Throughout the course, you'll gain a solid understanding of the underlying technology, including deep learning and neural networks, as well as the architecture of ChatGPT, its variants, and the basics of prompt engineering. You will also learn about the tools, resources, and best practices for building generative AI models. Moreover, you’ll have the chance to explore emerging trends, ethical considerations, and future opportunities in the field.
At the conclusion of the course, you should be able to
- Explain the fundamental concepts and principles of generative AI.
- Describe the practical applications of generative AI across various industries.
- Gain hands-on experience in setting up and working with common generative AI packages, allowing for the creation of intelligent and automated systems.
- Discuss best practices for training and deploying generative AI models, ensuring optimal performance and efficiency.
- Discuss emerging trends and future directions in generative AI, including ethical considerations and challenges associated with its use.
- Practical applications
- Text, image and sound generation
- Deep learning and neural networks
- Prompt engineering
- Model training
- Dataset preparation
- Tools and resources
- Best practices
- Ethical considerations
- Emerging trends
Python and Machine Learning Basics are recommended but not required.
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