The gap between using a standard AI chatbot and building one that already knows your needs is much smaller than it looks, and it doesn’t require code. This customization can make a big impact on your AI efforts and be far more effective and enjoyable than using a standard chatbot. This module will help you close the gap by showing you how to configure, test, and share a custom, consumer-facing AI model of your own.
This is Module 5 of CAIAI’s Introduction to Artificial Intelligence course, available as an individual module, and offers a hands-on approach to customizing generative AI models for specific tasks, industries, and individual use cases. It also introduces the no-code platforms that make this possible, such as OpenAI’s GPTs and Gemini’s Gems, covering customizing, testing, and deploying these models ethically, safely, and effectively.
The module runs across four chapters:
The materials consist of chapter readings from the Introduction to Artificial Intelligence textbook, course videos, and online discussions where you post at least one comment addressing each chapter’s prompt. Discussions are central in this module, as building things and sharing your strategies is where you will learn fastest. You’ll also benefit from seeing someone else’s approach. Assessment is through the module assignment rather than chapter quizzes.
Off-the-shelf assistants are general by design, which is why so much output needs rewriting. Model customization as a skill is also scarce, which is important to note, as The Future Skills Centre reports that demand for core AI skills rose 37% between 2018 and 2023 and workers with AI competencies command a 56% wage premium, while only 32.0% of AI-using Canadian businesses trained their existing employees. Being the person who can build the team a working tool is a distinct position to hold.
Customization is a significant asset for businesses and helps make their AI use far more effective. Below is an example of one of those engagements:
These articles cover the same ground the module does, and give a fair preview of how it is taught.
Learners or employers are usually unaware of opportunities to pay for their learning. We have shared resources to help you identify available funding opportunities, including scholarships for individuals and grant programs for individuals and employers.
Apply for a scholarship through our Canadian AI scholarships page. In addition, visit our Canadian AI grant funding page to see what individuals or employers can apply for.
You can enrol directly on our learning platform, or use the form below if you want to ask any additional questions.
Our mission is to help Canadians learn, adapt and succeed with AI. The last step in that is stopping being a user and becoming someone who builds. This module is where that happens, and it needs no code to get there.
