Foundations of Computer Vision & Recognition Systems

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As one of the seven patterns of AI, recognition systems use machine learning and cognitive technology to help identify and categorize unstructured data into specific classifications. This course provides a foundation and basic literacy for recognition systems with a special focus on computer vision. The course explains what computer vision is, discuss neural networks and their role, as well as use cases for computer vision and recognition. This course is geared towards a wide range of roles including executives, managers, technical, or procurement and technology buyer roles.

What Will I Learn?

  • Overview of Computer Vision (CV)
  • Applications of computer vision
  • Overview of the recognition pattern of AI
  • Recognition and CV Use Cases
  • Technology approaches for CV and Recognition
  • Deep learning for CV and Recognition
  • Non-Deep Learning approaches to CV
  • Data collection and preparation needs and issues for CV

Who is this Training For?

  • C-Level Executives
  • Commanding Officers
  • Directors
  • Project Manager
  • Product Manager
  • Capability Manager
  • Technical Manager / Information Technician
  • Acquisitions Manager
  • Procurement & Contracting Officers
  • 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

Supported Learning Paths

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

Learning Levels

  • DoD JAIC AI: BASIC (Foundation) Level
  • Edison Data Science Framework: Level 3-4
  • Category: Foundations of AI & Data Science