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Reinforcement Learning for Beginners: From Basics to Real-World AI

Discover the magic of Reinforcement Learning, where AI learns by doing! No heavy math, just simple explanations, fun examples, and real-world applications.

Weekly LIVE Sessions

Video Classes
English

0

100 Students
Certificate Course

Course Overview

Reinforcement Learning is how machines learn by trial and error, just like humans. In this course, you’ll explore the basics of agents, environments, rewards, and policies through simple explanations and real-world examples.

From self-driving cars to game-playing AI, you’ll see how reinforcement learning powers some of today’s most exciting technologies. No heavy math required, just clear concepts, fun demos, and practical insights.

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FAQ

Course curriculum

Requirement

  • No prior knowledge of reinforcement learning required

  • Curiosity about how AI learns and makes decisions

  • A laptop or PC with internet access

Outcomes

  • Understand the difference between supervised, unsupervised, and reinforcement learning

  • Explain advanced topics like Actor-Critic methods, multi-agent RL, and inverse RL at a conceptual level

  • Discuss ethical issues such as reward hacking, bias, and AI safety

Instructor

...
Asfasfasf

49.8

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  • ... 35 Courses
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₦ 17,000.00

₦ 100,000.00

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  • students

    Students

     0
  • language

    language

     English
  • duration

    Duration

     12h 45m

  • Level

     beginner
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