Azure AI meetup in Houston. Automated Machine Learning and Azure Machine Learning. End to end workshop with training and deployment to Azure.

3. Azure AI Platform Capabilities
Domain Specific Pretrained Models
To reduce time to market
Azure
Databricks
Machine
Learning VMs
Popular Frameworks
To build machine learning and deep learning solutions
TensorFlowPyTorch ONNX
Azure Machine
Learning
LanguageSpeech
…
SearchVision
Productive Services
To empower data science and development teams
Powerful Infrastructure
To accelerate deep learning
Scikit-Learn
PyCharm Jupyter
Familiar Data Science Tools
To simplify model development
Visual Studio Code Command line
CPU GPU FPGA
From the Intelligent Cloud to the Intelligent Edge

6. Classified as MicrosoftConfidential
SQL DB
Cosmos DB
Datawarehouse
Data lake
Blob storage
… Prepare Data Build & Train Deploy
Custom AI – Azure Machine Learning
Building your own AI models for Transforming Data into Intelligence

7. Azure Machine Learning service
Bring AI to everyone with an end-to-end, scalable, trusted platform
Built with your needs in mind
Support for open source frameworks
Managed compute
DevOps for machine learning
Simple deployment
Tool agnostic Python SDK
Automated machine learning
Seamlessly integrated with the Azure Portfolio
Boost your data science productivity
Increase your rate of experimentation
Deploy and manage your models everywhere

9. Optimized Databricks Runtime Engine
DATABRICKS I/O SERVERLESS
Collaborative Workspace
Cloud storage
Data warehouses
Hadoop storage
IoT / streaming data
Rest APIs
Machine learning models
BI tools
Data exports
Data warehouses
Azure Databricks
Enhance Productivity
Deploy Production Jobs & Workflows
APACHE SPARK
MULTI-STAGE PIPELINES
DATA ENGINEER
JOB SCHEDULER NOTIFICATION & LOGS
DATA SCIENTIST BUSINESS ANALYST
Build on secure & trusted cloud Scale without limits

13. Azure Automated Machine Learning
‘simplifies’ the creation and selection
of the optimal model

14. Enter data
Define goals
Apply constraints
Output
Automated ML Accelerates Model Development
Input Intelligently test multiple models in parallel
Optimized model

15. Automated ML
Benefits Overview
Azure Automated ML lets you
Automate the exploration process
Use resources more efficiently
Optimize model for desired outcome
Control resource budget
Apply it to different models and learning domains
Pick training frameworks of choice
Visualize all configurations in one place

16. https://aka.ms/automl-adb-labs
https://aka.ms/automl-aznb-pslabs

18. MicrosoftAutomatedMLDifferentiators
Azure Cloud
offering
Is a part of Azure Cloud
Data privacy
no data movement
needed
Integration with
data platforms
ex: PowerBI, SQL,
CosmosDB
Meta-learning
gets better with
customer usage

19. https://docs.microsoft.com/en-
us/azure/machine-learning/service/how-to-configure-auto-train
https://aka.ms/automl-adb-labs
https://aka.ms/automl-aznb-pslabs
https://github.com/Azure/MachineLearningNotebooks/tree/master/how-to-use-azureml
askautomatedml@microsoft.com