The Artificial Intelligence Basics course prepares students to understand and apply foundational AI concepts in today's technology-driven workplace. Designed for individuals seeking to enhance their career opportunities, develop in-demand technical knowledge, or transition into technology-related fields, this course introduces the essential principles and practical applications of artificial intelligence across multiple industries.
Students explore key technologies, including machine learning, deep learning, natural language processing, robotic process automation, and intelligent robotics. The curriculum emphasizes how businesses use AI to streamline operations, automate repetitive tasks, analyze data, improve customer experiences, and support informed decision-making. Learners also examine AI implementation strategies, data requirements, ethical considerations, privacy concerns, and emerging technologies shaping the future workforce.
Through interactive lessons and hands-on exercises, students develop practical knowledge of AI systems and their applications in business, healthcare, information technology, and other professional environments. The course encourages critical thinking, problem-solving, and responsible technology use while building confidence in evaluating AI-powered solutions.
Upon completion, students will possess foundational AI knowledge applicable to entry-level technology roles, business operations, administrative positions, and professional development opportunities, providing a pathway toward further specialized training and career advancement.
Course Outline
Introduction
AI Foundations
Data
Machine Learning
Deep Learning
Robotic Process Automation (RPA)
Natural Language Processing (NLP)
Physical Robots
Implementation of AI
The Future of AI
Appendix
Hands-On Learning
The course includes nine interactive Live Labs designed to reinforce key concepts through practical applications, including data management, machine learning, deep learning, process automation, natural language processing, robotics, and AI implementation.
Upon successful completion of this course, students will be able to:
Explain Artificial Intelligence Fundamentals: Describe the history, evolution, and foundational principles of artificial intelligence, including machine learning, deep learning, neural networks, and natural language processing (NLP).
Apply Machine Learning and Deep Learning Concepts: Identify common machine learning algorithms, explain how neural networks process information, and evaluate practical applications of machine learning and deep learning technologies.
Explore Natural Language Processing Applications: Explain how NLP technologies enable chatbots, virtual assistants, voice recognition, and language translation while identifying their applications in business and everyday environments.
Evaluate Robotic Process Automation and Robotics: Describe how robotic process automation (RPA) and AI-powered robotics improve operational efficiency, automate repetitive tasks, and support business processes across industries.
Assess AI Implementation Strategies and Ethical Considerations: Identify the essential steps for implementing AI solutions, including data requirements, technology selection, deployment, monitoring, and evaluating potential ethical concerns, biases, privacy issues, and security risks.
Analyze Emerging AI Technologies and Future Trends: Examine advancements in artificial intelligence, autonomous systems, and robotics while evaluating their potential effects on employment, business operations, government, and society.
This class is an independent-study course. Students will have all the resources needed to successfully complete the course within the online material. A student helpdesk is available for technical support during the course enrollment.