Cloud Computing, AWS & DevOps - Instructor Led Live Online Training

Innovians Technologies in association with Anwesha, IIT Patna presents Instructor Led Live Online Industrial Training cum Internship program on Cloud Computing, AWS & DevOps.

Cloud Computing: Cloud computing is the on-demand availability of computer system resources, especially data storage and computing power, without direct active management by the user. The term is generally used to describe data centers available to many users over the Internet.

Amazon Web Services (AWS): Amazon Web Services is a subsidiary of Amazon providing on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered pay-as-you-go basis. In aggregate, these cloud computing web services provide a set of primitive abstract technical infrastructure and distributed computing building blocks and tools. The AWS technology is implemented at server farms throughout the world and maintained by the Amazon subsidiary. Fees are based on a combination of usage (known as a "Pay-as-you-go" model), the hardware/OS/software/networking features chosen by the subscriber, required availability, redundancy, security, and service options.

DevOps: DevOps is a set of practices that automates the processes between software development and IT teams, in order that they can build, test, and release software faster and more reliably. The concept of DevOps is founded on building a culture of collaboration between teams that historically functioned in relative siloes. The DevOps Training has been designed to understand the significance of DevOps. This training would enable us in grasping the concepts of how DevOps transformation can help in focussing on value and streamline the delivery and also Learn about the common infrastructure servers, scalability and availability will be another feature of this training program. The student will learn the DevOps tools like – Puppets, Jenkins, Nagios, Ansible and GIT etc.

Topics to be Covered:

Introduction to Cloud Computing

A short history
Client Server Computing Concepts
Challenges with Distributed Computing
Introduction to Cloud Computing
Why Cloud Computing?
Benefits of Cloud Computing

Networking Basics

Understanding Networking Concepts
TCP/IP
Application Protocols
Understanding Linux Files and Network Tooling
ifconfig
dig
ping
traceroute
netstat
tcpdump
conf
ssh
scp/rsync

Characteristics of Cloud Computing

API based access
Cost
Device independence
Virtualization
Multitenancy

Types of Cloud Computing

Software as a Service
Platform as a Service
Infrastructure as a Service
Other XaaS's

Cloud Deployment Models

Public Cloud
Private Cloud
Community Cloud
Hybrid Cloud
When to choose what?

Virtualization

Introduction to Virtualization
Role of Virtualization in Cloud Computing
Types of Virtualization
Examples of Virtualization
Benefits of Virtualization
Virtualization terminologies
Emulator
Hypervisor
Backup and Snapshotting
Failover
Examples of Virtualization
VMware
Virtualbox
Qemu/KVM

Virtualization Hands-on

Installing Virtual Machine Manager
Configuration of the host machine
Network configuration
Creating Virtual Machines
Allocating Resources
Installing guest machines
Running guest machines

Cloud Computing - Analyzing the Space

Major cloud providers
Important cloud related software

Web Application Engineering in the Cloud

DNS
Load Balancer
Web Servers
Application Servers
Scaling web and application servers
Data stores/Cloud Storage
Relational Databases
NoSQL databases
Scaling datastores
Storing and analyzing unstructured data in the cloud
Data Analysis and the Hadoop Ecosystem
Eliminating SPOFs

SAAS Case Study - Google Apps for the Enterprise

Google Apps Setup
Google Mail
Google Drive
Google Apps Marketplace

Amazon Web Services (AWS)

Introduction to the AWS products
Amazon Elastic Compute Cloud (EC2)
Amazon Simple Storage Service (S3)
Elastic Block Storage (EBS)
Elastic Load Balancing (ELB)
Amazon Relational Database Service (RDS)
Amazon DynamoDB
Auto Scaling
Amazon ElastiCache

Server monitoring and Performance monitoring

Monitoring needed in the cloud
Monitoring tools availability
Performance monitoring
Tweaks to improve performance and availability

XEN Server / OpenStack Installation & Configuration

DevOps

Introduction to Devops
- Devops Basics
- A Devops Culture
- Devops Blocks
- Automation of Infrastructure
- Continous Delivery
- Reliability
- Future of Devops
Infrastructure as Code
- Introduction
- Public Cloud AWS
- Provisioning, Deployment and Orchestration
Learning Docker
- Introduction to Docker
- Using docker and Building Docker Images
- Orchestration usind Docker
Learning Chef
- Introduction and Fundamentals
- Vagrant
- Complete Lamp Stack
- Receipe to Cookbooks
- Full Scale using Chef
Learning Puppet
- Introduction
- Setting Up Environment
- Managing Nodes and Modules
Learning Kubernetes
- Containernization with kubernetes
- Kubernetes Architecture
- Making it Production Ready
Continous Delivery and Continous Integration
- Concepts and Introduction
- Building a Pipeline using jenkins
Software Version Control
- Concepts and Introduction
- Subversion, TFS and GIT
Devops and Agile
- Lean and Agile Introduction
- Three Cycles
Future of Devops

Duration

2 Weeks : Online Live Classes: 30 Hours (3 Hours Per Day) to be covered in 2 Weeks time. .
4 Weeks : ( In 4 Weeks Training, 2 Weeks will be of Classroom Hands-On Technical Training same like two week training program & remaining 2 Weeks Time Participants will get for completion of a Project/Research Work from home).

Tentative Schedule for 2024 Batch (Online Training)

May Batch
June Batch
July Batch
August Batch
September Batch

Training Mode

Online - Live Instructor Led Training.

(You can attend training from home, all you need is a laptop/computer & active internet connection)

Study Material

PPTs
Practice Examples
Reading Material in softcopy
Project Codes
Projects and Assignment
Learner will get recorded videos of live session incase if you miss something during training.

What You Need for Training ?

Active Internet Connection
One Computer/Laptop with Windows OS(Windows 7 or Above) /Linux OS, 64 Bit System with minimum 4 GB RAM

Training Mode

Online - Live Instructor Led Training.

(You can attend training from home, all you need is a laptop/computer & active internet connection)

Fees (Course Fees: Rs 3999 per participant)

Registration Fee of Rs 1000 to be paid after filling Registration Form through our online payment gateway/GooglePay/PhonePay/UPI/Paytm.
Remaining Course Fee is Rs 2999/-. for Online Course (For More Discounts & Offers please check our Discounts & Offers Page).

Certification

Once the Training Gets over, Hard Copy of Training Certificate & Internship Letter will be courier to participants address:

All courses under Industrial Training Program are certified by Anwesha, IIT Patna & Innovians Technologies
All trainee will receive an Industrial Training Certificate from Anwesha, IIT Patna & Innovians Technologies.
All Participants will get Internship Letter cum Recommendation on Company Letterhead of Innovians Technologies.

Please Note: Incase of 4 Week/6 Week/ 8 Week Certification Training (2 Week Online Live Classroom Training + 2/4/6 Week from home Project Work), participants will get 2 Week Online Live Instructor Led Training same and remaining time they will get complete one project/research work. Project Work is for those who want to get 4 Week/6 Week/8 Week Training Certificate as per their college/university Criteria of Training. Otherwise you can apply for 2 Week Online Live Training Program. Online Live Training is same for 2 Weeks/ 4 Weeks /6 Weeks/8 Weeks Certification Duration Summer Training. Incase if you need a Certificate More than 4 Weeks then please inform us on 1st day of Training.