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Deep Reinforcement Learning Course

Deep Reinforcement Learning Course
from 4 to 360h flexible workload
certificate recognized by MEC

What will I learn?

Unlock di power of Deep Reinforcement Learning wit our correct course wey dem tailor make for tech professionals like you. Enter inside key concepts like state, action, and reward, and sabi algorithms like DQN, PPO, and A3C well well. Get correct handwork experience wit TensorFlow and PyTorch, and explore smart grid systems to make energy consumption dey kampe. Sharpen your skills for simulated environments using OpenAI Gym, and learn how to write am down and report your findings make e clear. Carry your career go up wit practical, high-quality learning.

Elevify advantages

Develop skills

  • Master TensorFlow & PyTorch: Implement DRL models wit leading frameworks.
  • Optimize Smart Grids: Tackle energy challenges wit 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 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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Very great course. Lots of rich information.
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