Getting Started with AI and Machine Learning

Dive into the dynamic field of AI and machine learning with this comprehensive learning path. Gain essential insights into image processing, reinforcement learning, and neural networks while mastering tools like Python, OpenCV, PyTorch, and Keras. Implement powerful algorithms, construct efficient machine learning models, and apply innovative technologies across various sectors. Start upskilling today to become an adept machine learning engineer or data scientist.

Gain an understanding of how AI and machine learning work.
Learn how AI addresses accountability, security, and more.
Analyze machine learning models for performance improvements.
Develop neural networks using PyTorch and Keras.

Syllabus

Courses under this program:
Course 1: Artificial Intelligence Foundations: Thinking Machines
-Learn the key concepts behind artificial intelligence (AI), including strong and weak AI, approaches such as machine learning, and practical uses for new AI-enhanced technologies.

Course 2: Machine Learning Foundations: Linear Algebra
-Explore the fundamentals of linear algebra, the mathematical foundation of machine learning algorithms.

Course 3: Deep Learning: Getting Started
-Learn the basics of deep learning and get up and running with this technology.

Course 4: Building Computer Vision Applications with Python
-Get a deeper understanding of computer vision by creating your own image processing applications in Python.

Course 5: Reinforcement Learning Foundations
-Learn the basics of reinforcement learning (RL), including the terminology, the kinds of problems you can solve with RL, and the different methods for solving those problems.

Course 6: Hands-On PyTorch Machine Learning
-Discover the fundamentals of creating machine learning models with PyTorch, the open-source machine learning framework.

Course 7: Artificial Intelligence Foundations: Neural Networks
-Learn the fundamental techniques and principles behind artificial neural networks.

Taught by

Barton Poulson, Doug Rose, Doug Rose, Doug Rose, Sarah Jersild, Eduardo Corpeño, Deepak Agarwal, Oliver Yarbrough, M.S., PMP®, Aki Ohashi and Sam Sehgal