Course Overview:
This specialization provides a comprehensive introduction to Generative Artificial Intelligence (AI), exploring foundational concepts, technologies, and practical applications. Participants will learn about different generative models, including language models, image generation, and more, along with ethical considerations and future trends.
Course Objectives:
By the end of this specialization, participants will be able to:
- Understand the basics of generative AI and how it works
- Explore various generative AI models such as GANs, VAEs, and large language models
- Apply generative AI techniques to real-world use cases
- Recognize ethical, privacy, and societal implications of generative AI
- Stay informed on current trends and future developments in generative AI
Who Should Attend:
- AI enthusiasts and beginners interested in generative AI
- Data scientists and machine learning practitioners
- Software developers and engineers exploring AI applications
- Business professionals seeking to understand AI impact
- Students and researchers in AI and related fields
Course Outline:
Introduction to Generative AI
- Overview of AI and machine learning
- What is generative AI?
- Key concepts and terminology
Generative AI Models
- Generative Adversarial Networks (GANs)
- Variational Autoencoders (VAEs)
- Transformer models and large language models (LLMs)
- Diffusion models
Applications of Generative AI
- Text generation and natural language processing
- Image, video, and audio generation
- Data augmentation and synthetic data creation
- Creative applications: art, music, and design
Building and Training Generative Models
- Data preparation and preprocessing
- Model architecture basics
- Training techniques and challenges
- Evaluating model performance
Ethical and Societal Considerations
- Bias and fairness in generative AI
- Privacy and data security issues
- Responsible AI use and governance
Future Trends and Opportunities
- Emerging technologies and research directions
- AI democratization and accessibility
- Industry impact and innovation opportunities