Intermediate AI - Asynchronous Online
Dive deeper into the fascinating world of artificial intelligence. Explore machine learning algorithms, natural language processing, and neural networks, while gaining hands-on experience with popular AI frameworks and tools. Take your AI expertise to the next level.
Prerequisite Recommendation: While not required, participants are encouraged to complete Introduction to ChatGPT before enrolling to maximize their success in this course.
IMPORTANT INFORMATION:
*This class is included in the full certificate course, AI Certificate. If you would like to register for the full certificate course, please search the name of the course here.
*A digital badge will be issued when the class has been completed.
*LERN (Learning Resources Network) will send login information to the primary e-mail listed in your Arux account. Please update your email in Arux if you prefer to receive this login information to be sent to a different e-mail.
LERN (Learning Resources Network)
Instructor
Elizabeth Flanagan co-founded WorkStrengths.com because she is passionate about helping individuals and companies leverage their talent to achieve their leadership potential, develop professional capabilities, and maximize effectiveness. She is results-oriented and pragmatic, drawing on 20+ years experience in executive positions within large Fortune 500 corporations and top-tier venture-funded startups – all of which gives her a broad perspective on the unique challenges workers and leaders face today. Elizabeth holds an AB from Harvard University, cum laude, and an MBA from University of Virginia. In addition, she is a frequent speaker on the topic of Leadership Development and Gallup's CliftonStrengths (StrengthsFinder).
Marcus Lander has been building web applications since 1996 and has been a technical trainer since 1999. He has facilitated many software courses, programs and manuals over the years and his preferences tend to lean towards web application development and design.
F26-1-01b
Instructors:
- LERN (Learning Resources Network)
| Date | Time | Location |
|---|---|---|
| Mon, Oct 5th 2026 | 12:00 AM - 11:59 PM | Asynchronous Learning |
| Tue, Oct 6th 2026 | 12:00 AM - 11:59 PM | Asynchronous Learning |
| Wed, Oct 7th 2026 | 12:00 AM - 11:59 PM | Asynchronous Learning |
| Thu, Oct 8th 2026 | 12:00 AM - 11:59 PM | Asynchronous Learning |
| Fri, Oct 9th 2026 | 12:00 AM - 11:59 PM | Asynchronous Learning |
| Sat, Oct 10th 2026 | 12:00 AM - 11:59 PM | Asynchronous Learning |
| Sun, Oct 11th 2026 | 12:00 AM - 11:59 PM | Asynchronous Learning |
| Mon, Oct 12th 2026 | 12:00 AM - 11:59 PM | Asynchronous Learning |
| Tue, Oct 13th 2026 | 12:00 AM - 11:59 PM | Asynchronous Learning |
| Wed, Oct 14th 2026 | 12:00 AM - 11:59 PM | Asynchronous Learning |
| Thu, Oct 15th 2026 | 12:00 AM - 11:59 PM | Asynchronous Learning |
| Fri, Oct 16th 2026 | 12:00 AM - 11:59 PM | Asynchronous Learning |
| Sat, Oct 17th 2026 | 12:00 AM - 11:59 PM | Asynchronous Learning |
| Sun, Oct 18th 2026 | 12:00 AM - 11:59 PM | Asynchronous Learning |
| Mon, Oct 19th 2026 | 12:00 AM - 11:59 PM | Asynchronous Learning |
| Tue, Oct 20th 2026 | 12:00 AM - 11:59 PM | Asynchronous Learning |
| Wed, Oct 21st 2026 | 12:00 AM - 11:59 PM | Asynchronous Learning |
| Thu, Oct 22nd 2026 | 12:00 AM - 11:59 PM | Asynchronous Learning |
| Fri, Oct 23rd 2026 | 12:00 AM - 11:59 PM | Asynchronous Learning |
| Sat, Oct 24th 2026 | 12:00 AM - 11:59 PM | Asynchronous Learning |
| Sun, Oct 25th 2026 | 12:00 AM - 11:59 PM | Asynchronous Learning |
| Mon, Oct 26th 2026 | 12:00 AM - 11:59 PM | Asynchronous Learning |
| Tue, Oct 27th 2026 | 12:00 AM - 11:59 PM | Asynchronous Learning |
| Wed, Oct 28th 2026 | 12:00 AM - 11:59 PM | Asynchronous Learning |
| Thu, Oct 29th 2026 | 12:00 AM - 11:59 PM | Asynchronous Learning |
| Fri, Oct 30th 2026 | 12:00 AM - 11:59 PM | Asynchronous Learning |
