Name: Introduction To Advanced Certification in Cloud Computing and DevOps in Boston | Henry Harvin
Uploaded: 2023-04-12 16:42:56

Module 1: Linux
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
Module 2: Introduction to Cloud & Distributed Computing
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
Module 3: Parallel 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
Module 4: Distributed Computing
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
Module 5: AWS Solutions Architect Associate Certification
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
Module 6: Interoperability and Service Monitoring
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
Module 7: Resource Management and Load Balancing
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
Module 8: Migration and Fault Tolerance
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
Module 9: Python
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
Module 10: DevOps Tools
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
Module 11: Cloud Security
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
Module 12: Virtualization
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
Module 13: Overview of Cloud Platforms & Big Data Systems
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
Module 14: Emerging Cloud computing-based technologies
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
Module 15: Microsoft Azure Training AZ-104
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
Module 16: Microsoft Azure Design and Architect Technologies – AZ – 305
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
Module 17: Azure Data Engineer
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
Module 18: AWS DevOps Associate
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
Module 19: Azure DevOps
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
Complimentary Module 1: Soft Skills Development
- Business Communication
- Preparation for the Interview
- Presentation Skills
Complimentary Module 2: Resume Writing

Resume Writing

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Advanced Certification in Cloud Computing and DevOps in Boston

23 Dec 2024

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Advanced Certification in Cloud Computing and DevOps

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Key Highlights

168 Hours of Instructor-Led Sessions

56 Hours of Live Interactive Doubt Solving Sessions

28 Hours of Live Master Sessions by Industry Experts

288 Hours of Self-Paced Learning

Job-Ready Portfolio of 17 Capstone Projects

179 Auto-Graded Assessments

34+ Industry Case Studies

252 Guided Hands-On Exercises

17+ Assignments and Mini Projects

2 Mock Interviews and 2 Hackathons

Get 18 Months Gold Membership of Henry Harvin® School of Cloud Computing

Get a guaranteed Internship with Henry Harvin® and in top MNCs like J.P. Morgan, Accenture & many more via Forage

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12 Hours of Mentorship by Industry Experts

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Curriculum For Advanced Certification in Cloud Computing and DevOps in Boston

Module 1: Linux

Module 2: Introduction to Cloud & Distributed Computing

Module 3: Parallel Computing

Module 4: Distributed Computing

Module 5: AWS Solutions Architect Associate Certification

Module 6: Interoperability and Service Monitoring

Module 7: Resource Management and Load Balancing

Module 8: Migration and Fault Tolerance

Module 9: Python

Module 10: DevOps Tools

Module 11: Cloud Security

Module 12: Virtualization

Module 13: Overview of Cloud Platforms & Big Data Systems

Module 14: Emerging Cloud computing-based technologies

Module 15: Microsoft Azure Training AZ-104

Module 16: Microsoft Azure Design and Architect Technologies – AZ – 305

Module 17: Azure Data Engineer

Module 18: AWS DevOps Associate

Module 19: Azure DevOps

Complimentary Module 1: Soft Skills Development

Complimentary Module 2: Resume Writing

Admission Closes On 23 Dec 2024

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Starts in 1 day. 23 Dec 2024

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What you'll Learn in this course

Cloud Computing Fundamentals

DevOps Principles and Practices

Scaling and Managing Cloud Environments

Types of Virtualization

Azure Data Stores and Data Factory

Continuous Integration & Deployment of Pipelines

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