This course has four modules. In the first module, you will be able to set up an Azure Machine Learning Workspace.
You have to appear for the exam named ‘Designing and Implementing a Data Science Solution on Azure’ to become a ‘Microsoft Certified: Azure Data Scientist Associate’. This exam will validate your skill on
Setting up an Azure Machine Learning workspace.
How well you can experiment and train models.
How efficiently you can optimize and manage models, and
How effectively you can deploy and consume models.
This course has four modules. In the first module, you will be able to set up an Azure Machine Learning Workspace. Here, you will learn to manage data objects and experiment compute contexts.
The next module focuses on executing Experiments and Train Models. In this module, you will learn to create models and run training scripts in Azure Machine Learning Workspace.
Here, you will also learn to generate metrics from an experiment run. The second last module of this course is all about Optimizing and Managing Models.
Here, you will learn to use automated ML, use hyperdrive to tune hyperparameters, and use model explainers to interpret models. The last module of this training course is all about Deploy and Consume Models.
This module will provide you with the required knowledge on how to deploy a model as a service, create a pipeline for batch inferencing, and publish a designer pipeline as a web service.
Prerequisites
This course has no specific prerequisites.
It is ideal if you have adequate knowledge of Microsoft Azure, Machine Learning, and Data Science.
You are expected to have fluency in at least one or more high-level programming languages.
What will you gain after this course
You will be recognized as a Microsoft Certified: Azure Data Scientist Associate
This course will let you learn more details about Data Science
You will be able to earn a wide array of knowledge and skill on AI and ML through this course.
You can expand your job opportunities with the help of this certification.
Welcome to the London IT Training (LIT). As one of London’s leading IT Training organisation we specialise in the design, delivery and evaluation of a wide range of IT and Professional Development training programmes to ensure we meet the needs of both the organisation and individuals.
We offer a spectrum of courses that have been designed by experts to give you the most sought after IT skills within the UK jobs market. Each of our course paths deliver multiple industry accredited qualifications that are highly valued by employers.
This means that you are not just getting a course; you are getting the opportunity to have a whole new career in IT.All courses provided by LIT are innovatively developed with a practical, industry relevant focus. An integral part of our training provision, is a personal and professional development stream, running parallel to academic studies.
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At London IT Training, we offer career focused professional certification training that helps the students to achieve the real working experience. Our training is focused specifically on hands on practical approach.
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The Microsoft Azure Certification training provides knowledge to the delegates related to the concepts of Microsoft Azure. The training helps the delegates to perform effectively several tasks in the capacity of the administrator and developer.
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As an official Microsoft Partner, Nexus Human can bring you a wide choice of Azure training courses and certifications. Our Microsoft instructors bring their passion and experience to the online classroom for you to enjoy and learn from.
This one-day course will provide foundational level knowledge on Azure concepts; core Azure services; core solutions and management tools; general security and network security; governance, privacy, and compliance features;
The Azure Fundamentals course provides basic knowledge and skills to the delegates to evaluate Microsoft Azure in their organizations. The course explains how to implement the principles of cloud computing in Microsoft Azure and core Azure infrastructure comprising storage and virtual networks.
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