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I started my journey in Machine Learning and Deep Learning with Professor Andrew Ng’s Coursera courses. Without these courses, I would probably have zero knowledge in this field. Being a part of this community allowed me to access valuable resources and courses. It also provided a supportive network of peers who shared my passion for AI. As I continued to learn and grow, I found myself increasingly engaged in organizing events, workshops, and discussions to help others navigate the complexities of deep learning.

I want to assist my community of young Africans to be in the know about cutting-edge technologies. The DeepLearning AI Event Ambassador role has given me so many opportunities within the technology and AI community. I have been able to connect with like-minded individuals from across the globe. As a STEM educator, I believe that now is the time for many young Africans to exponentially grow their acquisition of digital skills. AI will feed into every aspect of our lives, and DeepLearning AI is the right place to get started.

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

I’m currently a machine learning professional and have been working in Silicon Valley for about 15 years. I’ve been with big companies, like Amazon Web Services and Apple, and startups focused on data labeling and machine learning.

I have been interested in AI for Good-type work for the majority of my career. Almost 20 years ago, a good friend of mine lost a child to SIDS (sudden infant death syndrome). As a result, I started volunteering with Seattle Children’s Hospital, helping to understand the causes and preventative steps that could be taken to reduce the risk of SIDS. This volunteer engagement led to the opportunity to create the Microsoft AI for Good Lab. I could have never imagined the scope and scale of the work we’re fortunate to do today. From improving health outcomes to biodiversity conservation and humanitarian response, the relevance and need for AI in every sector has never been more pronounced.

During my time as a PhD student, I realized that my biggest professional and personal interests are artificial intelligence and community building. As a PhD student in astronomy, I used to organize communities for astronomy enthusiasts, bringing together scientists, amateur astronomers, and astrophotographers to connect and learn from each other. And, since my research required knowledge of deep learning algorithms, I completed the courses on deep learning and TensorFlow from Deeplearning.AI and subscribed to the newsletter.  During that time, I realized that my biggest professional and personal interests are artificial intelligence and community building.

I joined the Deeplearning.AI community as an event ambassador because my primary goal is to help promote the community and its events and to provide information and assistance to those who are interested in learning more about deep learning and AI. I noticed that a lot of students and professionals want to get into tech, and that inspired me to help them. I am passionate about building the Deeplearning.AI community in Nigeria.

Being an Event Ambassador for the DeepLearning.AI community provides an opportunity to play a crucial role in bridging the gap between academia, industry, and enthusiasts. It offers me a platform to share the knowledge, experience, and insights I’ve gained from pursuing my Master’s degree in data science.

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.