AIE500X - AI for All: Essentials
Course Description
Explore the dynamic and transformative field of Artificial Intelligence (AI) in this comprehensive course designed to provide a robust foundation and practical insights into AI technologies. Spanning four key units, this course introduces essential AI concepts, demonstrates real-world applications, analyzes contemporary limitations, and emphasizes critical evaluation of AI tools for responsible use.
By the end of this course, students will be equipped with a deep understanding of AI concepts, practical experience with AI applications, awareness of AI limitations, and the critical thinking skills necessary to evaluate and use AI tools responsibly in various contexts.
Key Benefits
- 100% online self-paced course.
- Learn to use and apply AI applications in your professional role
- No prior experience required.
- Stackable for academic credit towards a degree.
- No textbooks and other materials required for purchase.
Learning Modules Include
- Unit 1: Introduction to Artificial Intelligence
- Delve into the fundamentals of AI by defining core terms such as intelligence, algorithms, machine learning, neural networks, and more. Understand the development and training of AI models, their reliance on probability and predictive modeling, and the mathematical principles that drive their functionality. Discover how AI synthesizes and predicts information, acknowledging its lack of true understanding and judgment.
- Unit 2: Practical AI Applications
- Witness the power of AI through diverse, hands-on examples. Learn how AI technologies like chatbots, speech recognition, recommendation engines, and autonomous vehicles are applied across various industries, from customer service to cybersecurity. Gain familiarity with types of AI including natural language processing, computer vision, and robotics, and see how these technologies enhance business analytics, logistics, and more.
- Unit 3: AI Limitations
- Critically examine the limitations inherent in current AI systems. Discuss issues such as outdated models, biases, and the high costs of development. Explore specific challenges in generative AI, including hallucinations, lack of common sense, and credibility assessment. Understand the comparative strengths of humans and AI, and identify optimal collaborative approaches to leverage both effectively.
- Unit 4: Evaluating and Applying AI Tools
- Learn to evaluate AI tools with a critical eye, considering factors like model design, training data, and potential biases. Engage with Explainable AI (XAI) methods to understand AI outputs better. Discuss academic integrity and the ethical use of AI, including issues of provenance, copyright, and the identification of deepfakes. Empower yourself to thoughtfully integrate AI into your academic and professional endeavors, ensuring responsible and effective usage.
Course Learning Outcomes
- Define key terms in artificial intelligence (AI).
- Relate examples of various types of AI and how they are currently used in a variety of settings.
- Explain how AI models work, including how they are developed and trained.
- Analyze major limitations in contemporary AI systems.
- Critically evaluate the outputs of AI tools and ways to use them in a socially responsible manner.
Requirements to Enroll
All learners are eligible to enroll in AIE500X: AI for All: Essentials. There are no admissions requirements. It is recommended that learners have a high school diploma or GED
Estimated Time to Completion
50 Hours
Access Time
Learners will have access to their course learning modules for up to 12 months from the date of their enrollment.
Certificate of Completion
After completion of all 4 units, learners will be awarded an official National University Workforce Education Solutions Professional and Continuing Education Certificate of Completion.