Microsoft Big Data Scientist and Artificial Intelligence

"Success is walking from failure to failure with no loss of enthusiasm." Winston Churchill

Tracks:

• Data Science
• Artificial Intelligence
• Big Data
• AutoML

Azure Data Scientist

https://docs.microsoft.com/en-us/learn/roles/data-scientist

Machine learning for data scientists

https://azure.microsoft.com/en-us/overview/ai-platform/data-scientist-resources/

Artificial intelligence for developers

https://azure.microsoft.com/en-us/overview/ai-platform/dev-resources/

Azure Architecture Center

https://docs.microsoft.com/en-us/azure/architecture/

Sample Codes

Tool	Sample Codes
Azure ML	Sample Codes AML
R	Sample Codes with R
Python	Sample Codes with Python
CustomVision.ai	Workshop to build a Social Distance Image Detector using Microsoft Customvision.ai (AI/ML) and Microsoft PowerApps
Azure Databricks (Spark)	Videos and Sample Codes Azure Databricks
Cognitive Services	Sample Codes Cognitive Services
Multiple tools	COVID-19 Forecast Hub
Azure Data Lake	Sample Codes Azure Data Lake
Azure Cosmos DB	Sample Codes Azure Cosmos DB
Azure HDInsight	Sample Codes Azure HDInsight
Azure SQL DW	Azure SQL DW Demo
ONNX Tutorials	ONNX Tutorials
Azure ML	Forecasting Best Practices & Examples
Azure ML	Computer Vision Best Practices & Examples
Azure ML	Natural Language Processing Best Practices & Examples
Azure ML	Many Models Solution Accelerator

AutoML Sample Codes

Tool	Sample Codes
AutoML H2o.ai	AutoML H2o
Microsoft AutoML	Microsoft AutoML
Microsoft AML	Tutorial: Use automated machine learning to predict taxi fares

Azure Open Datasets

https://docs.microsoft.com/en-gb/azure/open-datasets/
https://github.com/Azure/OpenDatasetsNotebooks/

Machine Learning Open dataset

https://github.com/caiomsouza/ml-open-datasets
https://github.com/awesomedata/awesome-public-datasets

The Data Science Lifecycle Process

https://github.com/dslp/dslp

The Team Data Science Process lifecycle

https://docs.microsoft.com/en-us/azure/machine-learning/team-data-science-process/lifecycle

Machine Learning Model Management

Tool	Link
MLFlow	MLFlow

Microsoft AI

Tool	Link
CustomVision	CustomVision
Bonsai	Bonsai

How to start

Data Science
Opportunities for data scientists—one of today's hottest jobs—are rapidly growing in response to the exponential amounts of data being captured and analyzed. Companies hire data scientists to find insights and to solve meaningful business problems.

Microsoft Professional Program for Data Science
https://academy.microsoft.com/en-US/professional-program/tracks/data-science/

Technologies you will use to gain your skills:
T-SQL, Microsoft Excel, Power BI, Python, R, Azure Machine Learning, HDInsight, Spark

Artificial Intelligence
Artificial Intelligence (AI) will define the next generation of software solutions. Human-like capabilities such as understanding natural language, speech, vision, and making inferences from knowledge will extend software beyond the app.

Microsoft Professional Program for Artificial Intelligence
https://academy.microsoft.com/en-US/professional-program/tracks/artificial-intelligence/

Technologies you will use to gain your skills:
Python, Math Ethics, Data Analysis, Azure Machine Learning, Computer Vision, Natural Language Processing, Speech Recognition

Big Data
Learn how to build big data solutions for batch and real-time stream processing using Azure managed services and open source systems like Hadoop and Spark. This curriculum will teach you the skills required to capture, process, and analyse data for today’s data-driven world.

Microsoft Professional Program for Big Data
https://academy.microsoft.com/en-US/professional-program/tracks/big-data/

Technologies you will use to gain your skills:
Azure Data Lake, Hadoop, HDInsight, Spark, Azure data factory, Azure Stream Analytics

Microsoft Certifications

Perform Cloud Data Science with Azure Machine Learning
https://www.microsoft.com/en-us/learning/exam-70-774.aspx

MCSA: Machine Learning
https://www.microsoft.com/en-us/learning/mcsa-machine-learning.aspx

Videos

Building a Modern Data Warehouse on Microsoft Azure with Azure HDInsight and Azure Databricks
https://www.youtube.com/watch?v=w40JF_Qu5Nw

Offline data transfer

The Azure Data Box family lets you transfer hundreds of terabytes of data to Azure in a quick, inexpensive, and reliable manner. Use the Data Box devices for offline data transfer when you are limited by time, network, or cost. https://docs.microsoft.com/en-us/azure/databox/

Microsoft Azure Well-Architected Framework

https://docs.microsoft.com/en-us/azure/architecture/framework/

GITHUB CLI

https://cli.github.com/