Course Details
Mastering Azure Machine Learning and DP-100
Data Science
Created On
September 15, 2023Description
Azure Machine Learning is a robust cloud-based platform provided by Microsoft that empowers data scientists, developers, and organizations to build, train, deploy, and manage machine learning models and AI solutions efficiently. It offers a comprehensive suite of tools and services designed to simplify the end-to-end machine learning lifecycle, from data preparation and model development to deployment and monitoring.
Overview
The "Azure Machine Learning DP-100" course is a comprehensive and hands-on training program designed to prepare you for the DP-100 certification exam. Whether you are an aspiring data scientist, machine learning engineer, or AI enthusiast, this course equips you with the knowledge and practical skills needed to excel in the world of Azure-based machine learning.
Features
- Course material
- On demand recorded videos
- Practical exercises
- Quizzes
- Real-world Scenarios
- Collaborative Learning
- Assignments
- • Course completion certificate
What you'll learn
- Azure Machine Learning
- Model Training and Experimentation
- Pipeline Creation
- Model Deployment Strategies
- Data Processing
- Azure Integration
Prerequisites
Curriculum
- 10 modules
Overview of Azure Machine Learning
Azure Machine Learning Workspace
Datastores and Datasets
Compute Resources
Introduction to Notebooks
Data Ingestion and Collection
Data Cleaning and Transformation
Data Labeling
Data Splitting and Sampling
Choosing an Algorithm
Model Training
Hyperparameter Tuning
Automated Machine Learning (AutoML)
Model Evaluation and Selection
Model Deployment Concepts
Deploying Models as Real-time Endpoints
Deploying Models to Azure Kubernetes Service (AKS)
Batch Scoring
Model Monitoring and Logging
Application Insights
Model Retraining and Updating
Azure Machine Learning Experiments
Model Interpretability
1. Understanding the Machine Learning Lifecycle 2. Creating an End-to-End Machine Learning Pipeline 3. Deployment in Production 4. Monitoring and Feedback Loop 5. Model Governance and Compliance
Role-Based Access Control (RBAC)
Azure Policy and Blueprints
Azure Security Center
Data Privacy and Compliance
Azure Data Factory
Azure Databricks
Data Ingestion and Integration
Data Storage and Azure SQL Databases
Reinforcement Learning
Time Series Forecasting
Natural Language Processing (NLP)
Custom Model Deployment
IoT and Edge Deployment
Review of Key Concepts
Practice Tests and Sample Questions
Test-Taking Strategies
Instructors
Skoliko Faculty
- 10 Modules
- 8 Hours
- Data Science
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