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Artificial Intelligence (AI) is a field that is continually and actively growing and changing, expanding human capability beyond imagination. AI has captured the attention of scientists, engineers and business people across industries worldwide exploring ways to find insight and create value from smart applications and products.
This 5-hour course presents the basics of AI from historical to modern AI with the illustrative applications of endless possibilities. We will examine how AI already impacts every aspect of our daily lives and explore emerging AI based technologies with examples of applications and implications as well as opportunities. To understand some of the deeper concepts, such as natural language processing, face recognition and autonomous driving, we will explore several basic AI concepts: four major types of AI as well as machine learning, logic and planning, probabilistic technology, deep learning, and neural networks.
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You will learn to:
- Demonstrate a fundamental understanding of artificial intelligence (AI) and its foundations
- Apply basic principles of AI to problems that require inference, perception, and learning
- Demonstrate awareness and a fundamental understanding of various applications of AI techniques in intelligent agents, expert systems, artificial neural networks, autonomous vehicle, and other machine learning models
- Demonstrate an ability to share in discussions of AI, its current scope and limitations, and societal impact
This course is geared towards:
- Business managers and executives
- Technology managers and executives
- Data science and data engineering team members
- Process improvement professionals
- IT analysts and developers
- Data management analysts
- Technology and business architects
- Analytics, business intelligence, data science, and data engineering program leaders
- Anyone with an interest in understanding the capabilities, opportunities, and challenges offered by artificial intelligence
Module 0. About the Course (6 min)
Module 1. AI In Everyday Life (48 min)
- Introduction
- Ubiquitous AI is the “New Normal”
- Great Benefits of AI Across Industries
- AI In Everyday Life
Module 2. AI Introduction (44 min)
- What is AI?
- Artificial Intelligence in Real Life
- AI Popularity
- What Drives AI Popularity?
- AI is Enjoying Significant Hype and Investment
- Definition of AI
- AI Purpose and Goals
- Short History of AI
- The Foundations of AI
Module 3. Intelligent Systems (44 min)
- What is Intelligence Composed Of?
- What AI Should be Able to Do?
- Types of AI Systems: Parts 1 & 2
- Act Rationally/Act Like a Human
- Systems that Act Like Humans
- Systems that Think and Act Rationally
- Systems that Act Rationally
Module 4. Search (50 min)
- Search Algorithms
Breadth-First Search
- Depth-First Strategy
- Bidirectional Strategy
- Uniform Cost Search
- Comparison of Strategies
- Informed or Heuristic Search
- Local Search Algorithms
Module 5. Planning & Expert Systems (35 min)
- Planning
- Formal Definition of Planning
- Basic Planning Algorithms
- Formalizing Planning Problems
- Forward Chaining Planning
- Backward Chaining
- Expert Systems
Module 6. Learning (62 min)
- Learning
- Deep Learning
- Natural Language Processing
- Robotics
- Self-Driving Vehicles
- Self-Driving Cars Impact
- AI Issues
- Ethical Issues in AI
Click –here- to download a more detailed outline of this course.
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This exam tests knowledge and understanding of basic concepts, principles, and terminology of data science.
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You will be tested in these areas:
- Everyday situations where AI is used
- The definition and purpose of AI
- Concepts of intelligence
- Systems that act like humans
- Systems that act rationally
- Search techniques in AI
- Planning systems and expert systems
- Machine learning basics
- Natural Language Processing
- Robotics
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Additional Information
Number of Questions: 25
Time Limit: 50 Minutes
Passing Score: 70%
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Once you pass the exam, you will receive a Certificate of Education
documenting that you have demonstrated mastery of the topic. Course
exams count towards eLC certification programs. Visit our Certification page for more information about our various programs.
We recommend that you take detailed notes and review the course material multiple times before taking this exam.
Click here to learn more about CIMP exams.
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Course Review from 11/30/2020 
