Reinforcement Learning Diploma
From formulating the problem mathematically to PPO and Actor-Critic
You start with the core concepts and the mathematical formulation of the reinforcement learning problem (Markov Decision Process), then move on to the best-known algorithms such as Temporal Difference, Policy Gradient and Actor-Critic, with hands-on implementations using PyTorch.
Staff ML Engineer, General Motors
What you'll learn
- Understand the fundamentals of reinforcement learning and where it sits within AI and machine learning.
- Formulate the problem mathematically as a Markov decision process (MDP) and solve it with Policy Iteration.
- Apply Q-Learning and Deep Q-Learning.
- Build Policy Gradient, PPO, Actor-Critic and Soft Actor-Critic algorithms.
- Train intelligent agents (Agents) that make decisions through experience, using PyTorch.
- Get introduced to Offline RL, Imitation Learning and Model-based RL.
- Understand how reinforcement learning is used to train large language models (RL for LLMs).
- Prepare for advanced and research-level work in AI.
Students who learned with us now work at
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Dr. Ahmed Hefny
Staff ML Engineer on the autonomous driving team at General Motors, with a PhD from Carnegie Mellon University and hands-on experience building AI systems for self-driving cars and robotics.
- Combines the academic side with practical application
- Explains step by step, from the fundamentals to advanced concepts
- Real-world applications from robotics, recommender systems and autonomous driving
Full curriculum: 4 units
The diploma explains every algorithm along with a hands-on implementation. Two lectures are free, so you can judge the teaching before you decide.
01Foundations of Reinforcement Learning4 lectures
02Foundations of Reinforcement Learning II5 lectures
03Model-Free Online Deep Reinforcement Learning8 lectures
04Applications and Advanced Topics8 lectures
What you'll take away from this diploma
Tools
Concepts
Prerequisites
Python, the basics of machine learning and neural networks, probability and statistics, linear algebra and calculus, and working with PyTorch.
Why CSkilled instead of scattered resources?
A comparison between learning from scattered resources and learning from one integrated curriculum.
Scattered resources (YouTube / generic courses / bootcamps)
- Depth and curriculum: Scattered content with no clear order, so you get lost between levels.
- Practice: Few problems, often without explained solutions, and small, incomplete projects.
- Instructor and language: Uneven quality of explanation, and much of it is in English only.
- Support and cost: No guidance, and dollar-priced subscriptions or expensive bootcamps.
What do you get at CSkilled Academy?
- Depth and curriculum: 23 lectures and 38 hours across 4 structured modules that explain the idea before using any ready-made tool.
- Practice and projects: Graded problems with explained solutions, and hands-on projects that bring what you learned together into complete work.
- Instructor and language: Taught in Arabic with the English terms by Dr. Ahmed Hefny, who holds a PhD from Carnegie Mellon.
- Support and payment: A support team that answers your questions on WhatsApp, and interest-free installments for up to 3 months.
Real experiences from students who completed the journey
23 lectures · 38 hours
Choose the payment plan that suits you
No interest and no hidden fees. The large number is what you pay today.
Full payment
3-month installments
Full payment
Installments are currently available in Egyptian pounds only. To ask about dollar installments: Contact us.
Down payment at checkout, then installments every 30 days. No interest and no late fees; access pauses if an installment is not received within 3 days of its due date.
Start with the free lectures today
Reinforcement Learning Diploma: 23 lectures and 38 hours. Start free, no payment details needed.
Questions before you enroll
What are the prerequisites for this diploma?
Python and the basics of machine learning and neural networks, plus probability, linear algebra and calculus. If you are not ready yet, start with the Machine Learning Diploma.
How many hours a week do I need?
6 to 8 hours a week is enough to progress steadily. Study is self-paced and can be balanced with school or work.
Are the lectures recorded?
Yes, they're fully recorded and you watch them whenever suits you.
How long does access to the content last?
Lifetime access (Lifetime Access): watch the content anytime with no expiry, including any updates or new additions to the content for free.
Do I get a certificate?
Yes, you receive a certificate of completion issued by CSkilled and signed by Dr. Mostafa Saad.
What payment methods are available?
InstaPay, Fawry and bank cards, with interest-free installments for up to 3 months.
Why explanations in Arabic with English terminology?
So you understand ideas in your own language, while working with references and the job market in its own terminology.