AI Fundamentals
Artificial Intelligence
Course Overview Every industry is being rewritten by AI, and the people who understand the vocabulary are the ones steering the conversation. This course hands you the exact terms, concepts, and buzzwords that separate confused bystanders from confident contributors in any AI conversation, boardroom, or job interview.
Course Content
What You'll Walk Away With
A working vocabulary of the terms driving today's AI conversations, from machine learning basics to generative AI concepts The confidence to join (and lead) conversations about AI without feeling lost Clear, plain English definitions with real world context, no PhD required The ability to tell the difference between hype and substance when new AI tools launch
Who This Is For
Professionals who want to stay relevant in an AI driven workplace Managers and leaders making decisions about AI adoption Anyone curious about AI who wants a real foundation instead of surface level buzzwords Teams preparing for AI integration across their organization
Learning Objectives
- By the end of this course, learners will be able to demonstrate the use of core AI terminology during professional team meetings to clarify project scope.
- By the end of this course, learners will be able to implement fundamental machine learning concepts to solve common organizational communication challenges regarding digital strategy.
- By the end of this course, learners will be able to execute an evaluation of AI marketing materials to distinguish between realistic innovation and hyperbolic hype.
- By the end of this course, learners will be able to solve basic interpretation errors in technical discussions by applying accurate definitions of generative AI concepts.
- By the end of this course, learners will be able to demonstrate an understanding of AI tool capabilities by applying them to specific, real-world business use cases discussed in their industry.
Learning Objectives
- By the end of this course, learners will be able to execute pre-trained image recognition algorithms to classify objects within a real-world image set.
- By the end of this course, learners will be able to demonstrate the use of prompt engineering techniques to improve the accuracy of generative AI text responses.
- By the end of this course, learners will be able to implement basic AI safety filters to mitigate potential bias in automated decision-making outputs.