AI+ Foundation™

Course code: NPAF101

Building the Future with AI: A Strong Foundation for Tomorrow's Innovators

  • Beginner-Friendly Course: A perfect entry point for anyone looking to understand core AI concepts and get acquainted with practical, everyday AI tools.
  • Foundational Learning: Explores essential AI principles, real-world use cases, and the ethical considerations shaping today's AI landscape.
  • No Technical Background Needed: Designed for learners with a general interest in technology — no prior technical expertise required.

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Course dates

Starting date: Upon request

Guaranteed

Type: Self-paced

Course duration: 4 hours

Language: en

Price without VAT: 285 EUR

Register

Starting date: Upon request

Guaranteed

Type: Self-paced

Course duration: 4 hours

Language: en

Price without VAT: 75 EUR

Register

Starting
date
Place
Type Course
duration
Language Price without VAT
G Upon request Self-paced 4 hours en 285 EUR Register
G Upon request Self-paced 4 hours en 75 EUR Register
G Guaranteed course

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Course description

Implement Ethical AI Practices:

Understand the ethical challenges associated with AI adoption and apply ethical considerations to real-world AI implementations.

Prepare Data for AI Models:

Analyze and preprocess data to ensure it is suitable for training AI models, focusing on cleaning, transforming, and structuring data.

Utilize AI Tools and Platforms:

Demonstrate proficiency in using AI-powered tools for tasks such as automation, data analysis, and content generation.

Apply Machine Learning Algorithms:

Identify and apply machine learning algorithms (e.g., regression, classification, clustering) to solve practical problems.

Course structure

Module 1: Introduction to AI & Its Impact

  • 1.1 Understanding AI
  • 1.2 AI in Everyday Life
  • 1.3 Introduction to Machine Learning
  • 1.4 Use-Case, Case Study, and Hands On Activity

Module 2: Prompt Engineering: Interacting with AI

  • 2.1 Defining Prompt Engineering and its Importance
  • 2.2 Enhancement through Well-Crafted Prompts
  • 2.3 Exploring GPT
  • 2.4 Use-Case, Case Study, and Hands On Activity

Module 3: AI in Business & Industry Applications

  • 3.1 Crafting AI Strategies
  • 3.2 Key AI Tools for Business
  • 3.3 Power of GAN AI
  • 3.4 Use-Case, Case Study, and Hands On Activity

Module 4: AI Ethics & Bias

  • 4.1 Overview of Ethical Considerations in AI
  • 4.2 Data Collection and Bias consequences
  • 4.3 Bias Impact on Decision-Making
  • 4.4 Use-Case, Case Study, and Hands On Activity

Module 5: The Future of AI & Career Opportunities

  • 5.1 AI’s Role in Addressing Global Challenges
  • 5.2 How AI is Reshaping Industries and the Nature of Work
  • 5.3 Job Displacement vs. Job Creation
  • 5.4 Skills of the Future
  • 5.5 Use-Case, Case Study, and Hands On Activity

Optional Module: AI Agents for Foundation

  • 1. What Are AI Agents
  • 2. Significance of AI Agents
  • 3. Applications and Trends of AI Agents
  • 4. How Does an AI Agent Work
  • 5. Core Characteristics of AI Agents
  • 6. Importance of AI Agents
  • 7. Types of AI Agents

Prerequisites

  • A general comfort level using everyday technology.
  • An inquisitive mindset toward how AI is being applied across various industries.
  • An interest in understanding the ethical implications of AI’s growing role in society.

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