Some researchers will bring state of the art ML models or wish to utilize the C3 cloud computing platform for some or all of their compute necessities. This level teaches users how to fully leverage the C3 platform including ML methods, Jobs for large-scale data processing, and development of real time data analytics and UIs.
Pros:
- Share Data and Methods through C3 packages
- Define custom types and integrate new data into the C3 Datalake.
- Researchers can bring state of the art workflows close to the COVID-19 Datalake.
- Build real-time data analytics and UIs to showcase your research results.
Cons:
- C3 credentials, tenant/tag are required.
- In some cases, lengthy training and interaction with the DTI team will be necessary to facilitate some use cases
Getting Started
Please see the DTI Readiness checklist. If you pass the checklist, you're ready to start learning!
Training Curriculum
This DTI curated training curriculum gives you everything you need to create your own C3 packages and integrate your data into the C3.ai platform. Additionally, links to appropriate official C3.ai Documentation and Videos are dispersed throughout the DTI curated guides.
Background on the C3 AI Suite
DTI offers a consolidated curriculum to learn all C3 AI Suite basics as the Level 3 training curriculum. Please complete it here: Level 3: Define and use C3 Types to Integrate Data
Level 4 Guides
- DTI Guide to Python in the C3 AI Suite
- Learn necessary details of how Python methods are run within the C3 AI Suite.
- DTI Guide to Machine Learning on C3
- Basics about the C3 Machine Learning pipeline system. This Guide also discusses how to use several implementations of the Machine Learning Pipeline.
Optional Resources/Training:
Worked Examples:
- mnistExercise: https://github.com/c3aidti/mnistExample