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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?

Open di way for Deep Reinforcement Learning wit dis proper course wey tailor-make for technology people dem. Enter inside important ideas like state, action, and reward, and sabi algorithms dem well well like DQN, PPO, and A3C. Get hand inside experience wit TensorFlow and PyTorch, and look smart grid system dem wey go mek energy use fine. Fain up ya skills dem for simulated environment dem using OpenAI Gym, and learn how to write down and tell people ya findings dem clear. Push ya career forward wit correct, top-level learning.

Elevify advantages

Develop skills

  • Master TensorFlow & PyTorch: Use di big frameworks dem for build DRL models dem.
  • Optimize Smart Grids: Solve energy problem dem wit DRL solutions.
  • Document & Report: Write down how ya set things up and di results dem so people go understand clear.
  • Simulate Environments: Use OpenAI Gym for create environment dem wey look like real life for train model dem.
  • Evaluate & Enhance: Check and fix DRL model performance dem so dem go do fine.

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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The course was essential to meet the expectations of my boss and the company where I work.
SilviaNurse
Very great course. Lots of rich information.
WiltonCivil Firefighter

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