Stories about starting a career in AI and deep learning from members of the global AI community | Inspiration and ideas for how you can break into AI
Collection of 21 PostsRecently, I completed the short course AI Python for Beginners by DeepLearning.AI, taught by Andrew Ng. I am not a programmer, so I was thrilled when immediately after completing the first course in the sequence — which took about an hour — I managed to create my first program in Python.
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.
Matt Struble is an engineer at a sportswear company, where he currently leads a team that’s developing a deep learning system for predicting shoe trends a year or two into the future. Before taking the Deep Learning Specialization, he was a computer programmer who watched data scientists from afar.
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
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.
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.
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.
Kennedy Kamande Wangari got his first taste of AI just two years ago in Kenya. Since then, he has been sprinting towards a top-tier career by taking numerous online courses, working entry-level jobs, volunteering to grow his local AI community, and considering a startup. Next step: Earning a graduate degree. Kennedy shares lessons he learned from starting out at a breakneck pace and explains how he balances professional obligations with personal life.
[et_pb_section][et_pb_row][et_pb_column type=”4_4″][et_pb_text] After a decade in the wireless communications industry, Cherif was ready for a change. As he gained expertise at Palm and Apple, he kept a close eye on the rise of deep…
Searching for more information, I stumbled upon the Deep Learning Specialization. I wasn’t sure how far I’d go, but after taking the first course in the Specialization, I was completely hooked. For the next 7 months, I ate courses for breakfast, lunch and dinner.
Nitin pushed the limits of his software engineering skills to build important products, but he knew he needed to learn more. After taking the Deep Learning Specialization, he specifically applied to jobs that would allow him to transition from web performance to machine learning engineer.
