Introduction to AI

• Define the scope, disciplines, and systems of Artificial Intelligence (AI) to establish a foundational understanding of key concepts and terminology.
• Develop AI-ready data strategies that integrate diverse data types, ensure compliance with data governance standards, and manage the data lifecycle effectively.
• Analyze the components of the AI ecosystem, including model architectures and generative-based models.
• Illustrate the complete lifecycle of AI models from problem definition through model development, evaluation, and deployment.
• Apply effective prompt engineering strategies to optimize interactions with generative AI tools for tasks such as content generation, data analysis, and problem-solving.
• Evaluate AI reliability, security, and privacy by assessing performance metrics, detecting and mitigating hallucinations, and implementing risk mitigation strategies.
• Integrate responsible and ethical AI principles into all stages of model development and usage to ensure fairness, transparency, and accountability.
• Assess the societal, workforce, and environmental impacts of AI technologies to anticipate potential risks, benefits, and opportunities for innovation.

• Foundations of Artificial Intelligence
• Data Strategy for AI
• AI Model Architectures and Ecosystem
• AI Model Lifecycle and Deployment
• Prompt Engineering
• AI Reliability, Security, and Risk Mitigation
• AI Ethics, Governance, and Responsible AI
• Applications, Infrastructure, and Societal Impact

This course is offered as a virtual, synchronous program. That means there are scheduled online lectures and interactive workshops. The course meeting will be bi-weekly in a virtual setting via Zoom.

Familiarity with basic programming concepts and data analysis is beneficial but not mandatory.

The Introduction to Artificial Intelligence course is intended to help learners apply AI knowledge within their existing or future professions. By developing skills in data strategy, prompt engineering, responsible AI, and practical tool use, participants can enhance their effectiveness in fields like business, education, healthcare, manufacturing, and IT. This training positions them to integrate AI innovatively and productively into their work, making them more adaptable and competitive in an AI-driven world.

When you click on the  below, you will be directed to the Skills Training Self-Registration Portal. Once you are redirected to the registration page, click on "New to Skills Training?" even if you have an existing username. 

Note: You will be asked to provide your SSN; this is necessary to match or create a new account with the College. This data is encrypted and deleted from the registration platform once it has been transmitted into our closed database. Please review the College's Skills Training Terms and Conditions and the Student Financial Agreement fully before submitting your registration. 

There are several flexible options available to help cover the cost of your skills training class:

• One-time payment – Pay the full class price upfront.

• Payment plan – Split your payments into 3-, 6-, or 9-month installments ($30 to set up, no interest).

• Employer sponsorship – Your employer may fund your training as part of a workforce development or upskilling initiative - ask them today!

Need help deciding? Select "Unsure" on the registration form and our team will reach out to discuss details with you.