Advanced Certification in Cloud Computing and DevOps

In this module, participants will be introduced to Linux, its basics and more.

• Introduction to Linux
• Linux Basics
• Hands-on Sessions And Assignments for Practice

In this module, participants will learn about Long-the Term Vision of Cloud Computing, Cloud Deployment Models, Characteristics and benefits, Challenges Ahead, and more.

• The Long-Term Vision of Cloud Computing
• What is Cloud Computing? Defining a cloud, Essential characteristics, a closer look to Cloud, The cloud computing reference model.
• Cloud Deployment Models, Characteristics and benefits,Challenges Ahead
• Historical developments, 1950s to 2020
• Core Technologies in Cloud Development: Distributed Systems (Cluster Computing, Grid Computing and mainframe computing), Virtualization, Web 2.0, Service orientation, Utility computing

In this module, participants will learn the Need And Feasibility of Parallel Computing, Moore’s Law, Elements of Parallel Computing, Laws of caution, and more.

• Motivating Factor: Human Brain, The Need And Feasibility of Parallel Computing
• Moore’s Law
• Elements of Parallel Computing: Factors affecting parallel system performance, Parallel Programming Models,
• Computational Power Improvement, Two Eras of Computing, Hardware architectures for parallel processing, Dependency Analysis & Conditions of Parallelism, Levels of Software Parallelism in Program Execution, Software Parallelism Types, Performance of Parallel Algorithms,
• Laws of cautions, The Goal of Parallel Processing, Amdahl’s Law, Gustafson’s Law, Communication Cost Model Demonstration for parallel application performance and its impacts

In this module, participants will explore Distributed computing systems, Architectural styles for distributed computing,  and more.

• Distributed computing system, Characteristics, Goals, Components of a distributed system
• Architectural styles for distributed computing: Software architectural styles, System architectural styles, Clientserver, peer to peer, Parallel vs Distributed Systems, RPC

In this module, participants will learn Cloud Computing and AWS, AWS Migration, DevOps on AWS, and more.

• Introduction to Cloud Computing and AWS
• Elastic Compute and Storage Volumes
• Load Balancing, Autoscaling and DNS
• Virtual Private Cloud
• Storage - Simple Storage Service (S3)
• Databases and In-Memory DataStores
• Management and Application Services
• Access Management and Monitoring Services
• Automation and Configuration management
• AWS Migration
• Amazon FSx and Global Accelerator
• Architecting AWS whitepaper
• DevOps on AWS

In this module, participants will learn interoperability issues, approaches, Metering Issues, Report generation,  and more.

• Issues with interoperability
• Vendor lock-in
• Interoperability approaches
• SLA Management
• Metering Issues, and Report generation

In this module, participants will learn concepts of Distributed Management of Virtual Infrastructures,  Resource Optimization, Resource dynamic reconfiguration, Scheduling Techniques for Advance Reservation and more.

• Distributed Management of Virtual Infrastructures
• Server consolidation
• Dynamic provisioning and resource management
• Resource Optimization, Resource dynamic reconfiguration
• Scheduling Techniques for Advance Reservation
• Capacity Management to meet SLA Requirements, and Load Balancing
• Various load balancing techniques

In this module, participants will be introduced to broad Aspects of Migration into the Cloud, Migration of Virtual Machines and techniques, and more.

• Broad Aspects of Migration into Cloud
• Migration of virtual Machines and techniques
• Fault Tolerance Mechanisms

In this module, participants will be introduced to Python and IDEs, and more.

• Introduction to Python and IDEs
• Python Basics
• Object Oriented Programming 
• Hands-on Sessions And Assignments for Practice

In this module, participants will learn Infrastructure Setup – Lab setup, Continuous Integration using Jenkins, Configuration Management using Ansible, Continuous Orchestration using Kubernetes, Continuous Monitoring using ELK and more.

• Infrastructure Setup – Lab setup
• Introduction to DevOps
• Continuous Testing
• Continuous Integration using Jenkins
• Software Version control
• Continuous Deployment: Containerization with Docker
• Containerization with Docker: Ecosystem and Networking
• Configuration Management using Ansible
• Continuous Orchestration using Kubernetes
• Continuous Monitoring using ELK
• Terraform Modules & Workspaces

In this module, participants will learn Infrastructure Security, Data Security and Storage, Identity & Access Management, Authentication in cloud computing, Client access in the cloud, Cloud contracting Model, Commercial and business considerations, and more.

• Infrastructure Security: Network level security, Host level security, Application-level security
• Data security and Storage: Data privacy and security Issues, Jurisdictional issues raised by Data location
• Identity & Access Management
• Access Control
• Trust, Reputation, Risk
• Authentication in cloud computing, Client access in Cloud, Cloud contracting Model, Commercial and business considerations

In this module, participants will learn Virtualization, Container-Based Virtualization, Network Function Virtualization (NFV), and more.

• What is Virtualization?
• Virtualization is not a new concept. Evolution of Virtualization.
• Type of Virtualization
• Server-based Virtualization
• Hypervisor-based Virtualization
• Type 1 v/s Type 2
• Full v/s Para
• Virtual machine lifecycle
• Virtual machine image: Structure, formats
• Virtual machine instance: Public cloud specific instance, allocating resources to virtual machine instance, networking in virtual machine, Amazon Machine Instance
• VM Application
• Container Based Virtualization
• Container lifecycle
• Container image: Structure, formats
• Container instance: Allocating resources to container instance
• Networking in containers
• Unikernels: Structure, formats, allocation, networking in Unikernels
• Difference between VM, Containers and Unikernels
• Network Function Virtualization (NFV)
• Type

In this module, participants will learn open stack, MapReduce, extensions to Cloud Computing, HDFS, GFS, and more.

• Open stack
• Google App Engine
• MapReduce and its extensions to Cloud Computing, HDFS, and GFS

In this module, participants will learn Cloud computing-based technologies, Software Defined Network (SDN) Integration Cloud, Fog, IoT SDN  , and more.

• Grid of Clouds, Green Cloud, Mobile Cloud Computing,
• Auctioning in cloud
• Fog, Mist computing
• Edge computing
• IoT
• Virtual Network Functions
• Software Defined Network (SDN) Integration Cloud, Fog, IoT SDN etc

In this module, participants will understand Microsoft Azure, ARM & Azure Storage, Azure Storage, Microsoft Azure Active Directory, Azure Monitoring, and more.

• Introduction to Microsoft Azure
• Introduction to ARM & Azure Storage
• Introduction to Azure storage
• Azure Virtual Machines
• Azure App and Container services
• Azure Networking - I
• Azure Networking - II
• Authentication and Authorization in Azure using RBAC
• Microsoft Azure Active Directory
• Azure Monitoring

In this module, participants will understand Multi-Factor Authentication (MFA), Migration in Azure, and more.

• Overview of Microsoft Azure Design and Architect Technologies
• Multi Factor Authentication (MFA)
• Migration in Azure
• Azure Data Platform – I
• Azure Data Platform – II

In this module, participants will understand Non-Relational Data Stores and Azure Data Lake Storage, Azure SQL, Azure Data Factory, Azure Data Bricks, Azure Stream Analytics and more.

• Non-Relational Data Stores and Azure Data Lake Storage
• Data Lake and Azure Cosmos DB
• Relational Data Stores
• Why Azure SQL?
• Azure Batch
• Azure Data Factory
• Azure Data Bricks
• Azure Stream Analytics
• Monitoring & Security

In this module, participants will learn Database services, Autoscaling and load balancing, Virtual Private Cloud, Infrastructure Setup, DevOps on AWS, Deploying Infrastructure with Terraform, Terraform Modules & Workspaces and more.

• Introduction to Cloud Computing & AWS
• Database services
• Object Storage
• Autoscaling and load balancing
• Virtual Private Cloud
• Application services, AWS Lambda and CLI
• IAM and monitoring
• Configuration management and automation
• Architecting AWS – whitepaper
• AWS Architect Questions
• AWS Migration
• AWS Security
• Infrastructure Setup
• Introduction to Devops
• Software Version Control
• Containerization using Docker - Part I
• Containerization using Docker - Part II
• Configuration Management using Ansible
• Continuous Testing
• Continuous Integration using Jenkins
• Continuous Orchestration using Kubernetes
• Continuous Monitoring using ELK
• DevOps on AWS
• Deploying Infrastructure with Terraform
• Terraform Modules & Workspaces

In this module, participants will learn about Terraform with Azure, MAVEN, SONARQUBE, XL DEPLOY, TEAMCITY, JFROG, MS BUILD, NEXUS, NPM, ELK, and more

• Introduction to Microsoft Azure
• Introduction to ARM & Azure Storage
• Introduction to Azure storage
• Azure Virtual Machines
• Azure App and Container services
• Azure Networking – I
• Azure Networking – II
• Authentication and Authorization in Azure using RBAC
• Microsoft Azure Active Directory
• Azure Monitoring
• Infrastructure Setup
• Introduction to DevOps
• Continuous Testing
• Continuous Integration using Jenkins
• Software Version Control
• Continuous Deployment: Containerization with Docker
• Containerization with Docker: Ecosystem and Networking
• Configuration Management using Ansible
• Continuous Orchestration using Kubernetes
• Terraform Modules & Workspaces
• Azure DevOps and Azure Repos
• Azure Artifacts and Azure Test Plans
• Azure Pipelines
• Azure Boards
• Terraform with Azure
• MAVEN
• SONARQUBE
• XLDEPLOY
• TEAMCITY
• JFROG
• MS BUILD
• NEXUS
• NPM
• ELK

• Business Communication
• Preparation for the Interview
• Presentation Skills

Resume Writing