Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
Generative AI: Getting Started
Rating: 3.8 out of 5(14 ratings)
215 students

Generative AI: Getting Started

Get a brief overview of Gen AI and its models, features, LLMs, Transformer Models, etc.
Created byStudyopedia Trainings
Last updated 6/2024
English
English [Auto],

What you'll learn

  • Learn Generative AI from scratch.
  • Get a quick overview about Generative
  • Learn about Generative AI techniques and approaches
  • What is a Transformer Model
  • Learn about Large Language Models
  • Generative AI Applications
  • Generative AI Challenges
  • AI Chatbots Models with examples

Course content

6 sections • 11 lectures • 35m total length

  • Artificial Intelligence vs Data Science vs Machine Learning vs Deep Learni5:05

    Explore how artificial intelligence, data science, machine learning, and deep learning relate, and how generative ai fits within this ecosystem to enable data-driven predictions across domains.

  • Deep Learning Types1:43

    See how discriminative deep learning classifies data, while generative deep learning produces new data, like AI avatars or cat images from prompts.

Requirements

  • A computer with an Internet

Description

Generative AI is a subset of Deep Learning. It uses AI neural networks and can process both the labelled and unlabeled data using supervised, unsupervised, and semi-supervised methods.

It refers to a class of artificial intelligence models and algorithms designed to create new content. These models can generate text, images, music, and other forms of data that mimic human-created content.

Generative AI applications are built on top of large language models (LLMs) and foundation models. LLMs are deep learning models.

LLMs are a subset of Deep Learning. LLMs are AI models that power chatbots, such as ChatGPT, Copilot, Google Gemini, etc. LLMs refer to large, general-purpose language models that can be pre-trained and then fine-tuned for specific purposes.


The following are the course lessons:


**Course Lessons**

Section A: Introduction

1. Artificial Intelligence vs Data Science vs

Machine Learning vs Deep Learning

2. Deep Learning Types


Section B: Generative AI and its techniques

3. What is Generative AI

4. Techniques for implementing Generative AI


Section C: What are Transformer Models

5. Generative AI – Transformers


Section D: Large Language Models

6. Large Language Models (LLMs) and its use case


Section E: More about Generative AI

7. Generative AI - Applications & Challenges

8. Generative AI - Chatbots (Model Types)

9. Generative AI - Features & Examples


Section F: Prompts and AI Chatbots

10. What are Prompts

11. Popular AI Chatbots


After completing this course, you will be ready to learn from our following courses on Udemy (udemy/user/studyopedia):

  • Google Gemini Course

  • ChatGPT Course

  • Microsoft Copilot

Who this course is for:

  • Those who want to learn Generative AI and its models
  • Those who want to learn what is a transformer model
  • Learn about the process of the Transformer Model
  • Those who want to understand the process of generating new content with Generative AI
  • Gain a deep understanding of Generative AI

Report abuse