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Deep Learning on Azure with Python: Reinforcement Learning

Discover reinforcement learning in this course covering how to frame reinforcement learning problems, algorithms, and more.

Deep Learning on Azure with Python: Reinforcement Learning
  • Duration6 weeks
  • Weekly study5 hours
  • 100% onlineLearn at your own paceHow it works
  • Included in an ExpertTrackCourse 5 of 5
  • Get full ExpertTrack access$39/monthFind out more

This machine learning course focuses on reinforcement learning and how it uses artificial intelligence to find the best possible solution to complex problems involving multiple decisions.

Use reinforcement learning for complex problem solving

Reinforcement learning acknowledges the multifaceted, multilevel nature of the problems we use machine learning to solve. These challenges might be viewed as a sequence, with each resolved challenge creating or limiting possibilities to solve the next. Framing these challenges as relational learning problems allows us to explore every potential path through a sequence of decisions. This allows artificial intelligence to determine the most effective or efficient solution to complex problems.

Reinforcement learning can be applied to neural networks used in deep learning, helping us to build more refined algorithms.

Explore dynamic programming algorithms and more

This course will give you an introduction to reinforcement learning using Python, in Microsoft Azure. You’ll learn how to frame relational learning problems. You’ll get an introduction to common relational learning algorithms, including dynamic programming algorithms and temporal difference learning. And you’ll discover Project Malmo – a platform for AI experimentation built in Minecraft.

Frame reinforcement learning problems in Azure with Python

By the end of this course, you will have developed a clear understanding of reinforcement learning techniques, and the relevant formal notation. You’ll then be able to apply these in Microsoft Azure Cognitive Services, using Python programming.

What topics will you cover?

  • Bandits
  • Approximate Solution Methods
  • Policy Gradient
  • Actor-Critic RL that Works.

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  • Learn the latest in your chosen industry or subject.
  • Complete each course and pass assessments.
  • Receive certificates validated by the educating organisation.
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What will you achieve?

By the end of the course, you‘ll be able to...

  • Debated Reinforcement Learning Problem
  • Applied Markov Decision Process
  • Applied Dynamic Programming
  • Applied Temporal Difference Learning

Who is the course for?

This machine learning and artificial intelligence course is designed for those who would like to learn more about deep learning. Basic knowledge of python programming would be advantageous, as would solid maths and computer science skills.

Who developed the course?

CloudSwyft Global Systems, Inc.

CloudSwyft has partnered with the top global technology companies to deliver cutting edge digital skills learning across the modern workplace.

About this ExpertTrack

Discover deep learning in Azure in this ExpertTrack covering AI fundamentals, machine learning, and deep learning with Python.

Learning on FutureLearn

Your learning, your rules

  • Courses are split into weeks, activities, and steps, but you can complete them as quickly or slowly as you like
  • Learn through a mix of bite-sized videos, long- and short-form articles, audio, and practical activities
  • Stay motivated by using the Progress page to keep track of your step completion and assessment scores

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  • Experience the power of social learning, and get inspired by an international network of learners
  • Share ideas with your peers and course educators on every step of the course
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Map your progress

  • As you work through the course, use notifications and the Progress page to guide your learning
  • Whenever you’re ready, mark each step as complete, you’re in control
  • Complete 90% of course steps and all of the assessments to earn your certificate

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After your free trial you can:

  • Pay $39 per month to keep learning online
  • Have complete control over your subscription; you can cancel any time
  • Work at your own pace and set your own deadlines at every stage
  • Only pay while you’re learning; the subscription will cancel automatically when you finish
  • Complete online assessments to test your knowledge and prove your skills
  • Earn digital course certificates and a final award that you can share online, with potential employers, and your professional network
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