Cloud Computing and DevOps Certification Program (in collaboration with Purdue University)

Cloud Computing and DevOps Certification Program

In collaboration with Purdue University

• Extensive training in AWS, Azure, and Google Cloud featuring over 30 practical projects.
• Including GenAI and next-gen Cloud & DevOps
• 20 Week length program (6-8/week weekend classes)
• Ask us for the next cohort and schedule details!

This program prepares you with the essential technical expertise and hands-on training needed to excel in the fast-evolving Cloud and DevOps sectors. You'll gain real-world experience working with the top three cloud platforms: AWS, Microsoft Azure, and Google Cloud. Currently, AWS leads the public cloud market with a 32% share, followed by Azure at 23%, and Google Cloud at 11%.

You’ll begin by building a strong foundation in cloud computing and DevOps concepts, exploring key services from AWS and Azure, along with Linux fundamentals. You’ll then develop practical skills to design, deploy, and manage AWS cloud infrastructure and implement DevOps practices within the AWS environment.

Following that, the focus shifts to managing Azure cloud services and applying DevOps methodologies on the Azure platform. The program also introduces the influence of Generative AI on cloud technologies, while covering emerging trends like GitOps, FinOps, and AIOps.

Learning is delivered through a mix of theory and hands-on practice, including sandboxed labs, official self-paced courses, live online classes led by experts, and collaborative peer learning.

After completing the program, you’ll join Purdue’s prestigious alumni network

Key Features

• Course and material are in English
• in collaboration with Purdue University Online
• 20 weeks duration of live classroom hands-on training delivered by industry experts(6-8/week weekend classes)
• 100+ hours of live classes and mentor-led project support
• 50+ hours of self paced eLearning content
• 200+ hours of study time and practice recommended
• 1 year platform access & class recordings
• 30+ hands-on projects in sand-boxed labs, 20+ cloud services, and 200+ guided practice tests
• Dive into GenAI in the Cloud and cutting-edge fields such as GitOps, FinOps, IoT, AIOps, and more.
• Gain access to authorized learning materials from AWS and Azure, and earn an official Microsoft Azure certification.
• Slack-based peer-to-peer learning and engagement
• Join the prestigious Purdue University alumni community
• Flexible learning with session recordings and 24/7 access
• Dedicated cohort manager and mentoring sessions.
• Program completion certificate from Purdue University Online.

About Purdue University

Purdue University is a leading public research university known for creating practical solutions to some of today’s most pressing problems. Recognized by U.S. News & World Report as one of the top 10 Most Innovative Universities in the U.S. for four consecutive years, Purdue is at the forefront of groundbreaking research and innovation.

What added value does Purdue University contribute to the program?

The program curriculum is designed and reviewed with the assistance of the university, which gives the program quality legitimacy and a co-branded certificate of completion. Please be aware that the live classes are not held by actual University faculty staff but by many experienced Industry experts who are suitable for each topic.

Learning Objective

• Tap into Purdue’s global alumni network to enhance your career opportunities and expand your professional connections.
• Understand Core Cloud Concepts. Grasp the fundamentals of cloud computing, including service models (IaaS, PaaS, SaaS), deployment models, and shared responsibility.
• Gain Proficiency in Leading Cloud Platforms. Build hands-on skills in AWS, Microsoft Azure, and Google Cloud, focusing on compute, storage, networking, and security services.
• Master DevOps Principles & Tools. Learn DevOps lifecycle practices, CI/CD pipelines, and tools such as Jenkins, Docker, Kubernetes, Git, Ansible, Terraform, and more.
• Implement DevOps on AWS & Azure. Apply DevOps principles and automation on AWS and Azure platforms using real-world scenarios and best practices.
• Explore Emerging Technologies. Understand the role of GenAI in Cloud, and dive into FinOps, GitOps, AIOps, IoT in Cloud, and other evolving cloud-native technologies.
• Build and Manage Scalable Cloud Architectures. Learn to design, deploy, monitor, and manage scalable and secure cloud applications on AWS and Azure platforms.

Target Audience:

1. Working Professionals in IT/Software Development: Developers, system administrators, or engineers aiming to transition into cloud and DevOps roles.
2. Cloud Beginners and Career Changers: Individuals from non-cloud backgrounds who want to build foundational and practical knowledge in cloud computing and DevOps.
3. DevOps Engineers Looking to Upskill: Professionals already in DevOps roles who want hands-on experience with AWS, Azure, and GCP, and exposure to tools like GitOps, AIOps, and FinOps.
4. System Administrators & Network Engineers: Those managing infrastructure and networks seeking to move into cloud-based environments.
5. IT Project Managers & Technical Leads: Leaders overseeing development or infrastructure teams, looking to better understand DevOps workflows and cloud technologies.
6. Aspiring Cloud Architects & Solutions Engineers: Professionals working toward roles involving cloud design, deployment, and architecture across major platforms.
7. Software Testers & QA Professionals: Those interested in integrating continuous testing and CI/CD automation using DevOps tools.
8. Anyone Interested in Emerging Cloud Trends: Individuals keen to explore new areas like Generative AI in the Cloud, IoT, and AIOps within real-world enterprise contexts.

Prerequisites:

• Must be at least 18 years old.
• Have a high school diploma or equivalent qualification.

• Candidates with at least 1 year of relevant work experience are preferred, although not strictly mandatory.

• A technical or IT-related background is recommended to help grasp technical concepts more quickly.

• It’s advised to complete the self‑paced (on‑demand) course modules before attending live sessions, which also serve as a gating criterion for certification eligibility

Learning Path

1. Preparing for your Cloud and DevOps Journey
2. Fundamentals of Cloud Computing
3. Cloud Architecture with AWS
4. DevOps Lifecycle Management: CI/CD to Container Orchestration
5. DevOps on AWS
6. Next-Gen Cloud & DevOps - Emerging Technologies
7. Capstone Project on Cloud Computing & DevOps

Electives

1. Academic Masterclass by Purdue
2. Generative AI on Cloud
3. Cloud Administration and DevOps with Microsoft Azure
4. Cloud Architecture with Google Cloud

COURSE CONTENT DETAILS

COURSE 1: Preparing for your Cloud and DevOps Journey

• Master AWS Cloud Fundamentals: Build strong knowledge of core AWS services and cloud principles.
• Confidently Work with Azure: Learn the structure, management tools, and key functionalities of Microsoft Azure.
• Gain Linux Proficiency: Acquire vital skills in Linux system administration and command-line operations.

COURSE 2: Fundamentals of Cloud Computing

• Grasp Fundamental Cloud Concepts: Learn the basics of deployment types (public, private, hybrid), service models (IaaS, PaaS, SaaS), and important ideas like virtualization, scalability, and security.
• Recognize Key Cloud Services: Understand and distinguish between core services such as computing, storage, networking, and databases.
• Make Strategic Cloud Choices: Confidently select appropriate cloud deployment and service models tailored to your requirements, while understanding the impact of cloud adoption on your organization.

COURSE 3: Cloud Architecture With AWS

• Handle Compute Resources: Effectively use EC2, Lambda, and other compute services to run your applications.
• Manage Data Storage: Efficiently work with storage solutions like S3, EBS, and others to store and retrieve data.
• Set Up Networks: Design and implement secure, scalable networks using VPCs, subnets, and security groups.
• Deploy and Maintain Databases: Use services like RDS and DynamoDB to support your application’s database needs.
• Protect Your AWS Environment: Apply security best practices and control access using IAM.
• Monitor and Automate Operations: Keep track of your infrastructure with CloudWatch and streamline deployments through CloudFormation.

COURSE 4: DevOps Lifecycle Management CI/CD to Container Orchestration

• Streamline Software Delivery: Use Jenkins to build CI/CD pipelines that automate code integration, testing, and deployment.
• Automate Infrastructure Management: Leverage Ansible and Terraform for configuration automation and provisioning infrastructure as code.
• Containerize Applications: Use Docker to package applications and their dependencies for reliable, portable deployments.
• Manage Containers at Scale: Deploy and orchestrate containerized workloads efficiently with Kubernetes.
• Implement System Monitoring: Use Prometheus to monitor and gain insights into application and infrastructure performance.
• Automate Monitoring and Deployment: Utilize CloudWatch for infrastructure monitoring and CloudFormation to automate deployments.

COURSE 5: DevOps on AWS

• Automate Infrastructure Using IaC: Use CloudFormation to design and deploy infrastructure by creating and managing code templates for consistent resource provisioning.
• Build Automated CI/CD Pipelines: Develop and maintain CI/CD workflows with AWS CodePipeline and CodeBuild to enable efficient software delivery.
• Deploy and Orchestrate Containers: Package applications with Docker and manage them using Amazon ECS and Kubernetes on AWS.

COURSE 6: Next-gen Cloud & DevOps Emerging Technologies

• Grasp Advanced Cloud Concepts: Learn and apply modern cloud approaches such as multi-cloud strategies, serverless computing, and edge computing.
• Utilize Emerging Technologies: Discover and incorporate AI/ML, quantum computing, and IoT into cloud platforms.
• Enhance Cloud Efficiency: Apply DevOps practices, FinOps, and automation to create cost-effective and sustainable cloud solutions.

COURSE 7: Capstone Project on Cloud Computing & DevOps

The projects serve as the culmination of your learning journey, allowing you to demonstrate your skills to potential employers.Specialized mentoring sessions will guide you in tackling practical, industry-relevant challenges.

Project 1: Microservice Containerization With AWS CodePipeline and ECS Cluster

Configure a DevOps pipeline to automate continuous integration and delivery (CI/CD) for containerized microservices using AWS CodePipeline and ECS Cluster. This project includes handling complex build processes, code validation, and deployment to application servers.

Project 2: Automated Azure Web App Deployment With Containers

Automate the provisioning of infrastructure and deployment of microservices on Azure Cloud using Azure Web App Service and Pipelines. The project covers containerization and CI/CD automation

Project 3: Multi-Cloud Deployment for a Web Application

Build a DevOps pipeline to transition monolithic applications into microservices on AWS and Azure, using Jenkins and Ansible playbooks for automated deployments.

Elective Courses:

Elective 1: Academic Masterclass by Purdue University Online

• Join an engaging online masterclass to gain insights into the latest technological developments and methods in Cloud Computing and DevOps.
• Discover why Cloud Computing and DevOps are crucial for organizations and why investing in these skills is key to growth and scalability.

Elective 2: Generative AI on Cloud

• Participate in an interactive online GenAI masterclass to explore the latest technological advancements and techniques in Cloud Computing and DevOps.
• Learn how to build and deploy generative AI solutions by understanding cloud infrastructure, data preparation, model creation, and deployment workflows.
• Adopt responsible AI practices by addressing ethical concerns, ensuring data privacy, and utilizing explainable AI methods for transparent solutions.
• Gain hands-on experience with generative AI services offered by leading cloud providers such as AWS, Azure, and Google Cloud, including specialized tools like Azure OpenAI for text generation.

Elective 3: Cloud Administration and DevOps With Microsoft Azure

• Demonstrate fundamental knowledge of Azure concepts and terminology (AZ-900).
• Design and implement Azure solutions following architectural best practices.
• Manage Azure resources and governance by configuring subscriptions and implementing role-based access control (RBAC).
• Deploy and monitor Azure solutions, including virtual machines, containers, and networking components.
• Secure and protect Azure data through effective data protection strategies and identity management.

Elective 4: Cloud Architecture With Google Cloud

• Master the basics of Google Cloud, including core services, infrastructure, and navigating the console.
• Gain knowledge of essential Google Cloud services such as compute, storage, networking, security, and databases.
• Apply practical skills through case studies and best practices relevant to real-world

FREQUENTLY ASKED QUESTIONS

How is the program delivered?

The course is delivered entirely online through live virtual classes, offering an 80:20 blend of experiential training and theoretical learning. You'll engage in hands-on projects, case studies, and interactive sessions led by industry experts.

How is the class schedule looks like? Is there recordings?

The course typically spans about 20 weeks, with an estimated 8–10 hours of weekly study combining live sessions and self-paced learning. There will be weekday and mostly weekend class with variety of dates. In between courses, there will be a lot of hands-on project to complete. Please email us to get the details schedule of the program. If you miss a class, you can always watch the recording.

NOTE:

Attendance cannot be marked by simply watching the session recordings. Attendance is recorded only when a learner joins the live session. Since these are university-affiliated programs, the criteria are more stringent, as they are set by the universities themselves. However recordings will be available . Learners can view the specific certificate criteria for each course directly on their LMS

Can I work full-time while enrolled in this UI/UX Bootcamp?

Yes, you can! The program schedule is designed to help busy professionals with full-time work. You can attend live instructor-led sessions which are mostly held on weekends at the designated time according to your schedule and then complete assignments/projects during your free time.

Is coding required for this Cloud Computing and DevOps training?

Basic coding knowledge is helpful but not mandatory. The program covers essential scripting and automation skills necessary for DevOps and cloud workflows. The program starts with foundational cloud and DevOps concepts, making it suitable for beginners and professionals alike.

Does this program prepare me for certifications?

This cloud computing program helps you get ready for key industry certifications from AWS and Azure, such as:

• AWS Solutions Architect - Associate
• Microsoft Azure Fundamentals (AZ-900)
• Microsoft Certified: Azure Administrator Associate (AZ-104)
• Microsoft Certified: DevOps Engineer Expert(AZ-400)

What GenAI topics are covered in this program?

• Applications of Generative AI
• Key Techniques (GANs, VAEs, Diffusion Models)
• Cloud Providers and their offerings (AWS, Azure, GCP)
• Compute resources (GPUs, TPUs, CPUs)
• Storage options (object storage, block storage)
• Networking considerations (bandwidth, latency)
• Bias and Fairness in AI
• Explainability and Transparency
• Responsible AI Practices with Azure OpenAI
• Data Collection and Curation
• Data Governance and Compliance
• Data Privacy and Security
• Model Architecture Selection
• Explainable AI
• Ethical Considerations in Gen AI
• Future Trends and Emerging Technologies
• Large Language Models (LLMs)
• Quantum Computing for AI
• AI Governance and Regulation
• Deploying a language model on the cloud
• Creating a generative AI application for a specific use case

What job roles can I pursue after graduating this program?

• Cloud Solutions Architect
• Site Reliability Engineer (SRE)
• Build Engineer
• Solutions Architect
• Application Security Analyst
• Cloud Practitioner
• Cloud Administrator
• DevOps Engineer
• Cloud Consultant
• Infrastructure Engineer