Training Overview

Become equipped to implement data products in your organisation. You will learn how to apply a use-case driven approach to data products, starting from end-user needs.

Dive into the practical aspects of deploying and managing Large Language Model (LLM) applications with Azure.

Dive into the practical aspects of deploying and managing Large Language Model (LLM) applications with the Google Cloud Platform (GCP).

Discover what MLOps is and how you can apply it in AWS (Amazon Web Services) with our MLOps on AWS training course.

Navigate the landscape of data quality and observability with our Data Quality and Observability training course.

This course empowers you to develop scalable, performant LookML (Looker Modeling Language) models that provide your business users with the standardized, ready-to-use data they need to answer their questions. Upon completing this course, you will be able to start building and maintaining LookML models to curate and manage data in your organization’s Looker instance.

Leverage Looker's modern analytics platform to find and explore relevant content in your organization’s Looker instance, ask questions about your data, create new metrics as needed, and build and share visualizations and dashboards to facilitate data-driven decision-making.

Take a deep dive into Bayesian modeling for application to real-world problems and put PyMC into practice.

Get started with Tableau and build your first dashboard! This Tableau training will launch your Data Analytics journey.

Build up your Data and AI capability and transform data into value with the Analytics for Executives training course.