Happy Sunday! Thank you for all your support to my new AIX course.
Registration will open for my global online course 'AIX' on wed Oct 2nd for a week or till we hit capacity.
AIX is a 6 week fully online course for designers and product managers on DriverlessWorldSchool.com AIX is about designing for AI with a focus on the AV. It could be voice, AR, VR, Mobile AP, new jobs, and practical design tools etc.
AIX course includes:
1. Designing for AI - tools, techniques, best practices
2. Humanizing and Genderizing Voice
3. Adapting to future Data Design Jobs.
Bonus: Hands-on project with a business hackathon to showcase student's work at the end.
Bonus: Two Guest speakers who work with ML-UX and with AR in the car.
4. Check Weekly Wednesday LiveQ&A archive for last week Live about AIX
5. Join us Next Weekly Wednesday Oct 2nd to build on the topic to AIX - Demystifying jargons and tools.
AI is about data +algorithms. So Designers need to learn to design with multiple data sources not only engage algorithms like voice or AR. Dr. Charles Ikem will join me to show a visual demo of API Designer and we will also answer questions about the upcoming AIX online course.
On Oct 2nd at the WeeklyWed Live, we plan to announce some limited scholarships offered by David Kerrigan of Ireland. Thank You David.
6. Or join us as we plan to continue after the Weekly Wed live as a Tweetchat with some UX experts including Dr. Charles Ikem, Antonio Squeo, CIO Hevolus Innovation and developer of Natuzzi Italia AR concept store.
1. Subscribe to my YouTube and the live link will show up when I go live (Wed 9am pt/18 cest/1pm Brazil)
2. Goto Livestreamed Lessons on DriverlessWorldSchool and check last week's archive or join this week's Weekly Wednesday LiveQ&A
My Upcoming Classes:
1. Tell your friends about my next Stanford Continuing Studies "Autonomous Vehicle Business: An Intensive Bootcamp" course registration on Nov 9/10th. I need to know from past students by Sep 30th if you want to join current students during lunch. I have updated speakers and topics here.
2. Here's the curriculum of my new course online "AIX" course that I've co-developed with Dr.Charles Ikem of Europe about AIXDesign in Autonomous Vehicles. This course will help designers and product managers who work with AI Engineers in Autonomous Vehicles and other AI driven products. Course will run fully online for 6 weeks from mid-Oct with lifetime access to the archive after that. (Reg opens on Oct 2nd for a limited time).
Signup to know when registration opens for AIX course. You should receive a free mini-course sample if who join the stay-informed list before Oct 2nd. So tell your friends who are designers or product managers.
1. Federal Funding for Robotics companies (Nov 6th) (I have no affiliation) San Francisco here.
2. Speaking Op - Let me know if this interests you, especially my students who want to build out their brands and I am happy to make a referral. - One to speak about Internet of Things to Fisher College Students in Boston (remotely via Zoom). Second is to speak about IoT or AV to a group of global professional consultants in a Telecom company (can also be remote)
1. Australia launches a large LoraWAN smart waste network with The Things Network. (IoT news)
2. Climate Justice book author Mary Robinson (ex President of Ireland)'s visit to Boston College summarized by my friend Juan Carlos Giraldo.
3. How Africans are learning tech but make every attempt to better their local communities is very inspriting to me. Here is another example of Ethiopian students from Stanford Engg.
4. Quantas uses AI to predict flight time estimates, facial recognition for faster airport check-ins, but what made news was about talking LiDARS from the self-driving car world to count lines (queues) in airports. Do you agree that such a use of LiDAR is economical? I remember a Stanford student's IoT project about counting people outside mainstreet stores using IoT sensors. Why do you think we need LiDARS instead of motion sensors?
5. Among the many Amazon launches of this week, what stuck me most was that Alexa might now know when we are frustrated. Is probabilistic prediction of human emotions supported by published research by ML community? Or is this simple sentiment analysis and we are Humanizing Alexa wishfully? PIng me if you know of ML models that support prediction of human emotions.
If you miss our Weekly Wednesday Live sessions, check the archives at Livestreamed Lessons.
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Remember, I am here to help you on your learning journey.