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Machine Learning Essentials – Level 2

Machine Learning

Duration: 2 Days

Description

Machine Learning (ML) is the brain behind business intelligence. Through Machine Learning applications, businesses can better understand the consumer preferences and take smart decisions thus increase their profits. Machine Learning Essentials - Level 2 is a 2 days course for someone with knowledge of Cloud, basics of mathematics & a learning acumen. This course covers basic understanding of Machine Learning, knowledge of various Machine Learning algorithms and understanding problems and applying practical solutions.
Course Objectives
  • To achieve fundamental understanding of what is Machine Learning
  • To understand how is Machine Learning making profound impact in making smart business decisions
  • To gain knowledge of various Machine Learning algorithms, understanding problems and applying practical solutions
  • To get started with Machine Learning
  Who Should Attend
  • Professionals working in various industries who want to formally understand fundamentals of
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Objective

  • To achieve fundamental understanding of what is Machine Learning
  • To understand how is Machine Learning making profound impact in making smart business decisions
  • To gain knowledge of various Machine Learning algorithms, understanding problems and applying practical solutions
  • To get started with Machine Learning

Who Should Attend

  • Professionals working in various industries who want to formally understand fundamentals of Machine Learning
  • Enthusiasts who want to keep pace with the changing technologies

Prerequisites

  • Should have basic knowledge of Cloud platform: preferably Azure
  • Should have basic understanding of mathematics
  • Should have basic programming knowledge: Not mandatory
  • Learning acumen

Course Outline

Day 1:

  • What is Machine Learning?
  • Machine Learning Concepts
  • Fundamentals of Python / R for Machine Learning
  • Data Exploration / Preparation / Cleaning
    Hands-on: Data Exploration, Cleaning & Preparation

Day 2:

  • Regression Analysis (Supervised)
    Hands-on: Predicting Stock Prices with Linear Regression
  • Decision Trees & Random Forest Algorithms (Supervised)
    Hands-on: Decision Tree vs Random Forest in Action
  • Clustering Algorithm (Unsupervised)
    Hands-on: Identifying Anomalies in the Data

Discussion: Industry Impact, Implementation & Advantages

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

arzan

Arzan Amaria
Sr. Solutions Architect – Cloud and IoT

Arzan has more than 9 years of experience in Microsoft infrastructure technology stack, Data Science, Cloud and IoT. He has great amount of experience in deploying Cloud based solutions. He is a multi-cloud professional with exposure to Azure, AWS and other IIoT Cloud platforms like GE Predix and IBM Watson.

As a Cloud Solution Architect at CloudThat, he is an expert at deploying, supporting and managing client infrastructures on Azure. Having core training and consulting experience, he specializes in delivering individual training and corporate training on Azure. He is also engaged in extensive research and development in the field of IoT and Data Science and leads a team for the same. He has delivered trainings on IoT and is currently designing Cloud integrated solutions.

He has been training professionals for various Microsoft partners such as Wipro, HPE, HCL, Infosys, Accenture, TCS and many more in the recent past.

He holds following Certifications:

  • Microsoft Certified Trainer (MCT)
  • CTT+ (Certified Technical Trainer)
  • MCSD: Azure Solutions Architect
  • MCSE (Server Track)
  • MCTS in Machine Learning
  • VCA-DCV (Data Center Virtualization – Associate)
  • Microsoft Certified Specialist with Hyper – V Virtualization
  • AWS Certified Solutions Architect – Associate Level
  • CEH (Certified Ethical Hacker, EC Council University US)
MCT CompTIA Cloud Essentials Microsoft Certified Solutions Developer
MCSE Microsoft Certified Technology Specialist MCTS vmware certified professional data center virtualization
Microsoft Specialist Server Virtualization with Windows Server AWS Solutions Architect Associate Certified Ethical Hacker

Bhavesh Goswami
Co-Founder & CEO

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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:

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

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

Upcoming Batches

Bangalore Enroll
  • 19 Jan, 2019 - 20 Jan, 2019 (Sat - Sun)
  • Quick Inquiry: AI and ML


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