Cloud Sprint: Machine Learning & Artificial Intelligence

Steps

• Google Cloud Platform Fundamentals Training: Big Data & Machine Learning:

• • Kickoff workshop.
  • Understand the capabilities of Google Cloud Platform.
  • Discuss several key business cases.
• Identify the proof of concept.
• Outline a plan of action.
• Agile design and implementation of the solution.
• Demonstration of the proof of concept.
• Creation of next steps document.

Requirements

• Clear vision of how you want to evolve your business.
• Ideas how Machine Learning can be of help.
• Interest for Machine Learning and Artifical Intelligence.

Deliverables

• A hands-on understanding of the range of machine learning and AI services and tools provided by Google Cloud Platform.
• AI APIs: ready-to-use, pre-trained models.
• AutoML: a suite of models available to be customized and trained with minimum of effort and machine learning expertise.
• BigQuery ML: the capability in BigQuery that allows users to build and deploy models using standard SQL queries.
• Insights into the methods to develop, implement, and deploy machine learning and AI models in a fast and scalable way.
• Concrete knowledge to start working with machine learning and AI on Google Cloud Platform.
• A working example of how to turn data into predictive insights on Google Cloud Platform.

Audience

• Data engineers, data scientists, data analysts, developers, CTOs, machine learning specialists and ambassadors, looking for in-depth insights in machine learning and applicable AI, offered on Google Cloud.

Duration

• Proof of Concept: 6 days
• Training: 1 day

Pricing

• Proof of Concept: €12.000
• Online training: Free
• Training on-site: €2.000