Module 3: Train And Evaluate Deep Learning Models

INTRODUCTION – Train And Evaluate Deep Learning Models In this module, you will study basic principles of deep learning and learn how these principles help to understand the development of advanced neural network models. You will learn to build deep neural networks (DNNs) through popular frameworks such as PyTorch and TensorFlow. Parts of the module … Read more

Module 2: Microsoft Azure Fundamental Concepts & Architectural Components

INTRODUCTION – Microsoft Azure Fundamental Concepts & Architectural Components Module features the numerous benefits that a cloud computing service brings: defining the elements, efficiency, scalability, and cost effectiveness among businesses. You will also learn to compare and contrast in differentiating types of cloud computing, such as public, private, hybrid, and among different service models including … Read more

Module 4: General Security & Network Security in Microsoft Azure

INTRODUCTION – General Security & Network Security in Microsoft Azure Learn how to augment the security of workloads with Azure, hosted on-site or in the cloud. Azure will become your companion on virtual exploration through several in-built services designed to keep your network safe, secure, and trusted. In the end, acquire skills to implement solid … Read more

Module 2: Working With Data In Azure Databricks

INTRODUCTION – Working With Data In Azure Databricks Azure Databricks simplifies daily data handling like reading, writing, and querying data. This module manages large datasets and raw formats from different sources. You will learn about the different column-level transformations that can be performed using the DataFrame Column Class in Azure Databricks, such as sorting, filtering, … Read more

Module 3: Exam Preparation Course 2

INTRODUCTION – Exam Preparation Course 2 In this module, you will be reading a thorough review of Course 2, part of the Microsoft Azure Data Scientist Associate specialization. This course is an extension of the knowledge derived from Course 1, as it gives you capabilities to become a data scientist or machine-learning personifier using well-designed … Read more

Module 1: Introduction to Azure Fundamentals

INTRODUCTION – Introduction to Azure Fundamentals skills This module will introduce you to the principles of cloud computing and the Microsoft Azure platform in-depth. The key terms present in this module will take you into the heart of cloud computing’s principles and benefits. Furthermore, this module discusses the steps to be followed for starting up … Read more

Module 2: Build a Cloud Governance Strategy on Microsoft Azure

INTRODUCTION – Build a Cloud Governance Strategy on Microsoft Azure In this module, you will look at how different tools and services will help you form a complete cloud governance strategy. You’ll learn about access policies as well as resource locks and tags – important internal means to help manage and organize your resources. You … Read more

Module 1: Use Automated Machine Learning In Azure Machine Learning

INTRODUCTION – Use Automated Machine Learning In Azure Machine Learning Defining or training a machine learning model has an iterative process that requires heavy time and computing resources. Automated machine learning makes this process easier, faster. In this module, you will examine different types of machine learning models and learn how to take advantage of … Read more

Module 3: Create A Classification Model With Azure Ai

INTRODUCTION – Create A Classification Model With Azure Ai Classification is the supervised machine learning technique used to predict categorical output class labels purely based on trained input data. In this module, you are going to learn how to build classification models using the Azure Machine Learning designer, an extremely easy drag-and-drop interface that simplifies … Read more

Module 4: Create A Clustering Model With Azure Ai

INTRODUCTION – Create A Clustering Model With Azure Ai Explore when clustering is done in an unsupervised manner using different methods for machine learning to classify groups of other entities. These groups always have associated typicalities between them while allowing for pattern or structural identification and derivation from a data set without any pre-classified labels. … Read more