Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
Mastering the Basics of Generative AI and Machine Learning
Rating: 4.7 out of 5(26 ratings)
1,198 students

Mastering the Basics of Generative AI and Machine Learning

Machine learning, Generative AI
Created byYotta Academy
Last updated 5/2026
English

What you'll learn

  • Understand the fundamentals of Machine Learning and Generative AI and how these technologies are transforming modern applications.
  • Learn the key concepts of AI, ML, Deep Learning, and Large Language Models (LLMs) in a simple and beginner-friendly way
  • Explore how Generative AI models work, including text, image, and content generation.
  • Understand real-world applications of AI and ML used in industries like automation, chatbots, recommendation systems, and data analysis
  • Get an overview of popular AI tools and frameworks used in modern AI development.

Course content

8 sections28 lectures1h 17m total length
  • Defining the AI Landscape2:01
  • The ML Workflow1:30
  • DEMO: Your AI Toolkit3:07

Requirements

  • 1. No prior experience in AI or Machine Learning is required
  • 2. Basic computer knowledge and familiarity with using the internet
  • 3. Curiosity to learn about Artificial Intelligence and Generative AI technologies
  • 4. A computer with internet access (Windows, macOS, or Linux)

Description

This course contains the use of artificial intelligence.
Artificial Intelligence is no longer just a futuristic idea — it’s already part of our daily lives. From the recommendations you see on streaming platforms to chatbots that answer your questions, AI is everywhere. You may not always notice it, but it quietly powers many of the tools and apps you use every day.

In this beginner-friendly course, we’ll start from the ground up. You’ll learn how machines actually learn from data, what Machine Learning really means, and how modern systems can generate text, images, and more. We’ll keep things simple, practical, and easy to follow.

Instead of diving straight into complex theory, we’ll focus on simple explanations and practical examples. For instance, you’ll explore how recommendation systems work and how AI tools automate everyday tasks. This approach helps you connect concepts with real-world use.

By the end, you won’t just know the definitions — you’ll understand how these technologies are used in the real world and feel ready to explore more advanced topics. You’ll also gain confidence in discussing AI concepts clearly.

Whether you're a student curious about AI or a professional looking to upskill, this course is a great place to begin. It’s designed to make your first step into AI both comfortable and meaningful.

Who this course is for:

  • 1. Beginners who want to understand Generative AI and Machine Learning from scratch
  • 2. Students curious about Artificial Intelligence and modern AI technologies
  • 3. Anyone interested in understanding how tools like modern AI models generate content