Cloud Computing & DevOps

BY
Boston Institute of Analytics

Learn all about cloud computing technology and become an expert at software development with the Cloud Computing & DevOps course

Mode

Part time, Online

Duration

4 Months

Quick Facts

particular details
Medium of instructions English
Mode of learning Virtual Classroom, Campus Based/Physical Classroom
Mode of Delivery Video and Text Based
Frequency of Classes Weekends

Course overview

The Cloud Computing & DevOps course is a comprehensive training programme designed to equip students with the skills and knowledge needed to excel in the field of cloud computing and DevOps. The course covers a wide range of topics, starting with an introduction to cloud computing concepts and principles. During the course of Cloud Computing & DevOps certification by BIA, students will learn about the different cloud deployment models and gain hands-on experience by signing up for AWS and Azure accounts and exploring their cloud dashboards.

 The course also covers cloud service models such as IaaS, PaaS, and SaaS, and provides practical exercises to analyse common SaaS applications. The course is aimed at individuals from all educational backgrounds, including commerce, engineering, science, and arts. Throughout the course, students will gain a deep understanding of key AWS and Azure services, including EC2, S3, RDS, Lambda, and more. They will learn how to create and manage AWS EC2 instances, set up networking in AWS, and work with AWS storage services. The Cloud Computing & DevOps certification course is offered in different formats, ranging from a 4-month certification programme to a 10-month master diploma/postgraduate master diploma programme. Readers can also browse several other Cloud Computing Certification Courses online.

The highlights

  • 4 Months to Complete, 100 Hours Course
  • Certification from the Boston Institute of Analytics
  • Two In One Certification
  • Classroom + Online Mode

Program offerings

  • Dual certification
  • Foundation course
  • Hands-on learning
  • Practical based
  • Live lecture
  • Weekend course

Course and certificate fees

certificate availability

Yes

certificate providing authority

Boston Institute of Analytics

Who it is for

After completing the Cloud Computing & DevOps certification syllabus, participants will be equipped with a skill set that opens the door to various promising career paths in the rapidly expanding technology landscape. Some of the career options that can be pursued include:

Eligibility criteria

Academic Qualifications

Candidates from all academic streams such as arts, science, commerce, and engineering can apply for this course.

Certification Qualifying Details of Cloud Computing & Devops

The certification for Cloud Computing & Devops training is granted upon completing the course.

What you will learn

During Cloud Computing & DevOps classes, participants will learn:

  • Understanding of cloud computing concepts and principles
  • Familiarity with AWS and Azure cloud platforms
  • Knowledge of core AWS services such as EC2, S3, RDS, and Lambda
  • Ability to create and manage AWS EC2 instances
  • Understanding of networking in AWS, including VPCs, subnets, and security groups
  • Proficiency in working with AWS storage services, including S3, EBS, and EFS
  • Knowledge of managed database services, such as Amazon RDS and DynamoDB
  • Familiarity with serverless computing and the ability to deploy AWS Lambda functions

The syllabus

Module 1 - Cloud Computing and DevOps Course: Orientation

Course Expectations and Structure
  • Overview of the Cloud Computing & DevOps Course Modules 
  • Brief on Assignments and Assessments
Introduction to the Learning Environment
  • Digital Platforms and Resources
  • Communication Channels
1. Definition and Principles of Cloud Computing
  • Advantages and disadvantages
  • Overview of public, private, and hybrid cloud models
  • Introduction to IaaS, PaaS, SaaS with use cases
  • Practical Exercise: Compare deployment models for a sample application

Module 2 - Core Azure Services and Hands-On Labs

Azure Overview and Global Infrastructure
  • Regions, availability zones, and global data centers
  • Practical Exercise: Sign up for Azure and explore the portal
Virtual Machines & Networking in Azure
  • Deploying Azure VMs, configuring networks, security groups
  • Practical Exercise: Create and configure an Azure VM, virtual network, and apply security rules
Storage and Database Services in Azure
  • Azure Blob, File, Table, Queue storage; Azure SQL Database, Cosmos DB
  • Practical Exercise: Set up storage solutions, configure databases
Content Delivery Networks (CDN) and Performance Optimization
  • Configuring CDNs and use cases for performance improvements
  • Practical Exercise: Set up a CDN for content delivery
Monitoring, Logging, and Security in Azure
  • Monitoring tools, best practices, and custom alerts
  • Security best practices, IAM roles, policies, and Azure Advisor
  • Practical Exercise: Set up monitoring, alerts, and implement security roles
Advanced Networking: Load Balancers and Auto Scaling
  • Configuring load balancers, auto-scaling, and resource provisioning
  • Practical Exercise: Configure load balancers with auto-scaling

Module 3 - Advanced Azure Topics

Azure Active Directory (AAD) and Identity Management
  • User management, groups, role-based access control
  • Practical Exercise: Create AAD users and apply role-based access
Infrastructure as Code (IaC) with Azure Resource Manager
  • Introduction to IAC concepts, using ARM templates for automation
  • Practical Exercise: Deploy infrastructure with ARM templates
Cost Optimization Strategies
  • Cost allocation, budgeting, and optimization practices
  • Practical Exercise: Implement strategies for cloud resource optimization
Containerization and Orchestration in Azure
  • Introduction to Containers: Explore the fundamentals of containerization, including Docker, its benefits, and deployment models in Azure.
  • Azure Container Solutions: Overview of Azure Container Instances (ACI) for simple deployments and Azure Kubernetes Service (AKS) for complex orchestration, detailing AKS features like scaling, load balancing, and monitoring.
  • Practical Exercises:
    • Deploy a simple containerized application using ACI.
    • Create, manage, and scale applications in a Kubernetes cluster on Azure using AKS.
  • Integrating CI/CD with Kubernetes: Examine how to integrate continuous integration and continuous deployment with Kubernetes workloads to enhance automation and efficiency in Azure.

Module 4 - Core AWS Services and Hands-On Labs

AWS Overview and Global Infrastructure
  • Regions, availability zones, and global data centers
  • Practical Exercise: Sign up for AWS and explore EC2 and the AWS portal
EC2 Instances & Networking in AWS
  • Deploying EC2, configuring VPCs, network security
  • Practical Exercise: Set up an EC2, VPC, and apply network security rules
AWS Storage Solutions and Databases
  • S3, Glacier, RDS, DynamoDB, and PaaS databases
  • Practical Exercise: Configure S3 storage and deploy database instances
Monitoring, Logging, and Security in AWS
  • Using CloudWatch, CloudTrail, IAM roles, and security groups
  • Practical Exercise: Set up CloudWatch monitoring and security roles
Advanced Networking: Load Balancers and Auto Scaling
  • Configuring load balancers, auto-scaling, and network security
  • Practical Exercise: Configure load balancers with auto-scaling for a web app

Module 5 - Advanced AWS Topics

AWS Active Directory (AD) and Identity Management
  • Managing users, groups, and RBAC in AWS
  • Practical Exercise: Create AD users and apply access control
Infrastructure as Code (IaC) with AWS CloudFormation
  • IAC concepts, deploying infrastructure with CloudFormation
  • Practical Exercise: Deploy infrastructure using CloudFormation templates
Cost Optimization Strategies
  • Cost allocation, budgeting, and optimization practices
  • Practical Exercise: Implement AWS cost management strategies
Containerization and Orchestration in AWS
  • AWS Container Services Overview: Introduction to AWS’s container services including ECS (Elastic Container Service) and EKS (Elastic Kubernetes Service), with a focus on how these services facilitate container deployment and management.
  • AWS Fargate: Explore the concept of serverless containers, detailing the use and advantages of AWS Fargate for effortless container orchestration.
  • Practical Exercises:
    • Deploy a basic containerized application using ECS and EKS to understand traditional and Kubernetes-based orchestration.
    • Implement a microservices-based application using EKS combined with Fargate for advanced orchestration scenarios.
  • Deep Dive into EKS: Comprehensive examination of deploying, managing, and scaling Kubernetes clusters on AWS, including integration with AWS Fargate for serverless container management.

Module 6 - Advanced Cloud Architectures and Hybrid Cloud Solutions

Multi-Cloud and Hybrid Cloud Strategies
  • Concepts of multi-cloud and hybrid architectures
  • Inter-cloud connectivity and cross-cloud data migration
  • Practical Exercise: Set up a hybrid or multi-cloud environment
Disaster Recovery and High Availability
  • Backup, disaster recovery planning, failover strategies
  • Practical Exercise: Set up cross-region failover and simulate a disaster recovery plan
Serverless Computing in Azure and AWS
  • Introduction to serverless, Lambda, Azure Functions
  • Practical Exercise: Create serverless applications in AWS and Azure

Module 7 - DevOps Practices in the Cloud

CI/CD Pipelines and Release Strategies
  • CI/CD for Containers: Overview of CI/CD pipelines for containerized applications.
  • Deploying Containerized Applications with Jenkins, Azure DevOps, or AWS CodePipeline.
  • Practical Exercise: Set up a CI/CD pipeline for containerized applications using Docker and Kubernetes on either Azure or AWS.
GitOps and Version Control for Cloud Resources
  • GitOps for versioned cloud infrastructure and deployments
  • Practical Exercise: Implement GitOps for a cloud deployment
Infrastructure as Code (IaC) Advanced Topics
  • GitOps for versioned cloud infrastructure and deployments
  • Practical Exercise: Implement GitOps for a cloud deployment
Container Orchestration in DevOps
  • Advanced scripting with PowerShell, Bash, SDKs
  • Automation and resource provisioning with IAC tools
  • Practical Exercise: Automate IAC templates with advanced scripts
  • Kubernetes and Docker in DevOps: Using Docker and Kubernetes in DevOps workflows, managing containers in large-scale environments.
  • Practical Exercise: Implement container orchestration with Kubernetes in a DevOps pipeline, utilizing Azure Kubernetes Service (AKS) or AWS EKS.

Module 8 - Observability and Monitoring for Large Scale Environments

Advanced Observability and Monitoring Techniques
  • Monitoring Kubernetes Clusters: Using Prometheus, Grafana, and Azure Monitor for containerized environments.
  • Practical Exercise: Set up distributed tracing, log aggregation, and monitoring for a Kubernetes-based application.
Metrics and Dashboards for DevOps
  • Using Prometheus, Grafana, or CloudWatch for DevOps metrics
  • Practical Exercise: Create custom dashboards and alerts
Incident Response and Remediation
  • Automated remediation policies and disaster simulations
  • Practical Exercise: Develop a runbook and simulate incident response

Module 9 - Security, Compliance, and Governance

Cloud Security Best Practices and Automated Policies
  • Compliance management, encryption, key management in AWS and Azure
  • Practical Exercise: Configure encryption, manage keys, and automate compliance checks
Identity and Access Management Automation
  • Advanced IAM policies and role configurations
  • Practical Exercise: Implement and automate IAM policies
Showback and Chargeback Models for Cloud Cost Governance
  • Implementing chargeback models to optimize cloud costs
  • Practical Exercise: Set up showback/chargeback reporting
Security for Containers
  • Container Security Best Practices: Security considerations for containerized applications.
  • Kubernetes Security: Best practices for securing Kubernetes clusters and applications.
  • Practical Exercise: Implement security policies for containerized applications on Azure (AKS) or AWS (EKS).

Capstone Project

Capstone Project Allocation, Mentorship and Presentation
  • 1 Project
  • Project and Dataset Assignment by Capstone Mentor
  • Orientation Session by Capstone Mentor – Project Expectations
  • Mentorship Session by Capstone Mentor – Doubt Resolutions
  • Project Presentation

Career Enhancement

Soft Skills Training
  • Presentation Skills
  • Email Etiquettes
  • LinkedIn Profile Building
  • Personality Development and Grooming
Interview Preparation
  • Interview Do’s and Don’ts
  • Mock Interviews
  • HR and Technical Interview Prep
  • One-on-One Feedback

Admission details

Follow the steps below to join the course.

Step 1- Click on the link below:

https://bostoninstituteofanalytics.org/cloud-computing-and-devops/

Step 2- Click on “Enquire Now”. Submit the form and your contact details and a representative will contact you.

Step 3- Once the fees are paid, you are enrolled in the course.

How it helps

The Cloud Computing & Devops certification benefits include:

  • In-depth and comprehensive training in cloud computing concepts and technologies
  • Hands-on experience with AWS and Azure platforms, enhancing practical skills
  • Understanding and proficiency in key AWS and Azure services, opening up job opportunities in these cloud platforms

FAQs

What is the duration of the Cloud Computing & DevOps course offered by BIA?

The duration of the course varies, ranging from 4 months for the certification programme to 10 months for the master diploma/postgraduate master diploma programme.

Can individuals from non-technical backgrounds enrol in the course?

Yes, the course is open to individuals from all educational backgrounds, including commerce, engineering, science, and arts.

What cloud platforms are covered in the Cloud Computing & DevOps certification course?

The course covers both Amazon Web Services (AWS) and Microsoft Azure, providing training and hands-on experience in both platforms.

Do students get access to AWS and Azure accounts during the course?

Yes, students are provided with guidance on signing up for AWS and Azure accounts, and they gain hands-on experience by exploring the cloud dashboards and performing practical exercises.

Will I learn about infrastructure as code (IAC) in the course?

Yes, the course covers IAC concepts and provides practical training on using AWS CloudFormation and Azure Resource Manager to deploy infrastructure.

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