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Cloud Engineer Job Oriented Program

#No. 1 Job Oriented Program

Prepzee’s Cloud Master training has been curated to help you master the domain of AWS, Python and DevOps. This will help you become a multi-cloud expert.

  • Learn from the leading industry experts with experience
  • Get practical exercises to supplement theoretical learning
  • Learn advanced tools to analyze and interpret data

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Career Transition

This program is for you if

Program Overview

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    100+ Hours of Live Training

    Real-time Job oriented training approach to make you industry ready.

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    90+ Hours Hands-on & Exercises

    Learn by doing 100’s of labs in your learning journey.

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    10+ Projects & Case Studies

    Get a feel of cloud professionals by doing real-time projects.

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    Learn from the Top 1% of Experts

    Instructors are Amazon Authorized & Microsoft certified trainers.

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    Lifetime Live Training Access

    Attend multiple batches until you achieve your Dream Goal.

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    24*7 Technical Support

    Call us, E-Mail us whenever you stuck.

What You will Learn in the Program?

  • Module 1

    TOP 30 Linux commands you’ll actually use in your life

    3 Hours
    • Linux basic commands
    • Commands for working with files
    • Commands for working with Directories
    • Commands for working with User Permissions
    • Commands for working with Zipped files
  • Module 2

    Understand Networking Fundamentals

    3 Hours
    • Types of Networks
    • Fundamentals of IP Address
    • Fundamentals of Switch & Router
    • How does the subnet work?
    • Understanding Firewalls
    • DMZ & Port Forwarding
  • Module 3

    Python Programming

    12 Hrs
    • Introduction to Python
    • Numbers, Strings, List, Tuple, Directory
    • Loops, Functions, Classes
    • Functions in Python
    • File Operations, Table Operations
    • Importing Library using PIP, Condo etc.
  • Module 4

    Concept of Cloud Computing

    3 Hours
    • Why Cloud Computing?
    • What is Cloud Computing?
    • Virtualization Concepts
    • Different Cloud Models
    • Cloud Application Services
    • IAAS, PAAS, SAAS
  • Module 5

    Clear AWS Solutions Architect Certification

    30 Hours
    • Start your cloud Journey with AWS Services
    • EC2 – Most used AWS Service
    • IAM – Identity Access Management
    • S3 – Simple Storage Service
    • Auto Scaling
    • EBS, EFS, Lambda
    • RDS, Dynamo DB, Amazon Redshift
    • VPC, Route53, Cloudfront
  • Module 6

    Execute 3 Real-Time Projects on AWS

    10 Hours
    • Project 1 : Design Infrastructure to Host the Web Application
    • Project 2 : Build a Serverless Web Application
    • Project 3 : Build an Amazon Connect Call Center
  • Module 7

    AWS Soln Architect Certification Preparation

    5 Hours
    • Solve AWS Solutions Architect Associates Sample Exam Papers
    • Multiple Quizzes
    • Mock Certification Exam
  • Module 8

    DevOps Certification Training

    40 Hour
    • Introduction to DevOps
    • Version Control with GIT
    • Containerization using Docker
    • Configuration Management using Ansible
    • Continuous Testing using Selenium
    • Continuous Integration with Jenkins
    • Continuous orchestration using Kubernetes
    • Continuous Monitoring with ELK
    • Terraform Modules and Workspaces
  • Module 11

    Execute 3 Real-Time Projects on DevOps

    10 Hours
    • Project 1 – Create an Application with an API and deploy it to Kubernetes
    • Project 2 – Use Docker Containers to deploy a containerized application
    • Project 3 – Create a Monitoring Dashboard for an Application
  • Final Module

    Capstone Project

    10 Hours
    • Work on a Major Project where you will be using AWS with DevOps to build an end-to-end Solution.

Program Creators

Neeraj

Amazon Authorised Instructor

14+ Years of experience

Sidharth

Amazon Authorised Instructor

15+ Years of experience

Nagarjuna

Microsoft Certified Trainer

12+ Years of experience

KK Rathi

Microsoft Certified Trainer

17+ Years of experience

Where Will Your Career Take Off?

  • Cloud Architect

    Design complex cloud architectures spanning AWS and Azure, integrating DevOps principles, and leveraging Python for automation.

  • Solution Architect

    Create end-to-end solutions combining AWS, Azure services with DevOps practices and Python for seamless integration

  • Infrastructure Engineer

    Manage cloud infrastructure on AWS, Azure, utilizing DevOps practices, and automating tasks with Python scripting

  • Cloud Consultant

    Offer expertise in AWS, Azure, DevOps, and Python to advise businesses on cloud strategies, architecture, and optimization.

  • Automation Engineer

    Automate tasks, deployments on AWS, Azure using DevOps practices, and Python scripting for efficient workflow automation.

  • Cloud Engineer

    Design, deploy, and manage cloud solutions across AWS and Azure, implementing DevOps practices for efficient operations

Skills Covered

Tools Covered

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Placement Overview

  • 500+
    Career Transitions
  • 9 Days
    Placement time
  • Upto 350%
    Salary hike
  • Download report

Cloud Engineer Job Oriented ProgramLearning Path

Course 1

online classroom pass

Linux and Python Scripting

A module on Linux and Python Scripting is designed to equip with essential skills in leveraging the Linux operating system and utilizing Python for scripting purposes. The module typically covers fundamental Linux commands, file system navigation, and basic shell scripting. It also delves into Python scripting, focusing on syntax, data structures, and common scripting tasks

1.1: Introduction to Linux Operating System

1.2: Command Line Interface (CLI) Essentials

1.3: User and Group Management

 

 

2.1 : Practical exercises and assignments for mastering Linux commands
Command Line Mastery:

  • Hands On:
  • Exercises focusing on everyday CLI usage
  • Script Writing: Basics of Shell Scripting for Automation
  • System Administration Tasks: Setting up a Web Server, Creating Cron Job

 

  • 3. 1: Introduction to Python Programming
  • 3. 2: Why do we need Python?
  • 3. 3: Program structure in Python
  • 3. 4: Execution steps
  • 3. 5: Interactive Shell
  • 3. 6: Executable or script files.
  • 3. 7: User Interface or IDE
  • 3. 8: Flow Control
  • 3. 9: Boolean Operators
  • 3.10: Comparison Operators
  • 3. 11: Binary Boolean Operators
  • 3. 12: The not Operator
  • 3. 13: Data Types and Operations

 

 

  • 4. 1: Numbers
  • 4. 2: Strings
  • 4. 3: List
  • 4. 4: Tuple
  • 4. 5: Dictionary
  • 4. 6: Other Core Types
  • 4. 7: Changing Values in a List with Indexes
  • 4. 8: List Concatenation and List Replication
  • 4. 9: Using for Loops with Lists
  • 4. 10: Removing Values from Lists with del Statements
  • 4. 11: Pattern Matching with Regular Expressions
    Regular Expression Matching
  • 4. 12: Finding Patterns of Text with Regular Expressions
  • 4. 13: Grouping with Parentheses
  • 4. 14: Matching Multiple Groups with the Pipe
  • 4. 15: Matching Zero or More with the Star
  • 4. 16: Matching Specific Repetitions with Curly Brackets
  • 4. 17: Case-Insensitive Matching
    Statements and Syntax in Python

 

 

  • 5. 1: Backslash on Windows and Forward Slash on OS X and Linux
  • 5. 2: Absolute vs. Relative Paths
  • 5. 3: Finding File Sizes and Folder Contents
  • 5.4:Open/Read/Write/Append into file
  • 5. 5: Using Files
  • 5. 6: Copying Files and Folders
  • 5. 7: Libraries
  • 5. 8: Importing a library using PIP, CONDO etc
  • 5. 9: Math
  • 5. 10: Numpy
  • 5. 11: Working with RDBMS
  • 5. 12: Connection to Database
  • 5. 13: Cursor Creation
  • 5. 14: Fire Query & Collect results from Tables/Queries
  • 5. 15: Insert Data into Tables
  • 5. 16: Bulk Insert into Tables
  • 5. 17: Procedure Calls with Arguments & Collect Result Values
  • 5. 18: Debugging
  • 5. 19: Raising Exceptions

 

 

  • 6. 1: Getting the Traceback as a String
  • 6. 2: Assertions
  • 6. 3: Logging Module
  • 6. 4: Logging to a File
  • 6. 5: IDLE’s Debugger
  • 6. 6: Breakpoints
  • 6. 7: Working with CSV Files and JSON Data
  • 6. 8: CSV Module
  • 6. 9: Reading Data from Reader
  • 6. 10: Objects in a for Loop
  • 6. 11: Writer Objects
  • 6. 12: The delimiter and line terminator Keyword Arguments
  • 6. 13: JSON Module
  • 6. 14: Reading JSON with the loads() Function
  • 6. 15: Writing JSON with the dumps() Function
  • 6. 16: Multithreading
  • 6. 17: Running Other Python Scripts

 

Course 2

online classroom pass

AWS Solutions Architect

AWS Solutions Architect Certification Training Course will familiarize you with AWS Architecture, different models of Cloud Computing, VPC, AMI, EBS, ELB; you learn to set up an AWS account, launch an EC2 instance as well as a Linux Virtual Machine with the help of that.

1.1: What is AWS?

1.2: What is Cloud Computing?

1.3: Cloud Computing Service and Deployment Models

1.4: AWS vs. Azure vs. GCP

1.5: AWS Services

1.6: Benefits of AWS

1.7: AWS: Cloud Computing Products

1.8: AWS S3, VPC, EC2 Overview

1.9: Introduction to EBS, AMI, ELB

1.10: AWS Management Console

1.11: AWS Architecture

1.12: Virtualization 

1.13: AWS Account Overview

1.14: What is Auto-Scaling?

1.15: AWS Cloudshell

 

  • Hands On:
  • Creating your AWS Free Tier Account
  • Launching EC2 Instance and Linux Virtual Machine
  • Hosting a Website
  • Exploring Console
  • Configuring CLI

2.1: Introduction to Amazon Elastic Compute Cloud (EC2)

2.2: Benefits of EC2

2.3: EC2 Instance Types

2.4: Public IP vs. Elastic IP

2.5: Introduction to Amazon Machine Image (AMI)

2.6: Hardware Tenancy – Shared vs. Dedicated

2.7: Introduction to EBS

2.8: EBS Volume Types and Snapshots

2.9: Solid State Drive and Hard Disk Drive

2.10: Introduction to EFS

2.11: Difference between EBS and EFS

2.12: Amazon FSx

2.13: AWS Batch

  • Hands On:
  • Creating a Linux and Windows Based EC2 Instance
  • Creating Custom AMI
  • Copying AMI to another region
  • Creating EBS volume
  • Attaching EBS volume with an instance
  • Taking backup of EBS volume
  • Attaching EFS Volume to an EC2 Instance
  • Creating Snapshot
  • Mounting FSx into Windows Servers

 

3.1: Why move to Cloud Storage?

3.2: Traditional vs. Cloud Storage: Comparing Cost

3.3: Introduction to AWS Storage

3.4: Amazon S3 Architecture

3.5: Working of Simple Storage Service (S3)

3.6: Bucket Policy

3.7: Version Control in S3

3.8: S3: Policies, Storage Classes, and Pricing

3.9: S3 Select and S3 Glacier Select

3.10: Access Control List

3.11: Cross Region Replication (CRR)

3.12: Lifecycle Policy of S3 Bucket

3.13: AWS Backup

3.14: CloudFront

3.15: Snowball

3.16: Amazon Athena and Macie

  • Hands On:
  • Creating S3 Bucket
  • Object Upload to S3 Bucket
  • Object Versioning in S3
  • Establishing Lifecycle Management for all objects
  • Static Website Hosting through S3
  • Facilitate transfer and retrieval of data from Glacier
  • Creating a Backup Vault
  • Sharing File through AWS Storage Gateway

4.1: Introduction to Amazon VPC

4.2: Components of VPC: Route Tables, NAT, Network Interfaces, Internet Gateway

4.3: Benefits of VPC

4.4: CIDR Notations

4.5: IP Addresses

4.6: Network Address Translation: NAT Gateway, NAT Devices, and NAT Instance

4.7: VPC Peering with Scenarios

4.8: VPC: Types, Pricing, Endpoints, Design Patterns

4.9: Direct Connect and Private Link

4.10: Bastion Host and Auto Scaling

4.11: AWS Global Accelerator

4.12: AWS Transit Gateway

  • Hands On:
  • Creating a VPC, its subnets, and attaching it to an EC2 Instance
  • Building triad architecture with security groups
  • Using VPC Peering by connecting two instances in different VPCs
  • NAT Gateway, NACL, and Internet Gateway 

5.1: Introduction to Elastic Load Balancer

5.2: Types and Features of ELB

5.3: Components and Benefits of Application Load Balancer

5.4: Tripartite comparison between Application, Network, and Classic Load Balancer

5.5: Cross-Zone Load Balancing

5.6: Load Balancer Architecture

5.7: Auto-Scaling: Introduction, Components, Types, Groups, Lifecycle, and Benefits

5.8: Launch Configurations/Launch Templates

5.9: Load Balancer and Auto Scaling

5.10: Working of DNS

5.11: Route 53: Need and Working

5.12: Routing Policies

  • Hands On:
  • Creating a Classic, Network, or Application ELB
  • Creating and Configuring an Auto-Scale Group
  • Integrating ELB with Auto Scaling
  • Making use of Launch Template for creating ASG

6.1: Introduction to Databases

6.2: Types of Databases

6.3: Introduction to Amazon Relational Database Service (RDS)

6.4: Features and Pricing of and Read Replicas in RDS

6.5: Amazon Aurora: Introduction, Pricing, Design Patterns, and Benefits

6.6: Amazon Redshift: Introduction and Advantages

6.7: DynamoDB: Introduction, Components, Design Patterns, and Pricing

6.8: Introduction to ElastiCache

  • Hands On:
  • Launching and Modifying an RDS instance
  • Data Caching using Amazon ElastiCache
  • Creating an Aurora replica, a Multi-az Deployment, and an Aurora DB Cluster
  • Conducting CRUD operations on No-SQL Database
  • Creating a DynamoDB Table

 

7.1: Introduction to Identity Access Management (IAM)

7.2: Introduction to Amazon Resource Name (ARN) and Multi-Factor Authentication (MFA) in JSON and IAM

7.3: IAM: Policies, Roles, Permissions, Pricing, and Identity Federation

7.4: IAM: Groups, Users, Features

7.5: Introduction to Resource Access Manager (RAM)

7.6: AWS Single Sign-On (SSO)

7.7: Introduction to CloudTrail 

7.8: Introduction to CloudWatch: Architecture, Pricing, Metrics and Namespaces, Design Patterns, Alarms, Dashboards, and Logs

7.9: AWS Directory Service

  • Hands On:
  • Creating IAM users, a group, a policy, and a role
  • Creating CloudWatch dashboard
  • Building a log group, billing alarm, and a trail
  • Configuring Secure Authentication Access Mechanism through Amazon Cognito

8.1: Introduction to AWS CloudWatch

8.2: What is AWS Config

8.3: Introduction to AWS CloudTrain and Control Tower

8.4: What are AWS Organizations and License Tower

8.5: Introduction to AWS Service Catalog and Systems Manager

8.6: What is AWS Personal Health Dashboard

  • Hands On:
  • Conducting an audit of Amazon Cloud Services through AWS CloudTrail
  • Application Metrics monitoring through CloudWatch Dashboard

9.1: Introduction to AWS Simple Email Service (SES) and Simple Notification Service (SNS)

9.2: Working of SES and SNS

9.3: Working with Amazon Simple Queue Service

9.4: Comparison between Amazon SNS and SQS

9.5: Amazon MQ and Amazon Event Bridge

9.6: Amazon Simple Workflow Service (SWF)

9.7: Introduction to AWS Lambda, AWS Fargate, AWS Step Functions, AWS Elastic Beanstalk, AWS CloudFormation

9.8: Amazon Elastic Transcoder, Amazon Kinesis, and Amazon Workspaces

9.9: Advantages and Disadvantages of AWS Lambda

9.10: Elastic Beanstalk: Working, Pricing, Concepts

9.11: Introduction to AWS OpsWorks

  • Hands On:
  • Creating Lambda function and Setting up Lambda triggers and destinations
  • Monitoring EC2 instance status through the combination of SNS and EventBridge
  • Using AWS StepFunctions to create Workflows
  • Creating an Elastic Beanstalk application
  • Using JSON and YAML to create Cloud Formation templates
  • Creating a stack in OpsWorks
  • Using Beanstalk for Web Application deployment with DynamoDB

10.1: Introduction to AWS Well-Architected Framework

10.2: Designing a Well-Architected Framework 

10.3: Pillars of AWS Well-Architected Framework

10.4: How to build Highly Available and Fault Tolerant Architectures

10.5: Deciding upon Resilient Storage

10.6: Designing Decoupling Mechanisms and Multi-tier Architecture Solution

10.7: Introduction to Disaster Recovery and ways to implement the same

10.8: Guaranteeing Performance Efficiency through Selection, Review, and Monitoring

  • Hands On:
  • Website designing using Serverless Architecture

 

11.1: What is SageMaker?

11.2: Key features and benefits

11.3: Use cases and applications

11.4: Overview of SageMaker Studio

11.5: Setting up SageMaker Studio

11.6: Data cleaning and preprocessing

11.7: Handling missing data

11.8: Feature scaling and normalization

11.9: Exploratory Data Analysis (EDA) using SageMaker

11:10: Visualizing and understanding your data

 

 

Course 3

online classroom pass

DevOps Course

Get familiar with cloud computing and understand what is DevOps. Learn the basics of software development and its lifecycle and install DevOps Tools in the cloud. Learn about the DevOps Tools and get knowledge of the DevOps lifecycle.

1.1: What is cloud computing

1.2: What is Software Development?

1.3: Software Development Life Cycle

1.4: Traditional Models for SDLC

1.5: What is DevOps?

1.6: Why DevOps?

1.7: DevOps Lifecycle

1.8: DevOps Tools

  • Hands On:
  • DevOps architecture
  • DevOps lifecycle
  • DevOps tools
  • Software development

2.1: EC2 Walkthrough

2.2: Installation of DevOps Tools in the Cloud

  • ELK
  • Git
  • Puppet
  • Docker
  • Selenium
  • Ansible
  • Jenkins
  • Kubernetes

3.1: What is Version Control?
3.2: Types of Version Control System
3.3: Introduction to SVN
3.4: Introduction to Git
3.5: Git Lifecycle
3.6 : Common Git Commands
3.7 : Working with Branches in Git
3.8 : Merging Branches
3.9 : Resolving Merge Conflicts
3.10 : Git Workflow

  • Hands On:
  • Git Life cycle Commands
  • Stashing Code in Git
  • Creating, Deleting Git Branches
  • Pushing Code to GitHub
  • Reverting a Push to GitHub
  • Using Git to merge branches
  • Using Git rebase to merge branches
  • Using git merge tool to resolve merge conflicts 

 

4.1: Introduction to Docker

 4.2: Understanding Docker Lifecycle

 4.3: Components of Docker Ecosystem

 4.4: Common Docker Operations

 4.5: Creating a DockerHub Account

 4.6: Committing changes in a Container

 4.7: Pushing a Container Image to DockerHub

 4.8: Using Dockerfile to create Custom Docker Images

  • Hands On:
  • Common Docker Operations
  • Creating a DockerHub Account
  • Committing Changes to a Container
  • Pushing container to DockerHub
  • Creating Local Image Repository
  • Building an Image using Dockerfile

 

5.1: What is Ansible?

 5.2: Ansible vs Puppet

 5.3: Ansible Architecture

 5.4: Using Ansible to set up Master-Slave 

 5.5: Ansible Playbook

 5.6: Ansible Roles

 5.7: Using Ansible for applying configuration 

  • Hands On:
  • Installing Ansible on AWS
  • Creating a Playbook using YAML
  • Creating an Ansible Role
  • Using Roles in Playbook

 

6.1:Branching and Merging with Git

6.1:Resolving Merge Conflicts

6.1:Utilizing Stashing, Rebasing, Reverting, and Resetting in Git

6.1:Understanding Git Workflows

6.1:Introduction to Maven and Its Uses

6.1:Exploring Maven Architecture

6.1:Introduction to Continuous Integration Principles

  • Hands On:
  • Applying Branching and Merging Techniques in Git
  • Managing Merge Conflicts
  • Implementing Stashing, Rebasing, Reverting, and Resetting in Git
  • Configuring Maven for Project Management

 

7.1: Introduction to Continuous Integration

 7.2: Jenkins Master-Slave Architecture

 7.3: Understanding CI/CD Pipelines

 7.4: Creating an end-to-end automated CI/CD Pipeline

  • Hands On:
  • Creating a Jenkins Master-Slave on AWS
  • Installing Plug-ins in Jenkins
  • Creating Jenkins Builds
  • Creating Scheduled Builds
  • Triggering Jobs using Git Webhooks
  • Using the Pipeline Plugin in Jenkins

 

8.1: Introduction to Kubernetes

 8.2: Docker Swarm vs Kubernetes

 8.3: Kubernetes Architecture

 8.4: Deploying Kubernetes using Kubeadms

 8.5: Alternate ways of deploying Kubernetes

 8.6: YAML Files

 8.7: Creating a Deployment in Kubernetes using YAML

 8.8: Services in Kubernetes

 8.9: Ingress in Kubernetes

 8.10: Case Study – Kubernetes Architecture

  • Hands On:
  • Setting up Kubernetes using kubeadm
  • Installing Kubernetes using kops and GCK
  • Creating a Deployment
  • Creating Services
  • Creating an Ingress
  • Demonstrating the use of Ingress, services, and deployments together

9.1: What are volumes?

 9.2: Types of volumes

 9.3: Persistent volumes

 9.4: Introduction to secrets

 9.5: Taints and tolerations

 9.6: Introduction to Federation

 9.7: Kubernetes Monitoring

 9.8: Setting up Prometheus

 9.9: Setting up Grafana

  • Hands On:
  • Creating volumes
  • Creating Persistent Volumes
  • Creating and working with secrets, Taints, and Tolerations
  • Controlling clusters from the outside
  • Setting up and working with Prometheus
  • Setting up and working with Grafana

10.1: Introduction to Prometheus and Grafana

10.2: Setting up Prometheus and Grafana

10.3: Utilizing Prometheus for Monitoring

10.4: Visualization Techniques with Grafana Dashboards

10.5 : Creating Pipelines Monitoring Dashboard

  • Hands On:
  • Service Monitoring with Prometheus
  • Implementing Alerts with Prometheus
  • Dashboard Creation in Grafana
  • Pipeline Monitoring Techniques                       

 

11.1: What is Infrastructure as a code

 11.2: IaC vs Configuration Management

 11.3: Introduction to Terraform

 11.4: Installing Terraform on AWS

 11.5: Basic Operations in Terraform

  • init
  • plan
  • apply
  • destroy

11.6 : Terraform Code Basics

 11.7 : Deploying an end-to-end architecture on AWS using Terraform

Hands-on:

  • Installing Terraform
  • Initializing AWS Terraform Provider
  • Creating an EC2 instance using Terraform
  • Updating changes to EC2 using Terraform
  • Destroying EC2 using Terraform
  • Deploying EC2 inside a custom VPC using Terraform

 

12.1: HCL (HashiCorp Configuration Language) basics

12.2: Defining providers in Terraform

12.3: Configuring provider-specific settings

12.4: Defining resources in Terraform

12.5: Common resource types

12.6: Understanding Terraform state

12.7: Managing state files
Using variables in Terraform

12.8: Variable types and scope

12.9: Introduction to modules

12.10: Creating and using modules

12.11: Configuring remote backends for state storage

12.12: Using AWS S3 or other backends

12.13: Utilizing data sources in Terrafor

12.14: Querying external data

12.15: Organizing Terraform code

12.16: Code structuring and naming conventions

12.17: Version control with Terraform

  • Hands On:
  • Create a simple module for a specific resource type (e.g., VPC).
  • Use the module in a main Terraform configuration.
  • Configure a remote backend, such as an AWS S3 bucket.
  • Initialize and apply your Terraform configuration using the remote backend.
  • Use a data source to retrieve information from an existing AWS resource (e.g., an AMI ID).
  • Integrate the data source into your Terraform configuration
  • Refactor your existing Terraform code following best practices.
  • Implement version control for your Terraform code using Git.

 

 

13.1: Understanding code quality and its importance

13.2: Installation and setup of SonarQube

13.3: Configuring projects in SonarQube

13.4: Analyzing code with SonarQube

13.5: Interpreting SonarQube analysis results

13.6: Addressing code issues identified by SonarQube

13.7: Utilizing quality gates for automated quality control

13.8: Integrating SonarQube into CI/CD pipelines

13.9: Managing and maintaining SonarQube instance

13.10: Best practices for effective usage of SonarQube

 

 

Interview Preperation

Online classroom pass

CV, INTERVIEW PREP & LINKEDIN PROFILE UPDATE

CV, Interview Prep & LinkedIn Profile Update. Elevate your professional presence with strategic CV crafting, expert interview preparation, and a polished LinkedIn profile. Sharpen your personal brand and stand out in the competitive job market with this invaluable career development resource.

  • 1. 1: CV PREPARATION
  • 1. 2: INTERVIEW PREPARATION
  • 1. 3: LINKEDIN PROFILE UPDATE
  • 1. 4: EXPERT TIPS & TRICKS

Learn Projects & Assignments Handpicked byIndustry Leaders

Our tutors are real business practitioners who hand-picked and created assignments and projects for you that you will encounter in real work.

That’s what They Said

  • Stam Senior Cloud Engineer at AWS
    Amit Sharma Manager at Visa

    Enrolling in the Cloud Master Course by Prepzee was a game-changer for me. The comprehensive curriculum covering AWS, DevOps, Azure, and Python gave me a holistic understanding of cloud technologies. The hands-on labs were invaluable, and I now feel confident navigating these platforms in my career. Prepzee truly delivers excellence in cloud education. The balance between theory and practical application was perfect, allowing me to grasp complex concepts with ease. I'm grateful for the opportunity to have learned from industry experts through this course.

    Kashmira Palkar Manager - Deloitte
  • Abhishek Pareek Technical Manager Capgemini.
    I enrolled in the Cloud Master Course at Prepzee with a focus on DevOps and Azure certification. This comprehensive course provided me with a wealth of pointers and resources, equipping me to adeptly manage my ongoing projects in DevOps, Kubernetes, Terraform, and Azure. The course's insights were instrumental in leading my DevOps team effectively, while also enhancing my grasp of Azure's intricacies. The support team's responsiveness and efficient issue resolution further elevated my learning experience. I highly recommend the Cloud Master Course for anyone seeking to master the dynamic interplay of DevOps, Azure, Kubernetes, and Terraform.
    Nishant Jain Senior DevOps engineer at Encora
    Vishal Purohit Product Manager at Icertis
  • Ranjith Senior Developer at CISCO

    I wanted a comprehensive cloud education, and the Cloud Master Course at Prepzee delivered exactly that. The course content was rich and well-presented, catering to both beginners and those with prior knowledge. The instructors' passion for the subject was evident, and the hands-on labs helped solidify my understanding. Thank you, Prepzee!

    Komal Agarwal Manager EY

    Prepzee's Cloud Master Course exceeded my expectations. The course materials were detailed and insightful, providing a clear roadmap to mastering cloud technologies. The instructors' expertise shone through their teachings, and the interactive elements made learning enjoyable. This course has undoubtedly been a valuable asset to my professional growth.

    Abhishaily Srivastava Product Manager - Amazon

Cloud Engineer Job Oriented Program Fees

Live Online Classroom
  • 21/07/2024 - 20/10/2024
  • 8:00 pm TO 11:00 pm IST (GMT +5:30)
  • Online(Sat-Sun)
Original price was: $599.00.Current price is: $450.00.
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12 Hours left at this price!

Corporate Training

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Cloud Engineer Certification

Get Certified after completing this course with Prepzee

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Frequently Asked Questions

Prepzee Cloud Engineer Training offers expertise in multi-cloud environments covering AWS, Python, and DevOps. With comprehensive knowledge, you'll design and implement innovative solutions, becoming a highly sought-after multi-cloud expert in today's competitive tech industry. This training is comprehensive, with all concepts placing more focus on those that are important. You successfully developed the skill set required to become a Cloud Master. Upon conclusion of the lessons, you have your hand's meaningful experience working on projects based on the AWS Big Data concepts and real-world assignments. The training equips you to confidently apply for jobs in leading MNCs of the world at impressive pay. With Prepzee, you get lifetime access to course materials, videos, 24/7 support, and updated versions of the course minus extra fees. It is undoubtedly a wise one-time investment.

Prepzee offers 24/7 support to resolve queries. You raise the issue with the support team at any time. You can also opt for email assistance for all your requests. If not, a one-on-one session can also be arranged with the team. This session is, however, only provided for six months starting from your course date.

All instructors at Prepzee are certified experts with over twelve years of experience relevant to the industry. They are rightfully the experts on the subject matter, given that they have been actively working in the domain as consultants. You can check out the sample videos to ease your doubts.

Prepzee provides active assistance for job placement to all candidates who have completed the training successfully. Additionally, we help candidates prepare for résumé and job interviews. We have exclusive tie-ups with reputed companies.

Projects included in the training program are updated and hold high relevance and value in the real world. Projects help you apply the acquired learning in real-world industry structures. Training involves several projects that test practical knowledge, understanding, and skills. High-tech domains like e-commerce, networking, marketing, insurance, banking, sales, etc., make for the subjects of the projects you will work on. After completing the Projects, your skills will be synonymous with months of meticulous industry experience.

Prepzee's Course Completion Certificate is awarded once the training program is completed, along with working on assignments, real-world projects, and quizzes, with a least 60 percent score in the qualifying exam.

Actually, no. Our job assistance program intends to help you land the job of your dreams. The program offers opportunities to explore competitive vacancies in the corporates and look for a job that pays well and matches your profile and skill set. The final hiring decision will always be based on how you perform in the interview and the recruiter's requirements.

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