Implementing Enterprise AI course using TensorFlow and Keras
The course is for developers and architects who want to transition their career to Enterprise AI, but also has strategic (non-coding) version. The course starts in Jan 2018 and will take 3 months for the content and up to 3 months for the team project.
Switch your career to Artificial Intelligence (AI) in 2018 through this unique and limited-edition course focussed on AI for the Enterprise.
The Implementing Enterprise AI course covers
- Design of Enterprise AI services
- Technology foundations of Enterprise AI systems
- Specific AI use cases
- Development of AI services using TensorFlow and Keras
- Deployment and Business models
We use TensorFlow and Keras. We also cover deployment models using Microservices, Docker and Kubernetes.
- The course targets developers and architects who want to transition their career to Enterprise AI. The course correlates the new AI ideas with familiar concepts like ERP, Data warehousing etc and helps to make the transition easier. The course is based on a logical concept called an 'Enterprise AI layer'. This AI layer is focused on solving domain specific problems for an Enterprise. We could see such a layer as an extension to the Data Warehouse or the ERP system (an Intelligent Data Warehouse/ Cognitive ERP system). Thus, the approach provides tangible and practical benefits for the Enterprise with a clear business model.
- See link below for references from previous courses
- Duration: Starting Jan 2018 Approximately six months (3 months for the content and up to three months for the Project)
- Course includes a certificate of completion for projects (Projects will be created in a team and will use the code base provided in Keras)
- The course covers the Enterprise AI Use Cases like Insurance, Fraud detection, Anomaly detection, Churn, Classification, Customer analytics, etc
- We also have a strategic(non-coding) based version of the course.
- Delivery format is via video and online sessions (once every two weeks)
- For pricing please contact us below
Please contact us to sign up or to know more [email protected]
For more details, please see HERE