Undergraduate Certificate in Reinforcement Learning

Wednesday, 10 September 2025 11:05:52

International applicants and their qualifications are accepted

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Overview

Overview

Reinforcement Learning is a subfield of machine learning that focuses on training agents to make decisions in complex environments.

Our Undergraduate Certificate in Reinforcement Learning is designed for students interested in developing intelligent systems that can learn from trial and error.

Through this program, you'll learn the fundamental concepts of reinforcement learning, including Markov decision processes, Q-learning, and deep reinforcement learning.

You'll also explore applications of reinforcement learning in areas such as robotics, game playing, and autonomous vehicles.

Our program is ideal for students with a strong foundation in mathematics and computer science.

By the end of the program, you'll be equipped with the skills to design and implement reinforcement learning algorithms.

Take the first step towards a career in AI and explore our Undergraduate Certificate in Reinforcement Learning today!

Reinforcement Learning is a revolutionary field that enables machines to learn from interactions with their environment, making it an ideal skill for the future of artificial intelligence. This Undergraduate Certificate program will equip you with the knowledge and skills to design and implement intelligent agents that can optimize complex decision-making processes. By mastering Reinforcement Learning, you'll gain a competitive edge in the job market, with career prospects in fields like robotics, game development, and autonomous systems. Unique features of the course include hands-on experience with popular algorithms and tools, as well as collaboration with industry experts.

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

• Reinforcement Learning Fundamentals
• Introduction to Markov Decision Processes
• Q-Learning and Temporal Difference Learning
• Deep Reinforcement Learning
• Policy Gradient Methods
• Actor-Critic Methods
• Exploration-Exploitation Trade-offs
• Partially Observable Markov Decision Processes
• Multi-Agent Reinforcement Learning
• Transfer Learning and Domain Adaptation

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

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+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Key facts about Undergraduate Certificate in Reinforcement Learning

The Undergraduate Certificate in Reinforcement Learning is a specialized program designed to equip students with the fundamental knowledge and skills required to succeed in the field of artificial intelligence and machine learning.
This program focuses on teaching students how to design and implement reinforcement learning algorithms, which enable machines to learn from their environment and make decisions that maximize a reward signal.
Through a combination of theoretical foundations and practical applications, students will gain a deep understanding of reinforcement learning concepts, including Markov decision processes, value functions, and policy gradients.
Upon completion of the program, students will be able to apply reinforcement learning techniques to real-world problems in areas such as robotics, game playing, and autonomous vehicles.
The Undergraduate Certificate in Reinforcement Learning is typically completed within one year and consists of a series of core and elective courses.
The program is designed to be industry-relevant, with a focus on preparing students for careers in AI and machine learning.
Many of the skills learned in this program, such as programming in Python and experience with popular reinforcement learning libraries like TensorFlow and PyTorch, are highly sought after by top tech companies.
Graduates of the Undergraduate Certificate in Reinforcement Learning can expect to find employment opportunities in a variety of industries, including tech, finance, and healthcare.
Overall, the Undergraduate Certificate in Reinforcement Learning provides students with a unique combination of technical skills and industry relevance, making it an attractive option for those looking to launch a career in AI and machine learning.

Why this course?

Reinforcement Learning has become a crucial skill in today's market, with the UK's AI industry expected to reach £4.1 billion by 2025, growing at a CAGR of 22% (Source: Digital Catapult). To stay competitive, professionals need to acquire expertise in this field. An Undergraduate Certificate in Reinforcement Learning can provide learners with the necessary knowledge and skills to succeed in the industry.
Year Employment Rate
2020 12.1%
2021 15.6%
2022 18.2%
2023 20.5%

Who should enrol in Undergraduate Certificate in Reinforcement Learning ?

Reinforcement Learning Ideal Audience
Individuals with a strong foundation in mathematics and computer science, particularly those with a degree in Computer Science, Mathematics, or Statistics, are well-suited for this course. Prospective learners should have a solid understanding of programming skills in Python, as well as experience with machine learning algorithms and data structures.
In the UK, the average age of students pursuing a postgraduate degree in Computer Science is 27 years old, with 60% of students holding a first-class or upper-second-class honours degree. Those interested in applying for this course should be aware that the UK's National Health Service (NHS) has reported a significant increase in the use of AI and machine learning in healthcare, with 75% of NHS trusts using AI-powered systems to improve patient outcomes.
Career prospects for those who complete this course are excellent, with many graduates going on to work in top tech companies, such as Google, Amazon, and Microsoft, or pursuing careers in academia and research. By the end of this course, learners can expect to gain a deep understanding of reinforcement learning algorithms and their applications, as well as the ability to design and implement complex AI systems.