Overview
The Fundamentals of Artificial Intelligence course provides a clear and accessible introduction to the core concepts of AI for Quality Assurance Engineers.
You’ll learn how modern AI systems are built, how they learn from data, reason through models and make autonomous decisions — as well as how these processes differ fundamentally from traditional, rule-based software programming.
Through real-world QA examples and guided exercises, participants will explore how AI is transforming software testing - from intelligent test generation and defect prediction to model validation and automation strategies.
This course also provides a structured roadmap to help you become interview-ready for AI QA roles within 6 months, combining theoretical foundations with real-world testing perspectives.
After this class, you will know how to:
- Explain the definition and evolution of Artificial Intelligence, from its early origins to today’s advanced systems
- Differentiate between key types of AI — including Narrow AI, General AI and Superintelligent AI
- Understand Narrow AI subcategories, such as Generative AI, Reactive Machines, Limited Memory AI, Natural Language Processing (NLP), Computer Vision, Speech Recognition, and Robotics
- Describe how Generative AI works in text, image, audio, video, and code generation applications
- Identify and compare modern AI models, including Large Language Models (LLMs) and other state-of-the-art architectures
- Analyze real-world applications of AI and discuss trends shaping its future
- Understand the architecture and core components of AI systems, including models, parameters, tokens and datasets
- Recognize how AI technologies are integrated into modern QA tools, improving automation, defect prediction and test generation
- Evaluate and validate AI-based software systems through QA-focused test scenarios and hands-on analysis
- Build confidence to discuss AI testing concepts and practices in technical interviews and professional discussions
- Machine learning frameworks (PyTorch)
Course Work Includes
- 10 Homework assignments for skill reinforcement
- 4 In-class multiple-choice tests to assess comprehension
- 15 Common AI interview questions with answers to help you prepare for real-world interviews
Prerequisites
None.
Course Duration
24 weeks (Begins on Tuesday, November 11, 2025
at 7:00 pm in )
Course Format
This is an online course. We apply a powerful learning cycle of 3 hours lecture twice a week. (6 hours per week)
Each student gets a lab code and the entire course content printed out, interview questions/answers, tests and quizzes.
Learning cycle process is used repeatedly, first to integrate basic concepts, and then to reuse those concepts to master more advanced topics.
Practical exercises will be performed to take the learned knowledge to the level of practical application.
Detailed discussions will thoroughly deepen the understanding on which options are available at each step in the design process.
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Course Fee
$60 per week ($10 per hour)
Payment Methods: Venmo, Zelle or PayPal, after each week.
Instructor
Alex Tilo
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