Executive Post Graduate Certification in Cloud Computing

Non-tech to DevOps Engineer

I was able to internally shift from a non-tech role to a DevOps engineer role in IBM because of the rich content, dedicated support, and job assistance program by Intellipaat’s team.

System Engineer

DevOps Engineer (MCMS-MSCP)

Anil Sharma

Cloud Architect Associate | Hyderabad

Non-tech to Cloud Architect

I feel proud to have made a transition from a customer service associate to a cloud architect associate. This has happened because of comprehensive and industry-aligned training by Intellipaat.

Customer Service Associate

Cloud Architect Associate

Krishnamohan Shanmugam

Consultant Engineer | India

100% Salary Hike & New Job

The course helped me get recognition in my company and successfully shift my career from a Linux administrator to an AWS professional. The best part is the 24*7 support and practical teaching methodology.

Software Engineer

Consultant Engineer

Herin Wilson

AWS Solution Architect | Hyderabad

Non-Tech to Tech Profile

The training helped me transform my career from a process associate to information technology associate. I have successfully grown in this career today because of the expert guidance I received in the training by Intellipaat.

Process Associate

Information Technology Associate

Mohit Khas

Azure Technical Lead | India

Job Promotion

Appreciate Intellipaat for helping me move to the cloud domain and get promoted to Azure technical lead. The best part is every topic is backed by practical scenarios which helped me in my current role too.

Consultant

Azure Technical Lead

Somika Simlote

Senior Software Engineering Lead | India

Got New Job

After having lost my job due to COVID, I was able to land a better job again after enrolling in this program. I shifted to Azure after 13 years in the IT industry only due to the efforts of Intellipaat’s team.

Technology Project Lead

Senior Software Engineering Lead

Keyur Patel

Associate Cloud Engineer | US

Support Engg. to Cloud Engg.

Shifting from support engineering to cloud engineering was not easy. But with the help of expert guidance from Intellipaat, I was able to make a shift from an IT support engineer to a cloud engineer.

IT Infrastructure Support Engineer

Associate Cloud Engineer

Nikhil YN

Cloud Engineer | India

Career Transition Handbook

Got 2 job offers with a 400% salary hike

This GCP course assisted me in securing the associate cloud engineer certificate, which enabled me to acquire two job opportunities with a 400% salary hike. Thanks to Intellipaat for its 24/7 support.

Junior GCP Engineer

Senior Cloud Engineer

Deepanshu Pandey

DevOps Engineer | Noida

Non-tech to DevOps Engineering

Only Intellipaat’s high-quality training and material have made the nearly impossible transition from non-tech background to DevOps engineer successful. Today, I am a proud DevOps engineer.

Technical Recruiter

DevOps Engineer

59% Average Salary Hike

$1,08,000 Highest Salary

700+ Career Transitions

300+ Hiring Partners

*Past record is no guarantee of future job prospects

Meet Your Mentors

Manish Anand

CEO at iHUB IIT Roorkee

Manish Anand is an IIT Kanpur alumnus with an MBA in Technology and innovation management from Korea Advanced Institute of Science and Technology (KAIST), Seoul. He currently heads iHUB DivyaSampark, a Technology Innovation Hub hosted at IIT Roorkee.

Dr. Sudeb Das Gupta

Professor at IIT Roorkee

Dr. Sudeb Dasgupta is currently working as Professor at IIT Roorkee. He has completed his PhD from Banaras Hindu University in Electronics Engineering and has more than 20 years of teaching experience.

Dr. Balasubramanian R

Professor at IIT Roorkee

Dr. Balasubramanian R, is currently working as Professor at IIT Roorkee. He has completed his PhD from IIT Madras in Mathematics and Computer Science and has more than 20 years of teaching experience. HIs areas of interest include computer vision, machine learning, pattern recognition, deep learning, etc.Read More

Dr. Sushanta Karmakar

Associate Professor at IIT Guwahati

Dr Sushanta Karmakar is currently working as Associate Professor, at IIT Guwahati. He has completed his Ph.D. from IIT Kharagpur in the Computer Science and Engineering department. With over 15 years of experience in teaching, he holds extensive knowledge of core computer science competencies and is passionate about Distributed Systems.Read More

Rupesh Nasre

Associate Professor at IIT Madras

Rupesh Nasre is currently working as an Associate Professor in the CSE Department at IIT Madras. He holds a Ph.D. from IISc Bangalore, and a Post-Doctoral Fellowship from the University of Texas at Austin. He also holds seven patents, is an author of two books, and is an associate editor of the CCPE journal.Read More

Dr. Devki Nandan Jha

Post- Doctoral Research Associate, Oxford University

Dr.Devki carries extensive experience in Cloud computing. He has a proven record in designing and developing multiple IOT simulators. His research interests include Cloud platforms, IOT, Optimization techniques and more.

Srikanth Sharma

Engagement Manager at Amazon

With over 15+ years of experience in developing and architecting cloud solutions, Srikanth works at AWS as an engagement manager. He has also worked as a technical consultant team lead at Microsoft and other well-known companies like Tesla Motors and Wipro.

Shajee Pulukkool

Head - Data & Analytics at Rapyder Cloud Solutions

Shajee Pulukkool is currently working at Rapyder Cloud Solutions Pvt. Ltd. as the head of Data & Analytics. He is a technology enthusiast with 22+ years of experience in software solutions, including 8+ years in bigdata & analytics, and 6+ years in AWS Cloud.

Muthusamy Manigandan

Engineering Leader, Ex-Apple

Manigandan has over 16 years of experience in cloud projects for Fortune 500 companies. He has a strong background in architecture and implementation of AWS, Azure, and GCP, along with hands-on experience in DevOps tools.

Pankaj Saxena

Sr. Director- Cloud Operations at Oracle

Pankaj has 24 years of experience in managing complex and heterogeneous infrastructure and delivering cloud-based software solutions to customers. He has extensive experience with multiple tools and technologies and building complex systems.

Birendra Kumar Sahu

Head of Data Engineering and Science at Razorpay

In his 15+ years of IT experience, Birendra has achieved excellence and was appointed as the CTO and VP-Engineering for a big data patent-pending product. He has contributed to 85 intellectual disclosure reports, 4 USA patents, 4 orange books, articles, and papers.

Suman Mukhopadhyay

Senior Director & Head of Technology Infrastructure / Cloud at EdgeVerve

He has 23 yrs of experience in IT. Suman worked at top MNCs like Wipro, AT&T, Yahoo, Walmart, etc. Skilled in leadership, IT budget ownership, incident management, Hadoop Solutions, and design and managing teams across various geographies.

Rupinder Singh

Lead Consultant at Xebia

Rupinder Singh is currently working as lead consultant at Xebia. He has worked in several top-notch companies like Wipro, Infosys, Accenture, and many more. He has 11 years of work experience. He is a skilled cloud architect and DevOps architect.

Curriculum

Live Course

Module 1 - Preparatory Sessions – Linux

Linux

Introduction to Linux – Establishing the fundamental knowledge of how linux works and how you can begin with Linux OS.
Linux Basics – File Handling, data extraction, etc.
Hands-on Sessions And Assignments for Practice – Strategically curated problem statements for you to start with Linux.

Module 2 - Amazon Web Services

Introduction to Cloud Computing & AWS

What is Cloud Computing
Cloud Service & Deployment Models
How AWS is the leader in the cloud domain
Various cloud computing products offered by AWS
Introduction to AWS S, EC, VPC, EBS, ELB, AMI
AWS architecture and the AWS Management Console, virtualization in AWS (Xen hypervisor)
What is auto-scaling
AWS EC best practices and cost involved.

Elastic Compute and Storage Volumes

Introduction to EC
Regions & Availability Zones(AZs)
Pre-EC, EC instance types
Comparing Public IP and Elastic IP
Demonstrating how to launch an AWS EC instance
Introduction to AMIs, Creating and Copying an AMI
Introduction to EBS
EBS volume types
EBS Snapshots
Introduction to EFS
Instance tenancy- Reserved and Spot instances
Pricing and Design Patterns.

Load Balancing, Autoscaling and DNS

Introduction to Elastic Load Balancer
Types of ELB – Classic, Network and Application
Load balancer architecture
Cross-zone load balancing
Introduction to Auto Scaling, vertical and horizontal scaling, the lifecycle of Auto Scaling
Components of Auto Scaling, scaling options and policy, instance termination
Using load balancer with Auto Scaling
Pre-Route – how DNS works
Routing policy, Route terminologies, Pricing

Virtual Private Cloud

What is Amazon VPC,
VPC as a networking layer for EC,
IP address and CIDR notations,
Components of VPC – network interfaces, route tables, internet gateway, NAT,
Security in VPC – security groups and NACL, types of VPC, what is a subnet, VPC peering with scenarios, VPC endpoints, VPC pricing and design patterns

Storage – Simple Storage Service (S)

Introduction to AWS storage
Pre-S – online cloud storage
API, S consistency models
Storage hierarchy, buckets in S
Objects in S, metadata and storage classes, object versioning, object lifecycle management, cross-region replication, data encryption, connecting using VPC endpoint, S pricing.

Databases and In-Memory DataStores

What is a database, types of databases, databases on AWS
Introduction to Amazon RDS
Multi-AZ deployments, features of RDS
Read replicas in RDS, reserved DB instance
RDS pricing and design patterns
Introduction to Amazon Aurora, benefits of Aurora, Aurora pricing and design patterns
Introduction to DynamoDB, components of DynamoDB, DynamoDB pricing and design patterns
What is Amazon Redshift, advantages of Redshift
What is ElastiCache, why ElastiCache.

Management and Application Services

Introduction to CloudFormation
CloudFormation components
CloudFormation templates
The concept of Infrastructure-as-a-code
Functions and pseudo parameters
Introduction to Simple Notification Service, how does SNS work
Introduction to Simple Email Service, how does SES work
Introduction to Simple Queue Service, how does SQS work.

Access Management and Monitoring Services

Pre-IAM, why access management
Amazon Resource Name (ARN), IAM features
Multi-factor authentication (MFA) in IAM, JSON
IAM policies, IAM permissions, IAM roles, identity federation, pricing
Introduction to CloudWatch, metrics and namespaces, CloudWatch architecture, dashboards in CW
CloudWatch alarms, CloudWatch logs, pricing and design patterns
Introduction to CloudTrail, tracking API usage.

Automation and Configuration management

What is AWS Lambda
How Lambda is different from EC
Benefits and limitations of Lambda
How does Lambda work
Use cases of Lambda, Lambda concepts
Integration S with Lambda
What is Elastic Beanstalk, how does Beanstalk work, Beanstalk concepts, Beanstalk pricing
What is configuration management
What is AWS OpsWorks, AWS OpsWorks benefits
CloudFormation vs OpsWorks, services in OpsWorks
AWS OpsWorks Stacks, OpsWorks pricing.

AWS Migration

What is Cloud migration
Why migration is important
Migration process in AWS, the R’s migration strategy
Virtual machine migration, migrating a local vm onto the AWS cloud
Migrating databases using Database Migration Service (DMS)
Migrating a local database to RDS
Migrating an on-premises database server to RDS using DMS, other migration services.

Module 3 – Introduction to Cloud & Distributed Computing

The Long-Term Vision of Cloud Computing
What is Cloud Computing? Defining a cloud, Essential characteristics, a closer look to Cloud, The cloud computing reference model.
Cloud Deployment Models, Characteristics and benefits, Challenges Ahead
Historical developments, 1950s to 2020
Core Technologies in Cloud Development: Distributed systems (Cluster Computing, Grid Computing and mainframe computing), Virtualization, Web 2.0, Service orientation, Utility computing.

Module 4 – Parallel Computing

Motivating Factor: Human Brain, The Need And Feasibility of Parallel Computing
Moore’s Law
Elements of Parallel Computing: Factors affecting parallel system performance, Parallel Programming Models,
Computational Power Improvement, Two Eras of Computing, Hardware architectures for parallel processing, Dependency Analysis & Conditions of Parallelism, Levels of Software Parallelism in Program Execution, Software Parallelism Types, Performance of Parallel Algorithms,
Laws of cautions, The Goal of Parallel Processing, Amdahl’s Law, Gustafson’s Law, Communication Cost Model. Demonstration for parallel application performance and its impacts

Module 5 – Distributed Computing

Distributed computing system, Characteristics, Goals, Components of a distributed system
Architectural styles for distributed computing: Software architectural styles, System architectural styles, Client-server, peer to peer, Parallel vs Distributed Systems, RPC.

Module 6 – Interoperability and Service Monitoring

Issues with interoperability
Vendor lock-in
Interoperability approaches
SLA Management
Metering Issues, and Report generation.

Module 7 – Resource Management and Load Balancing

Distributed Management of Virtual Infrastructures
Server consolidation
Dynamic provisioning and resource management
Resource Optimization, Resource dynamic reconfiguration
Scheduling Techniques for Advance Reservation
Capacity Management to meet SLA Requirements, and Load Balancing
Various load balancing techniques.

Module 8 – Migration and Fault Tolerance

Broad Aspects of Migration into Cloud
Migration of virtual Machines and techniques
Fault Tolerance Mechanisms.

Job Readiness

Job Search Strategy
Resume Building
Linkedin Profile Creation
Interview Preparation Sessions by Industry Experts
Mock Interviews
Placement opportunities with 400+ hiring partners upon clearing the Placement Readiness Test.

Module 9 - Python

Introduction to Python and IDEs – The basics of the python programming language, how you can use various IDEs for python development like Jupyter, Pycharm, etc.
Python Basics – Variables, Data Types, Loops, Conditional Statements, functions, decorators, lambda functions, file handling, exception handling ,etc.
Object Oriented Programming – Introduction to OOPs concepts like classes, objects, inheritance, abstraction, polymorphism, encapsulation, etc.
Hands-on Sessions And Assignments for Practice – The culmination of all the above concepts with real-world problem statements for better understanding.

Module 10 - DevOps

DevOps Fundamentals & Infrastructure Setup

Introduction to DevOps & Software Lifecycle
What is the importance of DevOps
DevOps on Cloud
DevOps Lifecycle & tools

Version Control with Git

What is Version Control?
Types of Version Control System
Introduction to SVN
Introduction to Git
Architecture of Git
Common Git Commands
Working with remote repositories
Branching and Merging
Resolving Merge Conflicts
Git Workflow
Git Methodology
Git plugin with IDE (Eclipse) to add more points
Working with Github

Configuration Management using Chef, Ansible

Introduction to Configuration Management
Introduction to Ansible and Chef
Ansible Architecture
Setting up Master-Slave using Ansible
Working with Ansible Playbook
Ansible Modules and Roles
Working with Ansible on Cloud
Automating continuous Integration

Continuous Testing using Selenium

What is Continuous Testing?
What is Maven?
Introduction to Selenium
Running Test Cases on Chromium Web Driver
What is Headless Mode?

Continuous Integration with Jenkins

Introduction to Continuous Integration
Jenkins `-Slave Architecture
Understanding CI/CD Pipelines
Creating an end to end automated CI/CD Pipeline

Continuous Monitoring using ELK

What is ELK?
Components of ELK
ELK Flow
Features of ELK
ELK installation

Job Readiness

Job Search Strategy
Resume Building
Linkedin Profile Creation
Interview Preparation Sessions by Industry Experts
Mock Interviews
Placement opportunities with 400+ hiring partners upon clearing the Placement Readiness Test.

Module 11 - Data Virtualization

What is Virtualization?
Virtualization is not a new concept. Evolution of Virtualization.
Type of Virtualization
Server-based Virtualization
Hypervisor-based Virtualization
Type 1 v/s Type 2
Full v/s Para
Virtual machine lifecycle
Virtual machine image: Structure, formats
Virtual machine instance: Public cloud specific instance, allocating resources to
virtual machine instance, networking in virtual machine, Amazon Machine Instance
VM Application
Container Based Virtualization
Container lifecycle
Container image : Structure, formats
Container instance: Allocating resources to container instance
Networking in containers
Unikernels: Structure, formats, allocation, networking in Unikernels
Difference between VM, Containers and Unikernels
Network Function Virtualization (NFV)

Module 12 - Kubernetes

Application Design and Build

Define, build and modify container images
Understand Jobs and CronJobs
Understand multi-container Pod design patterns (e.g. sidecar, init and others)
Utilize persistent and ephemeral volumes

Application Deployment

Define, build and modify container images
Define, create and monitor the application
Creating and Exposing application using the Kubernetes Manifest Blocks
Managing applications deployed in Pods

Application observability and maintenance

Understand API deprecations
Implement probes and health checks
Use provided tools to monitor Kubernetes applications
Utilize container logs
Debugging in Kubernetes

Application Environment, Configuration and Security

Discover and use resources that extend Kubernetes (CRD)
Understand authentication, authorization and admission control
Understanding and defining resource requirements, limits and quotas
Understand ConfigMaps
Create & consume Secrets
Understand ServiceAccounts
Understand SecurityContexts

Module 13 - Docker

Introduction to Docker
Storing Data in Docker
Docker Compose
Container Orchestration
Networking in Docker
Docker Monitoring
Introduction to Kubernetes
Kubernetes Architecture
Introduction to Pods and Services

Module 14 - Terraform

Introduction to Terraform

Fundamentals of IAC (Infrastructure-as-Code)
Overview of DevOps SDLC Stack
Infrastructure Provisioning Tools – Terraform and its Benefits

Terraform Installation

Installation of Terraform
Plugin-based Architecture
Terraform Multiple Provider

Terraform Configuration Management

HCL (HashiCorp Configuration Language)\
Configuring Files
Building Code
Variables
Terraform Data Types
Structural

Module 15 - DevOps on AWS

Continuous Monitoring using Prometheus
Prometheus Security and Use Cases
Log Server and alerting in Nagios
Software Lifecycle automation using AWS
Automating Infrastructure using CloudFormation
Application Deployment using Elastic Beanstalk
Application Deployment and Orchestration using ECS, ECR and EKS

Module 16 - DevSecOps

Securing SDLC and CI/CD Pipeline
Software Component Analysis (SCA) in CI/CD Pipeline
Static Analysis (SAST) in CI/CD Pipeline
Dynamic Analysis (DAST) in CI/CD Pipeline
Infrastructure as Code and it’s security
Compliance as Code
Vulnerability Management

Job Readiness

Job Search Strategy
Resume Building
Linkedin Profile Creation
Interview Preparation Sessions by Industry Experts
Mock Interviews
Placement opportunities with 400+ hiring partners upon clearing the Placement Readiness Test.

Module 17 - Azure DevOps

Introduction to Microsoft Azure
Introduction to ARM & 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
Infrastructure Setup
Introduction to DevOps
Continuous Testing
Continuous Integration using Jenkins
Software Version Control
Continuous Deployment: Containerization with Docker
Containerization with Docker: Ecosystem and Networking
Configuration Management using Ansible
Continuous Orchestration using Kubernetes
Terraform Modules & Workspaces
Azure DevOps and Azure Repos
Azure Artifacts and Azure Test Plans
Azure Pipelines
Azure Boards
Terraform with Azure

Self Paced

MAVEN
SONARQUBE
XLDEPLOY
TEAMCITY
JFROG
MS BUILD
NEXUS
NPM
ELK

Module 18 – Azure Data Engineering

1. Non-Relational Data Stores and Azure Data Lake Storage

1.1 Document data stores
1.2 Columnar data stores
1.3 Key/value data stores
1.4 Graph data stores
1.5 Time series data stores
1.6 Object data stores
1.7 External index
1.8 Why NoSQL or Non-Relational DB?
1.9 When to Choose NoSQL or Non-Relational DB?
1.10 Azure Data Lake Storage

Definition, Azure Data Lake-Key Components, How it stores data? Azure Data Lake Storage Gen2, Why Data Lake? Data Lake Architecture

2. Data Lake and Azure Cosmos DB

2.1 Data Lake Key Concepts
2.2 Azure Cosmos DB
2.3 Why Azure Cosmos DB?
2.4 Azure Blob Storage
2.5 Why Azure Blob Storage?
2.6 Data Partitioning: Horizontal partitioning, vertical partitioning, Functional partitioning
2.7 Why Partitioning Data?
2.8 Consistency Levels in AzureCosmos DB: Semantics of the five-consistency level

3. Relational Data Stores

3.1 Introduction to Relational Data Stores
3.2 Azure SQL Database – Deployment Models, Service Tiers
3.3 Why SQL Database Elastic Pool?

4. Why Azure SQL?

4.1 Azure SQL Security Capabilities
4.2 High-Availability and Azure SQL Database: Standard Availability Model, Premium Availability Model
4.3 Azure Database for MySQL
4.4 Azure Database for PostgreSQL
4.5 Azure Database for MariaDB
4.6 What is PolyBase and Why PolyBase?
4.7 What is Azure Synapse Analytics (formerly SQL DW): SQL Analytics and SQL pool in Azure Synapse, Key component of a big data solution, SQL Analytics MPP architecture components

5. Azure Batch

5.1 What is Azure Batch?
5.2 Intrinsically Parallel Workloads
5.3 Tightly Coupled Workloads
5.4 Additional Batch Capabilities
5.5 Working of Azure Batch

6. Azure Data Factory

6.1 Flow Process of Data Factory
6.2 Why Azure Data Factory
6.3 Integration Runtime in Azure Data Factory
6.4 Mapping Data Flows

7. Azure Data Bricks

7.1 What is Azure Databricks?
7.2 Azure Spark-based Analytics Platform
7.3 Apache Spark in Azure Databricks

8. Azure Stream Analytics

8.1 Working of Stream Analytics
8.2 Key capabilities and benefits
8.3 Stream Analytics Windowing Functions: Tumbling window, Hopping Window, Sliding Window, Session Window

Job Readiness

Job Search Strategy
Resume Building
Linkedin Profile Creation
Interview Preparation Sessions by Industry Experts
Mock Interviews
Placement opportunities with 400+ hiring partners upon clearing the Placement Readiness Test.