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For AI Engineers/Data Scientists: Implementing Enterprise AI course

This unique course that is focussed on AI Engineering / AI for the Enterprise. Created in partnership with H2O.ai , the course uses Open Source technology to work with AI use cases. It is offered online and also in London and Berlin, starting January 2017.

Implementing Enterprise AI course

Implementing Enterprise AI course

Implementing Enterprise AI is a unique and limited edition course that is focussed on AI Engineering / AI for the Enterprise. The course is launched for the first time and has limited spaces.

Created in partnership with H2O.ai , the course uses Open Source technology to work with AI use cases. Successful participants will receive a certificate of completion and also validation of their project from H2O.ai.

To sign up or learn more, email [email protected]

The course covers

  • Design of Enterprise AI
  • Technology foundations of Enterprise AI systems
  • Specific AI use cases
  • Development of AI services
  • Deployment and Business models

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. 
The implementation / development for the course is done using the H2O APIs for R, Python & Spark. 

The course covers the following Enterprise AI Use Cases

  • Healthcare
  • Insurance
  • Adtech
  • Fraud detection
  • Anomaly detection
  • Churn, classification
  • Customer analytics
  • Natural Language Processing, Bots and Virtual Assistants

The course comprises three parts

Section One: Implementing Enterprise AI

  • Introduction
  • Machine learning
  • neural net and deep net
  • NLP
  • Reinforcement learning
  • Bots
  • Implementation in H2O of the use cases above

Section Two: Deploying Enterprise AI
Here, we cover the actual deployment issues for Enterprise AI including

  • Acquiring Data and Training the Algorithm
  • Processing and hardware considerations
  • Business Models - High Performance Computing – Scaling and AI system
  • Costing  an AI system
  • Creating a competitive advantage from AI
  • Industry Barriers for AI

Section Three: Projects  
Enterprise AI project created for AI use cases in teams.

Duration:
Starting Jan 2017 approximately six months (3 months for the content and up to three months for the Project)
Course includes a certificate of completion and also validation of the project from H2O.ai. (Projects will be created in a team)

Course Logistics:

Offered Online  and Offline ( London and Berlin)

When:    Jan 2017
Duration: Approximately six months (including project)
Fees:      contact us

To sign up or learn more, email [email protected]

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