Foundations of Reinforcement Learning & Goal-Driven Systems

Current Status
Not Enrolled
Coming Soon
Get Started
This course is currently closed

As one of the seven patterns of AI,Goal-Driven Systems help find the optimal solution to a problem. This course provides an advanced AI concept overview of goal-driven systems, with a focus on reinforcement learning. We explain which algorithms are commonly used for this pattern, and provide use case examples. This course is geared towards a more technical audience.

What Will I Learn?

  • What is Reinforcement learning
  • Overview of the Goal Driven pattern of AI
  • Applications and use cases of the goal driven pattern
  • Game-playing systems
  • Scenario Simulation
  • DeepMind / AlphaGo
  • Methods for reinforcement learning
  • Data collection and preparation needs and challenges for reinforcement learning systems
  • Limitations of reinforcement learning
  • Tools and technologies for reinforcement learning

Who is this Training For?

  • Computer Systems Programmer
  • Developer
  • Artificial Intelligence Research Associate
  • Data Scientist
  • AI / Machine Learning (ML) Engineer
  • AI Assurance Engineer
  • Test & Evaluation Engineer, System Engineer
  • Network Analyst
  • Data Analyst
  • Operations Research Analyst
  • Deployment Engineer
  • Knowledge Operations Manager
  • Network Infrastructure Engineer
  • Information Technician

Supported Learning Paths

  • Cognilytica: Procuring AI 
  • DoD JAIC: Create AI
  • Edison DSF: Data Science Professionals (DSP04 -DSP09), Data Engineering & Management Professionals (DSP10-DSP16)

Learning Levels

  • DoD JAIC AI: Intermediate (Applied) Level
  • Edison DSF: Level 3-4
  • Category: Foundations of AI & Data Science