Product Details
Topics Covered
- Artificial Intelligence
- Machine learning
- Deep learning
- Neural networks
- Robotics
- Ethics in AI
- Big Data
- Natural language processing
- Natural language generation
- Moral duties
- Computer vision
Key Features
- Mobile-friendly
- Audio-enabled
- Badge and credit-awarding
- Real-world case studies
- Fully accessible
- Games & Flashcards
- Expert-supported
- Video content
Course Preview
Course Description
Learning Outcomes
- Describe important events in the history of artificial intelligence
- Compare knowledge-based systems to expert systems
- Summarize the major characteristics of the different types of AI
- Explain the Turing Test and other approaches to AI
- Distinguish between machine learning and deep learning
- Propose ways in which an AI can be designed to not cause harm to humans
- Evaluate ethical concepts as they apply to AI
- Demonstrate how natural language processing and generation work
- Examine how computer vision, robotics, and Big Data relate to AI
- Critique the use of AI in information security and the potential use of AI in attacks
Notes
This course has an "Ask the Expert" feature, which submits your questions directly to an expert in the field you are studying. Questions are answered as quickly as possible and usually within 24 hours.
As an Accredited Provider, MindEdge offers for its learning events that comply with the Continuing Education and Training Standard.
Learners must achieve an average test score of at least 70% to meet the minimum successful completion requirement and qualify to receive credit. Learners will have three attempts at all graded assessments.