Description
Getting Started with AI and Machine Learning is a LinkedIn Learning path that introduces AI and machine learning from the ground up, combining conceptual foundations with hands-on tool practice across a sequence of seven courses.
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The path bundles seven individual LinkedIn Learning courses, each from a different instructor, totaling roughly 10 hours: Artificial Intelligence Foundations: Thinking Machines (Doug Rose, 1h36m) covers strong and weak AI and core approaches such as machine learning; Machine Learning Foundations: Linear Algebra (Terezija Semenski, 1h21m) covers the math behind ML algorithms; Deep Learning: Getting Started (2024) (Kumaran Ponnambalam, 1h13m) covers the basics of getting a deep learning model running; Hands-On AI: Image Processing with Python (Eduardo Corpeño, 2h10m) covers building image-processing algorithms from scratch and using libraries for real projects; Reinforcement Learning Foundations (Khaulat Abdulhakeem, 44m) covers RL terminology and problem types; Hands-On PyTorch Machine Learning (Helen Sun, 56m) covers building models with PyTorch; and Artificial Intelligence Foundations: Neural Networks (Gwendolyn Stripling, 1h56m) covers the techniques behind artificial neural networks. Completing all seven courses earns a badge of completion.
By the end of the path, learners are meant to understand how AI and machine learning work, how AI raises questions around accountability and security, how to analyze machine learning models for performance, and how to build neural networks using PyTorch and Keras.
Access requires a LinkedIn Learning subscription, and a 1-month free trial is offered to new users.
The path is aimed at people upskilling toward machine learning engineer or data scientist roles; its introductory framing and short per-course runtimes make it a starting point rather than a deep specialization. LinkedIn notes the path is scheduled for a content update around November 2, 2026, so learners aiming for the completion badge should finish before that date or may need to complete additional courses.
- CategoryCorporate Training & E-Learning
- Pricing ModelFree
Getting Started with AI and Machine Learning's Core Features
Seven-course curriculum covering AI foundations, machine learning math, and neural networks
About 10 hours of combined video instruction
Hands-on modules for image processing in Python and model-building in PyTorch
A dedicated reinforcement learning foundations course
Linear algebra module covering the math behind ML algorithms
Deep learning basics course for getting a working model running
Badge of completion on finishing the full path
Instruction from six named subject specialists across the seven courses
How to use Getting Started with AI and Machine Learning?
Start a free trial: sign up for LinkedIn Learning's 1-month free trial to unlock the path
Follow the sequence: work through the seven courses in order, starting with AI foundations
Practice with code: complete the hands-on image-processing and PyTorch exercises
Complete each course: finish the path before the November 2, 2026 update to keep continuity toward the badge
Earn your badge: finish all seven courses to receive the completion badge
Getting Started with AI and Machine Learning's Use Cases
- AI/ML career transition
- Neural network basics
- Applied image processing
