Deep Reinforcement Learning Course
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.
Apoia's Differentials
Develop skills
Strengthen the development of the practical skills listed below
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
Workload: between 4 and 360 hours
Before starting, you can adjust the chapters and the workload.
- Choose which chapter to start with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can add
You will be able to generate more chapters like the examples below
This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.