Master RL and RLHF in depth: MDPs, DQN, PPO, reward models, DPO, GRPO, RLVR, reward hacking and safety — hands-on with Gymnasium, SB3 and TRL.
The course’s skills. The same ones appear on your Certificate of Completion, so you can show what you covered.
A premium, advanced and hands-on course on reinforcement learning and RLHF, fully updated for 2026 and expanded to university depth. You will start from the mathematical foundations — Markov decision processes, rewards, policies, value functions, the Bellman equations and dynamic programming — and work through the exploration-exploitation trade-off, Monte Carlo and temporal-difference learning, Q-learning, function approximation and the deadly triad, Deep Q-Networks and their modern refinements (Double DQN, dueling architectures, prioritized replay). From there you will master modern policy optimization: REINFORCE, actor-critic (A2C/A3C), continuous control with DDPG, TD3 and Soft Actor-Critic, and Proximal Policy Optimization (PPO) in full detail, with real code on Gymnasium and Stable-Baselines3. The second half of the course turns to the techniques that made modern assistants possible: preference data collection and its legal obligations, reward models trained on human preferences, PPO-based RLHF as used to align systems such as ChatGPT and Claude, and the newer methods — Direct Preference Optimization (DPO), GRPO, RLAIF, Constitutional AI, and reinforcement learning with verifiable rewards (RLVR), the engine behind 2026 reasoning models. You will learn to spot and prevent reward hacking, reason about alignment and safety, evaluate aligned models honestly, and build real reward-model and DPO pipelines with Hugging Face TRL. Every concept is paired with correct, runnable Python and PyTorch code, worked numeric examples and exercises, and the course keeps a firm focus on the legal, licensing and ethical obligations around preference data and alignment. Includes a comprehensive final assessment.
For developers, engineers and technical professionals who build or integrate AI solutions. It belongs to Deep Learning & AI Models, on the IT track.
Advanced level: assumes hands-on experience with AI in the course’s field.
10 modules · 30 lessons · about 25 hours · 350 quiz questions
Modules and lessons in order, plus the link to the preview of lesson 1 — so you can decide at your own pace.
You read the lesson, ask the AI Professor right on the page and check what you remember.
What Reinforcement Learning Is and Why It Matters in 2026
Reinforcement learning (RL) is the branch of machine learning concerned with learning to act. Instead of learning from a fixed dataset of labelled examples, an RL agent learns by interacting with an environment: it takes actions, observes the consequences, and gradually improves its behaviour to maximise a numerical reward.
Written lessons, with examples and exercises. Your progress is saved automatically, so you can pick up where you left off.
Select a passage and it explains it, gives you an example or tells you why it matters. You can type or talk to it, in English.
Every lesson has its own quiz, with explanations for the answers: 350 questions across the course. The professor also summarizes the lesson and prepares review flashcards.
Once you complete the lessons and reach the minimum quiz score, you issue it from your account, with a unique number, publicly verifiable.
The AI Professor is included in your subscription, per-course access included, with a monthly fair-use limit. It is an AI system, not a human teacher, and its answers may contain errors; details in the Terms. See how the AI Professor works.
The Certificate of Completion for “Reinforcement Learning and RLHF: Training and Aligning AI Models”: a private attestation with a unique number and a QR code. A recruiter confirms it is authentic on the public verification page, with no account and no cost.
Public verification page, QR code and cryptographic fingerprint, with no account for the person checking.
Add it to your CV and LinkedIn profile; a recruiter confirms authenticity with one click.
The course, the tier you earned (Pass, Merit or Distinction), the serial number and the issue date, plus the percentage of lessons completed.
A private attestation of course completion. It is NOT a diploma or a state-recognised qualification under Romanian Laws 198/2023, 199/2023 or Government Ordinance 129/2000; employers may take it into account at their own discretion. Certification policy.
A subscription by number of courses: 1, 3, 5, 10, 15 or 25 courses a month, or the full catalog. You pick them and can change them at every renewal; your progress and certificates stay. Billed monthly or yearly (12 months for the price of 10), in EUR. You can stop the renewal anytime from your account, and access starts right after payment. Prices are totals, with VAT included at the rate of your country.
This course goes first on your list; you pick the others in your account and can change them at every renewal.
€99 a course
€99a month €990a year, 12 months of access
under €67 a course
€199a month €1,990a year, 12 months of access
under €52 a course
€259a month €2,590a year, 12 months of access
under €32 a course
€319a month €3,190a year, 12 months of access
under €24 a course
€359a month €3,590a year, 12 months of access
under €16 a course
€399a month €3,990a year, 12 months of access
under €10 a course, across all 50
€499a month €4,990a year, 12 months of access
Total prices, VAT included. Move up anytime and pay only the difference for the days left; move down at renewal. Renews automatically, you stop it anytime from your account; your progress and certificates stay. Digital content with immediate access: see the withdrawal terms.
About the course, the price, the AI Professor and the certificate.
A premium, advanced and hands-on course on reinforcement learning and RLHF, fully updated for 2026 and expanded to university depth. You will start from the mathematical foundations — Markov decision processes, rewards, policies, value functions, the Bellman equations and dynamic programming — and work through the exploration-exploitation trade-off, Monte Carlo and temporal-difference learning, Q-learning, function approximation and the deadly triad, Deep Q-Networks and their modern refinements (Double DQN, dueling architectures, prioritized replay). From there you will master modern policy optimization: REINFORCE, actor-critic (A2C/A3C), continuous control with DDPG, TD3 and Soft Actor-Critic, and Proximal Policy Optimization (PPO) in full detail, with real code on Gymnasium and Stable-Baselines3. The second half of the course turns to the techniques that made modern assistants possible: preference data collection and its legal obligations, reward models trained on human preferences, PPO-based RLHF as used to align systems such as ChatGPT and Claude, and the newer methods — Direct Preference Optimization (DPO), GRPO, RLAIF, Constitutional AI, and reinforcement learning with verifiable rewards (RLVR), the engine behind 2026 reasoning models. You will learn to spot and prevent reward hacking, reason about alignment and safety, evaluate aligned models honestly, and build real reward-model and DPO pipelines with Hugging Face TRL. Every concept is paired with correct, runnable Python and PyTorch code, worked numeric examples and exercises, and the course keeps a firm focus on the legal, licensing and ethical obligations around preference data and alignment. Includes a comprehensive final assessment.
The course has 10 modules and 30 lessons, with 350 quiz questions. The full curriculum, module by module, is shown on the course page.
Yes. The course is Advanced level and assumes hands-on experience with AI in its field.
The estimated duration is about 25 hours, across 30 lessons. You learn at your own pace, and your progress is saved automatically at every lesson, so you can pick up where you left off.
This course alone: the 1 course plan, €99 per month. The course fits into every plan of the subscription, next to other courses you choose: for example 3 courses for €199, 10 courses for €319 (recommended) or the full catalog for €499 per month.
You pick your courses after paying and can change them at every renewal; starting from here, this one is already picked. Plans are billed in EUR, monthly or yearly (pay for 10 months, get 12). Every price is a total, with VAT included at the rate of your country. See all plans.
Yes. You can read a free preview of lesson 1, “What Reinforcement Learning Is and Why It Matters in 2026”, without an account. The preview shows you how the lesson is written; the rest of the lesson and the other lessons open after payment.
The AI Professor is built into every lesson and starts from the lesson you have open: it explains the passages you select, gives you examples, summarizes the lesson, tests you with a quiz and prepares review flashcards. You can type or talk to it, in English.
It is included in every plan of your subscription, with a fair-use limit. It is an AI system, not a human teacher, and its answers may contain errors; details in the Terms.
When you meet the completion thresholds shown on the platform (lessons completed and the minimum quiz score), you can issue your Certificate of Completion for “Reinforcement Learning and RLHF: Training and Aligning AI Models” from your account, with a unique number, publicly verifiable on the site.
It is a private attestation of course completion, issued by GALIAN SOFTWARE DEVELOPMENT SRL. It is NOT a diploma or a state-recognised qualification under Romanian Laws 198/2023, 199/2023 or Government Ordinance 129/2000; employers may take it into account at their own discretion. Details in the Certification policy.
Yes. The subscription renews automatically at the end of each monthly billing period. You can see the next renewal date in your account at any time.
You can stop the renewal at any time, from your account or by email, with no other formality. Access stays active until the end of the period already paid for, and no pro-rata refund is made for a period already started, except in the cases provided by law. Your progress stays saved in your account. Details in the Terms & Conditions, section 5.5.
Yes. With the team library, the company admin picks 3, 5, 10, 15 or 25 courses a month, or the full catalog, for the whole team, from €49 per member per month, excl. VAT, for 5 members or more. A dashboard shows each member’s progress and manages seats centrally. Price it for your team.
You can pick them together with this one in a 3, 5 or 10-course subscription (3 courses for €199 a month), and the full catalog includes them all. A single course is €99 a month.
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“Reinforcement Learning and RLHF: Training and Aligning AI Models”: 30 lessons and about 25 hours of content, with your progress saved at every lesson.
1-course subscription
€99/month
VAT included · stop the renewal anytime from your account
Start the course · €99/month Or 3 courses for €199/month, this one includedChatGPT, OpenAI, Claude, Anthropic, Gemini, Google, Microsoft 365 Copilot, Cursor, Midjourney and the other product and company names mentioned are trademarks or trade names of their respective owners. Cursuri-AI.ro is an independent training provider and is not affiliated with, sponsored by or endorsed by any of them.