About
This course, "Generative AI for Software Development," is designed to provide a comprehensive understanding of how generative AI can be applied to various aspects of software development. The course covers fundamental concepts, advanced techniques, and practical applications, making it ideal for software developers, data scientists, and AI enthusiasts. By the end of this course, participants will have a solid understanding of generative AI and its applications in software development. They will be equipped with the skills to build, train, and deploy generative models, and will be prepared to tackle the ethical and practical challenges associated with generative AI. Table of Contents Chapter 1: Introduction to Generative AI Chapter 2: Fundamentals of Machine Learning Chapter 3: Deep Learning Basics Chapter 4: Generative Models Overview Chapter 5: Generative Adversarial Networks (GANs) Chapter 6: Variational Autoencoders (VAEs) Chapter 7: Autoregressive Models Chapter 8: Data Preparation and Preprocessing Chapter 9: Building and Training Generative Models Chapter 10: Fine-Tuning and Transfer Learning Chapter 11: Text Generation with Generative AI Chapter 12: Image Generation with Generative AI Chapter 13: Audio and Music Generation Chapter 14: Ethical Considerations and Challenges Chapter 15: Generative AI in Game Development Chapter 16: Generative AI for Code Generation Chapter 17: Generative AI for Design and Creativity Chapter 18: Advanced Techniques in Generative AI Chapter 19: Deployment and Integration Chapter 20: Future Trends and Directions