Deep Reinforcement Learning Course
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.
Apoia's Advantages
Develop skills
Enhance the development of the practical skills mentioned below
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
Workload: between 4 and 360 hours
Before starting, you can modify 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 provides practical and relevant knowledge for your professional journey.