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Deep Reinforcement Learning Course
Unlock the power of Deep Reinforcement Learning with our detailed course, designed specifically for tech professionals. Delve into essential concepts like state, action, and reward, and become proficient in algorithms such as DQN, PPO, and A3C. Get practical, hands-on experience with TensorFlow and PyTorch, and investigate smart grid systems for optimising energy consumption. Develop your abilities in simulated environments using OpenAI Gym, and learn to document and report your findings in a clear and concise manner. Level up your career with practical, high-quality learning.
- Become proficient in TensorFlow & PyTorch: Implement DRL models using industry-standard frameworks.
- Optimise Smart Grids: Address energy challenges with DRL-based solutions.
- Document & Report: Clearly detail experimental setups and results for effective communication.
- Simulate Environments: Utilise OpenAI Gym to develop realistic training scenarios.
- Evaluate & Enhance: Assess and improve DRL model performance effectively.

flexible workload of 4 to 360h
certificate recognized by MEC
What will I learn?
Unlock the power of Deep Reinforcement Learning with our detailed course, designed specifically for tech professionals. Delve into essential concepts like state, action, and reward, and become proficient in algorithms such as DQN, PPO, and A3C. Get practical, hands-on experience with TensorFlow and PyTorch, and investigate smart grid systems for optimising energy consumption. Develop your abilities in simulated environments using OpenAI Gym, and learn to document and report your findings in a clear and concise manner. Level up your career with practical, high-quality learning.
Elevify advantages
Develop skills
- Become proficient in TensorFlow & PyTorch: Implement DRL models using industry-standard frameworks.
- Optimise Smart Grids: Address energy challenges with DRL-based solutions.
- Document & Report: Clearly detail experimental setups and results for effective communication.
- Simulate Environments: Utilise OpenAI Gym to develop 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.What our students say
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