AI Foundations and Secure AI Fundamentals

О курсе

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Build a strong foundation in artificial intelligence while learning to secure AI systems, aligned with the CompTIA SecAI+ certification. The course covers AI types, machine learning, statistical learning, transformers, deep learning, and their applications in AI security. Explore NLP, large and small language models, GANs, and model training techniques, including supervised, unsupervised, and reinforcement learning. Learn data security, prompt engineering, and AI data structures to strengthen secure AI practices. Finally, discover Retrieval-Augmented Generation, embeddings, AI lifecycle management, and human-centric design to deploy AI systems safely. Hands-on exercises ensure practical understanding of securing AI models throughout their lifecycle. By the end of the course, you will be able to apply AI fundamentals, secure AI workflows, perform prompt engineering, manage AI data and models, implement RAG workflows, and maintain AI systems safely.

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