BCS Foundation Certificate In Artificial Intelligence Training in Albany, NY

BCS Foundation Certificate in Artificial Intelligence Training Course Outline

Module 1: Ethical and Sustainable Human and Artificial Intelligence

• Human and Artificial Intelligence

• Concept of Intelligent Agents
• Describe a Modern Approach to Human Logical Levels of Thinking Using Robert Dilt’s Model

• What are Ethics and Trustworthy AI?

• Definition of Ethics
• Human Centric Ethical Purpose Respects Fundamental Rights, Principles, and Values
• Ethical Purpose AI is Delivered Using Trustworthy AI that is Technically Robust
• Human Centric Ethical Purpose Trustworthy AI is Continually Assessed and Monitored

• Three Fundamental Areas of Sustainability and The United Nation’s Seventeen Sustainability Goals
• How AI is Part of Universal Design, and the Fourth Industrial Revolution?
• Understand that ML is a Significant Contribution to the Growth of Artificial Intelligence
• Describe Learning from Experience and How it Relates to Machine Learning

Module 2: Artificial Intelligence and Robotics

• Understanding of the AI Intelligent Agent Description

• Four Rational Agent Dependencies
• Agents in Terms of Performance Measure, Environment, Actuators, and Sensors
• Four Types of Agent: Reflex, Model-Based Reflex, Goal-Based and Utility-Based
• Identify the Relationship of AI Agents with Machine Learning

• What is a Robot?

• Robotic Paradigms

• What is an Intelligent Robot?

• Relate Intelligent Robotics to Intelligent Agents

Module 3: Applying the Benefits of AI - Challenges and Risks

• How Sustainability Relates to Human-Centric Ethical AI and How Our Values Will Drive Our Use of AI Will Change Humans, Society, and Organisations
• Benefits of Artificial Intelligence By

• Advantages of Machine and Human and Machine Systems

• Challenges of Artificial Intelligence, and Give

• General Ethical Challenges AI Raises
• General Examples of the Limitations of AI Systems Compared to Human Systems

• Understanding of the Risks of AI Project

• Give At Least One A General Example of the Risks Of AI
• Typical AI Project Team in Particular

• Domain Expert
• What is Fit-of-Purpose?
• Difference Between Waterfall and Agile Projects

• List Opportunities For AI
• Identify a Typical Funding Source for AI Projects and Relate to The NASA Technology Readiness Levels (TRLs)

Module 4: Starting AI How to Build A Machine Learning Toolbox - Theory and Practice

• How We Learn from Data – Functionality, Software, and Hardware?

• Common Open-Source Machine Learning Functionality, Software, and Hardware
• Introductory Theory of Machine Learning
• Typical Tasks in the Preparation of Data
• Typical Types of Machine Learning Algorithms
• Typical Methods of Visualising Data

• Which Typical, Narrow AI Capability is Useful in ML and AI Agents’ Functionality?

Module 5: Management, Roles and Responsibilities of Humans and Machines

• Understanding that Artificial Intelligence Will Drive Humans and Machines to Work Together
• Future Directions of Humans and Machines Working Together
• Learning from Experience Agile Approach to Projects
  • Describe the Type of Team Members Needed for an Agile Project