Artificial Intelligence and Machine Learning (AI/ML)

Artificial Intelligence and Machine Learning (AI/ML) refers to the science of making computers mimic human intelligence processes, learning from experiences, adjusting to new inputs, and performing human-like tasks. Coursera's AI/ML catalogue equips you with comprehensive knowledge on these rapidly growing fields. You'll learn about the foundational concepts of AI/ML, including the design of intelligent agents, problem-solving, and learning from observation. The catalogue also delves into advanced topics such as neural networks, deep learning, natural language processing, and reinforcement learning. By mastering these AI/ML concepts, you'll be prepared to develop and deploy AI systems, design intelligent agents, and create machine learning models for various applications in the tech industry.

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Results for "Artificial Intelligence and Machine Learning (AI/ML)"

  • Skills you'll gain: Generative AI, AI Enablement, Artificial Intelligence and Machine Learning (AI/ML), AI literacy, Model Training, Machine Learning, Innovation, Critical Thinking

  • From the course: Introduction to AI·Lesson: Discover how AI works

  • From the course: Introduction to AI·Lesson: Untitled Lesson

  • From the course: AI Fundamentals·Lesson: Untitled Lesson

  • From the course: Stay Ahead of the AI Curve·Lesson: Review: Stay ahead of the AI curve

  • From the course: Foundations of Data Science·Lesson: Trajectory of the Field

  • From the course: AI Fundamentals

  • From the course: Introduction to AI

  • Skills you'll gain: Prompt Engineering, Responsible AI, Prompt Patterns, AI Security, Generative AI, AI literacy, Email Automation, AI Enablement, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Operational Efficiency, Innovation

  • From the course: Stay Ahead of the AI Curve·Lesson: Continue your AI journey