Ethical AI Applications of Deep Learning and Computer Vision

Ethical AI Applications of Deep Learning

Course provided by IBM

£399.00

Summary overview

  • Online anytime
  • 24 hours study time
  • Information technology
  • £399.00
  • Advanced

About this course

Learning outcomes

  1. Explore machine learning algorithms and techniques
  2. Understand deep learning and its industry applications
  3. Understand computer vision and its relationship with deep learning
  4. Explore computer vision industry implementations through simulations and experiments
  5. Hands-on experience with IBM Watson Visual Recognition

How does it work?

  1. This course is divided into two practice levels to progress through at your own pace.

  2. Each level covers more advanced topics and builds up on top of the concepts, practice and skills addressed on the previous practice levels.

Who should take this course

  1. If you already have a lot of experience in artificial intelligence, but desire to dig deeper into ethical applications of concepts such as deep learning and computer vision, this course is right for you.

  2. If youve completed our Getting Started with Enterprise-grade AI and Building Trustworthy AI Enterprise Solutions foundation and intermediate courses, this is the logical next step for your knowledge building.

Requirements

  1. EITHERComplete the Building Trustworthy AI Enterprise Solutions intermediate course from the Artificial Intelligence Series.

  2. OR You will need prior knowledge on the following subjects before joining this course:

  3. Understand the evolution and relevance of Artificial Intelligence for the enterprise, and implementation trends across several industries, including autonomous-vehicles, robotics, and the job market.

  4. Using low-code cloud-based AI tools with pre-built machine learning algorithms.

  5. Hands-on experience with IBM Cloud services, IBM Watson Discovery, IBM Watson Assistant, IBM Language Translator, Text-to-Speech, Speech-to-Text, IBM Tone Analyzer.

  6. Study the impact of COVID-19 on a law firm, and the internal dynamics as they embark in a digital transformation AI journey to explore new legal service offerings.

  7. Understand interdepartmental responsibilities within a law firm, between C-Level executives, lawyers, and AI ethic consultants, and their interactions with client teams including design researchers, AI developers, and Business liaisons.

  8. Understand AI ethical practices including fairness, accountability, user data rights, value alignment and explainability.