Data & AI

Artificial Intelligence Demystified: A Practical Guide to Getting Started

In today's world, we often focus heavily on the "intelligence" behind Artificial Intelligence (AI) and overlook the significance of the "artificial" part leading to many misconceptions, myths, and conspiracy theories. AI is frequently portrayed as having human-like thinking abilities or being an all-knowing force that can replace human judgment. These ideas contribute to confusion and even fear surrounding AI. In this course, we aim to demystify AI by separating fact from fiction, exploring how AI works, and highlighting the real-world applications shaping our daily lives.

Throughout the course, we will explore how AI operates, address common myths (e.g., "AI can think like a human" or "AI is inherently biased"), and uncover the ethical challenges that come with its integration into society. By the end, participants will have a clearer understanding of AI’s capabilities and limitations, and how to navigate the reality of AI in today's tech-driven world unveiling both its opportunities and its potential risks.

This course is designed to provide a realistic, accessible introduction to AI, helping participants move beyond fear and misconceptions to embrace the potential of this technology in their everyday lives.

Content
  • What exactly is AI? How do we define Artificial Intelligence?
  • Common Misconceptions
  • Types of AI: Narrow AI, General AI, and Superintelligence?
  • How does AI actually learn? AI Algorithms and learning paradigms
  • AI in daily life: the role of AI in products and services
  • A Gentle Introduction to Machine Learning
  • Ethics in AI
  • How to benefit from AI and protect oneself from potential pitfalls
  • The Future of AI

Learning Outcomes
  • Understand the fundamentals of AI and Machine learning
  • Recognize AI’s Real-World Applications & Impact
  • Analyse the Ethical and Societal Implications of AI
  • Engage in Critical Thinking & Discussion on AI’s Future
Training Method

Mixture of theory and Practical work (Demo, interactive discussions, case studies, and Q&A sessions)

Certification
Certificate of Participation
Prerequisites

There are no prerequisites


Planning and location
Session 1
22/10/2025 - Wednesday
09:00 - 16:00
Session 2
23/10/2025 - Thursday
09:00 - 16:00
Session 3
24/10/2025 - Friday
09:00 - 16:00
Available Edition(s):

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72.00 € 72.0 EUR 72.00 €

72.00 €

Not Available For Sale

Your trainer(s) for this course
Bereket Yilma
View all their courses.