Get updates on Eligibility, Admission, Placements Fees Structure
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 19 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 19 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 Fee Details
Description | Total Fee in INR |
Course Fee, 1 month | Rs. 4,117 |
Course Fee, 3 months | Rs. 8,234 |
Course Fee, 6 months | Rs. 12,352 |
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
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
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: NaĂŻve Bayes
- 4.2.5 Mahout: fpm
- 4.2.6 Spark NaĂŻve 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)
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.
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.
The online certificate programme is from the Cloud Computing Specialization offered jointly by the University of Illinois at Urbana-Champaign and Coursera.
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.
If you want to cover the programme at the minimum duration, you can complete it within about 19 hours.