Generative AI- Getting Started

Generative AI: Getting Started, available at $44.99, has an average rating of 4.46, with 11 lectures, based on 13 reviews, and has 213 subscribers.

You will learn about 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 This course is ideal for individuals who are Those who want to learn Generative AI and its models or Those who want to learn what is a transformer model or Learn about the process of the Transformer Model or Those who want to understand the process of generating new content with Generative AI or Gain a deep understanding of Generative AI It is particularly useful for Those who want to learn Generative AI and its models or Those who want to learn what is a transformer model or Learn about the process of the Transformer Model or Those who want to understand the process of generating new content with Generative AI or Gain a deep understanding of Generative AI.

Enroll now: Generative AI: Getting Started

Summary

Title: Generative AI: Getting Started

Price: $44.99

Average Rating: 4.46

Number of Lectures: 11

Number of Published Lectures: 11

Number of Curriculum Items: 11

Number of Published Curriculum Objects: 11

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

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

Target Audiences

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

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

Course Curriculum

Chapter 1: Introduction

Lecture 1: Artificial Intelligence vs Data Science vs Machine Learning vs Deep Learni

Lecture 2: Deep Learning Types

Chapter 2: What is Generative AI, Its process and techniques

Lecture 1: What is Generative AI & its process

Lecture 2: Techniques for implementing Generative AI

Chapter 3: What are Transformer Models

Lecture 1: Generative AI – Transformers

Chapter 4: Large Language Models

Lecture 1: 6. Large Language Models (LLMs) and its use case

Chapter 5: More about Generative AI

Lecture 1: Generative AI – Applications & Challenges

Lecture 2: Generative AI – Chatbots (Model Types)

Lecture 3: Generative AI – Features & Examples

Chapter 6: Prompts and AI Chatbots

Lecture 1: What are Prompts

Lecture 2: Popular AI Chatbots

Instructors

Studyopedia Trainings
Studyopedia Team

Rating Distribution

1 stars: 0 votes

2 stars: 1 votes

3 stars: 2 votes

4 stars: 3 votes

5 stars: 7 votes

Frequently Asked Questions

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