Artificial Intelligence is a transformative force driving innovation, decision-making, and operational efficiency across industries. But behind the headlines, what are the foundational AI concepts every professional should understand?
In this 45-minute webinar, we unpack the core distinctions between weak, strong, and general AI, helping you understand how these categories translate into real-world applications. You’ll explore when narrow AI (like chatbots and recommendation engines) is appropriate, reflect on the theoretical future of strong and general AI, and evaluate their practical relevance for business and society.
We then turn to machine learning (ML) the engine behind many AI systems. You’ll learn how to select the right type of ML (supervised, unsupervised, reinforcement) for different use cases in healthcare, finance, and retail. The session also highlights how deep learning (DL) a powerful subset of ML—uses neural networks to solve complex tasks like image recognition and natural language processing, and how DL compares to traditional ML in terms of complexity and performance.
Finally, we examine the broader goals of AI adoption in professional settings from automating routine tasks to augmenting human decision-making while also discussing current technological limitations that organizations must be aware of.
What You’ll Learn:
- 🤖 The differences between weak, strong, and general AI—and how they apply in real-world contexts
- 📊 How to evaluate and match machine learning types (supervised, unsupervised, reinforcement) to specific business use cases
- 🧠 The role of deep learning and neural networks in solving high-complexity tasks
- 💼 The current and future impact of AI in business: automation, augmentation, and strategic decision support
- 🎓 How to start your AI certification journey with the AI Fundamentals Certification
- 📚 Study options tailored to your learning style: Self-Paced Online (SPO), Accredited Training Organizations (ATOs), or Self-Study Kits (SSKs)
Speaker:
Jan Willem Middelburg, President of the Data Science Institute (DASCIN)
Target Audience:
Public – aspiring AI professionals, data-driven business leaders, digital transformation managers, and curious learners seeking structured, vendor-neutral AI education.
Register now to secure your spot!
