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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study	Video and Text Based

Course Overview

Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud is the online certification programme offered by Coursera. It is the online certification programme made available by the University of Illinois at Urbana-Champaign. Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud Certification Course can only be taken by the learners as part of the two-course series ‘Cloud Computing Specialization’ offered by the University of Illinois at Urbana-Champaign. The programme helps the learners explore cloud computing and big data.

Administered by Coursera, Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud Training will explore the applications of cloud computing and will closely examine deep learning technologies, cloud computing platform, mobile cloud computing, graph processing, large-scale data storage, examples of cloud-based applications and the like. Plus, the course will cover novel applications of cloud computing and cloud computing applications in business. Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud Certification by Coursera is designed in a self-paced mode and can be covered within the minimum duration of twenty hours.

The Highlights

Provided by Coursera
Offered by the University of Illinois at Urbana-Champaign
Flexible Deadlines
Shareable Certificate
Financial Aid Available
Self-Paced Learning Option
100% Online Course
Around 20 Hours to Complete

Programme Offerings

English videos with multiple subtitles
Shareable Certificate
Financial aid available
Shareable Certificates
Self-Paced Learning Option

Courses and Certificate Fees

Certificate Availability	Certificate Providing Authority
yes	University of Illinois, Urbana ChampaignCoursera

Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud Certification Fee is determined by Coursera month-wise and it will vary depending on the number of months the learners use to complete it. The month-wise course fee can also be paid with the EMI payment option.

Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud Fee Structure

Duration	Amount in INR
1 Month	INR 3,990
3 Months	INR 7,980 (INR 2,660 /month)
6 Months	INR 11,970 (INR 1,995 /month)

Eligibility Criteria

Certification Qualifying Details

To get certified with the shareable certificate after the completion of the Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud online course, the learners have to duly wrap the course procedures and make the payment of the Coursera-prescribed fee.

What you will learn

Knowledge of Big DataKnowledge of cloud computing

By going through the Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud Certification Syllabus, the students can learn the following concepts in depth:

Graphs
Distributed Computing
Big Data
Machine Learning
Cloud application

Who it is for

Software DeveloperSoftware EngineerIT Engineer

Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud Classes can be pursued by anyone who wants to learn cloud computing, especially professionals such as Software developers, Software engineers, and IT Engineers.

Admission Details

Step 1 -Search the official URL

https://www.coursera.org/learn/cloud-applications-part2

Step 2- Enroll in the programme either via the audit mode or the mode that requires fee payment.

The Syllabus

Video

Welcome to Cloud Applications, Part 2!

Readings

Syllabus
About the Discussion Forums
Updating Your Profile
Social Media

Practice Exercise

Orientation Quiz

Videos

1.1.1 Motivation for Spark
1.1.2 Apache Spark
1.1.3 Spark Example: Log Mining
1.1.4 Spark Example: Logistic Regression
1.1.5 RDD Fault Tolerance
1.1.6 Interactive Spark
1.1.7 Spark Implementation
1.2.1 Introduction to Distros
1.2.2 Hortonworks
1.2.3 Cloudera CDH
1.2.4 MapR Distro
1.3.1 HDFS Introduction
1.3.2 YARN and MESOS

Reading

Module 1 Overview

Practice Exercise

Module 1 Quiz

Videos

Module 2 Introduction
2.1.1 Introduction to MapReduce with Spark
2.1.2 MapReduce: Motivation
2.1.3 MapReduce Programming Model with Spark
2.1.4 MapReduce Example: Word Count
2.1.5 MapReduce Example: Pi Estimation & Image Smoothing
2.1.6 MapReduce Example: Page Rank
2.1.7 MapReduce Summary
2.2.1 Eventual Consistency – Part 1
2.2.2 Eventual Consistency – Part 2
2.2.3 Consistency Trade-Offs
2.2.4 ACID and BASE
2.2.5 Zookeeper and Paxos: Introduction
2.2.6 Paxos
2.2.7 Zookeeper
2.3.1 Cassandra Introduction
2.3.2 Redis
2.3.3 Redis Demonstration
2.4.1 HBase Usage API
2.4.2 HBase Internals - Part 1
2.4.3 HBase Internals - Part 2
2.4.4 Spark SQL
2.5.5 Spark SQL Demo
2.5.1 Kafka

Reading

Module 2 Overview

Practice Exercise

Module 2 Quiz

Videos

Module 3 Introduction
3.1.1 Streaming Introduction
3.1.2 "Big Data Pipelines: The Rise of Real-Time"
3.1.3 Storm Introduction: Protocol Buffers & Thrift
3.1.4 A Storm Word Count Example
3.1.5 Writing the Storm Word Count Example
3.1.6 Storm Usage at Yahoo
3.2.1 Anchoring and Spout Replay
3.2.2 Trident: Exactly Once Processing
3.3.1 Inside Apache Storm
3.3.2 The Structure of a Storm Cluster
3.3.3 Using Thrift in Storm
3.3.4 How Storm Schedulers Work
3.3.5 Scaling Storm to 4000 Nodes
3.3.6 Q&A with Bobby Evans (Yahoo) on Storm
3.4.1 Spark Streaming
3.4.2 Lambda and Kappa Architecture
3.4.3 Streaming Ecosystem

Reading

Module 3 Overview

Practice Exercise

Module 3 Quiz

Videos

4.1.1 Graph Processing
4.1.2 Pregel - Part 1
4.1.3 Pregel - Part 2
4.1.4 Pregel - Part 3
4.1.5 Giraffe Introduction
4.1.6 Giraph Example
4.1.7 Spark GraphX
4.2.1 Big Data Machine Learning Introduction
4.2.2 Mahout: Introduction
4.2.3 Mahout kmeans
4.2.4 Mahout: Naïve Bayes
4.2.5 Mahout: fpm
4.2.6 Spark Naïve Bayes
4.2.7 Spark fpm
4.2.8 Spark ML/MLlib
4.2.9 Introduction to Deep Learning
4.2.10 Deep Neural Network Systems
4.3.1 Closing Remarks

Reading

Module 4 Overview

Practice Exercise

Module 4 Quiz

Instructors

University of Illinois, Urbana Champaign Frequently Asked Questions (FAQ's)

1: Who are the faculty members of the University of Illinois at Urbana-Champaign who developed and supervise the learning process of Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud online course?

The faculty members of the University of Illinois at Urbana-Champaign who designed and supervise the online programme are Reza Farivar and Roy H. Campbell.

2: Which university provides the shareable certificate for the learners after the programme?

Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud is offered by the University of Illinois at Urbana-Champaign and thus, the certificate will be distributed by them.

3: What is the specialization by the University of Illinois at Urbana-Champaign that includes the online programme?

The online certificate programme is from the Cloud Computing Specialization offered jointly by the University of Illinois at Urbana-Champaign and Coursera.

4: In how many languages the subtitles for the course contents are available? What are they?

The subtitles for the course videos are available in 10 international languages. They are Arabic, Korean, German, French, Portuguese (European), Italian, Vietnamese, Russian, English, and Spanish.

5: If I plan to complete the courses as fast as I can, how much time is needed?

If you want to cover the programme at the minimum duration, you can complete it within about 20 hours.