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Deep Reinforcement Learning Course
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.
- 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.

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
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