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Perform Cloud Data Science with Microsoft Azure Machine Learning: 70-774 BootCamp

Machine Learning

Duration: 2 Days

Description

Perform Cloud Data Science with Azure Machine Learning: 70-774 course is for someone with basic knowledge of Machine Learning concepts. Machine Learning is the brain behind Business Intelligence. Through Machine Learning Applications, businesses can better understand the consumer’s preferences and take smart decisions thus increase their profits. This course focuses on running Machine Learning experiments on Azure Platform.

Benefits of Perform Cloud Data Science with Azure Machine Learning: 70-774 Certification

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Objective

  • To achieve in-depth understanding of Machine Learning experimentation on Azure Platform
  • To gain knowledge of various Machine Learning algorithms, understanding problems and applying practical solutions
  • To get certified in 70-774 Certification from Microsoft

Who Should Attend

  • Professionals working in various industries who want to formally get certified on Perform Cloud Data Science with Azure Machine Learning: 70-774
  • Machine Learning and Azure enthusiast

Prerequisites

Course Outline

Day 1:

  • Preparing / Exploring Data for Analysis in Azure Machine
    • Import and Export Data
    • Explore and Create Summarize
    • Cleaning Data
    • Perform Feature Engineering

    Hands-on: Data Exploration, Cleaning & Preparation

  • Develop Machine Learning Models
    • Selecting an Appropriate Algorithm / Method
    • Initialize and Train Appropriate Models
    • Validate Models

    Hands-on: Azure Machine Learning Algorithms in Action

Day 2:

  • Operationalize and Manage Azure Machine Learning Services
    • Deploy Models using Azure Machine Learning
    • Consume Azure Machine Learning Models
    • Cognitive Services APIs

    Hands-on: Deploying and Consuming Azure Machine Learning Model

  • Use Other Services for Machine Learning
    • Build and Use Neural Networks with the Microsoft Cognitive Toolkit
    • Perform Data Sciences at Scale by using HDInsights
    • Database Analytics by using SQL Server R Services

    Hands-on: Machine Learning Experiments with Microsoft Cognitive Toolkit

About the Trainer

Shivam Sharma

Shivam Sharma
Subject Matter Expert

Shivam works as Subject Matter Expert with CloudThat Technologies and is passionate about ever evolving technologies he works on like Machine Learning, Azure and Blockchain.

He architect’s solutions on Cloud as well On-Premises using wide array of platforms / technologies. Having core training and consulting experience, he is involved in delivering Machine Learning, Azure and Blockchain training to corporates like BCG, Microsoft, Intuit, RedHat, VMWare, HCL, GE, Applied Materials, Dell, Infosys, IBM, Schneider, L&T, TCS, Capgemini, Mercedes-Benz, Oracle, HP, Wipro, Colt, Cipla and Mindtree, etc.

He works on projects offering learning and understanding in the fields of Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Big Data Analytics and Data Visualization. He is also a Microsoft Certified Trainer, Microsoft certified solution expert for cloud platform and infrastructure, Microsoft certified solution associate for Machine Learning, Microsoft certified solution developer for azure platform.

He holds following Certifications:

  • Microsoft Certified Trainer (MCT)
  • Microsoft Certified Solutions Expert – Cloud Platform and Infrastructure
  • Microsoft Certified Solutions Associate – Machine Learning
  • Microsoft Certified Solutions Developer – Azure
  • Microsoft Specialist: Developing Microsoft Azure Solutions (70-532)
  • Microsoft Specialist: Implementing Microsoft Azure Infrastructure Solutions (70-533)
  • Microsoft Specialist: Architecting Microsoft Azure Solutions (70-534) (2016)
  • Microsoft Specialist: Architecting Microsoft Azure Solutions (70-535) (2018)
  • Exam 773 – Analyzing Big Data with Microsoft R
  • Exam 774 – Perform Cloud Data Science with Azure Machine Learning
  • Exam 776 – Perform Big Data Engineering on Microsoft Cloud Services
MCT MCSE MCSA Machine Learning
MCSD Azure 532 Developer 533 Infrastructure
534 Architect 535 Architect 773 Big Data with Microsoft R
Perform Cloud Data Science 776 Big Data  Engineering

Bhavesh Goswami2204524-12
Co-Founder & CEO

Bhavesh Goswami the Co-Founder & CEO of CloudThat Technologies, is a leading expert in Cloud Computing space with over a decade of experience. He was in the initial development team of Amazon Simple Storage Service (S3) at Amazon Web Services (AWS) in Seattle. He honed his Cloud Computing skills at Amazon where he helped ship the first version of S3 in 2006. Later he moved to Microsoft after over three years at Amazon to take up the challenge to help manage Cosmos, the Cloud storage and Big Data computational engine that powers all of the Microsoft’s Online Services, including Bing.

After living in the USA for over 10 years, he came to India in search of a challenge and Co-Founded CloudThat Technologies. He has personally trained over thousands of people on various Cloud technologies like AWS, Microsoft Azure, Google App Engine and more since early 2012.

Bhavesh has spoken at various Cloud and Big Data conferences and events like ‘7th Cloud Computing & Big Data’ and have been the Key Note Speaker at ‘International Conference on Computer Communication and Informatics’. He has authored numerous research papers and patents in various fields. He is passionate about technology and keeps the company up to date on latest Cloud technologies & market trends.

He holds following Certifications:

  • MCT (Microsoft Certified Trainer)
  • MCSD (Microsoft Certified Solutions Developer)
  • AWS Certified Solutions Architect – Professional Level
  • AWS Certified DevOps Engineer – Professional Level

AWS Solutions Architect Professional AWS DevOps Engineer Professional
Microsft Certified Trainer Microsft Certified Solutions Deveoper

Other Details

Questions?

For latest batch dates, fees, location and general inquiries, contact our sales team at: +91 8880002200 or email at sales@cloudthat.in

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