- Definition and principles of cloud computing.
- Advantages and disadvantages
- Cloud deployment models: public, private, hybrid
- Practical Exercise: Sign up for AWS and Azure accounts and explore the cloud dashboards
- Home
- Boston Institute of Analytics
- Courses
- Master Diploma in Cloud Computing and Devops
Master Diploma in Cloud Computing and Devops
Delve into the depths of cloud computing and DevOps with the Master Diploma in Cloud Computing & DevOps certification by the Boston Institute of Analytics.
Part time, Online
10 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
|
Course overview
Master Diploma in Cloud Computing & DevOps is a 10-month training program designed to equip students with the essential skills and knowledge needed for success in cloud computing and DevOps. The curriculum covers a variety of topics, starting with the basics of cloud computing. Throughout the Master Diploma in Cloud Computing & DevOps certification by BIA, students engage in hands-on learning by creating AWS and Azure accounts and exploring their respective cloud dashboards.
The course explores different cloud deployment models and discusses cloud service models like IaaS, PaaS, and SaaS. Practical exercises are included to analyse common SaaS applications. The Master Diploma in Cloud Computing & DevOps certification is suitable for individuals with diverse educational backgrounds, including commerce, engineering, science, and arts. Students gain a deep understanding of key AWS and Azure services such as EC2, S3, RDS, Lambda, and more.
With the Master Diploma in Cloud Computing & DevOps certification course, students learn to create and manage AWS EC2 instances, establish networking in AWS, and work with AWS storage services. The certification course offers various formats, ranging from a 4-month program to a 10-month master diploma/postgraduate master diploma program.
Read more:
The highlights
- 10 Months to Complete
- 100 Hours Course
- 6 months of on Job Training
- Certification from the BIA
- 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
certificate providing authority
Eligibility criteria
Academic Qualifications
Candidates from all academic streams such as arts, science, commerce, and engineering can apply for this course.
Certification Qualifying Details
Upon completion of the Master Diploma in Cloud Computing & DevOps certification course, you will receive a certificate of completion.
What you will learn
After completing the Master Diploma in Cloud Computing & DevOps certification syllabus, you will have the skills to create and manage AWS EC2 instances and understand networking in AWS, covering concepts like VPCs, subnets, and security groups. Additionally, you will become proficient in using AWS storage services like S3, EBS, and EFS, and gain knowledge about managed database services such as Amazon RDS and DynamoDB.
Upon completion of the Master Diploma in Cloud Computing & DevOps training, you will acquire a foundational grasp of cloud computing concepts and principles. The focus will be on popular cloud platforms like AWS and Azure, emphasising essential AWS services such as EC2, S3, RDS, and Lambda.
Who it is for
The Master Diploma in Cloud Computing & DevOps online course is designed for anyone wanting to gain a skill set that opens the door to various promising career paths in the rapidly expanding technology landscape. Some of the professions that can benefit from this course are:
Admission details
Follow these steps to join the Diploma in Cloud Computing & DevOps classes:
Step 1: Browse the link below: https://www.bostoninstituteofanalytics.org/cloud-and-devops
Step 2: Select "Enquire Now" and fill out the form with your contact details. A representative will reach out to you.
Step 3: Pay the course fee and access the modules.
The syllabus
Module 1: Introduction to Cloud Computing
Module 2: Cloud Service Models: IAAS, PAAS, SAAS
- Explanation of Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS)
- Use cases for each service model
- Practical Exercise: Analyse common SaaS applications and identify their service models
Module 3: Introduction to AWS
- Overview of Amazon Web Services
- AWS global infrastructure and availability zones.
- AWS Free Tier
- Practical Exercise: Set up an AWS Free Tier account
Module 4: AWS Servies Overview
- Overview of core AWS services: EC2, S3, RDS, Lambda, and more
- Use cases and scenarios for AWS services
- Practical Exercise: Explore the AWS services dashboard and identify their use cases
Module 5: Aws Free Tier And Pricing
- Understanding AWS pricing models. Managing costs with the AWS Free Tier
- Cost estimation tools
- Practical Exercise: Estimate costs for a simple cloud setup using AWS Pricing Calculator
Module 6: Aws Identity And Access Management (Iam)
- IAM concepts: users, groups, roles, and policies
- Best practices for IAM security
- Practical Exercise: Create IAM users and apply security policies
Module 7: Aws Cli And Sdks
- Installing and configuring AWS CLI
- Overview of AWS SDKs for programming
- Practical Exercise: Install and configure AWS CLI, and perform basic AWS operations
Module 8: Creating And Managing Aws Ec2 Instances
- Launching and configuring EC2 instances
- Security groups, key pairs, and instance types
- Practical Exercise: Launch an EC2 instance and configure it for a specific use case
Module 9: Networking In Aws: Vpc, Subnets, Security Groups
- Creating and configuring Virtual Private Cloud (VPC)
- Subnetting and network security with security groups
- Practical Exercise: Design a VPC and set up security groups for a multi-tier application
Module 10: Aws Storage Services: S3, Ebs, Efs
- Overview of AWS storage services
- Use cases for Amazon S3, EBS, and EFS
- Practical Exercise: Create an S3 bucket, attach an EBS volume, and set up an EFS file system
Module 11: Aws Database Services: Rds, Dynamodb
- Introduction to managed database services
- Use cases for Amazon RDS and DynamoDB
- Practical Exercise: Set up an RDS database and create tables in DynamoDB
Module 12: Aws Lambda And Serverless Computing
- Understanding serverless computing
- Creating and deploying AWS Lambda functions
- Practical Exercise: Develop and deploy a simple AWS Lambda function
Module 13: Azure Networking: Virtual Networks, Subnets, Nsg
- Configuring virtual networks in Azure
- Subnetting and Network Security Groups (NSG)
- Practical Exercise: Design and configure a virtual network with subnets and NSG
Module 14: Azure Active Directory (Aad)
- Overview of Azure Active Directory (AAD)
- User management, groups, and role-based access control
- Practical Exercise: Create Azure AD users, and groups, and apply role-based access control
Module 15: Azure Storage Services: Blob, File, Table, Queue
- Introduction to Azure storage services
- Use cases for Azure Blob Storage, File Storage, Table Storage, and Queue Storage
- Practical Exercise: Work with Azure Blob Storage and create a file share using Azure File Storage
Module 16: Azure Databases: Azure Sql Database, Cosmos Db
- Overview of Azure database services
- Configuration and management of Azure SQL Database and Cosmos DB
- Practical Exercise: Set up an Azure SQL Database and a Cosmos DB instance
Module 17: Content Delivery Networks (Cdn)
- Implementing a Content Delivery Network (CDN) for performance optimization
- CDN configurations and use cases
- Practical Exercise: Configure a CDN for content delivery
Module 18: Monitoring And Logging In Aws And Azure
- Setting up monitoring and logging tools in both AWS and Azure
- Monitoring best practices
- Practical Exercise: Set up monitoring and create custom alerts in both AWS and Azure
Module 19: Security Best Practices In Aws And Azure
- Implementing security best practices in AWS and Azure
- Identity and access management (IAM) roles and security groups
- Practical Exercise: Implement security policies and apply IAM roles and security groups
Module 20: Load Balancers And Auto Scaling
- Configuring load balancers for high availability
- Auto-scaling and dynamic resource provisioning
- Practical Exercise: Configure load balancers and set up auto-scaling for web applications
Module 21: Cost Optimization Strategies
- Strategies for optimising cloud costs
- Cost allocation and budgeting
- Practical Exercise: Implement cost optimization strategies for cloud resources
Module 22: Tagging And Resource Group Management
- Organising and managing resources using tags
- Resource groups in AWS and Azure
- Practical Exercise: Manage resources using tags and resource groups
Module 23: DevOps Practices In The Cloud
- Implementing continuous integration and continuous deployment (CI/CD) pipelines in the cloud
- Practical Exercise: Set up CI/CD pipelines for deploying applications
Module 24: Infrastructure As Code (Iac) With Aws Cloudformation And Azure Resource Manager
- Overview of Infrastructure as Code (IAC) concepts
- Using AWS CloudFormation and Azure Resource Manager to deploy infrastructure
- Practical Exercise: Deploy infrastructure using IAC templates in both AWS and Azure
How it helps
The Master Diploma in Cloud Computing & DevOps certification benefits include:
- Comprehensive training in essential cloud computing concepts and technologies.
- Practical skills are developed through hands-on experience with AWS and Azure platforms.
- Strong understanding and proficiency in key services offered by both AWS and Azure.
- Enhanced job opportunities within the AWS and Azure cloud platforms.
FAQs
Yes, the course includes teachings on infrastructure as code (IAC) principles and offers hands-on training for deploying infrastructure using AWS CloudFormation and Azure Resource Manager.
The course includes instruction and practical exercises in both Amazon Web Services (AWS) and Microsoft Azure, offering participants comprehensive training on both platforms.
Yes, students receive assistance in registering for AWS and Azure accounts. They also acquire practical experience through hands-on exploration of the cloud dashboards and participation in practical exercises.
The duration of the course varies, with the certification program taking 4 months and the master diploma/postgraduate master diploma program spanning 10 months.
Certainly, individuals with various educational backgrounds, such as commerce, engineering, science, and arts, are welcome to enrol in the course.