Graduate Certificate in Reinforcement Learning in AI

Wednesday, 11 February 2026 13:06:32

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.

Graduate Certificate in Reinforcement Learning in AI is designed for professionals and researchers who want to learn the fundamentals of RL and its applications.

Through this program, you'll learn how to design and implement RL algorithms, model complex decision-making processes, and analyze the performance of RL systems.

Some key topics covered include Markov Decision Processes, Q-learning, Deep Q-Networks, and Policy Gradient Methods.

By the end of the program, you'll be able to apply RL techniques to real-world problems in areas like robotics, game playing, and autonomous vehicles.

Take the first step towards mastering Reinforcement Learning and explore the possibilities of this exciting field.

Reinforcement Learning is a revolutionary field in Artificial Intelligence that enables machines to learn from interactions with their environment. Our Graduate Certificate in Reinforcement Learning equips you with the skills to design intelligent agents that can make decisions in complex, dynamic systems. By mastering Reinforcement Learning, you'll gain a competitive edge in the job market, with career prospects in areas like robotics, game development, and autonomous vehicles. This course offers Reinforcement Learning fundamentals, deep learning, and programming in Python, with a focus on hands-on projects and real-world applications.

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
• Markov Decision Processes
• Q-Learning and Deep Q-Networks
• Policy Gradient Methods
• Actor-Critic Methods
• Exploration-Exploitation Tradeoff
• Partially Observable Markov Decision Processes
• Transfer Learning in Reinforcement Learning
• Multi-Agent Reinforcement Learning
• Reinforcement Learning for Continuous Control

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 Graduate Certificate in Reinforcement Learning in AI

The Graduate Certificate in Reinforcement Learning in AI is a specialized program designed to equip students with the knowledge and skills necessary to succeed in the field of artificial intelligence, particularly in reinforcement learning.
This program focuses on teaching students how to design and implement reinforcement learning algorithms, as well as how to apply them to real-world problems.
Upon completion of the program, students will have gained a deep understanding of the concepts and techniques involved in reinforcement learning, including Markov decision processes, Q-learning, and deep reinforcement learning.
The learning outcomes of the Graduate Certificate in Reinforcement Learning in AI include the ability to analyze complex problems, design and implement effective reinforcement learning algorithms, and evaluate the performance of these algorithms.
The duration of the program is typically one year, with students completing a set of core courses and electives over the course of the academic year.
The Graduate Certificate in Reinforcement Learning in AI is highly relevant to the industry, with many companies seeking professionals who can apply reinforcement learning techniques to improve their products and services.
Some of the key industries that value the skills and knowledge gained through this program include finance, healthcare, and autonomous vehicles.
Graduates of the Graduate Certificate in Reinforcement Learning in AI can expect to find employment opportunities in a variety of roles, including reinforcement learning engineer, AI researcher, and data scientist.
Overall, the Graduate Certificate in Reinforcement Learning in AI is an excellent choice for individuals who want to pursue a career in artificial intelligence and reinforcement learning.

Why this course?

Reinforcement Learning is a crucial aspect of Artificial Intelligence (AI) that has gained significant attention in recent years. According to a survey conducted by the University of Cambridge, 71% of AI professionals believe that reinforcement learning will be a key technology in the next five years (Source: University of Cambridge, 2020). This growing demand for reinforcement learning experts has led to an increase in the number of graduate certificate programs in this field.
Year Number of Graduates
2018 250
2019 350
2020 450
2021 550

Who should enrol in Graduate Certificate in Reinforcement Learning in AI ?

Reinforcement Learning Ideal Audience
Professionals with a background in computer science, mathematics, or engineering Individuals with a strong foundation in programming, data analysis, and problem-solving skills are well-suited for this course.
Data scientists and analysts Those working in data-intensive fields, such as finance, healthcare, or e-commerce, can benefit from the skills acquired through this certificate.
Researchers and academics Researchers and academics in AI, machine learning, and related fields can expand their knowledge and stay up-to-date with the latest advancements in reinforcement learning.
UK-based professionals According to a report by the UK's Office for National Statistics, there are over 240,000 data scientists and analysts employed in the UK, with a growing demand for AI and machine learning professionals.