Microsoft Azure Data Scientist Associate (DP-100)-2023

Learn DP-100 and get certified as an Azure Data Scientist

This video series covers the Azure Data Scientist Associate (DP-100). Lessons Covered Include:

Domain 1: Design and prepare a machine learning solution

• 1.0 course intro
• 1.1 prerequisite technology
• 1.2 compute specification workload ml training
• 1.3 create azure ml workspace
• 1.4 explore azure ml workspace
• 1.5 create manage datasets
• 1.6 create compute
• 1.7 monitor compute

Domain 2: Explore data and train models

• 2.1 load transform data
• 2.2 analyze data azure data explorer
• 2.3 azure data explorer demo
• 2.5 use designer
• 2.7 automl azure ml studio
• 2.9 develop with jupyter notebook
• 2.10 develop with visual studio code
• 2.11 train model python sdk

Domain 3: Prepare a model for deployment

• 3.1 configure compute for job run
• 3.2 GitHub to Azure Cloud Shell Feedback Loop
• 3.3 explore open datasets python sdk
• 3.4 explore azure ml cli
• 3.9 describe MLflow model output azure ml studio databricks
• 3.10 mlops mlflow tracking
• 3.11 dbmlops open source mlflow

Domain 4: Deploy and retrain a model

• 4.1 real time and batch deployment
• 4.3 end to end ml databricks mlflow
• 4.4 dbmlops end to end mlops on databricks
• 4.5 using azure open datasets automl
• 4.6 trigger Azure Machine Learning Pipeline GitHub
• 5.0 conclusion

• Manage Azure Resources for Machine Learning
• Run Experiments and Train Models
• Deploy and Operationalize Machine Learning Solutions
• Implement Responsible Machine Learning

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• Zero to One: AWS Lambda with SAM and Python in One Hour
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• Python Bootcamp for Data
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