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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study, Virtual Classroom, Campus Based/Physical Classroom	Video and Text Based

Course Overview

The Certificate in Advanced Cloud Computing course has a 6-month duration. The course focuses on gaining skills and experience in a cloud-centric ecosystem that can elevate a student’s career. The programme is offered on the TimesPro platform in collaboration with CEC, and IIT Roorkee.

During the Certificate in Advanced Cloud Computing training, candidates will learn from industry experts who have designed a robust curriculum blending both practical and theoretical knowledge. This will allow the students to excel in cloud-centric environments.

This online programme is divided into 15 modules with a learning time of 230+ hours. This course will open job opportunities in the dynamic field of cloud computing. Any graduate who wants to gain expertise in the cloud computing ecosystem can apply. An optional 5 days of campus immersion is offered after course completion.

Also Read: Online Cloud Computing Courses & Certifications

The Highlights

6 Months Course
Direct-to-device Programme
230+ hours of learning time
127 hours ILT/Live Sessions
111 Hours of Live Sessions
30 Hours of Capstone Project
44-46 Hours Self-Paced Classes
Completion Certification

Programme Offerings

16 Modules
30 Hours Campus Immersion
Certificate by IIT Roorkee
Designed by Experts
20+ Industry Leading Tools
TimesPro Career Support

Courses and Certificate Fees

Certificate Availability	Certificate Providing Authority
yes	IIT RoorkeeTimesPro

The Certificate in Advanced Cloud Computing fees is Rs. 1,64,020. The students are offered a 6% discount on upfront payment in full. Sometimes a 0% interest payment is also allowed for those who meet the eligibility criteria.

Certificate in Advanced Cloud Computing Fee Structure

Name	Particulars
Programme Fee	Rs. 1,39,000
GST @18%*	Rs. 25,020
Total Fees	Rs. 1,64,020

Eligibility Criteria

Academic Qualifications

Any graduate-level student having a basic knowledge of computer science and engineering with 50% marks or above is eligible to apply.

Certification Qualifying Details

Candidates wanting to get the Certificate in Advanced Cloud Computing by IIT Roorkee, CEC, and TimesPro must score a minimum of 50% marks in the MCQ-based exam. They must also maintain a minimum attendance of 50%.

The total weightage is divided into 3 parts where a focus of 10%, 60%, and 10% is given to attendance, MCQ exam, along with projects and assignments respectively.

What you will learn

Knowledge of Linux

After completion of the Certificate in Advanced Cloud Computing syllabus, candidates will be able to do the following:

Become proficient in Python and Linux for cloud environments.
Design plus implement network virtualization solutions by making proper use of SDN and NFV technologies.
Learning the cloud computing ecosystems basics.
Navigating and using the capabilities of cloud platforms like AWS.
Designing using best practices and deploying cloud-based solutions.

Who it is for

Computer Systems AdministratorCloud EngineerSolution Architect

Candidates who want to handle cloud infrastructure, deploy applications, and also automate processes can pick this course. Moreover, people interested in working in any of the following roles can consider this course:

Computer Systems Administrator
Cloud Engineer
IoT Architect
Solutions Architect

Admission Details

To join the Certificate in Advanced Cloud Computing classes, we have mentioned the following steps as follow:

Step 1: Browse the link::

https://timespro.com/exed-programme/iit-roorkee-certificate-course-in-advanced-cloud-and-edge-computing

Step 2: Students must then click on the “Apply Now” button.

Step 3: Fill in the application with the necessary information and then click on the “Submit” button to apply.

Step 4: After the co-ordinators contact, the students can select the course of their interest

Step 5: Upload all documents verified and attend the interview if required.

Step 6: Obtain an offer letter and share your acceptance.

Step 7: Pay the preliminary course fee to start learning.

Application Details

There is a small application form that requires details like full name, email address, phone number, city, and country that needs to be written and submitted so that the application is processed further.

The Syllabus

Introduction to Cloud ecosystems
Definitions
Cloud characteristics
Deployment models
Leading service providers (AWS, Google, Azure, etc.)
Data centres and their components
Services (SaaS, IaaS, PaaS)
Issues and challenges

Quick review of prerequisite concepts of OS (Process, Memory, Interrupts, Instruction execution, etc.)
Understanding hypervisors
Reference model
Virtualisation characteristics
Principles of hypervisor design
Interfaces
Types of hypervisors (type-1 and type-2)
Design methods of hypervisors (full virtualisation, para virtualisation, and hardware-assisted virtualisation),
Case studies on Vmware, Virtual box, Xen, and KVM-QEMU hypervisor
Memory virtualisation
I/O Virtualisation
OS virtualisation
Comparative Analysis of hypervisors
Understanding performance, requirements, and bottleneck

Understanding SDN and NFV definitions and need
Benefits of SDN and NFVs
Data plane
Control plane
Management plane
Switch vs SDN switch
Routing vs forwarding
Traditional networks vs SDN networks
Southbound and northbound interfaces
Traffic engineering
Network OS
Open flow
NFV architecture
NFV vs SDN
Use cases

Understanding SLA
Hotspots
Types of VM migrations
Requirements of migration
Live migration
Techniques
Case study
Demonstration on live migration using hyper-V, VMware, etc

Introduction to Containers
Container Orchestration Platforms
Continuous Integration and Continuous Deployment (CI/CD) using Kubernetes

Cloud-native Application Development
Infrastructure as Code (IaC)
Cloud-Native Development Tools and Frameworks
Best Practices for Cloud Deployments
Case Studies

Introduction to AWS
Security and compliance
Cloud technology and services
Billing and support

Introduction to serverless architecture
Deep dive into AWS Lambda
Building serverless applications with Lambda
Monitoring and managing Lambda functions

Understanding concurrent computing
Concurrent computing vs parallel computing
Concurrent computing with parallel computing
Elements of concurrent programming
Laws of concurrent programming
Laws of performance
Cost and performance model of concurrent computing
An overview on OpenMP API, and converting sequential programmes or applications in concurrent programme/application
Hands on using OpenMP API to convert sequential programmes into concurrent programmes on several real-life problems

Motivation behind Edge and Fog computing
Fog computing definition
Characteristics
Reference model and architecture
IoT
Industry 4.0
Cyber physical system
Cloud vs Fog
Fog vs Edge
Mist computing
Communication alternatives
Applications
Industry contributions and investments
Industry scope
Current and future trends
A case study in intelligent transportation systems of edge and Fog computing

Introduction to Internet of Things (IoT): Basics, definition, and key terms such as sensing and actuation, architectures, and use cases.
Introduction to IoT hardware: Sensors, actuators, microcontrollers such as Arduino, edge/fog computing modules such as Raspberry Pi and Nvidia Jetson.
Experimenting with Arduino IDE and simulators: Digital inputs and outputs, interfacing with analog sensors, and pulse-width modulation
Communication and networking: Serial communication, serial monitor, I2C, SPI, UART, Ethernet, WiFi
IoT Cloud platforms: Amazon AWS IoT, Azure IoT, Google Cloud IoT, Blynk IoT, Arduino Cloud, Ubidots
Hands-on projects: Building IoT cloud applications