This project-based course will teach you to build a chatbot application named "Bruno" and powered by OpenAI’s Assistants API. You'll create a custom, tuned assistant for your product or service, and utilize Nuxt and TypeScript to power communications with the user.
Build a ChatBot with Nuxt, TypeScript and the OpenAI Assistants API
Be at the forefront of the AI explosion by building an AI-powered customer support ChatBot that will be a standout project in your portfolio!
About the Author: Zero To Mastery
Zero To Mastery (ZTM) is a Toronto-based online coding academy founded by Andrei Neagoie, originally a senior developer at large Canadian tech firms before turning to teaching full-time. The academy's signature is the cohort-based bootcamp track combined with a deep self-paced course library, all aimed at career-changers and self-taught developers preparing to land software-engineering roles at top companies.
The instructor roster has grown well beyond Andrei to include other senior practitioners: Daniel Bourke (machine learning), Aleksa Tešić (DevOps), Jacinto Wong, and others. Courses cover the full software-engineering career path: web development with React and Next.js, Python, machine learning and deep learning, DevOps and cloud, system design, mobile, and the algorithm / data-structure interview prep that gates engineering jobs.
The CourseFlix listing under this source carries over 120 ZTM courses spanning that full range. Material is paid; ZTM itself runs on a monthly / annual membership model. The teaching style favours long-form, project-based courses where students build complete portfolio-quality applications rather than disconnected feature tutorials.
Watch Online 22 lessons
| # | Lesson Title | Duration | Access |
|---|---|---|---|
| 1 | Project Demo Demo | 01:53 | |
| 2 | Starting a Nuxt Project | 08:04 | |
| 3 | Adding the Template | 03:50 | |
| 4 | Installing Nuxt Modules | 06:12 | |
| 5 | Auto Imported Components | 06:04 | |
| 6 | State Management | 11:18 | |
| 7 | State Composables | 03:27 | |
| 8 | Form Validation | 06:57 | |
| 9 | Submitting Chat Messages | 06:22 | |
| 10 | Storing Messages With Interfaces | 14:36 | |
| 11 | Displaying Chat Messages | 06:09 | |
| 12 | Processing Markdown | 07:22 | |
| 13 | Creating an AI Assistant | 08:48 | |
| 14 | OpenAI SDK | 05:11 | |
| 15 | Initializing a Run | 06:10 | |
| 16 | Adding Additional Instructions | 06:29 | |
| 17 | Retrieving Messages | 10:13 | |
| 18 | The useFetch Function | 06:04 | |
| 19 | Waiting for Pending Requests | 07:47 | |
| 20 | Adding New Messages to the Assistant | 06:31 | |
| 21 | Updating the Chat Log | 07:50 | |
| 22 | Finishing Touches | 13:43 |
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