INTRODUCTION – Exam Preparation Course 5 In this module, you will gain an understanding of the core concepts’ weighting and how to assess your skills in preparation for the full practice exam. You will also receive guidance on scheduling your certification exam, ensuring you’re well-prepared for the steps necessary to achieve your certification. The goal … Read more
INTRODUCTION – EXAM PREPARATION COURSE 3 In this module revisits course 3 content from the Microsoft Azure Data Scientist Associate specialization. The module aims at revisiting all significant aspects, techniques, and instruments used by data science professionals in the Azure environment. By the time you are done with this material, your practical application and understanding … Read more
INTRODUCTION – Work With Data And Compute In Azure Machine Learning Data is the lifeblood of machine learning; these inputs are important in the derivation of accurate models. In this module, one learns how to use datastores and datasets in Azure Machine Learning and therefore creates scalable, cloud-based model training solutions. Furthermore, by the end … Read more
INTRODUCTION – Exam Preparation Course 4 In this module, you are going to be introduced to the detailed view of Course 4 in Microsoft Azure Data Scientist Associate specialization. This section aims to re-enforce and widen the understanding of what has been learned in course-related advanced topics which are more practical, and revisiting key concepts, … Read more
INTRODUCTION – Use The Azure Machine Learning SDK To Train A Model Doing so, you will learn to provision and use an Azure Machine Learning workspace in this module. By immersing yourself in different tools and interfaces, you will conduct code-based experiments in the workspace. At the end of this module, you will have learned … Read more
INTRODUCTION – Orchestrate Pipelines And Deploy Real-Time Machine Learning Services With Azure Machine Learning This will also be setting up practice pipelines to enable DevOps around machine learning workflows. In this module, you’ll learn how to create, publish, and run pipelines for training models with Azure Machine Learning. You will already have learned how to … Read more
INTRODUCTION – Deploy Batch Inference Pipelines And Tune Hyperparameters With Azure Machine Learning Predictive modeling through batch processing of large data sets is the mainstay of machine learning models. In this module, learn using Azure Machine Learning to publish a batch inference pipeline for trimming extensive batch prediction errands. Perform massive cloud-scale experimentation with the … Read more
INTRODUCTION – Select Models And Protect Sensitive Data In this module, you’ll learn to utilize automated machine learning in Azure Machine Learning to fit the best model for the best data. You’ll study differential privacy, which is an advanced method that produces useful observations while hiding value information which could otherwise uniquely identify a person. … Read more
INTRODUCTION – Monitor Machine Learning Deployments Biases present in machine learning models may lead them to give biased results. This module will cover how you can apply Fairlearn and Azure Machine Learning to discover and reduce these biases in your models. You will also learn to employ telemetry for assessing the performance of models after … Read more
INTRODUCTION – Introduction To Azure Databricks In this session, you will get to know the efficacious functionalities of Azure Databricks or an Apache Spark Notebook to run large datasets. This module will make you aware of the Azure Databricks platform and help you classify which types of tasks are well done by Apache Spark. It … Read more