Postgraduate Certificate in Reinforcement Learning for Real-World Applications

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Overview

Learning outcomes

Course content

Foundations of Reinforcement Learning

Advanced Algorithms in Reinforcement Learning

Real-World Applications and Case Studies

Ethics and Safety in AI Systems

Practical Implementation of RL Solutions

Introduction to Reinforcement Learning

Foundations of Machine Learning

Deep Learning for Reinforcement Learning

Multi-Agent Systems in RL

Policy Gradient Methods

Model-Based Reinforcement Learning

Applications of RL in Robotics

Reinforcement Learning for Game AI

Ethics and Fairness in AI

Real-World Deployment of RL Solutions

Foundations of Reinforcement Learning

Advanced Reinforcement Learning Algorithms

Deep Reinforcement Learning

Multi-agent Reinforcement Learning

Reinforcement Learning for Robotics

Reinforcement Learning in Natural Language Processing

Reinforcement Learning in Finance

Reinforcement Learning in Healthcare

Ethical Considerations in Reinforcement Learning

Reinforcement Learning for Autonomous Systems.

Duration

The programme is available in two duration modes:
Fast track - 1 month
Standard mode - 2 months

Course fee

The fee for the programme is as follows:
Fast track - 1 month: GBP £140
Standard mode - 2 months: GBP £90

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Career Path

Key facts

Why this course

Frequently asked questions

The course equips learners with practical reinforcement learning skills for real-world applications, blending theoretical knowledge with hands-on experience for effective implementation.

Showcase your achievement with a professional certificate upon successful course completion.

Postgraduate Certificate in Reinforcement Learning for Real-World Applications

Overview

Learning outcomes

Course content

Foundations of Reinforcement Learning

Advanced Algorithms in Reinforcement Learning

Real-World Applications and Case Studies

Ethics and Safety in AI Systems

Practical Implementation of RL Solutions

Introduction to Reinforcement Learning

Foundations of Machine Learning

Deep Learning for Reinforcement Learning

Multi-Agent Systems in RL

Policy Gradient Methods

Model-Based Reinforcement Learning

Applications of RL in Robotics

Reinforcement Learning for Game AI

Ethics and Fairness in AI

Real-World Deployment of RL Solutions

Foundations of Reinforcement Learning

Advanced Reinforcement Learning Algorithms

Deep Reinforcement Learning

Multi-agent Reinforcement Learning

Reinforcement Learning for Robotics

Reinforcement Learning in Natural Language Processing

Reinforcement Learning in Finance

Reinforcement Learning in Healthcare

Ethical Considerations in Reinforcement Learning

Reinforcement Learning for Autonomous Systems.

Duration

Course fee

Career Path

Key facts

Why this course

Frequently asked questions

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Earn a Certificate

Skills gained