Founded in 2012, H2O.ai focuses on democratizing AI through comprehensive educational initiatives. The program empowers students and universities with AI and machine learning technologies through their Academic Program, providing tools, training, and resources for both technical and non-technical degree programs.
2 million+
Global community
50%
Fortune 500 clients
170+
Academic partners
Stanford University Partnership
AI Verify Foundation
University of Ontario
Otago Business School
IMDA Singapore Partnership
H2O.ai provides comprehensive career development support through multiple channels. The Academic Program offers access to training materials, datasets, and collaboration opportunities with industry partners. Through partnerships with leading universities and companies, students gain practical experience with industry-standard AI tools. The program's effectiveness is demonstrated through its extensive adoption across Fortune 500 companies and global educational institutions.
70%
Certification pass rate
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they’re here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Data Science and AI Strategy Leader
Andreea Turcu has established herself as a Data Scientist with over 7 years of experience specializing in AI platforms and business transformation. Her expertise lies in translating complex AI concepts into practical business advantages, focusing on creating competitive edges through data-driven solutions. Her perspective that "AI is essentially Economics, turbocharged by data, with a sprinkle of innovation" reflects her practical approach to implementing AI solutions. As a specialist in making AI and Data Science accessible, she develops engaging training programs and integrates machine learning into real-world applications. Her work focuses on bridging the gap between technical AI capabilities and business outcomes, helping organizations navigate the transition to AI-driven operations while maintaining a focus on practical, measurable results. Her approach combines technical expertise with business acumen, enabling organizations to leverage AI effectively for sustainable growth and innovation.
Veteran Software Developer and Data Science Author
Darren Cook has established himself as a versatile technology expert with over 20 years of experience spanning software development, data analysis, and technical direction. His diverse portfolio includes developing financial trading systems, natural language processing solutions, data visualization tools, and PR websites for major global brands. His technical expertise encompasses multiple programming languages including R, C++, PHP, JavaScript, and Python, demonstrating his adaptability across different technology stacks. As an author, he has contributed significantly to the field through two O'Reilly publications, including the comprehensive H2O book, sharing his knowledge with the broader technology community. Currently working at QQ Trend, a data analysis and data products company, he continues to apply his extensive experience in creating innovative data solutions. His career exemplifies the evolution of technology over two decades, from traditional software development to modern data science applications.