The Next Frontier: Generative AI for Absolute Beginners

Name: The Next Frontier: Generative AI for Absolute Beginners
Rating: 4.6 (6556 reviews)

Learn the Fundamental Concepts of AI, ML and Generative AI with an Easy, Simple and Fun Training

Created byIdan Gabrieli

Last updated 6/2025

English

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

Course content

7 sections • 54 lectures • 3h 41m total length

Welcome!2:02
Few Recommendations0:22

Introduction2:48
The ML Box (I/O)4:05
Typical ML Tasks5:35
Training Phase4:53
Y = F(X) - OMG!5:46
Data Types4:50
Features4:41
Please Call the Supervisor!8:48
Explore supervised, unsupervised, semi-supervised, and reinforcement learning, and how labeled data, training data sets, and rewards guide model optimization and pattern discovery.
Summary5:38
Explore the machine learning box concept, core tasks: prediction, classification, clustering, and content generation; training processes, data types, features, and learning methods, with a peek at generative AI.
Quiz #2 - ML

Introduction2:26
Artificial Neural Networks2:57
Deep Learning Architectures7:51
Foundation Models4:03
Large Language Models (LLMs)5:23
Model Types4:07
Prompt and Tokens4:43
Total Tokens and Context Window4:29
Next Token Please!4:05
Explore how LLMs operate in a sequential mode, predicting the next token using probability distributions learned from massive data, and why slight randomness creates diverse, creative outputs.
Self-Supervised Learning6:54
Improving and Adapting LLMs8:21
Explore three methods to tailor large language models: contextual prompting with prompt engineering, retrieval augmented generation using private data and external sources, and cost-effective fine tuning via transfer learning.
Summary6:53
Generative AI creates content by analyzing text with transformer foundation models and LLMs, covering prompts, tokens, context windows, domain-specific versus general models, and retrieval or fine tuning.
Quiz #3 - Gen AI

Introduction2:02
Prompt Sensitivity2:35
Knowledge Cutoff3:52
It is not Deterministic3:51
Structured Data3:01
Hallucinations2:13
Lack of Common Sense1:58
Bias and Fairness3:17
Data Privacy, Security, and Misuse2:05
Summary3:52
Explore the challenges and limitations of generative AI, including prompt sensitivity, knowledge cutoff, and model randomness, and learn how to mitigate risks such as hallucinations and data privacy.
Quiz #4 - Challenges and Limitations

Introduction1:37
Discover practical applications of generative AI and market use cases shaping many industries to boost efficiency, creativity, and innovation while navigating an evolving landscape of tools and setting realistic expectations.
Text-Image-Video-Audio Generation5:53
Web-Based vs Application-Based (APIs)3:32
Use Case - Brainstorm Assistant3:41
Use Case - Summarization2:31
Use Case – Text Enhancement2:20
Learn how to use free chatbot JNI tools to enhance text by copy-pasting content and guiding prompts to fix grammar and improve flow, while preserving your human touch.
Use Case - Code Generation7:25
Use Case – Content as a Framework2:52
Explore AI use cases beyond basics, drafting blogs, articles, scripts, and product descriptions; use AI as a starting framework for drafts, and add a human touch to ensure ethical content.
Use Case – Images on Demand2:42
Use Case – Boosting AI-Based Apps2:38
Best Practices for Prompts7:19
Summary4:28
Explore ai content types—text, image, video, and audio—and consumption modes: web based and application based. Practice prompts for brainstorming, summarizing, enhancing text, and generating code or images on demand.

Requirements

Nothing specific is needed to start the training program.

Description

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.

Who this course is for:

Engineers
Software developers
IT Professionals
Product/Project/Marketing Managers
Solutions Architects

The Next Frontier: Generative AI for Absolute Beginners

What you'll learn

Explore related topics

Course content

Getting Started2 lectures • 2min

Let's Build the AI Puzzle6 lectures • 23min

Soft Introduction to Machine Learning9 lectures • 47min

The Magic Behind Generative AI12 lectures • 1hr 2min

Key Challenges and Limitations10 lectures • 29min

Unleash the Power of Generative AI12 lectures • 47min

Course Summary3 lectures • 11min

Requirements

Description

Who this course is for: