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, It's 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
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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