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Columbus, United States
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Study online with UKSM
Master Certificate in Reinforcement Learning
Four certificates in this programme
- 1 Advanced Certificate in Reinforcement Learning (Foundation) Foundation certificate
- 2 Advanced Certificate in Reinforcement Learning (Intermediate) Intermediate certificate
- 3 Advanced Certificate in Reinforcement Learning (Higher) Higher certificate
- 4 Master Certificate in Reinforcement Learning Awarded on completing all three stages
This certificate course covers advanced concepts in reinforcement learning, including deep reinforcement learning techniques and their applications in various industries
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Flexible schedule
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2 months to complete
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Overview
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Learning outcomes
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Programme structure
1 Stage 1 · Foundation Advanced Certificate in Reinforcement Learning (Foundation) 10 units
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2 Stage 2 · Intermediate Advanced Certificate in Reinforcement Learning (Intermediate) 15 units
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3 Stage 3 · Higher Advanced Certificate in Reinforcement Learning (Higher) 20 units
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4 certificates in one programme.
Earn a certificate for each completed stage — and on finishing all three,
receive the overarching Master Certificate, exclusive to this programme.
1
Foundations Of Reinforcement Learning
2
Markov Decision Processes
3
Dynamic Programming For Rl
4
Monte Carlo Methods
5
Temporal Difference Learning
6
Policy Gradient Methods
7
Actor-Critic Architectures
8
Deep Reinforcement Learning
9
Exploration Strategies
10
Function Approximation In Rl
11
Multi-Agent Reinforcement Learning
12
Hierarchical Reinforcement Learning
13
Inverse Reinforcement Learning
14
Imitation Learning
15
Model-Based Reinforcement Learning
16
Model-Free Reinforcement Learning
17
Reward Shaping Techniques
18
Safety And Ethics In Rl
19
Curriculum Learning For Rl
20
Transfer Learning In Rl
21
Meta-Reinforcement Learning
22
Offline Reinforcement Learning
23
Rl In Robotics
24
Rl For Autonomous Vehicles
25
Rl For Game Ai
26
Rl For Finance Applications
27
Rl For Healthcare
28
Continuous Control Methods
29
Stochastic Optimization In Rl
30
Learning From Demonstrations
31
Distributed Reinforcement Learning
32
Scalable Rl Algorithms
33
Evaluation Metrics For Rl
34
Benchmark Environments For Rl
35
Visualization And Debugging In Rl
36
Rl System Design And Deployment
37
Reinforcement Learning Research Methods
38
Advanced Topics In Rl Theory
39
Computational Complexity In Rl
40
Adaptive Exploration Techniques
41
Curriculum Design For Rl Training
42
Rl With Partial Observability
43
Trust Region Methods In Rl
44
Stochastic Policies And Entropy Regularization
45
Emerging Trends In Reinforcement Learning
Career Path
Key facts
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Why this course
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Everything you need to know before you start
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Included in fee
We offer immediate access to our course materials through our open enrollment system. This means:
- The course starts as soon as you pay the course fee, instantly
- No waiting periods or fixed start dates
- Instant access to all course materials upon payment
- Flexibility to begin at your convenience
This self-paced approach allows you to begin your professional development journey immediately, fitting your learning around your existing commitments.
We offer two flexible learning paths to suit your schedule:
- Fast Track: Complete in 1 month with 3-4 hours of study per week
- Standard Mode: Complete in 2 months with 2-3 hours of study per week
You can progress at your own pace and access the materials 24/7.
There are no formal entry requirements for this course. You just need:
- A good command of English language
- Access to a computer/laptop with internet
- Basic computer skills
- Dedication to complete the course
Ready when you are
Most learners finish reading the FAQs and enrol in the same minute.
Self-paced · Certificate included · 24/7 access · 60-second start.
Assessment is done through:
- Multiple-choice questions at the end of each unit
- You need to score at least 60% to pass each unit
- You can retake quizzes if needed
- All assessments are online
Upon successful completion, you will receive:
- A digital certificate from London School of Planning and Management
- Option to request a physical certificate
- Transcript of completed units
- Certification is included in the course fee
During your course, you will have access to:
- 24/7 access to course materials and resources
- Technical support for platform-related issues
- Email support for course-related questions
- Clear course structure and learning materials
Please note that this is a self-paced course, and while we provide the learning materials and basic support, there is no regular feedback on assignments or projects.
Our course is designed as a comprehensive self-study program that offers:
- Structured learning materials accessible 24/7
- Comprehensive course content for self-paced study
- Flexible learning schedule to fit your lifestyle
- Access to all necessary resources and materials
This self-directed learning approach allows you to progress at your own pace, making it ideal for busy professionals who need flexibility in their learning schedule. While there are no live classes or practical sessions, the course materials are designed to provide a thorough understanding of the subject matter through self-study.
This course provides knowledge and understanding in the subject area, which can be valuable for:
- Enhancing your understanding of the field
- Adding to your professional development portfolio
- Demonstrating your commitment to learning
- Building foundational knowledge in the subject
- Supporting your existing career path
Please note that while this course provides valuable knowledge, it does not guarantee specific career outcomes or job placements. The value of the course will depend on how you apply the knowledge gained in your professional context.
This program is designed to provide valuable insight and information that can be directly applied to your job role. However, it is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. Additionally, it should be noted that this course is not accredited by a accredited awarding body or regulated by an authorised institution/body.
What you will gain from this course:
- Knowledge and understanding of the subject matter
- A certificate of completion to showcase your commitment to learning
- Self-paced learning experience
- Access to comprehensive course materials
- Understanding of key concepts and principles in the field
While this course provides valuable learning opportunities, it should be viewed as complementary to, rather than a replacement for, formal academic qualifications.
Our course offers a focused learning experience with:
- Comprehensive course materials covering essential topics
- Flexible learning schedule to fit your needs
- Self-paced learning environment
- Access to course content for the duration of your enrollment
- Certificate of completion upon finishing the course
Open enrolment · Start today
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Skills gained
Reinforcement learning
Deep Q-learning
Policy gradients
Value functions
These skills will be developed throughout the course
Course fee
MASTER
Full Programme
Complete in 4 months · 45 units · 3 courses
£499
GBP
- Foundation, Intermediate & Higher courses included
- A certificate for every completed stage
- Master Certificate awarded on completing all three — exclusive to this programme
- One payment — 4 months of full programme access
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Four certificates in this programme
Select a certificate below to preview each credential awarded through this programme.
ADVANCED CERTIFICATE IN REINFORCEMENT LEARNING (FOUNDATION)
is awarded to
Learner Name
who has completed a programme at
London School of Planning and Management
London School of Planning and Management
Awarded on
26 Jul 2026
Blockchain Id: s-1-a-2-m-3-p-4-l-5-e
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Details to know
Shareable certificate
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Taught in English
Clear and professional communication
Recently updated!
May 2026