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.
Bag attractive offers with an average salary of per year
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.
..... Read more100 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 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 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.”
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.
..... Read moreHave no Cloud experience and don't know where to start?
Our program covers a wide range of topics ranging from Linux fundamentals, cloud platforms (AWS, Azure, GCP) and security to serverless computing and more.
With an emphasis on multi-cloud engineering, our program provides in-depth modules on AWS, Azure, and GCP, giving you a competitive edge.
The program includes modules on DevOps practices and automation, empowering you to implement efficient, automated processes.
Get equipped with skills to plan, execute, and manage migration and master interoperability between Cloud providers.
Go beyond traditional cloud engineering and learn to leverage the power of AI and machine learning within the Cloud environment.
Master cloud architecture security, compliance, monitoring, and remediation to ensure robust protection of cloud-based systems and data.
Gain proficiency in Google Cloud (GCP) integration in addition to AWS and Azure and gear up to work seamlessly in multi-cloud environments.
Get internship-like exposure to real-world projects along with guidance from experienced mentors and build industry-relevant experience.
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.
Gain proficiency in the principles, command line, system administration, and customization of Linux.
Develop a solid foundation in Python programming, covering syntax, data types, modules, and error handling.
Grasp the fundamentals of cloud computing, including services, architecture, and resource management.
Acquire expertise in AWS networking services, VPN connectivity, content delivery, and security.
Learn about AWS database services, such as RDS, DynamoDB, and Redshift, for data storage and management.
Explore Azure networking services, VPN connectivity, and content delivery for optimal performance.
Master Azure compute and storage services, including virtual machines and disks.
Understand DevOps principles, tools, and automation techniques for efficient and collaborative development.
Learn about security features, compliance standards, and governance practices in AWS and Azure.
Learn about Azure architecture and deployment practices to design and implement scalable solutions.
Explore cost optimization strategies, pricing models, and monitoring tools to manage and optimize costs.
Understand backup and disaster recovery strategies, tools, and services for ensuring data protection and business continuity.
Develop skills in Azure administration, including resource management, network configuration, security, and more.
Master Azure networking concepts, virtual networks, and database services for efficient data management.
Acquire knowledge of Azure security features, compliance frameworks, and governance practices.
Explore serverless computing, container technologies, and tools in Azure for scalable and efficient development.
Understand AI concepts and applications in cloud computing, including chatbot development and predictive analytics.
Learn to build SaaS applications using cloud platforms like Azure and AWS, focusing on CRM and project management.
Dive deeper into GCP, covering topics such as custom VPC, instance management, and storage types.
Compare providers, explore multi-cloud integration, and learn about hybrid architecture and cost optimization.
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:
Automate the Amazon EBS snapshots lifecycle for data migration and disaster recovery for better backup compliance using Amazon DLM
Set up private and accessible peering connection between VPC_1 and VPC_2 for EC2 instances
Use CloudFormation to launch an Amazon EC2 instance and automate Apache webserver installation
Build a pipeline that builds and deploys container applications to Amazon ECR and detects changes to source code
Learn how to set yourself apart in the competitive Cloud computing marketplace and win opportunities to land high-paying Cloud jobs.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Learning Objective:
Learn to use various compliance standards and frameworks that AWS supports, and learn to ensure your AWS environment that meets these standards.
Learning Objective:
Learn how to set up and configure your AWS environment for monitoring and logging, and other services to collect and analyze data.
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.
Learning Objective:
Learn to set up and configure your AWS serverless computing environment, including using automation tools such as AWS SAM and AWS CloudFormation.
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.
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.
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.
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.
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.
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.
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.
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.
Learning Objective:
Get familiar with Azure architecture, key components, services, design and deployment, security, and compliance to meet business needs.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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:
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:
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:
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:
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:
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:
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.
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.
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