This online course is run by the Researcher Academy
The Researcher Academy courses are very popular and the majority are run in both semesters to give you the opportunity to attend at a time of the year that suits you.
Target Audience: Researchers who are interested in learning how to perform machine learning tasks without learning to code.
Description:
This seminar will empower researchers with the knowledge and skills to leverage Azure AI Services, a suite of AI and machine learning (ML) tools. Participants will gain hands-on experience in utilizing pre-written code and API keys to perform various ML tasks, including image recognition, text analytics, and speech processing.
Course Objectives:
Course Accessibility
The following table shows a summary of what is needed to participate in the course.
If you feel you will experience any difficulties participating, please let us know via the ‘special requirements’ tab, providing as much information as possible. The special requirements tab can be completed when you book your place. Alternatively, you can contact us directly at ra-training@nottingham.ac.uk.
Access and/or complete self-study/ pre-course tasks prior to main session(s) | |
Access Moodle | |
Access MS Teams | |
Attend the course at the specified date and time | |
Use (platform) chatbox function | |
Take part in group activities/ discussions | |
Engage with online materials | |
Watch and listen to the course tutor(s) and/or other attendees |
|
Follow presentation slides during the course |
Booking Conditions:
Our webinars/ online courses are very popular, especially in the current period and we are experiencing large volumes of people on our waiting lists.
Please do let us know if you would like to cancel your place on this course so we can offer your place to another delegate.
Please note, attendances for courses will be recorded. There are no training points associated with courses run by the Researcher Academy.
Location | Start Date | All Dates | Times | Places Available | Book |
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Online Course | 28 November 2024 | 28 November 2024 | 9:30am - 11:30am | 0 | Add to Waiting List |