The C3 AI Academy offers learning experiences that enable developers and data scientists to be successful, whatever their level of expertise. The courses expose students to core C3 AI Application Platform concepts and teach them how to build machine learning applications. Short, advanced topic courses allow students to dig deeper into those topics and hone specific skills. Whatever you need to be successful with the C3 AI Application Platform, we have the training to support you.
Join our community to collaborate with others and continually learn how to get the most out of our software. We continually make improvements and add new features based on feedback from users like you on forum. Our community is a forum to share and help each other out with questions. Whether you're new to C3 AI or a seasoned power user, the forum is a great place to post questions and share ideas on a variety of application development, data science, machine learning topics with fellow C3 AI users and the C3 AI team. Our community is a forum to share questions and help each other out with answers.
The C3 AI Developer Blog presents best practices and thought leadership for developers, data scientists, data engineers, and DevOps teams. Come learn from C3 AI's own subject matter experts.
Recent blog posts
April 15, 2023
Optimizing Asset Monitoring with AI: A Data Science Path to Increased Reliability
Data Science solution that provides an accurate and comprehensive view of system risks and enables optimized allocation of precious engineering resources to the highest-risk systems.
Glance through the most cited articles in the Reliability Engineering & System Safety journal [1], you may notice the emergence of data-driven techniques such as function approximation, optimization, search, and planning – a collection of techniques broadly studied under the discipline of artificial intelligence.
Digital Twins - The Foundation of AI-Driven Asset Reliability
With the wide adoption of technologies such as cloud computing, big data, industrial IoT, and artificial intelligence, asset-heavy industries have become increasingly interested in developing digital twins.
Building a Production-Ready Time Series Anomaly Detection Application
Time series — collections of data points indexed and ordered by time — are extensively used in modeling a variety of problems and detecting outliers or anomalies in time series is one of the most impactful applications of machine learning.
