Kurse
41 Kurse
Foundations of Reinforcement Learning
Explore reinforcement learning from classical foundations to deep learning methods and reward design, covering MDPs, Q-learning, neural networks, policy gradients, and safety-focused reward programming.
Coursera
Paid Course
Not Specified
Self-Paced
Deep Reinforcement Learning: From Theory to Practice
Master deep reinforcement learning from function approximation to modern algorithms like PPO, DDPG, and SAC, implementing stable agents for high-dimensional environments including games and robotics.
Coursera
Paid Course
6 weeks, 2 hours a week
Self-Paced
Mastering Classic Reinforcement Learning Algorithms
Explore the mathematical foundations of reinforcement learning, covering Markov decision processes, dynamic programming, Q-learning, and SARSA to solve finite decision-making problems using tabular methods.
Coursera
Paid Course
5 weeks, 3 hours a week
Self-Paced
Introduction to Learning
Explore foundational AI learning concepts—supervised, unsupervised, and reinforcement learning—covering decision trees, neural networks, and Q-learning to build practical skills for real-world applications.
Coursera
Paid Course
4 weeks, 1 hour a week
Self-Paced
Reasoning Under Uncertainty
Explore foundational AI concepts including probability, Bayesian Networks, Hidden Markov Models, and Markov Decision Processes to master reasoning and decision-making under uncertainty.
Coursera
Paid Course
12 hours
Self-Paced
Modern Applications of Generative AI
Explore how generative AI behavior is shaped through prompting, RLHF, reasoning scaffolds, and tool use, and apply these insights across real-world domains with ethical awareness.
Coursera
Paid Course
9 hours
Self-Paced
Graduate Certificate in Artificial Intelligence
Develop a strong foundation in key AI topics including statistical analysis, data mining, and machine learning from one of the nation’s top-ranked Tier 1 research institutions.
Coursera
Paid Course
Not Specified
On-Demand
Machine Learning: Theory and Hands-on Practice with Python
Master predictive modeling, unsupervised learning, and neural networks with Python through hands-on practice and theoretical foundations in modern ML techniques.
Coursera
Paid Course
4 weeks, 10 hours a week
On-Demand
Foundations of Probability and Statistics
Master probability, statistics, and stochastic processes with direct applications to data science and AI through three comprehensive mathematical foundations.
Coursera
Paid Course
Not Specified
On-Demand
Security and Ethical Hacking
Dive into offensive cybersecurity through hands-on exploitation of networks, systems, web apps, and AI - building exploits from scratch to develop an adversarial mindset.
Coursera
Paid Course
Not Specified
On-Demand
Computer Vision
Discover the foundations of computer vision through cutting-edge multimodal AI, building intelligent systems that interpret and generate visual data like today's most advanced models.
Coursera
Paid Course
Not Specified
On-Demand
Security & Ethical Hacking: Attacking Web and AI Systems
Discover how to exploit vulnerabilities in web applications and AI systems through hands-on security testing and adversarial machine learning techniques.
Coursera
Paid Course
23 hours 41 minutes
On-Demand