31
Big Data and Data Science Master’s Course 1 | Page Big Data and Data Science Master’s Course In Collaboration with IBM | Microsoft

Big Data and Data Science · In this program, we will cover 20 courses and 56 industry-based projects. Big Data and Data Science Master’s Course 4 | P a g e Collaborating with IBM

  • Upload
    others

  • View
    1

  • Download
    0

Embed Size (px)

Citation preview

  • Big Data and Data Science Master’s Course 1 | P a g e

    Big Data and Data Science

    Master’s Course

    In Collaboration with IBM | Microsoft

  • Big Data and Data Science Master’s Course 2 | P a g e

    Table of Contents

    1. About the Program

    2. Collaborating with IBM

    3. Collaborating with Microsoft

    4. About Intellipaat

    5. Key Features

    6. Career Support

    7. Why take up this course?

    8. Who should take up this course?

    9. Learning Path

    10. Course Advisors

    11. Program Curriculum

    12. Self-paced Courses

    13. Project Work

    14. Certification

    15. Intellipaat Success Stories

    16. Contact Us

  • Big Data and Data Science Master’s Course 3 | P a g e

    About the Program

    Our Big Data and Data Science master’s course lets you gain proficiency in Big Data and

    Data Science. You will work on real-world projects in Hadoop Dev, Admin, Test, and

    Analysis, Apache Spark, Scala, AWS, Tableau, Artificial Intelligence, Deep Learning,

    Python for Data Science, SAS, R, Splunk Developer and Admin, NoSQL databases, and

    more. In this program, we will cover 20 courses and 56 industry-based projects.

  • Big Data and Data Science Master’s Course 4 | P a g e

    Collaborating with IBM

    IBM is one of the leading innovators and the biggest player in creating innovative tools for

    Big Data Analytics. Top subject matter experts from IBM will share knowledge in the

    domains of Analytics and Big Data through this training program, which will help you gain

    the breadth of knowledge and industry experience.

    Benefits for students from IBM

    Industry-recognized IBM certificate

    Access to IBM Watson for hands-on training and practice

    Industry in-line case studies and project work

    Collaborating with Microsoft

    Microsoft is one of the largest organizations in terms of inventing creative tools for various

    purposes inclined to Big Data Analytics. Experts from Microsoft and other top MNCs will

    offer you their understanding and knowledge in this field through this online certification.

    Moreover, you will also get deep insights into the concepts and gain hands-on experience

    by working on industry-specified assignments.

    Benefits for students from Microsoft:

    Industry-recognized Microsoft certification

    Real-time projects and exercises

  • Big Data and Data Science Master’s Course 5 | P a g e

    About Intellipaat

    Intellipaat is one of the leading e-learning training providers with more than 600,000

    learners across 55+ countries. We are on a mission to democratize education as we

    believe that everyone has the right to quality education.

    Our courses are delivered by subject matter experts from top MNCs, and our world-class

    pedagogy enables learners to quickly learn difficult topics in no time. Our 24/7 technical

    support and career services will help them jump-start their careers in their dream

    companies.

  • Big Data and Data Science Master’s Course 6 | P a g e

    Key Features

    322 HRS INSTRUCTOR-LED

    TRAINING

    381 HRS SELF-PACED

    TRAINING

    528 HRS REAL-TIME

    PROJECT WORK

    LIFETIME ACCESS

    24/7 TECHNICAL SUPPORT INDUSTRY-RECOGNIZED

    CERTIFICATION

    JOB ASSISTANCE THROUGH

    80+ CORPORATE TIE-UPS

    FLEXIBLE SCHEDULING

  • Big Data and Data Science Master’s Course 7 | P a g e

    Career Support

    SESSIONS WITH INDUSTRY MENTORS

    Attend sessions from top industry experts and get guidance on how to boost

    your career growth

    MOCK INTERVIEWS

    Mock interviews to make you prepare for cracking interviews by top employers

    GUARANTEED INTERVIEWS & JOB SUPPORT

    Get interviewed by our 400+ hiring partners

    RESUME PREPARATION

    Get assistance in creating a world-class resume from our career services team

  • Big Data and Data Science Master’s Course 8 | P a g e

    Why take up this course?

    Global Big Data market to reach US$122 billion in revenue by 2025 – Frost &

    Sullivan

    The United States alone would face a shortage of 1.4–1.9 million Big Data Analysts

    in the next 2 years – McKinsey

    Intellipaat’s training program is created, keeping in mind the needs of the industry. You will

    gain mastery in the complete aspects of Data Science and the Hadoop ecosystem to take

    on various roles and responsibilities in Big Data and Data Science domains at top-notch

    salaries.

    Who should take up this training?

    Big Data and Data Science Professionals and Software Developers

    Business Intelligence Professionals, Information Architects, and Project Managers

    Those looking to make a career in Big Data and Data Science

  • Big Data and Data Science Master’s Course 9 | P a g e

    Courses offered

    1. Big Data Hadoop and Spark

    2. Apache Spark and Scala

    3. Data Science with R

    4. Python for Data Science

    5. Tableau Desktop 10

    6. Splunk Developer and Admin

    7. Data Science with SAS

    8. Artificial Intelligence and Deep Learning Course with TensorFlow

    9. MongoDB

    10. AWS

    11. Microsoft Azure Training

    1. Apache HBase

    2. Apache Cassandra

    3. Couchbase

    4. Machine Learning

    5. Solr

    6. Linux

    7. Java

    8. Apache Kafka

    9. SQL

    INSTRUCTOR-LED TRAINING COURSES

    SELF-PACED LEARNING COURSES

  • Big Data and Data Science Master’s Course 10 | P a g e

    Course Advisors

    Suresh Paritala

    Solutions Architect at Microsoft, Texas

    A Senior Software Architect at Microsoft, Texas, who has previously worked

    with IBM Corporation, Suresh Paritala has worked on Big Data, Data Science,

    Advanced Analytics, Internet of Things, and Azure, along with AI domains like

    Machine Learning and Deep Learning. He has successfully implemented

    high-impact projects in major corporations around the world.

    David Callaghan Big Data Strategist and Solutions Architect, Perficient, USA

    An experienced Blockchain professional, who has been bringing integrated

    Blockchain, particularly Hyperledger and Ethereum, and Big Data solutions to

    the cloud, David Callaghan has previously worked on Hadoop, AWS Cloud,

    Big Data, and Pentaho projects that have had a major impact on the revenues

    of marquee brands around the world.

    Samanth Reddy Data Scientist at ASCAP

    A renowned Data Scientist who has worked with Google and is currently working

    at ASCAP, Samanth Reddy has a proven ability to develop Data Science

    strategies that have a high impact on the revenues of various organizations. He

    comes with strong Data Science expertise and has created decisive Data

    Science strategies for Fortune 500 corporations.

  • Big Data and Data Science Master’s Course 11 | P a g e

    Program Curriculum

    BIG DATA HADOOP & SPARK

    Learning Objective

    It is a comprehensive Hadoop Big Data training course designed by industry experts,

    considering current industry job requirements, to help you learn Big Data Hadoop and

    Spark modules. This is an industry-recognized Big Data Hadoop certification training

    course that is a combination of the training courses in Hadoop Developer, Hadoop

    Administrator, and Hadoop testing and analytics with Apache Spark. This Cloudera

    Hadoop and Spark training will prepare you to clear Cloudera CCA175 Big Data

    certification.

    Topics:

    Hadoop Installation and Setup

    Introduction to Big Data Hadoop and Understanding HDFS and MapReduce

    Deep Dive into MapReduce

    Introduction to Hive

    Advanced Hive and Impala

    Introduction to Pig

    Flume, Sqoop, and HBase

    Writing Spark Applications Using Scala

    Spark Framework

    RDDs in Spark

    DataFrames and Spark SQL

    Machine Learning Using Spark (MLlib)

    Integrating Apache Flume and Apache Kafka

  • Big Data and Data Science Master’s Course 12 | P a g e

    Spark Streaming

    Hadoop Administration: Multi-node Cluster Setup Using Amazon EC2

    Hadoop Administration: Cluster Configuration

    Hadoop Administration: Maintenance, Monitoring, and Troubleshooting

    ETL Connectivity with the Hadoop Ecosystem (Self-paced)

    Project Solution Discussion and Cloudera Certification Tips and Tricks

    Self-paced Course Content:

    Hadoop Application Testing

    Roles and Responsibilities of a Hadoop Testing Professional

    Framework Called MRUnit for the Testing of MapReduce Programs

    Unit Testing

    Test Execution

    Test Plan Strategy and Writing Test Cases for Testing Hadoop Application

    APACHE SPARK & SCALA

    Learning Objective

    Intellipaat’s Apache Spark and Scala certification training course offers you hands-on

    knowledge to create Spark applications using Scala programming. It gives you a clear

    comparison between Spark and Hadoop. The course provides you with techniques to

    increase application performance and enable high-speed processing using Spark RDDs,

    as well as to help in the customization of Spark using Scala.

    Topics:

    Introduction to Scala

    Pattern Matching

    Executing the Scala Code

  • Big Data and Data Science Master’s Course 13 | P a g e

    Classes Concept in Scala

    Case Classes and Pattern Matching

    Concept of Traits with Example

    Scala–Java Interoperability

    Scala Collections

    Mutable Collections vs Immutable Collections

    Use Case: Bobsrockets Package

    Introduction to Spark

    Spark Basics

    Working with RDDs in Spark

    Aggregating Data with Paired RDDs

    Writing and Deploying Spark Applications

    Parallel Processing

    Spark RDD Persistence

    Spark MLlib

    Integrating Apache Flume and Apache Kafka

    Spark Streaming

    Improving Spark Performance

    Spark SQL and DataFrames

    Scheduling/Partitioning

    DATA SCIENCE WITH R

    Learning Objective

    This Data Scientist course online provides detailed learning through self-paced videos and

    live instructor-led sessions that help you gain skills in the shortest possible time. Data

    Scientists are among the highest-paid and most in-demand professionals. This in-depth

  • Big Data and Data Science Master’s Course 14 | P a g e

    Data Scientist course covers ‘What is Data Science?,’ statistical methods, data acquisition

    and analysis, Machine Learning algorithms, predictive analytics, data modeling, etc. At the

    end of the course, you will work on building a recommendation engine for an e-commerce

    site and will work on a real-time capstone project.

    Topics:

    Introduction to Data Science with R

    Data Exploration

    Data Manipulation

    Data Visualization

    Introduction to Statistics

    Machine Learning

    Logistic Regression

    Decision Trees and Random Forest

    Unsupervised Learning

    Association Rule Mining and Recommendation Engines

    Self-paced Course Content:

    Introduction to Artificial Intelligence

    Time Series Analysis

    Support Vector Machine (SVM)

    Naïve Bayes

    Text Mining

  • Big Data and Data Science Master’s Course 15 | P a g e

    PYTHON FOR DATA SCIENCE

    Learning Objective

    The Data Science with Python course helps you learn Python programming required for

    Data Science. In this Python for Data Science training, you will master the technique of

    how Python is deployed for Data Science, working with Pandas library for Data Science,

    data cleaning, data visualization, Machine Learning, advanced numeric analysis, etc.,

    along with real-world projects and case studies.

    Topics:

    Introduction to Data Science Using Python

    Python Basic Constructs

    Maths for DS: Statistics and Probability

    OOPs in Python

    NumPy for Mathematical Computing

    SciPy for Scientific Computing

    Data Manipulation

    Data Visualization with Matplotlib

    Machine Learning Using Python

    Supervised Learning

    Unsupervised Learning

    Python Integration with Spark (Self-paced)

    Dimensionality Reduction

    Time Series Forecasting

    TABLEAU DESKTOP 10

    Learning Objective

  • Big Data and Data Science Master’s Course 16 | P a g e

    Intellipaat’s Tableau certification training program helps you learn Tableau and makes you

    ready to work on the concepts of data visualization with a firm understanding of the

    Tableau architecture. You will become proficient in the concepts of filters, parameters,

    maps, graphs, dashboards, and table calculation. Furthermore, you will learn about data

    blending, data aggregation, and R connectivity with Tableau in this online Tableau course.

    Topics:

    Introduction to Data Visualization and the Power of Tableau

    Architecture of Tableau

    Working with Metadata and Data Blending

    Creation of Sets

    Working with Filters

    Organizing Data and Visual Analytics

    Working with Mapping

    Working with Calculations and Expressions

    Working with Parameters

    Charts and Graphs

    Dashboards and Stories

    Tableau Prep

    Integration of Tableau with R and Hadoop

    DATA SCIENCE WITH SAS

    Learning Objective

    This SAS training course will help you in learning the domains of Business Analytics and

    Business Intelligence. Upon the completion of this SAS online training, you will have

    enough proficiency in reading spreadsheets, databases, using SAS functions for

    manipulating data and debugging it, etc. This Base SAS certification training also includes

  • Big Data and Data Science Master’s Course 17 | P a g e

    data mining, data analytics, modeling techniques, visualization of data, predictive analysis,

    and extracting insights through real-world case studies.

    Topics:

    Introduction to SAS

    SAS Enterprise Guide

    SAS Operators and Functions

    Compilation and Execution

    Using Variables

    Creation and Compilation of SAS Datasets

    SAS Procedures

    Input Statement and Formatted Input

    SAS Format

    SAS Graphs

    Interactive Data Processing

    Data Transformation Function

    Output Delivery System (ODS)

    SAS Macros

    PROC SQL

    Advanced Base SAS

    Summarization Reports

    SPLUNK DEVELOPER & ADMIN

    Learning Objective

    Intellipaat’s master’s program in the Splunk tool includes Splunk Developer and Splunk

    Administration training. As part of this Splunk course, you will work on searching, sharing,

  • Big Data and Data Science Master’s Course 18 | P a g e

    and saving Splunk results, creating tags, generating reports and charts, installing and

    configuring Splunk, and monitoring, scaling, and indexing large volumes of searches and

    analyzing them using the Splunk tool.

    Topics:

    Splunk Development Concepts

    Basic Searching and Using Fields in Searches

    Saving and Scheduling Searches

    Creating Alerts and Scheduled Reports

    Tags and Event Types

    Creating and Using Macros

    Workflow and Splunk Search Commands

    Transforming and Reporting Commands

    Mapping and Single-value Commands

    Splunk Reports and Visualizations

    Analyzing, Calculating, and Formatting Results

    Correlating Events and Enriching Data with Lookups

    Creating Reports and Dashboards

    Getting Started with Parsing

    Using Pivot

    Common Information Model (CIM) Add-on

    Overview of Splunk and Its Installation

    Splunk Installation in Linux

    Distributed Management Console

    Introduction to the Splunk App

    Splunk Indexes and Users

  • Big Data and Data Science Master’s Course 19 | P a g e

    Splunk Configuration Files

    Splunk Deployment Management

    Splunk Indexes

    User Roles and Authentication

    Splunk Administration Environment

    Basic Production Environment

    Splunk Search Engine

    Various Splunk Input Methods

    Splunk User and Index Management

    Machine Data Parsing

    Search Scaling and Monitoring

    Splunk Cluster Implementation

    AI & DEEP LEARNING

    Learning Objective

    Intellipaat offers a comprehensive Artificial Intelligence program that will help you work on

    today’s cutting-edge technology, Artificial Intelligence (AI). As part of this best AI training,

    you will master various aspects of artificial neural networks, supervised and unsupervised

    learning, logistic regression with a neural network mindset, binary classification,

    vectorization, Python for scripting Machine Learning applications, and much more.

    Topics:

    Introduction to Deep Learning and Neural Networks

    Multi-layered Neural Networks

    Artificial Neural Networks and Various Methods

    Deep Learning Libraries

    Keras API

  • Big Data and Data Science Master’s Course 20 | P a g e

    TFLearn API for TensorFlow

    DNNs (Deep Neural Networks)

    CNNs (Convolutional Neural Networks)

    RNNs (Recurrent Neural Networks)

    GPU in Deep Learning

    Autoencoders and Restricted Boltzmann Machine (RBM)

    Deep Learning Applications

    Chatbots

    MONGODB DEVELOPER & ADMIN

    Learning Objective

    This is a very extensive course in MongoDB, which is one of the most widely used NoSQL

    tools in the Big Data domain. Some of the topics that are included in this MongoDB training

    are the installation of MongoDB, JSON files, data modeling, and schema design. You will

    also gain enough expertise in the framework of data monitoring, indexing, and aggregation.

    Topics:

    Introduction to NoSQL and MongoDB

    MongoDB Installation

    Importance of NoSQL

    CRUD Operations

    Data Modeling and Schema Design

    Data Management and Administration

    Data Indexing and Aggregation

    MongoDB Security

    Working with Unstructured Data

  • Big Data and Data Science Master’s Course 21 | P a g e

    AWS

    Learning Objective

    Intellipaat is offering a comprehensive AWS certification training course created by industry

    experts. This AWS training will prepare you for the AWS Certified Solutions Architect

    exam. You will learn skills such as AWS Elastic Cloud Compute, Simple Storage Service,

    virtual private cloud, Aurora database service, load balancing, auto-scaling, and more by

    working on hands-on projects and case studies. You will learn the best practices to be

    followed while working on AWS projects in the industry.

    Topics:

    Introduction to Cloud Computing and AWS

    Elastic Compute and Storage Volumes

    Load Balancing, Autoscaling, and DNS

    Virtual Private Cloud

    Storage - Simple Storage Service (S3)

    Databases and In-memory Data Stores

    Management and Application Services

    Access Management and Monitoring Services

    Automation and Configuration Management

    Amazon FSx and Global Accelerator

    Self-paced Course Content:

    Architecting AWS – Whitepaper

    DevOps on AWS

    AWS Migration

    AWS Architect Interview Questions

  • Big Data and Data Science Master’s Course 22 | P a g e

    MICROSOFT AZURE TRAINING

    Learning Objective

    Intellipaat’s Microsoft Azure certification training paves the way for learners to get

    accustomed to Azure infrastructure and deployment. This training makes learners acquire

    skills in Azure administration, managing subscriptions, securing storage, securing and

    managing identities, deploying virtual machines, implementing Azure Load Balancer,

    migrating servers to Azure, integrating on-premise networks with Azure virtual network,

    and managing application services, among other aspects of Azure, all through

    implementing projects in real-world scenarios. Become a part of the Azure revolution with

    Intellipaat’s Microsoft Certified Azure Administrator Associate training course. Aligned with

    the 2020 edition of Exam AZ-104 Microsoft Azure Administrator, this course is best suited

    for professionals wishing to be successful as an Azure Administrator.

    Topics:

    Introduction to Microsoft Azure

    Introduction to ARM and Azure Storage

    Introduction to Azure Storage

    Azure Virtual Machines

    Azure App and Container Services

    Azure Networking - I

    Azure Networking - II

    Authentication and Authorization in Azure Using RBAC

    Microsoft Azure Active Directory

    Azure Monitoring

    Self-paced Courses

  • Big Data and Data Science Master’s Course 23 | P a g e

    HBase

    Our HBase course lets you master the powerful NoSQL distributed database. This HBase

    training provides a detailed understanding of HBase and NoSQL concepts, such as HBase

    architecture, data analytics using HBase, integration with Hive, monitoring clusters using

    ZooKeeper, and advanced operations in HBase, including integration and working with the

    Hadoop ecosystem.

    Cassandra

    This Cassandra course provides you extensive knowledge of Cassandra concepts, high-

    scalable data models, and the Cassandra architecture which will enable you to build

    applications for Big Data. You will learn Cassandra configuration, installation, architecture, data

    modeling, and Hadoop integration and will work on real-life industry projects.

    Couchbase

    Our Couchbase course provides hands-on training to master the multi-model NoSQL file-

    oriented database. You will learn Couchbase distributed architecture, Couchbase Server,

    searching, querying, and indexing data, and the Couchbase flexible data model, along with

    getting hands-on experience in working with Couchbase Server that can store credentials and

    key-values.

    Machine Learning

    Our Machine Learning with Python training is a comprehensive course that lets you master

    various aspects of Machine Learning such as Machine Learning with Python programming,

    supervised and unsupervised learning, support vector machines, random forest classifiers,

    best practices of Machine Learning, and more through hands-on projects and case studies.

    Apache Solr

    Our Apache Lucene Solr training course lets you master Solr, along with its major topics such

    as introduction to Apache Lucene, Solr installation, Solr Search, and sorting, indexing, and

    updating schema.

    Linux

    Our Linux training course lets you master the Linux OS. This in-depth training course gives

    you all skills needed for working as a Linux Administrator. You will learn about the Red Hat

    system, installation, managing boot processes, performing various operations,

    understanding Linux Kernel, and testing and debugging.

  • Big Data and Data Science Master’s Course 24 | P a g e

    Project Work

    Working with MapReduce, Hive, and Sqoop

    Working on MovieLens Data for Finding the Top Movies

    Hadoop YARN Project: End-to-End PoC

    Table Partitioning in Hive

    Connecting Pentaho with the Hadoop Ecosystem

    Multi-node Cluster Setup

    Hadoop Testing Using MRUnit

    Big Data Hadoop Projects

    Java

    This comprehensive course lets you master the Java programming language. It provides the

    best online training to help you learn OOP concepts, J2EE, core and advanced Java, JDBC,

    objects and classes, etc. You will also work on real-world industry projects.

    Apache Kafka

    Our Apache Kafka training course gives you hands-on training to master the real-time stream

    processing platform. Major topics included in this online course are the Kafka API, creating

    Kafka clusters, and the integration of Kafka with the Big Data Hadoop ecosystem, along with

    Spark, Storm, and Maven integration.

    SQL

    This MS SQL training helps you manage database solutions and various operations on

    databases, migrate them to the cloud, and scale on demand. You will work on real-world

    projects in Transact-SQL. As part of this training, you will also receive official course material

    issued by Microsoft for ‘Querying Data with Transact-SQL’ and ‘Developing SQL Databases.’

  • Big Data and Data Science Master’s Course 25 | P a g e

    Hadoop Web Log Analytics

    Hadoop Maintenance

    Twitter Sentiment Analysis

    Analyzing IPL T20 Cricket

    Movie Recommendation

    Twitter API Integration for Tweet Analysis

    Data Exploration Using Spark SQL – Wikipedia Dataset

    Movie Recommendation

    Twitter API Integration for Tweet Analysis

    Data Exploration Using Spark SQL – Wikipedia Dataset

    Market Basket Analysis

    Credit Card Fraud Detection

    Loan Approval Prediction

    Netflix Recommendation System

    Case Study 1: Introduction to R Programming

    Case Study 2: Solving Customer Churn Using Data Exploration

    Case Study 3: Creating Data Structures in R

    Case Study 4: Implementing SVD in R

    Case Study 5: Time Series Analysis

    Analyzing the Trends of COVID-19 with Python

    Apache Spark & Scala

    Data Science with R

    Data Science with Python

  • Big Data and Data Science Master’s Course 26 | P a g e

    Analyzing the Naming Trends Using Python

    Performing Analysis on Customer Churn Dataset

    Netflix Recommendation System

    Python Web Scraping for Data Science

    OOPS in Python

    Working With NumPy

    Visualizing and Analyzing the Customer Churn Dataset Using Python

    Building Models with the Help of Machine Learning Algorithms

    Understanding Global COVID-19 Mortality Rates

    Understanding the UK Bank Customer Data

    Understanding Financial Data

    Understanding Agriculture Data

    Creating an Employee Database of a Company

    Building an Organizational Dashboard with Splunk

    Field Extraction in Splunk

    Categorization of Patients Based on the Count of Drugs Used for Their Therapy

    Building Revenue Projections Reports

    Impact of Pre-paid Plans on the Preferences of Investors

    K-means Cluster Analysis on the Iris Dataset

    Tableau Desktop 10

    Splunk

    Data Science with SAS

    AI & Deep Learning

  • Big Data and Data Science Master’s Course 27 | P a g e

    Auto-encoder Assignment

    CNN Assignment

    Binary Classification on ‘Customer_Churn’ Using Keras

    Face Detection Project

    Keras Assignment

    MLP Assignment

    AI and Deep Learning Intro Assignment

    RNN Assignment

    TensorFlow Assignment

    TFLearn Assignment

    Working with the MongoDB Java Driver

    Project 1: Implementing a New Architecture to Your Company’s Website

    Project 2: Building a Dashboard to Monitor Your Company’s Website Running on a

    Web App

    Case Study 1: Introduction to Cloud computing

    Case Study 2: Microsoft Azure Storage

    Case Study 3: Azure Virtual Machines

    Case Study 4: Microsoft Azure Networking

    Case Study 5: Load Balancing and Network Watcher

    Case Study 6: Access Management in Azure

    MongoDB

    Microsoft Azure

    AWS

  • Big Data and Data Science Master’s Course 28 | P a g e

    Deploying a Multi-tier Website on AWS

    Deploying a Website for High Availability and High Resilience

    Sending Notifications to Patients Using Push Notifications

    An Application to Sort Objects in an S3 Bucket Using Beanstalk and Lambda

    Case Study 1 - Using Different Operations on EC2 and EWS

    Case Study 2 - Autoscaling Compute Capacity in AWS

    Case Study 3 - Creating Custom VPCs in AWS

    Case Study 4 - Using AWS S3 for Lifecycle Access Management

    Case Study 5 - Highly Available Relational Database in AWS

    Case Study 6 - CloudFormation for Infrastructure-as-Code

    Case Study 7 - Administering User Access Using AWS IAM

    Case Study 8 - Application Services in AWS and Configuration Management

  • Big Data and Data Science Master’s Course 29 | P a g e

    Certification After the completion of the course, you will get certificates from IBM, Microsoft, and

    Intellipaat.

  • Big Data and Data Science Master’s Course 30 | P a g e

    Success Stories

    Kevin K Wada

    Thank you very much for your top-class service. A special mention should

    be made for your patience in listening to my queries and giving me a

    solution, which was exactly what I was looking for. I am giving you a 10 on

    10!

    Sampson Basoah

    The Intellipaat team helped me in selecting the perfect course that suits

    my profile. The whole course was practically oriented, and the trainers are

    always ready to answer any question. I found this course to be impactful.

    Thank you.

    Vishal Pentakota

    The best part of this online course is the series of hands-on

    demonstrations the trainer performed. Not only did he explain each concept

    theoretically, but he also implemented all those concepts practically.

    Sharath Reddy Yellapati

    The course material was well organized. The trainer explained each

    module to me from the basics. All my queries were addressed very

    clearly. The trainer also made me realize how important this course is for

    beginners in the IT stream.

  • Big Data and Data Science Master’s Course 31 | P a g e

    CONTACT US

    INTELLIPAAT SOFTWARE SOLUTIONS PVT. LTD.

    Bangalore

    AMR Tech Park 3, Ground Floor, Tower B, Hongasandra Village, Bommanahalli, Hosur Road, Bangalore – 560068 USA

    1219 E. Hillsdale Blvd. Suite 205, Foster City, CA 94404 If you have any further queries or just want to have a conversation with us, then do call us.

    IND: +91-7022374614 | US: 1-800-216-8930