What is Artificial Intelligence
30 min! Run Time
Employees
and
Supervisors
of Completion
What you'll learn
Description
Go beyond the buzzwords and explore how artificial intelligence actually works, from machine learning to the systems reshaping entire industries.
What this course covers:
- The difference between Narrow AI and General AI
- Machine learning: supervised, unsupervised, and reinforcement
- AI applications in fields like healthcare and finance
- Ethical concerns such as bias and privacy
- AI's potential to drive future innovation
A broad, foundational course for learners who want real depth on how AI and machine learning work.
System Requirements
See System Requirements in the Coggno Knowledge Base
Author
Enspark was founded with the vision of creating e-learning solutions that break the typical e-learning mold. Since 2009 Enspark Interactive has been developing learning and training solutions that are used worldwide. Our content comes from real corporate trainers and subject matter experts who specialize in assisting business and individuals create awareness and behaviors to achieve desired results. We know from experience that e-learning is a powerful way to provide relevant information to individuals in every organization. Our goal is to transform the e-learning industry to be more engaging, interactive, and affordable so even the smallest companies can train their employees using state of the art technology. At Enspark we are always looking for was to utilize the most current technologies to truly deliver intelligent and effective training solutions.
What is Artificial Intelligence
Frequently Asked Questions
The course draws a clear line between Narrow AI, which is built for a specific task, and General AI, a broader concept behind many of today's buzzwords. It uses this distinction as a foundation before moving into machine learning and real-world AI applications.
It breaks machine learning into three approaches: supervised, unsupervised, and reinforcement learning. Understanding these categories is presented as essential groundwork for grasping how AI systems actually learn and improve, rather than treating machine learning as one undefined process.
Healthcare and finance are highlighted as fields where AI applications are already reshaping how work gets done. The course uses these industries to ground abstract AI concepts in real examples of how the technology is changing entire sectors beyond the buzzwords.
Yes, it addresses ethical concerns such as bias and privacy, treating them as central to understanding AI rather than an afterthought. These issues sit alongside the technical content on machine learning, giving learners a fuller view of AI's real-world impact.
It suits learners who want real depth on how AI and machine learning actually work, rather than a surface-level overview. The course is described as broad and foundational, covering everything from core definitions to AI's potential to drive future innovation.
