What are the entry requirements for this course?

There are no formal entry requirements for this course. You need: A good command of English language, Access to a computer/laptop with internet, Basic computer skills, and Dedication to complete the course.

How long does it take to complete the course?

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.

What support will I receive during the course?

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.

How will I be assessed?

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.

What certification will I receive?

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.

When can I start the course?

We offer immediate access to our course materials through our open enrollment system. This means: The course starts as soon as you pay 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.

What career opportunities will this course open up?

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.

Is the certificate accredited?

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.

What makes this course unique compared to others?

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.

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Columbus, United States · Study online with UKSM

Advanced Certificate in Reinforcement Learning (Intermediate)

This certificate course covers advanced concepts in reinforcement learning, including deep reinforcement learning techniques and their applications in various industries

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4.5

4 reviews

Flexible schedule

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2 months to complete

at 2-3 hours a week

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Overview

Learning outcomes

Course content

Foundations Of Reinforcement Learning

Markov Decision Processes

Value Function Approximation

Deep Q‑Network Architectures

Policy Gradient Techniques

Actor‑Critic Methods

Exploration Strategies And Exploitation

Temporal‑Difference Learning

Multi‑Agent Reinforcement Learning

Hierarchical Reinforcement Learning

Model‑Based Reinforcement Learning

Inverse Reinforcement Learning

Transfer Learning In Rl

Safety And Ethics In Reinforcement Learning

Performance Evaluation And Benchmarking

Career Path

Key facts

Why this course

You've read the page. The next step is the easy part.

Most learners are inside the course materials within 60 seconds of clicking the button below. Self-paced, instant access, certificate included.

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Instant access Certificate included Self-paced Secure checkout

Why people choose us for their career

4.5

Based on 4 learner reviews · 4 countries

98%

Would recommend

100%

Verified learners

2026

Cohort active

Completed from United Kingdom

Sarah Thompson

GB · Course completed

I took this course hoping to brush up on policy gradient methods, and it delivered. The practical labs using OpenAI Gym were a highlight – I actually built a custom environment for a robotics simulation and saw the algorithm improve over episodes. The material was up‑to‑date and the instructor’s explanations were clear, though a few sections could have used more examples. Still, I left the program with solid skills I’m already using at work.

Michael Carter

US · Course completed

The Advanced Certificate in Reinforcement Learning (Intermediate) perfectly aligned with my professional goals. The modules on Deep Q‑Networks and Actor‑Critic methods gave me the confidence to implement a trading bot that now runs live on my portfolio. The lecture slides were concise yet thorough, and the hands‑on notebooks made complex concepts like reward shaping easy to grasp. Overall, the course exceeded my expectations and I feel well‑prepared to apply RL techniques in real‑world projects.

Ananya Patel

IN · Course completed

Wow! This course was exactly what I needed to move from theory to practice. The deep dive into Proximal Policy Optimization (PPO) helped me finish a capstone project where I trained an agent to optimize energy consumption in a smart‑home setup. The video lectures were engaging, and the supplementary reading list pointed me to the latest research papers. I’m thrilled with how much my confidence has grown – I can now discuss RL strategies with senior engineers.

Zanele Dlamini

ZA · Course completed

The curriculum was thoughtfully structured, beginning with a refresher on Markov Decision Processes before progressing to advanced topics like multi‑agent reinforcement learning. I particularly appreciated the case study on autonomous vehicle routing, which gave me a concrete framework to apply in my current role. While the pacing was a bit fast for newcomers, the downloadable resources and forum support compensated well. I finished the program with a clear set of tools to tackle complex RL problems.

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Reinforcement learning

Deep Q-learning

Policy gradients

Value functions

These skills will be developed throughout the course

ADVANCED

Fast Track

Complete in 1 month · 20 units

299 GBP

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Standard Mode

Complete in 2 months · 20 units

199 GBP

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No hidden fees or additional costs

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ADVANCED CERTIFICATE IN REINFORCEMENT LEARNING (INTERMEDIATE)

is awarded to

Learner Name

who has completed a programme at
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.

Shareable certificate

Add to your LinkedIn profile

Taught in English

Clear and professional communication

Advanced Certificate in Reinforcement Learning (Intermediate)

Overview

Learning outcomes

Course content

Foundations Of Reinforcement Learning

Markov Decision Processes

Value Function Approximation

Deep Q‑Network Architectures

Policy Gradient Techniques

Actor‑Critic Methods

Exploration Strategies And Exploitation

Temporal‑Difference Learning

Multi‑Agent Reinforcement Learning

Hierarchical Reinforcement Learning

Model‑Based Reinforcement Learning

Inverse Reinforcement Learning

Transfer Learning In Rl

Safety And Ethics In Reinforcement Learning

Performance Evaluation And Benchmarking

Career Path

Key facts

Why this course

People also ask

You've read the page. The next step is the easy part.

Why people choose us for their career

Skills gained

Course fee

Fast Track

Standard Mode

Have questions about this course?

Earn a certificate

Details to know

Shareable certificate

Taught in English

Recently updated!

Request Invoice

Advanced Certificate in Reinforcement Learning (Intermediate)

Overview

Learning outcomes

Course content

Foundations Of Reinforcement Learning

Markov Decision Processes

Value Function Approximation

Deep Q‑Network Architectures

Policy Gradient Techniques

Actor‑Critic Methods

Exploration Strategies And Exploitation

Temporal‑Difference Learning

Multi‑Agent Reinforcement Learning

Hierarchical Reinforcement Learning

Model‑Based Reinforcement Learning

Inverse Reinforcement Learning

Transfer Learning In Rl

Safety And Ethics In Reinforcement Learning

Performance Evaluation And Benchmarking

Career Path

Key facts

Why this course

People also ask

🚀 When can I start the course? Instantly — the moment your enrolment goes through.

⏱️ How long does it take to complete the course? Fast Track: 1 month · Standard: 2 months · learn at your own pace.

📝 What are the entry requirements? None. Just English, a computer, and the will to finish.

🎯 How will I be assessed? Online quizzes at the end of each unit. Pass mark 60%. Unlimited retakes.

🎓 What certificate do I get? Digital certificate from London School of Planning and Management — included in the course fee.

🤝 What support will I receive? Email & technical support, 24/7 materials access, clear course structure.

💻 What is the course format? Online, self-paced, all materials accessible 24/7 — no live classes required.

💼 What career opportunities does this open? Adds to your professional portfolio — applicable knowledge, not a job guarantee.

🌍 Is the certificate accredited? Industry-relevant knowledge — not a substitute for a formal degree.

✨ What makes this course unique? Focused content, self-paced, no fluff, certificate on completion.

You've read the page. The next step is the easy part.

Why people choose us for their career

Skills gained

Course fee

Fast Track

Standard Mode

Have questions about this course?

Earn a certificate

Details to know

Shareable certificate

Taught in English

Recently updated!

Request Invoice