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Deep Reinforcement Learning Course

Deep Reinforcement Learning Course
4 to 360 hours flexible workload
certificate recognised by MEC

What will I learn?

Unlock the potential of Deep Reinforcement Learning with our comprehensive course tailored for technology professionals. Delve into key concepts such as state, action, and reward, and master algorithms such as DQN, PPO, and A3C. Gain hands-on experience with TensorFlow and PyTorch, and explore smart grid systems to optimise energy consumption. Enhance your skills in simulated environments using OpenAI Gym, and learn to document and report your findings effectively. Elevate your career with practical, high-quality learning.

Elevify advantages

Develop skills

  • Master TensorFlow & PyTorch: Implement DRL models with leading frameworks.
  • Optimise Smart Grids: Tackle energy challenges with DRL solutions.
  • Document & Report: Detail setups and results for clear communication.
  • Simulate Environments: Use OpenAI Gym to create realistic training scenarios.
  • Evaluate & Enhance: Assess and improve DRL model performance effectively.

Suggested summary

Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students say

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EmersonPolice Investigator
The course was essential to meet the expectations of my boss and the company I work for.
SilviaNurse
Great course. Lots of valuable information.
WiltonCivil Firefighter

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