Certified Specialist Programme in On-Policy Learning Strategies

Friday, 27 February 2026 21:09:29

International applicants and their qualifications are accepted

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Overview

Overview

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On-Policy Learning strategies are crucial for reinforcement learning. This Certified Specialist Programme provides in-depth knowledge.


It's designed for data scientists, machine learning engineers, and AI researchers. On-Policy Learning algorithms, like SARSA and Monte Carlo methods, are covered extensively.


The program focuses on practical application and real-world scenarios. You'll master policy evaluation and policy improvement techniques.


Gain a competitive edge in the AI field. Become a certified expert in On-Policy Learning. Enroll today and transform your career!

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On-Policy Learning Strategies are the focus of this Certified Specialist Programme, equipping you with cutting-edge expertise in reinforcement learning. Master advanced algorithms and techniques, including temporal-difference learning and Monte Carlo methods. This intensive programme provides hands-on experience with real-world applications, boosting your career prospects in AI and machine learning. Gain a competitive edge with our unique curriculum, focusing on practical implementation and industry-relevant projects. Become a sought-after specialist in On-Policy Learning Strategies and propel your career to new heights. Certification demonstrates your mastery of these critical skills.

Entry requirements

The program operates on an open enrollment basis, and there are no specific entry requirements. Individuals with a genuine interest in the subject matter are welcome to participate.

International applicants and their qualifications are accepted.

Step into a transformative journey at LSIB, where you'll become part of a vibrant community of students from over 157 nationalities.

At LSIB, we are a global family. When you join us, your qualifications are recognized and accepted, making you a valued member of our diverse, internationally connected community.

Course Content

• Foundations of On-Policy Learning: Introduction to reinforcement learning, Markov Decision Processes (MDPs), and the core concepts of on-policy learning.
• Monte Carlo Methods in On-Policy Learning: Exploring Monte Carlo prediction and control algorithms, including first-visit and every-visit MC.
• Temporal Difference Learning: Deep dive into TD(0), SARSA, and Expected SARSA, focusing on their advantages and disadvantages.
• n-step TD Methods and Control: Understanding the nuances of bootstrapping and the impact of n-step lookahead in improving learning efficiency.
• Function Approximation in On-Policy Learning: Applying linear and non-linear function approximation techniques (e.g., neural networks) to handle large state spaces.
• Eligibility Traces and Their Applications: Mastering the use of eligibility traces for efficient learning in on-policy algorithms, including ?-return methods.
• Deep Q-Networks (DQN) and Variants: Exploring the application of deep learning to on-policy control, including improvements such as Double DQN and Dueling DQN.
• Off-Policy Methods and their Relationship to On-Policy Learning: Understanding the distinctions and connections between on- and off-policy methods, including importance sampling.
• Advanced On-Policy Algorithm Design: Tackling challenging problems in on-policy learning such as exploration-exploitation trade-off and dealing with non-stationarity.

Assessment

The evaluation process is conducted through the submission of assignments, and there are no written examinations involved.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration & course fee

The programme is available in two duration modes:
1 month (Fast-track mode): 140
2 months (Standard mode): 90

40% Cheaper

Our course fee is up to 40% cheaper than most universities and colleges.

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Awarding body

 The programme is awarded by London School of International Business. This program is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. It should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/ body.

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  • Start this course anytime from anywhere.
  • 1. Simply select a payment plan and pay the course fee using credit/ debit card.
  • 2. Course starts
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Got questions? Get in touch

Chat with us: Click the live chat button

+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Certified Specialist Programme: On-Policy Learning Strategies - UK Job Market Insights

Career Role Description
Reinforcement Learning Engineer (On-Policy) Develop and deploy cutting-edge on-policy reinforcement learning algorithms for applications in robotics, finance, and gaming. High demand, excellent salary potential.
Machine Learning Scientist (On-Policy Focus) Specialise in on-policy learning methodologies; conduct research, develop models, and evaluate performance for various business problems. Requires strong theoretical understanding.
AI/ML Consultant (On-Policy Expertise) Consult with clients on the application of on-policy learning strategies, providing expertise in model selection, implementation, and evaluation. Excellent communication skills essential.

Key facts about Certified Specialist Programme in On-Policy Learning Strategies

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The Certified Specialist Programme in On-Policy Learning Strategies equips participants with advanced knowledge and practical skills in reinforcement learning, a rapidly growing field within artificial intelligence.


Upon completion of this intensive program, participants will be able to design, implement, and evaluate on-policy learning algorithms for various applications. Key learning outcomes include mastering model-free reinforcement learning methods, understanding exploration-exploitation trade-offs, and applying advanced techniques like actor-critic methods and policy gradients. This involves hands-on experience with relevant tools and libraries.


The program's duration is typically 8 weeks, delivered through a blend of online lectures, practical workshops, and individual projects. This flexible format caters to professionals seeking to upskill or transition into roles requiring expertise in on-policy learning.


The demand for specialists in reinforcement learning is soaring across diverse sectors. This Certified Specialist Programme in On-Policy Learning Strategies directly addresses this need, making graduates highly sought after in industries such as finance, robotics, gaming, and healthcare. Graduates will be equipped to contribute to cutting-edge developments in autonomous systems, personalized recommendations, and optimal control strategies. The program's curriculum is meticulously designed to stay current with the latest advancements in the field, ensuring its continued industry relevance.


The programme fosters a strong understanding of deep reinforcement learning and its applications, contributing to your expertise in machine learning and artificial intelligence overall.

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Why this course?

A Certified Specialist Programme in On-Policy Learning Strategies is increasingly significant in today's UK market. The demand for professionals skilled in reinforcement learning, a core component of on-policy learning, is booming. According to a recent survey by the UK's Institute for Digital Transformation, 75% of leading tech companies plan to increase their investment in AI and machine learning over the next two years, with on-policy methods representing a substantial portion of this growth. This trend is reflected in job postings, showing a 40% year-on-year increase in roles requiring expertise in on-policy learning algorithms like Q-learning and SARSA.

Year Job Postings (On-Policy Learning)
2022 1000
2023 1400

Who should enrol in Certified Specialist Programme in On-Policy Learning Strategies?

Ideal Audience for Certified Specialist Programme in On-Policy Learning Strategies Description UK Relevance
Data Scientists Professionals leveraging reinforcement learning and seeking advanced on-policy techniques for optimal model performance and efficient data utilization. This program enhances their expertise in model-free methods and algorithm development. The UK's growing AI sector (approximately 37,000 roles in 2021, according to Tech Nation) demands skilled data scientists proficient in cutting-edge RL strategies.
Machine Learning Engineers Engineers designing and implementing machine learning systems will benefit from mastering on-policy learning for improved algorithm selection and application, particularly in dynamic environments. The UK's expanding digital economy necessitates engineers skilled in deploying robust and efficient machine learning solutions.
AI Researchers Researchers in academia and industry striving for breakthrough advancements in reinforcement learning algorithms will find this programme crucial for expanding their understanding of on-policy methods and their applications in various fields. The UK is a global leader in AI research, with many institutions actively contributing to the field's advancement. This programme supports that advancement.