Current
Intermediate
40% Off
Deep Learning and Reinforcement Learning
Coursera · IBM · Updated March 2026
Platform rating
4.5/5
AI Tutor Rating
8.3/10
Duration
1-3 months
Classes
60
IBM course covering deep learning architectures (CNNs, RNNs, GANs, autoencoders) and reinforcement learning fundamentals.
What you'll get
Build and train deep neural networks from scratch
Implement deep reinforcement learning algorithms
Master CNNs, RNNs, and generative models
Fit
Best for
ML Engineers
Data Scientists
AI Researchers
Deep Learning Practitioners
Not ideal for
Learners seeking only entry-level overviews
Prerequisites & pricing
Prerequisites
Python, ML basics
Pricing
Subscription
Certification
Certificate
Growth Leverage: Completing this course positions you for roles such as Machine Learning Engineer, Data Scientist, or AI Researcher, enabling you to pursue advanced certifications like TensorFlow Developer or AWS Certified Machine Learning Specialist, thereby expanding your career opportunities in AI-focused industries.
Skills Value: The ability to build, train, and implement deep learning models can significantly increase your marketability, with average salaries for these roles ranging from $100,000 to $150,000, reflecting strong demand for expertise in neural networks and reinforcement learning.
Deep Learning
Reinforcement Learning
CNN
RNN
GANs
Autoencoders