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Working AI
Working AI: How I-Chiao Lin Went From App Developer to AI Engineer
I-Chiao Lin is a computer vision specialist who builds AI applications for virtual reality headsets. Previously, she developed computer vision systems for baby monitors that detect a child’s sleep quality. She spoke to us about how she prepares for job interviews, the lessons she has learned developing consumer products, and how a Pixar movie inspired her to pursue a career in AI.
Ambassador Spotlight
2022 Pie & AI Ambassador Spotlight: Jean de Dieu Nyandwi
Why did you join the DeepLearning.AI community as an event ambassador? Before becoming an ambassador I took several of DeepLearning.AI’s specializations. I believed that becoming an ambassador would help me to meet more people in…
Ambassador Spotlight
2022 Pie & AI Ambassador Spotlight: Deepak Sai Pendyala
Why did you join the DeepLearning.AI community as an event ambassador? Pie & AI reaches underserved communities and highlights the importance of data science, artificial intelligence, and machine learning. As an undergrad, I’m always enthusiastic…
Community
Andrew Ng on How His Updated Machine Learning Specialization Can Help You Break Into AI
In the mid-2000s, AI was still just a curiosity to the world at large. At Stanford University, however, one of the most popular classes on campus was Andrew Ng’s CS229 machine learning course. Enrollment was frequently too large to fit in the classroom, yet he wanted even more people to be able to master machine learning.
So, working with a few students, he created an online Machine Learning course that could be taken by anyone with an internet connection and a desire to learn. The rest is history. Coursera launched in 2012 with Machine Learning as its flagship title. It was also the platform’s most popular, with almost 5 million enrollments.
This year, to celebrate the course’s 10 year anniversary, DeepLearning.AI and Stanford Online released a successor — the Machine Learning Specialization. Andrew spoke with us about how the new Specialization improves on the original, who should take it, and how it fits into the modern AI builder’s career arc.
Community
Working AI: How an Accomplished Data Scientist Found Job Satisfaction
Kulsoom Abdullah pivoted from network security into a data science role after taking Andrew Ng’s original Introduction to Machine Learning course from Stanford in 2013. A self-described learning addict, she has taken more than 10 online courses, most recently the Deep Learning Specialization. Outside of work, she’s a fitness fanatic, and was the first competitive weightlifter to compete professionally for Pakistan — after winning a fight to change the dress code to allow religious head coverings. On top of all that, she’s a travel
Breaking Into AI
Breaking Into AI: How a Machine Learning Engineer Turns Ideas Into Products
Lorenzo Ostano first encountered machine learning and data science as a business analyst shortly after graduating from college. He dove into learning, and soon landed work as a machine learning engineer. After working several years for a variety of consulting companies, he recently took a job as a software engineer. He spoke to us about why he believes traditional computing skills are important to deploying enterprise machine learning applications.