LinkedIn Learning | Getting Started With AI And Machine Learning - 7 Courses
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[LinkedIn Learning] Getting Started with AI and Machine Learning - Complete 7 Courses

Original course: https://www.linkedin.com/learning/paths/getting-started-with-ai-and-machine-learning

Getting Started with AI and Machine Learning - Complete 7 Courses

Updated Feb 2024

Are you ready to dive into the world of Artificial Intelligence and Machine Learning? This comprehensive learning path will equip you with the knowledge and skills to understand how AI and ML are shaping our world. Whether you're looking to enhance your career or simply stay informed, these courses are your gateway to mastering AI and ML concepts.

What You'll Learn:

  • Understanding AI & ML: Get a solid grasp of how AI and ML work.
  • Industry Applications: Explore how top companies are leveraging these technologies.
  • Ethics & Security: Learn how AI addresses accountability, security, and more.

Learning Path Details:

  • Total Duration: 9h 38m of rich content
  • 7 Expert-Led Courses: Covering everything from foundations to advanced applications.

Course Breakdown:

  1. Artificial Intelligence Foundations: Thinking Machines (1h 36m)
  • By Doug Rose (Updated Oct 2023)
  • Dive into the essentials of AI and its impact on society.
  1. Machine Learning Foundations: Linear Algebra (1h 20m)
  • By Terezija Semenski (Aug 2022)
  • Master the mathematical foundations critical for ML algorithms.

Learners: 32,913

  1. Deep Learning: Getting Started (1h 13m)
  • By Kumaran Ponnambalam (Updated Jan 2024)
  • Learn the basics of deep learning and get started with this powerful technology.

Learners: 50,165

  1. Building Computer Vision Applications with Python (2h)
  • By Eduardo Corpeño (Aug 2022)
  • Create your own image processing applications in Python and deepen your understanding of computer vision.

Learners: 16,196

  1. Reinforcement Learning Foundations (44m)
  • By Khaulat Abdulhakeem (Updated Jan 2024)
  • Discover the principles behind reinforcement learning and its practical applications.
  1. Hands-On PyTorch Machine Learning (56m)
  • By Helen Sun (Dec 2022)
  • Learn how to build machine learning models with the open-source framework, PyTorch.

Learners: 12,808

  1. Artificial Intelligence Foundations: Neural Networks (1h 45m)
  • By Gwendolyn Stripling (Sep 2023)
  • Delve into the workings of neural networks and their role in AI.

Join the learning path today and embark on your AI and ML journey!

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