing AI Projects
  • 8.3 Forming AI Teams
  • 8.4 Resources for Learning and Development in AI

Optional Module: AI Agents for Everyone

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

Do you need advice or a tailor-made course?

onas

product support

ComGate payment gateway MasterCard Logo Visa logo