Advanced Skill Certificate in Deep Reinforcement Learning for Data Science

Tuesday, 10 February 2026 17:22:25

International applicants and their qualifications are accepted

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Overview

Overview

Deep Reinforcement Learning is a crucial aspect of data science, enabling machines to make informed decisions in complex environments.

Designed for data scientists and practitioners, this Advanced Skill Certificate program focuses on the application of Deep Reinforcement Learning techniques to drive business value and solve real-world problems.

Through a combination of theoretical foundations and practical exercises, learners will develop the skills to design, implement, and evaluate Deep Reinforcement Learning models, from simple policy gradients to complex actor-critic methods.

By the end of the program, learners will be equipped to tackle complex problems in areas such as game playing, robotics, and recommendation systems.

Take the first step towards mastering Deep Reinforcement Learning and unlock new opportunities in data science. Explore this program further to learn more about its curriculum, prerequisites, and application areas.

Deep Reinforcement Learning is a game-changer in the field of data science, offering unparalleled benefits for professionals looking to upskill. This Advanced Skill Certificate program equips you with the knowledge and skills to design and implement intelligent agents that learn from interactions with their environment. By mastering Deep Reinforcement Learning, you'll gain a competitive edge in the job market, with career prospects in AI, robotics, and autonomous systems. Unique features of the course include hands-on projects, expert guidance, and access to a community of like-minded learners. Unlock the full potential of Deep Reinforcement Learning and take your career to the next level.

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


Deep Reinforcement Learning Fundamentals •
Policy Gradient Methods •
Actor-Critic Methods •
Q-Learning and Temporal Difference Learning •
Deep Q-Networks (DQN) and Deep Deterministic Policy Gradients (DDPG) •
Policy Gradient Methods with Deep Neural Networks •
Actor-Critic Methods with Deep Neural Networks •
Reinforcement Learning for Continuous Control Problems •
Deep Reinforcement Learning for Discrete Control Problems •
Transfer Learning and Domain Adaptation in Deep Reinforcement Learning

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

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 Advanced Skill Certificate in Deep Reinforcement Learning for Data Science

The Advanced Skill Certificate in Deep Reinforcement Learning for Data Science is a comprehensive program designed to equip learners with the skills required to apply deep reinforcement learning techniques in real-world data science applications.
This program focuses on teaching learners how to use deep reinforcement learning algorithms to make informed decisions in complex environments, leveraging the power of data science and machine learning.
Upon completion of the program, learners will have gained a deep understanding of the key concepts, techniques, and tools used in deep reinforcement learning, including Q-learning, policy gradients, and actor-critic methods.
The program also covers the application of deep reinforcement learning in various domains, such as robotics, game playing, and finance, highlighting its industry relevance and potential for impact.
The duration of the program is typically 12 weeks, with learners expected to dedicate around 10-15 hours per week to complete the coursework and assignments.
Throughout the program, learners will work on projects and case studies that demonstrate their ability to apply deep reinforcement learning techniques to real-world problems, building a portfolio of work that showcases their skills and expertise.
The program is designed to be highly interactive, with learners receiving support from experienced instructors and peers, as well as access to a range of resources and tools, including software, libraries, and datasets.
Upon completion of the program, learners will receive an Advanced Skill Certificate in Deep Reinforcement Learning for Data Science, recognized by industry leaders and employers as a mark of excellence in this field.
The program is highly relevant to the data science industry, with deep reinforcement learning being increasingly used in applications such as recommendation systems, autonomous vehicles, and personalized medicine.
Learners who complete the program will be well-positioned to pursue careers in data science, machine learning engineering, and related fields, or to start their own businesses and projects that leverage the power of deep reinforcement learning.

Why this course?

Deep Reinforcement Learning has become a crucial aspect of Data Science in today's market, with the UK being no exception. According to a report by the Royal Society of Arts, the UK's AI market is expected to reach £1.4 billion by 2025, with a significant portion of this growth attributed to Deep Reinforcement Learning.
Year Growth Rate
2020 10%
2021 12%
2022 15%
2023 18%

Who should enrol in Advanced Skill Certificate in Deep Reinforcement Learning for Data Science?

Deep Reinforcement Learning is an ideal skill for Data Scientists in the UK, where the AI market is projected to reach £4.1 billion by 2025, growing at a CAGR of 22%.
Professionals with a background in Machine Learning and Computer Science can leverage Deep Reinforcement Learning to drive business growth, with 71% of UK companies using AI to improve customer experience.
Those interested in developing autonomous systems can benefit from this skill, with the UK's automotive industry alone expected to invest £1.4 billion in autonomous vehicle technology by 2025.
Data Scientists looking to expand their skill set can enhance their career prospects, with 85% of UK employers considering AI and machine learning skills essential for future roles.