analytics DeepLearning.AI

Working AI: How I-Chiao Lin Went From App Developer to AI Engineer

January 18th, 2023 | Working AI

My main responsibility at HTC is developing machine learning features for our virtual reality devices, such as eye tracking. My day-to-day work consists of researching the latest AI technologies and algorithms required to develop new functions and testing those functions on hardware. My team and I work collaboratively, brainstorming to come up with ideas and test them. In the early proposal stage, we put forward plans for target customer groups and adjust our model by considering product specifications.

2022 Pie & AI Ambassador Spotlight: Deepak Sai Pendyala

September 21st, 2022 | Ambassador Spotlight

Pie & AI reaches underserved communities and highlights the importance of data science, artificial intelligence, and machine learning. As an undergrad, I'm always enthusiastic about learning and exploring various technologies. AI and its capabilities caught my eyes right away. As an IoT student ambassador for my college campus, I always aim to connect AI and IoT, making something new out of it. As the event ambassador of DeepLearning.AI, I get the opportunity to network with people from AI and ML backgrounds. I was fortunate to come across the ambassador opportunity and was glad to start organizing events.

Eddy Shyu, Andrew Ng, and Aarti Bagul, who were part of the core team behind the new Machine Learning Specialization from DeepLearning.AI.

Andrew Ng on How His Updated Machine Learning Specialization Can Help You Break Into AI

August 2nd, 2022 | Community

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.

How Deep Learning Helped an IT Manager Find New Career Satisfaction After Age 40

December 23rd, 2021 | Breaking Into AI

Olivier Moulin is an IT manager for a large, multi-national medical technology company who has been working in technology for over 20 years. Early in his career, he made a tough decision to take a high paying job instead of pursuing a Ph.D. He spoke with us about how the Deep Learning Specialization helped him build the confidence to go back

How a New Mother Learned AI During Her Newborn Baby’s Naps

December 23rd, 2021 | Breaking Into AI

Apala Guha is a senior machine learning compiler engineer at Lightmatter, a Boston-area startup. Before that, she was a computer scientist who had always been interested in deep learning. When she quit her previous job at the beginning of 2020 to have a baby, she took advantage of the “time off” to take the Specialization.

How a Mathematician Found Career Satisfaction With Deep Learning

December 23rd, 2021 | Breaking Into AI

Aleksandr Gontcharov is a software engineer at Microsoft. Early in his career, he moved from job to job, but none of them ever felt right. The Deep Learning Specialization helped him find his calling; he was hired for a machine learning role while still taking the courses. He spoke with us about why the Specialization was the spark that put his career in motion.

How an Astrophysicist Decided that Deep Learning Was His True Calling

December 23rd, 2021 | Breaking Into AI

Luciano Darriba is an AI developer living in Buenos Aires, Argentina. In his former life, he was an astrophysicist. This wasn’t fulfilling him, so he took the Deep Learning Specialization in hopes of kickstarting a new trajectory. Less than a year later, he had a new job working at Baufest, a software services company.