Introduction to AI

• Define, differentiate, and contextualize foundational AI concepts, paradigms, and models.
  • Evaluate AI-ready data strategies by assessing structured and unstructured datasets, applying data quality enhancement techniques, and implementing governance principles.
  • Explain and illustrate the complete lifecycle of AI systems from data acquisition and preparation through training, evaluation, fine-tuning, deployment, and inference.
  • Develop and implement effective prompt engineering strategies to optimize interactions with generative AI tools for tasks such as content generation, data analysis, and problem-solving.
  • Select, adapt, and justify the use of AI models, architectures, and tools based on application requirements, interpretability needs, scalability, infrastructure constraints, and integration considerations.
  • Assess the performance, limitations, and risks of AI systems, and implement mitigation strategies for threats using guardrails, retrieval-augmented generation, and defensive architectures.
  • Integrate responsible AI principles into all stages of AI development and ensure compliance with relevant legal, regulatory, and governance frameworks. Analyze societal, workforce, and environmental impacts of AI, and synthesize and forecast emerging trends to anticipate opportunities and challenges.

• 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.

Understanding AI can open doors to careers such as Data Scientist, AI Engineer, or Business Analyst. With AI becoming increasingly central in business strategies, this knowledge empowers you to leverage technology for innovative solutions in various sectors.

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.