Project-Based Multi-Cloud Engineer Bootcamp

Master AWS and Azure, Manage Web Services and APIs, & Get Hired as a Multi-Cloud Engineer

Bag attractive offers with an average salary of per year

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Become a Skilled Multi-Cloud Engineer

Looking to capitalize on the fast-growing demand for multi-cloud engineers who can enable enterprises to leverage a multi-cloud strategy and benefit from the flexibility to optimize performance, control cost, and avoid vendor lock-in? Look no further! With our Multi-Cloud Engineer Bootcamp, you will specialize in the highest paying technologies on the market including AWS, Microsoft Azure, Kubernetes, Docker, Lambda, Docker, Python, and others, in an immersive, hands-on experience, and gear up to be among the best and highest paid.

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Bootcamp Highlights

  • 84+ Hours of Live Instructor-Led Training

  • 79+ Hours of On-Demand Learning

  • 4 Industry-Grade Capstone Projects

  • 62+ Hours Hands-On with Cloud Labs

  • 188 Guided Hands-On Exercises

  • 11 Mini Projects, 21 Assignments

  • 74 Assessments, 2 Case Studies

  • 2 Mock Interviews by Industry Experts

  • Gear Up to Ace 6 AWS and Azure Certifications

Kingson Jebaraj

Multi-Cloud Engineering Program Director

Kingson Jebaraj
Founder and CEO, Pineal Technologies

Kingson is a Cloud expert and amongst the very few, if not the first ever, to have received the Most Valuable Professional credential from both Microsoft and Alibaba.

He brings on board a varied breadth and depth of experience across many industry verticals over more than two decades. He is also an author, blogger, and speaker and has worked with top-notch companies including Microsoft, Novartis, Pacific Controls UAE, and Alibaba Cloud. 

Kingson Jebaraj
Kingson Jebaraj
Founder and CEO, Pineal Technologies

Kingson is a Cloud expert and amongst the very few, if not the first ever, to have received the Most Valuable Professional credential from both Microsoft and Alibaba.

He brings on board a varied breadth and depth of experience across many industry verticals over more than two decades. He is also an author, blogger, and speaker and has worked with top-notch companies including Microsoft, Novartis, Pacific Controls UAE, and Alibaba Cloud. 

“We are excited to nurture Cloud professionals and prepare them for the Multi-Cloud Revolution that's only just begun. There's no doubt that only the most prepared will ride this wave.”

Tools and Technologies You Will Master

  • Linux Essentials
  • AWS Tools- New
  • Azure PowerShell
  • Microsoft Azure
  • Amazon AWS EC2
  • Amazon AWS Cloudwatch
  • Amazon AWS Opswork
  • Amazon AWS SNS
  • Amazon AWS WAF
  • Azure CDN
  • Azure Cosmos
  • Azure Traffic Manager
  • Amazon AWS Cloud Formation
  • Amazon AWS DynamoDB

Tap into the Rising Demand for Cloud Professionals

cloud-engineer-bootcamp-training

Cloud services provide superior business performance on various fronts including high-level computing, agile deployment, increased flexibility, increased scalability, better data security, and faster disaster recovery. The key driver for the market is that it provides huge cost benefits in comparison to conventional physical storage, saving 35% of the annual operation costs of enterprises.

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Have no Cloud experience and don't know where to start?

Contact Learning Advisor

The KnowledgeHut Advantage

The most effective project-based immersive learning experience

Immersive Learning

immersive-learning
  • On-demand videos
  • Guided hands-on exercises
  • Auto-graded assessments and recall quizzes
  • Assignments and projects

Learn by Doing

learn-by-doing
  • Learn to code. By actually coding.
  • Get project-ready with work-like experiences.
  • Learn on the job, like devs in tech companies.

Cloud Labs

cloud-labs
  • Access fully provisioned dev environment.
  • Virtual machine spinned up in minutes.
  • Write code right in your browser.

Outcome-Focused

outcome-driven-learning
  • Get advanced learner insights.
  • Measure and track skills progress.
  • Identify areas to improve in.

Blended Learning

blended-learning
  • On-demand, self-paced learning anytime.
  • Code review sessions by experts.
  • Access to discussion forums, community groups.

Your Path to Becoming a Skilled Multi-Cloud Engineer

Bootcamp image
Prerequisites

Prerequisites

  • You must be a Graduate from any discipline with over a year's work experience
  • Knowledge of programming fundamentals is nice to have, but not mandatory
  • Basic knowledge of Linux OS is ideal, but not mandatory
  • Anyone can learn Cloud with KnowledgeHut—all you need is the right aptitude, logical thinking, and drive for curiosity!

Who Should Attend the Cloud Engineering Bootcamp?

IT Professionals

DevOps Professionals

Kubernetes Administrators

Professionals from any industry

What You Will Learn

Cloud Fundamentals

Get a brief but critical introduction to Linux, Python, and Cloud Computing where you cover the fundamentals.

AWS Networking and Databases

Interact with VPC components, learn about EC2 and CloudFront, and manage AWS database elements. 

AWS Cloud Computing

Understand deployment and provisioning and the different use cases followed by AWS Storage Devices. 

DevOps and Automation

Get an understanding of DevOps tools and methodologies, delve deep into Docker and Kubernetes. 

AWS Security Compliance

Learn how to protect AWS databases with access management with AWS WAF, Shield, and Secrets Manager. 

Azure Networking and Traffic Management

Go in-depth into Azure networking concepts and Traffic Manager with different types of routing options. 

Azure Administration and Databases

Get started with PowerShell, manage resource groups, understand JSON and interact with VM using PowerShell. 

Azure Database Management

Learn about Azure network and databases with network peering and virtual network gateway. 

Backup and Disaster Recovery

Understand Disaster Recovery in AWS and Azure with Backup and different types of Disaster Recovery.  

Cost-optimization and Migration

Learn all the aspects of cost management in AWS and Azure Cloud and understand multi-cloud migration. 

Skills You Will Gain

Selecting Cloud Providers

Cloud Data Migration for Applications

Managing and Optimizing Cloud Workloads

Cloud Migration and Deployment

Cloud-based Database Management

Scaling Storage Resources on Cloud

Identity Access Management

Backup and Disaster Recovery

Cloud Career Launch

Learn how to set yourself apart in the competitive Cloud computing marketplace and win opportunities to land high-paying Cloud jobs. Put together an impressive profile and a stellar portfolio of projects you have deployed on the Cloud throughout the Bootcamp.

Career Planning and Coaching
  • Goal-Setting
  • Career Planning
  • Industry Expert Guidance 
Certification Preparation
  • Mock Exams, Mock Interviews
  • Certification Guidance
  • Interview Prep and Feedback 
Dedicated Job Support
  • Target In-Demand Cloud Roles
  • Resume Preparation, Portfolio Review
  • Comprehensive Placement Assistance 
Transform Your Workforce

Empower Your Workforce With Critical Cloud Skills

Give your team the skills they need to tackle modern Cloud roles, with deep skills coverage in Microsoft Azure and AWS. KnowledgeHut's Outcome-Based Immersive Learning program is designed for teams of all sizes and provides the best hands-on learning.

  • Immersive Learning
  • Learn by Doing Approach
  • Custom Training Solutions
  • Immediately Demonstrable Skills

500+ Clients

Multi-Cloud Engineer Bootcamp Curriculum

Learning Objectives:

Get started with the fundamentals of Linux OS, command line, file system, system admin, tools/utilities, packages/libraries, open-source software, and its impact. 

Topics
  • Introduction to Linux 
  • Files and Directories 
  • Linux Problem Solving Session 
  • Creating and Editing Files 
  • User, Group and Permissions 
  • Essential Linux Commands 

Learning Objectives:

Go further into Linux by understanding file permissions, using the command line, managing processes, networking basics, tools and utilities, and its role in networking. 

Topics
  • Other Essential Features 
  • Processes in Linux 
  • Shell Scripts 
  • Linux Problem Solving Session 
  • Networking concepts (DNS, TCP/IP, DHCP) 
  • Setting up your development environment 
  • Let's Build An App!

Learning Objectives:

Learn basics of Python such as syntax, data types, control structures, writing programs, common tasks, built-in data types, libraries, object-oriented programming, and error handling. 

Topics
  • Description: Learn basic Python Programming 
  • Introduction to Python 
  • Control Flow 
  • Lists 
  • Loops 
  • Functions 
  • Strings 
  • Use cases of Python in Cloud World 
  • Assessment: Code Challenge 
Video preview 4.

Learning Objectives:

Gain an understanding of cloud computing fundamentals, its key benefits, types of cloud services, architecture, usage and optimization. Also, experience the use of services and tools such as VMs, storage, networking and platforms for tasks like data analysis, web development and computing. 

  • Description: Introduction to Cloud Computing and Terminologies 
  • Cloud Introduction 
  • Virtualization Vs Cloud 
  • Introducing Major Cloud Providers and Terminologies 
  • Cloud Deployment Models 
  • Cloud Service Models 
  • JSON and GitHub introduction 
  • Core Services of Cloud (Compute, Storage, Network) 
  • Build your virtual environment (VMware, HyperV, VirtualBox) 
  • Assessment: Linux - Permissions, Processes and Networking 

Learning Objectives:

Use AWS networking services to create and manage virtual networks. Connect to on-site VPNs and Direct Connect and use CloudFront for low latency and high performance. 

  • Introduction to the module 
  • Introduction to VPC 
  • VPC Components (subnets, route tables, network ACL's, Internet gateway) 
  • AWS Network Services Introduction 
  • Sizing and IP address 
  • Subnets and CIDR Blocks 
  • Overview of NAT Gateway 
  • Security Groups and ELB 
  • Route 53 DNS Explained 
  • Introduction to EC2 
  • Introduction to CloudFront
Video preview 6.

Learning Objectives:

Learn to use various AWS database services to store, manage, and access data for applications and monitor performance with CloudWatch and other tools to troubleshoot issues. 

  • Introduction to Databases 
  • Relational Database Service in AWS 
  • Amazon ElastiCache 
  • Introduction to Amazon Aurora 
  • Overall Module Concept Revision (Whether the objective is met) 
  • Deploy RDS services in AWS 
  • Configure Policies in RDS 

Learning Objectives:

Learn to use AWS services to manage and optimize resources and gain knowledge on the features and benefits of EC2, Lambda and ECS to choose the right service for specific needs.

  • Introduction to Deployment and Provisioning 
  • Elastic Compute EC2 
  • ECS Deployments and RDS Deployments 
  • Different types of Instances and use cases 
  • Introduction to AWS Storage Services 
  • Disk types and Differences 
  • Autoscaling 

Learning Objectives:

Use AWS storage services such as S3, EBS and Glacier to store and manage data for apps. Also, set up, configure and secure resources to optimize performance and cost-effectiveness.  

  • Introduction to EBS 
  • Storage Classes 
  • Evolution of Storage 
  • Cloud Storage and Amazon Simple Storage Services (S3) 
  • S3 Lifecycle Policies 
  • Working with Amazon EBS and S3 
  • Backup and Recovery of EBS and S3 
  • Use cases for EBS and S3 storage 
Video preview 9.

Learning Objectives:

Use DevOps best practices for automating your environment include Infrastructure-as-Code and automated testing. Monitor and optimize performance with metrics and feedback for continuous improvement. 

  • Introduction to the module 
  • Introduction to DevOps 
  • DevOps tools and Methodologies 
  • Introduction to Dockers 
  • Introduction to Kubernetes 
  • Introduction to Infrastructure as a Code (IaC) 
  • IaC tools and Methodologies
Video preview 10.

Learning Objectives:

Learn to use various compliance standards and frameworks that AWS supports, and learn to ensure your AWS environment that meets these standards. 

  • Introduction to the module 
  • Introduction to AWS Security Services 
  • AWS Shared Responsibility Model 
  • Identity Access Management 
  • AWS WAF, AWS Sheild, AWS Secrets Manager 
  • Trusted Advisor Security Checks 

Learning Objectives:

Learn how to set up and configure your AWS environment for monitoring and logging, and other services to collect and analyze data.

  • Introduction to the module 
  • Introduction to AWS Monitoring Services 
  • Identify, collect, analyze and export 
  • Cloud Watch 
  • Amazon Event Bridge 
  • Amazon SNS (Simple Notification Service) 

Learning Objectives:

Get to know how to set up and configure your AWS data management and protection resources, including creating and managing data stores, backups, and replication. 

  • Introduction to the module 
  • Importance of Data and Classification 
  • Data Protection using AWS KMS 
  • Encryption at rest 
  • Encryption in transit 

Learning Objectives:

Learn to set up and configure your AWS serverless computing environment, including using automation tools such as AWS SAM and AWS CloudFormation.

  • Introduction to the module 
  • Introduction to AWS Elastic Container Service 
  • AWS Elastic Kubernetes Service (EKS) 
  • Working with Lambda 
  • AWS EC2 Image Builder 
  • AWS CloudFormation 
  • DynamoDB Deployments, LightSail and Batch, and Deployment Automation 
  • AWS OpsWorks and CloudFormation using a sample template 

Learning Objectives:

Gain the benefits of Traffic Management and security best practices to protect against possible threats. Also, monitor and optimize performance while meeting user needs. 

  • Introduction to the module 
  • Azure Network Introduction 
  • Azure DNS and Virtual Networks 
  • Azure Load Balancer (Public and Internal) 
  • Traffic Manager - Priority Routing 
  • Traffic Manager - Performance Routing 
  • Traffic Manager - Geographic Routing 
  • Traffic Manager - Weighted Routing 
  • Network Security Group 
  • Private DNS – Demo

Learning Objectives:

Learn to set up and configure your Azure compute and storage resources, including creating and managing virtual machines, disks, and data stores, and using automation tools such as Azure Resource Manager and Azure PowerShell. 

  • Deploy and manage azure compute and storage resources 
  • Introduction to the module 
  • Introduction to Azure Compute Services 
  • Create and Manage Virtual Machines 
  • Introduction to Azure Storage 
  • AWS Storage comparison to Azure Storage 
  • Storage Accounts 
  • Azure Files and Blobs

Learning Objectives:

Get familiar with Azure platform components, Azure portal and Resource Manager, virtual networks and security, monitoring and optimizing performance, pricing and billing, integrating Azure with on-site environments. 

Topics
  • Introduction to the module 
  • Introduction to PowerShell 
  • Manage Resource Groups using PowerShell 
  • Working with Azure CLI's locally 
  • Introduction to ARM templates 
  • Understanding JSON 
  • Interacting with VM using PowerShell 
  • ARM Viz tool 

Learning Objectives:

In this module, you will build projects that will help you: (1) understand and configure virtual networks, network security groups, load balancers and VPNs; (2) choose the right database service, and (3) configure databases, using security and compliance features. 

  • Introduction to Inter Connectivity 
  • Network Peering 
  • Virtual Network Gateway 
  • Express Route 
  • Database Services in Azure 
Video preview 18.

Learning Objectives:

Understand how to integrate Azure Monitor with other Azure services, and how to use these services to gain deeper insights into the performance and health of your Azure resources. 

Topics: Play Video
  • Configure File and Folder level backups 
  • Configure Azure Monitor 
  • Configure Virtual Machine Backups 
  • Configure Azure Alerts 
  • Configure Log Analytics 
  • LRS vs GRS 

Learning Objectives:

Gain an understanding of Azure serverless computing, including features, capabilities, automation, security, and cost optimization. Integrate with other Azure services to build end-to-end solutions and automate common tasks. 

  • App Service 
  • Containers vs Virtual Machines 
  • Container Orchestration 
  • Azure Kubernetes Services 
  • AKS and Azure AD 

Learning Objectives:

In this module, you will build projects and get familiar with backup and disaster recovery on AWS and Azure, including tools, services, design, implementation, integration, security, and compliance. You will learn how to choose the right strategy and plan for various disaster scenarios. 

Topics
  • Introduction to the module 
  • Introduction to Disaster Recovery 
  • Backup and DR Concepts of Azure and AWS 
  • Different types of DR 

Learning Objectives:

Get familiar with Azure architecture, key components, services, design and deployment, security and compliance to meet business needs.  

Topics
  • Architecture Pillars of Azure
  • Understanding Architecture Diagram
  • AWS CDN and Azure CDN Comparison 

Learning Objectives:

Gain knowledge of pricing models, cost monitoring and optimization, and best practices for cost optimization on AWS and Azure to reduce costs and maximize performance. 

Topics
  • Understand Cost Management in AWS and Azure Cloud 
  • Enable Billing Alerts and configure threshold 
  • Cost Explorer 
  • EC2 and Virtual Machine Pricing 
  • Trusted Advisor 
  • Cloud Selection Process 

Learning Objectives:

In this module, you will build projects and gain familiarity with AWS and Azure tools, services, and security features for migrating data and workloads between platforms and the ability to plan, assess and develop a migration strategy, and use services to run workloads. 

Topics
  • Introduction to the module 
  • Introduction to Migration 
  • Multi Cloud Migration Concepts 
  • Migration Services of Azure and AWS 

Frequently Asked Questions

Multi-Cloud Engineer Program

To enroll for the Multi-Cloud Engineer Bootcamp, you must:

  • Be a Graduate from any discipline with 1+ year of experience to be eligible for enrollment in this program.
  • Ideally have knowledge of programming fundamentals, but it is not mandatory.
  • Ideally have basic knowledge of Linux OS, but it is not mandatory.

Apart from the above, the right aptitude, logical thinking, and drive for curiosity are all you need. Leave the rest to us! 

The minimum recommended system requirement for attending the Multi-Cloud Engineer Bootcamp online is to have a workstation or laptop with at least 8GB of RAM and an internet connection.

All of the bootcamp instructors are experts in the cloud domain for relevant technologies such as AWS, Microsoft Azure, and other integral DevOps tools and technologies.

You will not need a background in programming to sign up for this bootcamp. If you are a graduate in any discipline, you can enroll in the bootcamp and become a Multi-Cloud Engineer in 26 weeks.

A cloud engineer essentially assists in creating, managing, monitoring, and protecting the cloud database for enterprises. On a daily basis, a cloud engineer does the following activities:

  • Deploying apps and creating databases over the cloud
  • Creating a secured cloud infrastructure
  • Configuring cloud infrastructure using network and security services
  • Migrating data from servers to cloud for applications
  • Migrating data between cloud platforms
  • Consulting on cost-based cloud decisions to optimize operations
  • Developing strategies for disaster management and recovery scenarios

Cloud computing services are essentials for companies for ensuring accessibility over the internet, managing data in a cost-effective manner.

Some of the integral cloud roles that you will be ready to crack after the Cloud Engineer bootcamp are:

  1. Cloud Support Engineer 
  2. Cloud Infrastructure Engineer 
  3. Cloud Operations Engineer 
  4. Cloud Consultant 
  5. Cloud Implementation Engineer 
  6. Cloud Administrator 
  7. Cloud Data Engineer 
  8. Cloud Network Engineer 
  9. Cloud Security Engineer 
  10. Azure Cloud Administrator 
  11. AWS Cloud Engineer 
  12. Cloud Digital Leader 
  13. IT Support Engineer 
  14. Cloud Associate 
  15. Cloud Support Specialist 
  16. Trainee - Cloud Computing Engineer 
  17. Desktop Support Engineer 
  18. Technical Support Engineer 
  19. IT Service Desk Engineer 
  20. Operations Support Specialists 
  21. L1 Support Engineer 
  22. Junior Cloud Engineer

& many more.

Some of the top companies that hire cloud engineers are:

1. AWS

2. Deloitte

3. Perficient

4. VMware

5. Salesforce

6. Accenture

7. Hashicorp

8. Microsoft

9. EY

10. PWC

The future scope for cloud engineers is very bright, as the global cloud professional services market is projected to grow at a CAGR of 17.2% by 2026. Looking at the trends of the recent past, 42% more cloud computing jobs were created between 2018 to 2021, and looking towards the future, a report jointly created by NASSCOM, Accenture, Draup and Tata Consultancy Services (TCS) suggests that 2 million cloud professionals will be required by 2025 across the world. As a cloud engineer who is skilled at working with AWS and Microsoft Azure, you can help enterprises in fulfilling this demand with an in-demand skill set.

Knowledge of programming languages is not crucial to be a successful cloud engineer, but it is ideal to have a fundamental knowledge of programming to accelerate your understanding of concepts during your cloud engineering bootcamp.

Apart from live, instructor-led sessions from industry experts and rich on-demand learning modules for enhanced concept clarity, we also provide career planning assistance with mock exams, mock interviews, interview preparation and feedback, portfolio creation for in-demand cloud roles, resume preparation, portfolio review, certification guidance from domain experts, as well as comprehensive placement assistance to ensure that you emerge successfully as a cloud engineer after this program.

The average annual salary for a beginner cloud engineer is $120,000. For an experienced cloud engineer who has attained recommended certifications can go up to $201,000.

Bootcamp Experience

Currently, all our Cloud Engineer Bootcamps are offered online as live, interactive, trainer-led sessions where you will get to learn directly from the trainer with opportunities to discuss and clear doubts. 

Our Cloud Engineering course is helmed by instructors who are experts in the domain of Cloud Engineer, with rich industry experience. You will learn fundamental concepts, practical aspects, and the best practices of the Cloud Engineering domain in the bootcamp. 

Our Cloud Engineer Bootcamp is delivered through a blended learning model that includes live, interactive, virtual classrooms and can be structured according to the requirements of the Bootcamp. The total duration of Live Instructor-led sessions for the Cloud Engineering Bootcamp is 22 weeks.

Our Cloud Engineering training is centered around interactive learning. Most of the class time is dedicated to hands-on exercises, lively discussions, and team collaboration - all facilitated by trainers who are experts in the respective disciplines within the domain of Cloud technology. The focus is on finding practical solutions to real-world scenarios in various project environments, both big and small. 

In an online classroom, students can log in at the scheduled time to a live learning environment that is led by an instructor. You can interact, communicate, view, and discuss presentations, and engage with learning resources while working in groups, all in an online setting. Our instructors for the course use an extensive set of collaboration tools and techniques that improve your online data training experience. 

Software Requirements

A web browser such as Google Chrome, Microsoft Edge Opera, Safari, or Firefox.

System Requirements

Any workstation or laptop with Internet access, with at least 8GB of RAM.

You have the option to pause the program for 14 days. Before rejoining, you would need to catch up with the Program by watching the recorded instructor-led sessions. You may opt for this option after discussing it with your Student Success Manager. 

You also have the option to defer a program, provided there is a valid reason offered to your Student Success Manager and is approved by the Program Director. Once you are back, you can discuss with your Student Success Manager to know which batch of the Cloud Engineering Bootcamp you can join.

Please contact your Learning Advisor for more information about this.