22-25 April 2026 
Robin Lester
Robin Lester is a Cloud Solution Architect at Microsoft working in Global Partner Solutions (GPS) to help partners bring Data and AI solution to market. With over 20 years in the industry, specializing in Machine Learning technologies, databases and data warehouses.
Robin Lester's Training Days
From Data Developer to Data Scientist in one daySQLBits 2018
Organisations are increasingly looking to ML to gain competitive advantage. You may have already heard terminology such as decision Trees, deep neural networks etc. This day will walk you through everything you need to understand Advanced Analytics
Microsoft Azure Data Lake and U-SQL Deep Dive (hands on)SQLBits 2016
This seminar will give you an introduction to Azure Data Lake all up, including the Azure Data Lake Storage service and then go deeper into Azure Data Lake Analytics and U-SQL.
Robin Lester's Sessions
CANCELLED - Slaying Machine Learning with BuffySQLBits 2023
Creating a new episode of Buffy the Vampire slayer with Azure Machine Learning
How to Run a Successful AI ProjectSQLBits 2022
In this short session we will go through the pitfalls, lessons learnt and best practices when building your AI consultancy practice.
Ethics and Bias in data scienceSQLBits 2020
How to understand where bias lies, how to collect data and the impact of bias and ethical considerations in your data science solutions.
Azure Machine Learning and the Python SDKSQLBits 2020
Understand how to create, train and operationalize your data science projects in Azure Machine Learning.
An Introduction to AI on AzureSQLBits 2019
Within Azure we have a rich ecosystem of AI services that can be leveraged to gain new insights into your data. This session will give you an easy to digest breakdown of the key services that matter and how to approach each one. Cognitive Services, Bot Framework, Azure Machine Learning Studio, Databricks, Notebooks, the Azure ML SDK for Python and the Azure ML Service
Using SQL Server and Azure SQL Database for ML workloadsSQLBits 2019
Ever wondered how you can add the power of ML to your existing SQL estate without the need to invest in new services? Come to this session to learn about running Python and R workloads in SQL, the PREDICT function, and how to operationalise models in Azure SQL Database
Azure SQL Data Warehouse Optimizing and MaintainingSQLBits 2018
In this talk we will discuss best practices around how to design and maintain an Azure SQL Data Warehouse for best throughput and query performance.
Find and remove bias in your ML Projects using model interpretability and Fairlearn in AzureSQLBits 2022
n this session we will look at tooling that can be leveraged to not only better understand your models but also offer new ways to train more ethically sound models.
How to do AI without a PHDSQLBits 2022
In this introductory session we will go through the ‘off the shelf’ AI tooling that is available to you in Azure.
How to Run a Successful AI ProjectSQLBits 2022
In this short session we will go through the pitfalls, lessons learnt and best practices when building your AI consultancy practice.
Low cost high value data warehousing with Azure Synapse and Azure DatalakeSQLBits 2022
Learn how to design and build a low-cost logical data warehouse using Azure Synapse
Slaying Machine Learning with BuffySQLBits 2022
Creating, evaluating and showcasing a new Buffy the Vampire Slayer episode using Natural Language Processing on Microsoft Azure
Ethics and Bias in data scienceSQLBits 2020
How to understand where bias lies, how to collect data and the impact of bias and ethical considerations in your data science solutions.
Azure Machine Learning and the Python SDKSQLBits 2020
Understand how to create, train and operationalize your data science projects in Azure Machine Learning.
An Introduction to AI on AzureSQLBits 2019
Within Azure we have a rich ecosystem of AI services that can be leveraged to gain new insights into your data. This session will give you an easy to digest breakdown of the key services that matter and how to approach each one. Cognitive Services, Bot Framework, Azure Machine Learning Studio, Databricks, Notebooks, the Azure ML SDK for Python and the Azure ML Service
Using SQL Server and Azure SQL Database for ML workloadsSQLBits 2019
Ever wondered how you can add the power of ML to your existing SQL estate without the need to invest in new services? Come to this session to learn about running Python and R workloads in SQL, the PREDICT function, and how to operationalise models in Azure SQL Database
Azure SQL Data Warehouse Optimizing and MaintainingSQLBits 2018
In this talk we will discuss best practices around how to design and maintain an Azure SQL Data Warehouse for best throughput and query performance.