Explore the fundamentals of generative AI in this introductory course, covering its core principles, applications, and underlying technologies. Delve into various AI modalities, examine real-world uses, and navigate the ethical landscape shaping AI's future
- Introduce the basics of generative AI, including its principles and applications.
- Explore key technologies behind generative AI, such as Large Language Models and neural networks.
- Dive into specific AI modalities including text, image, voice, video and vector generation.
- Highlight real-world applications, open-source tools, and ethical considerations.
- Equip learners with the knowledge to understand and engage with the latest AI innovations.
- Fundamentals and history
- Key concepts and applications
- Machine learning and neural networks overview
- Discriminative vs. generative models
- How large language models work
- Architecture, tokens, and tokenization
- Parameters, weights, and the training process
- Generation process, temperature, and prompts
- Fine-tuning and transfer learning
- Building advanced prompts and use cases
- Understanding text generation models
- Applications and products
- Open-source models and how to use them.
- Understanding image generation models
- Applications in art, design, and more
- Open-source models and how to use them.
- Role of embeddings in similarity search, recommendation systems
- Techniques for generating embeddings
- Open-source models and how to use them.
- Text-to-Speech (TTS) and Speech-to-Text (STT) technologies
- Use cases in virtual assistants, audiobooks, etc.
- Open-source models and how to use them.
- Techniques for generating and manipulating videos
- Applications in entertainment and education
- Open-source models and how to use them.
- Combining modalities for advanced applications
- examples of multi-modal applications
- Real-world applications of generative AI
- Gen-AI in healthcare and education.
- Challenges in AI safety and ethics
- Strategies for mitigating risks
- Research trends, challenges, and opportunities
- Community and collaboration
- How to stay updated with the latest in generative AI