Continuing Education

Generative AI: From Concepts to Real-World Solution

Harness the power of generative AI

Are you ready to unlock the power of generative AI and revolutionize your understanding of data-driven solutions? Introducing our Large Language Model Certificate—a cutting-edge program designed for individuals passionate about harnessing the potential of large language models to drive innovation and solve complex problems.

Delve into the core principles of Natural Language Processing (NLP) and gain a comprehensive understanding of how language models interpret and generate human-like text. Explore the latest advancements in the field and learn to leverage NLP techniques for a wide range of applications.

 

Courses

Quick Facts

Credential: Certificate Completion

A non-credit program that has no formal summative assessment component and is subject to a regular quality curriculum review process.

Campus: Main

Any in-person components of your courses will be delivered at NAIT's Main Campus in Edmonton. View map

Delivery Modes:

    Delivery Times:

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      Funding Options

      Courses, certificates and transfer credits

      Technology Requirements

      Delivery Methods

      • Face to Face: Where: In-person meetings. When: Course is scheduled at a specific time for students to attend. Face-to-face instruction at all class meetings. Location may be on campus or at a worksite.
      • Blended: Where: Mixture of in-person & online components. When: Course is scheduled at a specific time for students to attend. Combination of face-to-face and online components at specific times. Some online components may be accessed online anytime.
      • Hyflex: Where: Choice to attend in-person or online meetings. When: Course is scheduled at a specific time for students to attend. For each class, students choose to attend in-person with the instructor or online at a specific time.
      • Remote Live Delivery: Where: Online with instructor. When: Course is scheduled at a specific time for students to attend. Instruction is delivered at set times online. Students do not come to campus.
      • Remote On-Demand Delivery: Where: Online anytime. When: No set class meetings. Coursework is accessed on-demand and online. While there are no set class meetings, there may be set due dates and deadlines for some activities. Students may interact with peers through virtual tools.
      • Remote Independent: Where: Online anytime. When: No set class meetings. Coursework is accessed on-demand and online, with no instructor support. While students choose when to do coursework, there may be set due dates and deadlines. 
      • Work Placement: Where: In-person meetings. When: Work is scheduled at a specific time for students to attend. Onsite work integrated learning. Location at a worksite.
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