Project Based Multi-Cloud Engineer Bootcamp

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

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Become a Skilled Multi-Cloud Engineer

Looking to capitalize on the fast-growing demand for 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 Cloud Engineer Bootcamp, you will specialize in the highest paying technologies on the market including AWS, Microsoft Azure, Google Cloud Platform (GCP), Kubernetes, Docker, Lambda, Docker, Python, and others, in an immersive, hands-on experience, and gear up to be among the best and highest paid.

In just about eight months, not only will you get prepared for the real world, but you will also develop the strategy to set yourself apart in the fast-growing and competitive Cloud Computing market, regardless of whether you’re just starting out or are a seasoned pro looking to take your Cloud expertise to the next level. Build immediately demonstrable skills in our 32-week intensive hands-on program as you build up a solid portfolio of Cloud projects to impress recruiters with.

Learn by doing and become an expert across multi-cloud migrations and deployments, web services and API management, performance testing, identity access management, autoscaling, disaster recovery, database management, and more. Gear up to ace nine different AWS, Azure, and GCP certification exams including AWS Certified Cloud Practitioner (CLF-C02), AWS Certified SysOps Administrator - Associate (SOA-C02), AWS Certified Solutions Architect - Associate (SAA-C03), Google Cloud Digital Leader, Microsoft Azure Fundamentals (AZ-900), Microsoft Azure Administrator (AZ-104) and Designing Microsoft Azure Infrastructure Solutions (AZ-305)Microsoft Security, Compliance, and Identity Fundamental (SC-900) and Certified Cloud Security Professional (CCSP), and validate your technical skills and cloud expertise.

Did we mention that you'll also be gearing up with the skills to land a job across the 30 most in-demand Cloud roles? Designed to get you job-ready for a diverse set of roles ranging from AWS/Azure Cloud Infrastructure Engineer, Cloud Operations Engineer, Cloud Network Engineer, and Cloud Security Engineer to Cloud Architect and Cloud Administrator among others, our bootcamp helps you spruce up your project portfolio with real-world capstone projects as you learn, practice, and master everything multi-cloud in real, safe AWS, Azure and GCP practice environments.

Our power-packed project-based immersive learning program features a carefully curated curriculum, a rigorous weekly learning cycle including best-in-class live training by industry experts, on-demand learning, auto-graded assessments, plenty of hands-on exercises and assignments with Cloud Labs, industry case studies, simulations of real-world Cloud projects, mock exams, career coaching, mock interviews and more.

Bootcamp Highlights

  • 100 Hours of Live Instructor-Led Training

  • 80+ Hours of On-Demand Learning

  • 10 Industry-Grade Capstone Projects

  • 70 Hours Hands-On with Cloud Labs

  • 258 Guided Hands-On Exercises

  • 22 Auto-Graded Assignments

  • 100+ Assessments, 10 Case Studies

  • 4 Mock Interviews by Industry Experts

  • Gear Up for 9 Certifications (AWS, Azure and GCP)

  • Comprehensive Career Support and Certification Prep

Kingson Jebaraj

Cloud Engineering Program Director

Kingson Jebaraj
Program Director, Cloud Programs, KnowledgeHut

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
Program Director, Cloud Programs, KnowledgeHut

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 EventBridge
  • Amazon AWS Opswork
  • Amazon AWS SNS
  • Amazon AWS WAF
  • Azure CDN
  • Azure Cosmos
  • Azure Traffic Manager
  • Amazon AWS DynamoDB
  • GCP Google Cloud Platform
  • Lambda
  • AWS Cloudformation
  • AWS Cloudfront
  • AWS Cloudtrail
  • AWS Elastic Beanstalk
  • AWS Elastic Block Store
  • AWS IAM Identity Access Management
  • AWS KMS Key Management Service
  • AWS Redshift
  • AWS Route 53
  • AWS SQS Simple Queue Service
  • AWS EMR Elastic Map Reduce

Tap into the Rising Demand for Cloud Professionals

benefits of Cloud Engineer Bootcamp

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.

Companies are no longer talking about potential migration to the Cloud - they are already there! The global Cloud services market is projected to reach USD 1.2 Trillion by 2027, marking an impressive 18% annual growth rate. 90% of companies use some type of cloud services, of which 93% have a multi-cloud strategy utilizing multiple public or private cloud services.

With this growth comes incredible demand, from businesses big and small, for skilled Cloud professionals who are able to design and manage Cloud systems that can run on multiple cloud platforms, giving companies the ability to choose the best platform for specific workloads and avoid vendor lock-in. And this demand is only accelerating. There is a significant talent gap of 28.5% for Cloud professionals across the globe, particularly for profiles such as Cloud Engineers, Cloud Administrators, and other Cloud-associated IT professionals who work with AWS and Azure.

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

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The KnowledgeHut Edge

Comprehensive Curriculum

Our program covers a wide range of topics ranging from Linux fundamentals, cloud platforms (AWS, Azure, GCP) and security to serverless computing and more.

Multi-Cloud Focus

With an emphasis on multi-cloud engineering, our program provides in-depth modules on AWS, Azure, and GCP, giving you a competitive edge.

Emphasis on DevOps and Automation

The program includes modules on DevOps practices and automation, empowering you to implement efficient, automated processes.

Migration and Interoperability

Get equipped with skills to plan, execute, and manage migration and master interoperability between Cloud providers.

Next-Gen Technologies in Cloud

Go beyond traditional cloud engineering and learn to leverage the power of AI and machine learning within the Cloud environment.

Focus on Cloud Security

Master cloud architecture security, compliance, monitoring, and remediation to ensure robust protection of cloud-based systems and data.

Integration of Google Cloud

Gain proficiency in Google Cloud (GCP) integration in addition to AWS and Azure and gear up to work seamlessly in multi-cloud environments.

The MENTORNSHIP Opportunity

Get internship-like exposure to real-world projects along with guidance from experienced mentors and build industry-relevant experience.

Your Path to Becoming a Skilled Cloud Engineer

Bootcamp image

Course Authors and Instructors

Our industry-validated curriculum is designed with inputs from our Software Engineering Advisory Board comprised of industry veterans and renowned experts and authors. The program is delivered by top instructors with several years of experience under their belt.

Eshant Garg

Cloud Architect, Microsoft Certfied Trainer

Ajay Kumar Lodha

Cloud Architect

Anand Rao Nednur

Cloud Architect

Prashant Pandey

Solution Architect, Data Engineer

Dikkama Reddy Bollavaram

Technical Architect, Azure Architect

Ankush Choudhary

Cloud Engineer

Ahmed Fouad

Network Infrastructure Architect

Ahad Sanji

Azure Data Engineer

Kennedy Lekettey

Senior Cloud Solutions Architect

Amod Kadam

Cloud Architect

Ramasamy Panchavarnam

Google/AWS Cloud Trainer

Jagan R

DevOps & AWS Trainer

Ashu Jauhari

AWS Certified Solutions Architect

Ayushi Verma

AWS Certified Solution Architect

Jatin Goel

Senior Technical Trainer


Hariniya B

DevOps & AWS Trainer

Sajid Akram

AWS Authorized Instructor

Bhavesh Atara

VMware Certified Corporate Trainer

Ravi Kulkarni

DevOps and Cloud Trainer

Mo George Blankson

Microsoft Azure Trainer


Amit Singhwal

Amazon Web Services Solutions Architect

Abedulraheem Essam

Cloud Consultant-AWS Authorized Instructor

Hafiz Imran

Microsoft Azure Trainer

Henrique Alve

AWS Authorized Instructor Champion

Sanjay Sharma

AWS Solution Architect Professional

Nejmeddine BenOuarred

APIGEE Authorized Trainer


Cloud Computing Instructor


Biswanath Giri

Google Cloud Architect


Vikash Kumar

Microsoft Certified Trainer -MCT


Praveen Tej

Cloud Architect, Master Trainer

prerequisites for Cloud Engineer Bootcamp

Prerequisites and Eligibility

  • You must be a Graduate from any discipline with over a year's work experience (learners must have scored at least 55% in their graduate degree courses to be eligible for the program)
  • 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

Database Administrators

QA Testers


Beginner Cloud computing professionals

Professionals from any industry

What You Will Learn

Master Linux

Gain proficiency in the principles, command line, system administration, and customization of Linux.

Build Python Programming Skills

Develop a solid foundation in Python programming, covering syntax, data types, modules, and error handling.

Learn Cloud Engineering Basics

 Grasp the fundamentals of cloud computing, including services, architecture, and resource management.

Master AWS Networking and Content Delivery

Acquire expertise in AWS networking services, VPN connectivity, content delivery, and security.

Gain Proficiency in AWS Databases

Learn about AWS database services, such as RDS, DynamoDB, and Redshift, for data storage and management.

Master Azure Networking and Traffic Management

Explore Azure networking services, VPN connectivity, and content delivery for optimal performance.

Master Azure Compute

Master Azure compute and storage services, including virtual machines and disks.

Master DevOps and Automation

Understand DevOps principles, tools, and automation techniques for efficient and collaborative development.

Master Security, Compliance and Governance

Learn about security features, compliance standards, and governance practices in AWS and Azure.

Master Architecture Deployment

Learn about Azure architecture and deployment practices to design and implement scalable solutions.

Master Cost Optimization

Explore cost optimization strategies, pricing models, and monitoring tools to manage and optimize costs.

Master Backup and Disaster Recovery

Understand backup and disaster recovery strategies, tools, and services for ensuring data protection and business continuity.

Master Azure Administration

Develop skills in Azure administration, including resource management, network configuration, security, and more.

Master Network and Databases Management

Master Azure networking concepts, virtual networks, and database services for efficient data management.

Master Security, Compliance and Governance

Acquire knowledge of Azure security features, compliance frameworks, and governance practices.

Master Serverless Computing and Automation

Explore serverless computing, container technologies, and tools in Azure for scalable and efficient development.

Master AI in Cloud Computing

Understand AI concepts and applications in cloud computing, including chatbot development and predictive analytics.

Build SaaS Applications in the Cloud

Learn to build SaaS applications using cloud platforms like Azure and AWS, focusing on CRM and project management.

Get Introduced to GCP

Dive deeper into GCP, covering topics such as custom VPC, instance management, and storage types.

Master Multi-Cloud with GCP

Compare providers, explore multi-cloud integration, and learn about hybrid architecture and cost optimization.

Skills You Will Gain

Linux proficiency

Python programming

Cloud engineering

AWS networking

AWS and Azure database management

Provisioning, deployment and management of apps

AWS and Azure storage

DevOps and automation

Security, compliance, and governance

Monitoring, logging, and remediation

Data management and protection

Serverless computing, containers, and automation

Azure networking

Azure administration and integration

Azure monitoring and backup strategies

Azure architecture and deployment

Cost optimization

Migration between AWS and Azure

Backup and disaster recovery

Leveraging AI and ML in cloud computing

Google Cloud Platform (GCP) foundation

Integration with GCP

Impress Recruiters With a Stellar Project Portfolio

Develop industry-grade projects using concepts learnt during the bootcamp and build a solid, job-worthy portfolio worthy of top tech companies. Land your dream job as a Multi-Cloud Administrator with ease. Here are some of the projects you will develop:

  • Disaster Recovery Reestablishing IT infrastructure

    Automate the Amazon EBS snapshots lifecycle for data migration and disaster recovery for better backup compliance using Amazon DLM

  • VPC Peering Networking Connection

    Set up private and accessible peering connection between VPC_1 and VPC_2 for EC2 instances

  • tripredictor
    AWS CLI Interface for AWS Services

    Use CloudFormation to launch an Amazon EC2 instance and automate Apache webserver installation

  • AWS CodePipeline Continuous Delivery Service

    Build a pipeline that builds and deploys container applications to Amazon ECR and detects changes to source code

Cloud Career Launch

Learn how to set yourself apart in the competitive Cloud computing marketplace and win opportunities to land high-paying Cloud jobs.

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 

Cloud Engineer Bootcamp Curriculum

Download Curriculum

Learning Objective:

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

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

Learning Objective:

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

  • 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 Objective:

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. 

  • 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 Objective:

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. 

Topics: Play Video
  • 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 Objective:

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. 

Topics: Play Video
  • Introduction to the Module 
  • Introduction to VPC 
  • VPC Components (Subnets, Route Tables, Network ACLs, 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 Objective:

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. 

Topics: Play Video
  • 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 Objective:

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.

Topics: Play Video
  • 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 Objective:

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.  

Topics: Play Video
  • 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 Objective:

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. 

Topics: Play Video
  • 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 Objective:

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

Topics: Play Video
  • 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 Objective:

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

Toipcs: Play Video
  • 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 Objective:

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. 

Topics: Play Video
  • Introduction to the Module 
  • Importance of Data and Classification 
  • Data Protection Using AWS KMS 
  • Encryption at Rest 
  • Encryption in Transit 

Learning Objective:

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

Topics: Play Video
  • 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 Objective:

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

Topics: Play Video
  • 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 Objective:

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. 

Topics: Play Video
  • 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 Objective:

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. 

  • Introduction to the Module 
  • Introduction to PowerShell 
  • Manage Resource Groups using PowerShell 
  • Working with Azure CLI locally 
  • Introduction to ARM templates 
  • Understanding JSON 
  • Interacting with VM Using PowerShell 
  • ARM Viz Tool 

Learning Objective:

In this module, you will build projects that will help you understand and configure virtual networks, network security groups, load balancers, and VPNs. You will need to choose the right database service and configure databases, using security and compliance features. 

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

Learning Objective:

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 Backup
  • Configure Azure Monitor 
  • Configure Virtual Machine Backup
  • Configure Azure Alerts 
  • Configure Log Analytics 
  • LRS vs GRS 

Learning Objective:

Gain a solid understanding of cloud security, compliance, and governance. Explore Azure Active Directory and Role Based Access Control (RBAC) for authentication and authorization. Compare AWS and Azure security services. Master techniques for ensuring data protection, access control, and regulatory compliance in the cloud.

  • Azure Active Directory 
  • Role-Based Access Control 
  • AWS Security Services Comparison with Azure 
  • Authentication and Authorization 

Learning Objective:

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 Objective:

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. 

  • Introduction to the Module 
  • Introduction to Disaster Recovery 
  • Backup and DR Concepts of Azure and AWS 
  • Different Types of DR 

Learning Objective:

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

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

Learning Objective:

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. 

  • 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 Objective:

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.

  • Introduction to the Module 
  • Introduction to Migration 
  • Multi-Cloud Migration Concepts 
  • Migration Services of Azure and AWS 

Learning Objective:

Explore advanced Artificial Intelligence (AI) in Cloud Computing. Gain a comprehensive introduction to AI and creative thinking. Discover chatbots with natural language processing and virtual assistants. Dive into computer vision and real-world AI use cases. Learn predictive analytics, including weather prediction.  

  • Introduction to AI  
  • Design and Creative thinking  
  • Chatbots (Natural Language Process, Speech-to-Text, Text-to-Speech)  
  • Fun learning with Alexa, Siri, and Other  
  • Computer Vision  
  • AI Use Cases and Best Practices  
  • Predictive Analytics (Weather Prediction)  
  • Discussion Panel  

Learning Objective:

Gain hands-on experience in building SaaS applications using Azure and AWS. Develop customer relationship management, project management, and accounting software applications in the Cloud. Learn best practices and real-world case studies to ensure successful deployment of these cloud-based solutions. 

  • Introduction to SaaS Application  
  • Build Customer Relationship Management application in Azure   
  • Build Project Management Application in AWS
  • Build Accounting Software in Azure  
  • Case Study and Best Practices 

Learning Objective:

Explore comprehensive cloud security principles and practices, including data security, infrastructure security, application security, compliance, risk management, identity and access management, and security architecture. Develop expertise in safeguarding cloud environments and effectively mitigating security threats. 

  • Cloud Data Security   
  • Cloud Platform and Infrastructure Security   
  • Cloud Application Security   
  • Cloud Security Operations   
  • Legal and Compliance   
  • Risk Management   
  • Identity and Access Management   
  • Security Architecture and Design 

Learning Objective:

Gain a foundational understanding of Google Cloud Platform (GCP) by exploring key topics such as navigating the GCP dashboard, understanding GCP regions and zones, managing IAM for budgeting, alerting, and monitoring, and comprehending billing and monitoring features. Develop the knowledge necessary to navigate and utilize GCP effectively. 

  • Dashboard Overview  
  • GCP Regions and Zones  
  • IAM: Budgeting Alerting and Monitoring  
  • IAM Overview  
  • Billing and Monitoring 

Learning Objective:

Acquire a solid foundation in Google Cloud Platform (GCP) through topics such as GCP compute, custom VPC, network address translation, storage types, object and buckets, managing object life cycle, GCP cloud security services, and Cloud IAM. Develop the skills necessary to effectively utilize GCP's compute and storage capabilities while ensuring robust cloud security practices. 

  • GCP Compute Introduction  
  • Custom VPC  
  • Network Address Translation in GCP  
  • Storage Types  
  • Persistent Disks and Local SSD  
  • Object and Buckets  
  • Managing Object Life Cycle  
  • GCP Cloud Security Services  
  • Cloud IAM  

Learning Objective:

Explore multi-cloud strategies with a focus on Google Cloud Platform (GCP). Compare cloud providers (AWS, Azure, GCP), learn about cloud interoperability, data management, hybrid architecture, multi-cloud operations, integration use cases, and cost optimization. Gain the skills to design and implement effective multi-cloud solutions using GCP alongside other cloud platforms. 

  • Multi-Cloud Strategy with GCP  
  • Cloud Provider Comparison Between AWS, Azure, and GCP  
  • Cloud Interoperability and Integration  
  • Data Management and Replication  
  • Hybrid Architecture Between Other Cloud and GCP  
  • Multi-Cloud Operations  
  • Use Cases for Multi-Cloud Integration  
  • Cost Optimization 

Learning Objective:

Prepare for a successful career in cloud engineering through targeted activities. Engage in mock interviews to refine interview skills and receive valuable feedback. Complete multiple revisions, practice mock exams, and prepare for certifications to enhance knowledge and boost confidence. 

  • Mock Interviews and Feedback 
  • Multiple Revisions, Mock Exams, and Certification Preparation 
  • Preparing to Face Interviews 
  • Resume Preparation, Portfolio Reviews 

Frequently Asked Questions

Cloud Engineer Program

By completing our comprehensive Multi-Cloud Engineer Bootcamp, you will have acquired an excellent knowledge of Linux, Python, AWS, Azure, and DevOps and be ready to land a job as a Cloud engineer in organizations that have deployed AWS, Azure, and GCP solutions. 

In particular, you will:

  1. Develop the ability to set up and configure cloud infrastructure, including virtual machines, storage, and networking.
  2. Gain expertise in cloud security and compliance, including understanding the different security threats that can affect cloud environments and implementing measures to prevent and mitigate these threats.
  3. Become familiar with the different cloud providers and their services, including Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform, and know how to choose the right provider for your organization's needs.
  4. Learn how to monitor and optimize cloud performance, including identifying potential issues and troubleshooting problems.
  5. Acquire the knowledge and skills necessary to manage and maintain cloud environments, including understanding the different types of cloud services and knowing when to use each type of service.

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 Engineer
  2. Cloud Architect
  3. DevOps Engineer
  4. Solutions Architect
  5. Cloud Operations Engineer
  6. Cloud Consultant
  7. Cloud Infrastructure Engineer
  8. Cloud Security Engineer
  9. Cloud Systems Administrator
  10. Cloud Network Engineer
  11. Cloud Database Administrator
  12. Cloud Developer
  13. AI/ML Engineer in the Cloud
  14. Cloud Project Manager
  15. Cloud Support Engineer
  16. Cloud Data Engineer
  17. Cloud Solutions Developer
  18. Cloud Integration Specialist
  19. Cloud Governance Manager
  20. Cloud Compliance Analyst
  21. Cloud Service Delivery Manager
  22. Cloud Business Analyst
  23. Cloud Capacity Planner
  24. Cloud Cost Analyst
  25. Cloud Automation Engineer
  26. Cloud Performance Engineer
  27. Cloud Application Support Engineer
  28. Cloud Deployment Specialist
  29. Cloud Training and Enablement Specialist
  30. Cloud Pre-Sales Engineer

The above-listed job roles require a deep understanding of cloud platforms such as AWS, Azure, and GCP, along with expertise in areas like networking, storage, security, automation, and AI/ML integration. Our Cloud Engineer Bootcamp provides a comprehensive skill set that aligns with the requirements of these job roles, enabling you to excel in your Cloud Engineering career. 

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 is bright for skilled Cloud Engineers 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 technology rapidly evolves, the demand for skilled Cloud professionals continues to grow. By completing our program, you'll acquire the knowledge and expertise to adapt to changing industry trends and emerging technologies. As a Multi-Cloud Engineer who is skilled at working with AWS, Microsoft Azure, as well as GCP, you stand to gain by adding immense value to enterprises with an in-demand Cloud engineering skillset.

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.

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; you should have scored at least 55% in your degree program
  • Knowledge of programming fundamentals is ideal, but it is not mandatory.
  • Basic knowledge of Linux OS is beneficial, 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.

Our comprehensive Multi-Cloud Engineer Bootcamp prepares you to excel in nine prestigious certification exams:

  1. AWS Certified Cloud Practitioner (CLF-C02)
  2. AWS Certified SysOps Administrator - Associate (SOA-C02)
  3. AWS Certified Solutions Architect - Associate (SAA-C03)
  4. Google Cloud Digital Leader
  5. Microsoft Azure Fundamentals (AZ-900)
  6. Microsoft Azure Administrator (AZ-104)
  7. Designing Microsoft Azure Infrastructure Solutions (AZ-305)
  8. Microsoft Security, Compliance Identity Fundamental (SC-900)
  9. Certified Cloud Security Professional (CCSP)

The program's content and hands-on exercises are designed to align with certification exam objectives, giving you the confidence and skills to successfully clear these certifications. On completing this extensive course, you will have validated your technical prowess and demonstrated your expertise in cloud technologies across AWS, Azure, and GCP. 

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 32 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. 

What Learners Are Saying

Cherie Degrasso Kubernetes Administrator
While I have been working with Kubernetes in a limited capacity, I felt that i lacked a holistic grasp knowledge when it comes to cloud computing domain. This Cloud Engineering bootcamp has given me a complete understanding of all tools and services required for more challenging roles in my domain.

Attended Cloud Engineer Bootcamp workshop in December

Marie Cheng IT Professional
This cloud engineering bootcamp has been a career-defining experience for me as I have always been enamored and intrigued by the cloud domain and the currently growing potential of that industry. I have been able to confidently appear for interviews in the cloud domain and am looking forward to a promising career.

Attended Cloud Engineer Bootcamp workshop in December

Neal Pinto IT Services Administrator
I have been an IT admin, but as services are getting automated, I was looking for a more challenging career role in the growing cloud domain. As my IT friends suggested, I wanted to work with AWS and Azure, which this bootcamp explores in great detail and has armed me with practical knowledge.

Attended Cloud Engineer Bootcamp workshop in December

Tom Scott IT Professional
I was a novice IT professional with limited knowledge of programming and I wanted to get into the booming cloud domain. This bootcamp has made me an expert in 26 weeks and now I can work with AWS and Azure platforms skillfully.

Attended Cloud Engineer Bootcamp workshop in December