Why Reinforcement Learning Courses South Africa?

Overall Reinforcement Learning (RL) is an area of AI (Artificial Intelligence) used to build autonomous systems (e.e., an “agent”) that learn by interacting with their environment in order to solve a problem. RL has applications in areas such as robotics, gaming, consumer modeling, healthcare, supply chain management, and more.

Part-Time

Fast forward your career in the IT industry with a part-time course at School of IT. In turn Part-time courses allow working professionals to transition into a new skill set while working. Moreover at School of IT we are agile and customize a course to the individual.

Full Time

Ready to start a career in IT? Learn Reinforcement Learning as a full time student at School of IT. Thus beginning your career in Artificial Intelligence.

High School

Learn about Reinforcement Learning and prepare for the future while you’re still in high school. Thus no matter where you are, we come to you! Thus giving you the analytical skills to pursue your dreams!

Corporate

Learn about Artificial Intelligence (AI) Training in South Africa and up skill yourself or your company while you’re working. Thus no matter where you are, we come to you and give the tools to move up in your company.

Course Objectives.

By the end of the Reinforcement Learning Course, students will have usable knowledge of the following:

• Understand the relationships and differences between Reinforcement Learning and machine learning, deep learning, supervised and unsupervised learning.
• Analyze a real-world problem and redefine it as Reinforcement Learning problem.
• Implementing a solution to a real-world problem using Reinforcement Learning.
• Understand the different algorithms available in Reinforcement Learning and select the most suitable one for the problem at hand.

Course Objectives.

By the end of the Fundamentals of Reinforcement Learning Course, students will have usable knowledge of the following:

• Install and apply the libraries and programming language needed to implement Reinforcement Learning.
• Create a software agent that is capable of learning through feedback instead of through supervised learning.
• Program an agent to solve problems where decision making is sequential and finite.
• Apply knowledge to design software that can learn in a way similar to how humans learn.

Course Objectives.

By the end of the OpenAI Training Course, students will have usable knowledge of the following:

• Overview of OpenAI Gym Features and Architecture.
• Learning About OpenAI Gym Basics.
• Exploring the OpenAI Gym Library.
• Installing OpenAI Gym and Dependencies.
• Building Gym Directly from Source.
• Working with OpenAI Gym Environments.
• Creating Your Own Environments.
• Executing Environment Functions and Tasks.
• Working with Agents, Actions, Observations, and Rewards.
• Understanding Space Types in Environments.
• Using OpenAI Gym’s Registry Function.
• Testing the Algorithms and Environments.
• Troubleshooting

The career prospects for Machine Learning Courses South Africa is high in demand. Artificial Intelligence is everywhere: on all platforms and devices and in all countries around the world!

• All in all Reinforcement Learning Developer.
• Cloud Developer.
• Data Analyst.
• Furthermore a Data Scientist.
• Become a Cloud DevOps Engineer.
• Thus become a Azure Software Engineer.
• Networking Specialist.