AI, Machine Learning, Deep Learning and Generative AI Explained

IBM Technology · Beginner ·📐 ML Fundamentals ·10:01 ·1y ago

Key Takeaways

IBM Technology explains AI, Machine Learning, Deep Learning, and Generative AI concepts and techniques, including Agentic AI and Data.

Original Description

Want to learn more about Agentic AI + Data? Register here → https://ibm.biz/BdeGLe Want to play with the technology yourself?
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

This video explains the basics of AI, Machine Learning, Deep Learning, and Generative AI, and introduces Agentic AI and Data concepts. Viewers can learn about the latest AI technologies and register to play with the technology themselves.

Key Takeaways
  1. Register for Agentic AI + Data
  2. Explore AI and Machine Learning basics
  3. Learn about Deep Learning and Generative AI
  4. Understand Agentic AI concepts
  5. Play with AI technology
💡 Agentic AI combines AI and Data to create more intelligent and autonomous systems.

Related Reads

📰
Inside the Machine: How Monte Carlo Simulation Actually Works
Learn how Monte Carlo simulation works and its applications in finance, including pricing options and measuring risk
Medium · Python
 📰
Best practices for multi-turn reinforcement learning in Amazon SageMaker AI
Learn best practices for reliable multi-turn reinforcement learning training in Amazon SageMaker AI to improve agent performance
AWS Machine Learning
 📰
Machine Learning Concepts Explained #2: The Four Types of Machine Learning
Learn the four types of machine learning and how they differ in their learning approaches
Medium · AI
 📰
Machine Learning Concepts Explained #2: The Four Types of Machine Learning
Learn the four types of machine learning and how they differ in learning approaches
Medium · Machine Learning
Up next
Is Python Dead in 2026?| Truth About Python in AI Era | 90 Days Roadmap @FameWorldEducationalHub
FAME WORLD EDUCATIONAL HUB
Watch →