Generative AI is a groundbreaking field of artificial intelligence that focuses on creating new data, such as images, text, or music, rather than simply analyzing or classifying existing data. This beginner-friendly course introduces you to the fundamentals of generative AI, covering the techniques and tools used to create content with algorithms like Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and transformer models. It’s designed for learners with no prior knowledge of AI who are curious about the future of creative automation and artificial intelligence.
Each lesson provides a step-by-step guide to understanding how generative AI works, with practical examples and beginner-friendly projects to help you apply these concepts in real-world scenarios. By the end of this course, you’ll have a strong grasp of how generative models work and how to experiment with AI tools to generate original content.
Curriculum
- 15 Sections
- 15 Lessons
- Lifetime
- Lesson 1: Introduction to Generative AI1 Item
- Lesson 2: Understanding Neural Networks1 Item
- Lesson 3: Generative Adversarial Networks (GANs)1 Item
- Lesson 4: Variational Autoencoders (VAEs)1 Item
- Lesson 5: Transformer Models and GPT1 Item
- Lesson 6: AI in Art and Design1 Item
- Lesson 7: Text Generation with AI1 Item
- Lesson 8: Deepfakes and Synthetic Media1 Item
- Lesson 9: Introduction to AI Tools1 Item
- Lesson 10: Hands-On Project: Building a Simple Generative Model1 Item
- Lesson 11: AI in Music Generation1 Item
- Lesson 12: Future Trends in Generative AI1 Item
- Lesson 13: Ethical Considerations in AI Content Creation1 Item
- Lesson 14: AI for Social Media and Marketing1 Item
- Lesson 15: Building a Portfolio with AI-Generated Work1 Item
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