Artificial Intelligence Safety and Responsible Artificial Intelligence Practice course. This course examines the ethical development and responsible implementation of artificial intelligence (AI) and machine learning (ML) systems. In this course, you will learn the latest AI and machine learning security technologies to protect against AI attacks and ensure data integrity and user privacy. You’ll also learn about privacy issues and professional ethics to gain insight into responsible AI practice and ethical considerations. You’ll learn about emerging trends and future directions in artificial intelligence, machine learning, security, ethics, and privacy, focusing on key concepts such as threats, vulnerabilities, and attack vectors. You’ll learn about privacy-related aspects of artificial intelligence and machine learning, including data protection, anonymization, and compliance.
You will gain the necessary skills to protect your artificial intelligence system from cyber attacks. You’ll learn how to use generative AI and large-scale language models (LLM) to protect your projects and organizations from AI cyber threats. With privacy issues in mind, we’ll look at secure and ethical systems through real-life examples that we use every day with ChatGPT, GitHub Co-pilot, DALL-E, Midjourney, DreamStudio (Stable Diffusion) and others. Evolve Gain a solid foundation in the fundamentals of artificial intelligence and machine learning and be better prepared to develop secure, ethical, and privacy-conscious systems. Course teachers Omar Santos and Dr. Petar Radanliffe are industry experts who can help you expand your knowledge of AI security.
What you will learn:
- Basic principles of artificial intelligence and machine learning
- Generative Artificial Intelligence and Large Language Models (LLM)
- Artificial Intelligence Security and Machine Learning
- How attackers use artificial intelligence to carry out attacks
- System security and artificial intelligence infrastructure
- Privacy and Ethics Issues
This course is suitable for people who:
- Want to learn about AI safety and responsible AI practices
- Want to expand your knowledge about artificial intelligence and machine learning.
- Looking for solutions to protect your AI systems from attacks