Curriculum
10 Sections
40 Lessons
10 Weeks
Expand all sections
Collapse all sections
Introduction to Generative AI
4
1.1
What is Generative AI
1.2
History and evolution
1.3
Real-world use cases
1.4
Generative AI vs Traditional AI
Types of Generative Models
4
2.1
Overview of generative models
2.2
GANs (Generative Adversarial Networks)
2.3
VAEs (Variational Autoencoders)
2.4
Diffusion models basics
Understanding Large Language Models (LLMs)
4
3.1
What are LLMs
3.2
How they are trained
3.3
Prompting basics
3.4
Applications of LLMs
Prompt Engineering Essentials
4
4.1
Role of prompts
4.2
Types of prompts
4.3
Prompt tuning techniques
4.4
Chain-of-thought prompting
Generative AI Tools & Platforms
4
5.1
ChatGPT overview
5.2
DALL·E and image generation
5.3
Google Gemini, Claude, and others
5.4
Open-source vs commercial tools
Text Generation & Applications
4
6.1
Text summarization
6.2
Email and content generation
6.3
Code generation basics
6.4
Chatbot creation
Image, Audio & Video Generation
4
7.1
AI-generated images (DALL·E, Midjourney)
7.2
AI music & voice tools
7.3
Video synthesis basics
7.4
Ethical considerations
Ethics & Risks in Generative AI
4
8.1
Deepfakes and misinformation
8.2
Bias and fairness issues
8.3
Copyright and plagiarism risks
8.4
Responsible AI principles
Hands-on with Generative AI Tools
4
9.1
Using ChatGPT for real tasks
9.2
Creating with image AI tools
9.3
Experimenting with prompts
9.4
Mini creative projects
Future Trends & Career Opportunities
4
10.1
Evolving landscape of AI
10.2
Generative AI in industries
10.3
Emerging job roles
10.4
Building your AI portfolio
Generative AI Fundamentals
Search
This content is protected, please
login
and enroll in the course to view this content!
Home
Courses
Search
Search
Account
Login with your site account
Lost your password?
Remember Me
Not a member yet?
Register now
Register a new account
Are you a member?
Login now
Modal title
Main Content