Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
3 Hour(s) 41 Minute(s)
Language
English
Taught by
Idan Gabrieli
Rating
2 views
Course Overview
Learn the Fundamental Concepts of AI, ML and Generative AI with an Easy, Simple and Fun Training
The Future is Here
Step into the fascinating realm of Generative AI, where machines create content with unprecedented creativity and intelligence. Generative AI is no longer a buzzword; it's reshaping industries and redefining possibilities, opening new doors to innovation and advanced applications. From art and music to healthcare and finance, its impact is undeniable. This course is your gateway to understanding the core concepts driving this revolution.
Demystifying the Complex
Navigating the world of AI can be overwhelming. This course breaks down complex ideas into easy-to-understand concepts. Whether you're a student, tech enthusiast, a business leader, or simply curious, you'll find value in this comprehensive approach.
Build a Strong Foundation
Generative AI is a rapidly evolving field with endless possibilities. This course will equip you with the fundamental theoretical knowledge needed to thrive in the AI-driven world. You'll gain a deep understanding of the AI landscape, the key machine learning building blocks, how Generative AI works, its potential applications, and market use cases across different sectors. We will also talk about limitations, challenges, and ethical considerations while leveraging this cutting-edge technology.
Join the Gen AI Revolution
Ready to embark on this transformative journey? Join me as we explore the exciting world of Generative AI.
Course Content
- 7 section(s)
- 54 lecture(s)
- Section 1 Getting Started
- Section 2 Let's Build the AI Puzzle
- Section 3 Soft Introduction to Machine Learning
- Section 4 The Magic Behind Generative AI
- Section 5 Key Challenges and Limitations
- Section 6 Unleash the Power of Generative AI
- Section 7 Course Summary
What You’ll Learn
- Artificial Intelligence (AI), Machine Learning and Deep Learning
- Fundamentals of Machine Learning
- Typical ML Tasks
- Training Phase, Trained Model, Features
- Supervised/Unsupervised/Semi-supervised Learning
- Artificial Neural Networks (ANNs)
- Deep Learning Architectures
- Large Language Models (LLMs)
- Contextual Prompting, RAG, Fine-Tuning
- Foundation Models
- Prompt, Tokens, Context Window
- Prompt Engineering
- Pretraining and Fine-tuning
- Gen AI - Key Challenges and Limitations
- Text-To-Text/Image/Video/Audio Models
- Generative AI - Key Use Cases
Reviews
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JJeff Peckman
Good so far in learning about the inner workings of AI tech. Thanks.
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AAdi Brin
Idan gives a great introduction to GenAI. He's very clear and informative. I highly recommend this course!
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LLeAnn Pickard
This was really informative and the instructor was easy to understand (not always the case on Udemy classes but yay for captions!). This class helped me understand the layout and structure better of AI. I was having a hard time with it because I'm a SQL programmer and used to structure overall. Then I started learning Python to prepare for doing AI work and Python is the wild west compared to SQL programming. I got a much clearer understanding of the phases and steps that data goes through to train AI models, how AI works, its limitations and challenges. Overall just a really great intro class and I'm thankful for it!
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RRuparaj K
Good
