Andrew Ng persuaded me that AI is the new electricity. We are plunging into the fourth industrial revolution, and as a professional educator I need to prepare my students to contribute to, and compete in, the new economic landscape unfolding before us. As an organization, what DeepLearning.AI cares about most is sharing knowledge about this remarkable technology, which makes it a rare organization in a sector marked by sensational corporate profits and enormous societal costs.

Python is the de facto programming language of the AI community. It’s easy to learn, and writing programs is a snap once you are proficient.  Thanks in large part to its open source libraries, Python…

Coding is a must-have skill for anyone building AI products. It enables you to bring your machine learning ideas to life. Learning to code is fun and empowering, but it also requires time and effort….

Gerry Fernando Patia leads AI infrastructure projects at Robinhood, an online platform for investors. Having emigrated from Indonesia and attended a lesser-known U.S. university, he didn’t find it easy to break into AI. He spoke…

AI can seem like a dream profession: Machine learning engineers and data scientists are in-demand and well paid. On top of that, many find the day-to-day work of building models, tuning algorithms, and analyzing data to be deeply satisfying. But the field is also competitive and fast-paced. Job seekers, especially those early in their careers, are often confused about the best way to get hired.

Luis is a lifelong mathematician and a machine learning scientist by trade. He has taught courses on probability at Université du Québec à Montréal and the University of Michigan, built algorithms for Google, taught AI at Apple, and currently works on language models for Cohere. His YouTube channel, Serrano Academy, is known for its approachable, bite-sized explanations of a variety of math and machine learning topics. And somewhere amid all of that, he found time to write a book: Grokking Machine Learning. 

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.

I joined the DeepLearning AI Community because here in El Salvador, there were not many communities that talked about this topic, nor is it taught in our universities. I saw that DeepLearning.AI could help me to spread knowledge and connect with people interested in this field. 

I felt that DeepLearning.AI is a great platform to share the work of Singapore’s AI researchers and students and also to help them connect with the wider global community. Furthermore, with new exciting developments happening almost on a daily basis in the field of AI and Data Science, the DeepLearning.AI community offers a convenient and effective channel for us to learn from each other.

I realized how deeply ingrained AI is in our everyday lives. Most people may not be aware of that, hence I wanted to bring that awareness and knowledge to them. By becoming an event ambassador, I am able to help spread AI awareness to others, as well as continue to learn from the AI experts who I host for the panel discussions. It amazes me how much people in the larger community are hungry to learn and how much appetite for AI there is out there.

I am a Data Scientist specializing in Space Systems Engineering. Part of my work is done at the European Space Agency. My job is to make space design and operations better with machine learning. For instance, developing anomaly detection systems to alert spacecraft operators about an abnormal satellite behavior. I also work on forecasting models, such as to predict the onboard power consumption, the temperatures of different equipment on the satellite, or to predict the remaining useful life of components. Other applications relate to natural language processing (NLP), such as question answering systems to help space systems engineers or flight control teams to gain quicker access to reliable technical information.

Sahar Nasiri talks about her early interview struggles, finding her first job, and the value of understanding statistics.

I first attended a Pie & AI event organized by David Quintanilla, an AI ambassador here in San Salvador, and he explained what Deeplearning.AI and Pie & AI are. I liked the idea of becoming an ambassador because I’m a content creator and the role would help me improve the quality of my content. I was also interested because it would help me meet more people around the globe who are passionate about software development.

I wanted the Oceania region to be abreast of the latest developments from DeepLearning.AI and make AI knowledge available and easily accessible for the event attendees. Being geographically quite far away from the rest of the world, sometimes it becomes a challenge to keep up to date with the latest developments in AI. I wanted to play a small part in it by connecting AI enthusiasts and specialists from Oceania to the rest of the world.

Joining the DeepLearning.AI Ambassador community was one of the best things I did in the early days of my AI learning journey. The events I hosted made a big impact not only on me, but on other people as well. I sometimes meet people who tell me that events I hosted helped them to make a career in AI. The other day on campus, I met someone who told me that he chose to major in machine learning after watching the event I hosted with Santiago Valdarrama. 

Jagriti Agrawal helped design autonomous systems for NASA’s Perseverance rover. Now she is the co-founder of her own company, Kira Learning.

I have always been active in organizing research seminars and events in my local setting, but I wanted to extend these activities to a global audience to achieve more diversity. Pie & AI events in a hybrid setting (local + virtual) seemed like the perfect way to do so.

I am the CTO and co-founder of Marvik, a software development firm specialized in machine learning. We help companies identify opportunities to leverage their data. I love the challenge of solving problems that no one else has solved before.

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.

Since 2019, Pie & AI ambassadors have hosted over 700 events. Each year we celebrate their efforts.