Generative AI: Getting Started, Get a brief overview of Gen AI and its models, features, LLMs, Transformer Models, etc.
Course 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
