Reinforcement Learning and Deep Learning Essentials
Understand the core concepts of reinforcement learning and deep learning. Learn how these cutting-edge technologies can be used to solve complex decision-making problems and optimize AI models for real-world applications.
At a Glance
Reinforcement Learning and Deep Learning are more advanced techniques and areas of Machine Learning. These techniques, centred around multi-layer neural networks, are important drivers behind the evolution of Artificial Intelligence (AI). In just a couple of hours, this course will provide a quick introduction to both Reinforcement Learning and Deep Learning and will even get you to apply these techniques in a hands-on exercise.
By actively engaging with the course content, including video lectures, quizzes, and a hands-on lab, you will develop the skills and confidence necessary to effectively apply your newfound knowledge.
Course Syllabus
Module 1
- Reinforcement Learning
Module 2
- Introduction to Deep Learning
Module 3
- Key Concepts in Neural Networks and Training
Module 4
- Deep Learning Frameworks in Python
- Hands-on Lab: Deep Learning in Python
Recommended Skills Prior to Taking this Course
- Basic knowledge of Python programming language.
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