Advance Cloud Computing (AWS,Azure,GCP)

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30 hours

About Course

An advanced cloud computing course delves into the intricacies of cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). Participants will gain a sophisticated understanding of cloud architecture and design patterns, mastering the art of designing scalable, resilient, and secure solutions. The curriculum covers Infrastructure as Code (IaC), enabling automation of infrastructure provisioning using tools like AWS CloudFormation, Azure Resource Manager, and Google Cloud Deployment Manager. Advanced networking topics, including virtual private cloud configurations and network peering, are explored in-depth. Security and compliance become focal points, with experts delving into best practices, identity management, encryption, and compliance frameworks specific to each cloud provider.

The course extends into containerization and orchestration, teaching participants how to leverage Docker and Kubernetes for efficient application deployment and management. Serverless computing is a key focus, with hands-on experience in AWS Lambda, Azure Functions, and Google Cloud Functions. Participants develop specialized knowledge in cloud-based storage solutions, databases, and advanced data analytics tools. Concepts of machine learning using cloud-based services are introduced, incorporating platforms like AWS SageMaker, Azure Machine Learning, and Google AI Platform.

Practical aspects of monitoring, logging, and implementing DevOps and CI/CD pipelines are emphasized, ensuring participants are well-versed in deploying and maintaining applications with efficiency. Hybrid and multi-cloud strategies are explored, preparing individuals to design solutions that seamlessly span on-premises and multiple cloud environments. The course also covers cost management and optimization strategies, teaching participants to make informed decisions on resource allocation and utilization.

As participants progress, the course encourages the pursuit of advanced certifications offered by cloud providers, validating their expertise in complex scenarios. Enterprise-level implementations are a focal point, addressing governance, compliance, and organizational considerations within the cloud. Ultimately, the course equips individuals with the skills and knowledge needed to navigate the evolving landscape of advanced cloud computing, empowering them to architect and manage robust, secure, and scalable solutions in diverse and challenging environments.

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What Will You Learn?

  • Advanced Cloud Architecture:
  • Understand and design scalable, resilient, and secure cloud architectures using microservices, serverless computing, and distributed systems.
  • Infrastructure as Code (IaC):
  • Master IaC tools like AWS CloudFormation, Azure Resource Manager (ARM), and Google Cloud Deployment Manager for automating infrastructure provisioning.
  • Networking in the Cloud:
  • Explore advanced networking concepts, including virtual private cloud configurations, network peering, and implementing secure communication.
  • Security and Compliance:
  • Implement best practices for cloud security, identity and access management, encryption, and compliance frameworks specific to AWS, Azure, and GCP.
  • Containers and Orchestration:
  • Gain proficiency in containerization technologies like Docker and container orchestration platforms such as Kubernetes. Learn to use container services provided by major cloud providers.
  • Serverless Computing:
  • Develop skills in serverless computing using services like AWS Lambda, Azure Functions, and Google Cloud Functions. Design and optimize serverless architectures.
  • Data Storage and Databases:
  • Explore advanced cloud-based storage solutions and databases, including services like Amazon S3, Azure Blob Storage, and managed database services like AWS RDS, Azure SQL Database, and Google Cloud SQL.
  • Data Analytics and Machine Learning in the Cloud:
  • Leverage cloud services for advanced data analytics and machine learning. Work with tools like AWS Glue, Azure Databricks, Google Cloud Dataflow, and machine learning platforms such as AWS SageMaker, Azure Machine Learning, and Google AI Platform.
  • Monitoring and Logging:
  • Implement and optimize monitoring and logging solutions using services like AWS CloudWatch, Azure Monitor, and Google Cloud Operations Suite.
  • DevOps and CI/CD:
  • Implement CI/CD pipelines using tools like AWS CodePipeline, Azure DevOps, and Google Cloud Build. Learn about source control, automated testing, and deployment strategies.
  • Hybrid and Multi-Cloud Solutions:
  • Design and manage solutions that span on-premises and multiple cloud environments. Understand hybrid cloud architectures and implement multi-cloud strategies.
  • Cost Management and Optimization:
  • Optimize cloud costs using services like AWS Cost Explorer, Azure Cost Management, and Google Cloud Cost Management.
  • Advanced Certifications:
  • Pursue and obtain advanced certifications offered by cloud providers, demonstrating expertise in complex cloud scenarios.
  • Enterprise-Level Implementations:
  • Deploy and manage large-scale, enterprise-level cloud solutions. Understand governance, compliance, and organizational considerations within the cloud.

Material Includes

  • Advanced Cloud Computing, encompassing platforms like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), involves sophisticated and specialized knowledge beyond the basics. Here are key aspects of advanced cloud computing:
  • Cloud Architecture and Design Patterns:
  • Advanced understanding of designing scalable, resilient, and secure cloud architectures. This includes the use of microservices, serverless computing, and distributed systems.
  • Infrastructure as Code (IaC):
  • Proficiency in IaC tools like AWS CloudFormation, Azure Resource Manager (ARM), and Google Cloud Deployment Manager for automating the provisioning and management of infrastructure.
  • Advanced Networking:
  • In-depth knowledge of cloud networking, including Virtual Private Cloud (VPC) in AWS, Virtual Network (VNet) in Azure, and Virtual Private Cloud Network (VPC Network) in GCP. Advanced topics include peering, VPNs, and direct connections.
  • Security and Compliance:
  • Expertise in cloud security best practices, identity and access management (IAM), encryption, and compliance frameworks. Advanced knowledge of security services like AWS Key Management Service (KMS), Azure Key Vault, and Google Cloud Key Management Service (KMS).
  • Containers and Orchestration:
  • Mastery of containerization technologies like Docker and container orchestration platforms such as Kubernetes. Understanding container services like AWS Elastic Container Service (ECS), Azure Kubernetes Service (AKS), and Google Kubernetes Engine (GKE).
  • Serverless Computing:
  • Advanced skills in serverless computing using services like AWS Lambda, Azure Functions, and Google Cloud Functions. This includes designing and optimizing serverless architectures.
  • Data Storage and Databases:
  • Specialized knowledge in cloud-based storage solutions and databases. This includes services like Amazon S3, Azure Blob Storage, Google Cloud Storage, as well as managed database services like AWS RDS, Azure SQL Database, and Google Cloud SQL.
  • Advanced Data Analytics and Machine Learning:
  • Leveraging cloud services for advanced data analytics and machine learning. This includes tools like AWS Glue, Azure Databricks, and Google Cloud Dataflow, as well as machine learning platforms like AWS SageMaker, Azure Machine Learning, and Google AI Platform.
  • Monitoring and Logging:
  • Implementation and optimization of monitoring and logging solutions using services like AWS CloudWatch, Azure Monitor, and Google Cloud Operations Suite (formerly Stackdriver).
  • DevOps and Continuous Integration/Continuous Deployment (CI/CD):
  • Implementing CI/CD pipelines using tools like AWS CodePipeline, Azure DevOps, and Google Cloud Build. Integrating source control, automated testing, and deployment strategies.
  • Hybrid and Multi-Cloud Solutions:
  • Designing and managing solutions that span on-premises and multiple cloud environments. Understanding hybrid cloud architectures and implementing multi-cloud strategies.
  • Cost Management and Optimization:
  • Specialized knowledge in optimizing cloud costs, leveraging services like AWS Cost Explorer, Azure Cost Management, and Google Cloud Cost Management.
  • Advanced Certifications:
  • Pursuing and obtaining advanced certifications offered by cloud providers, such as AWS Certified Solutions Architect - Professional, Microsoft Certified: Azure Solutions Architect Expert, and Google Cloud Professional Cloud Architect.
  • Enterprise-Level Implementations:
  • Experience in deploying and managing large-scale, enterprise-level cloud solutions. Understanding governance, compliance, and organizational considerations in the cloud.

Course Content

Introduction to cloud Computing

  • Characteristics of Cloud Computing
  • Cloud Models
  • Cloud Services Examples
  • Cloud-Based Services and Applications
  • Benefits of Cloud Computing
  • Challenges and Considerations
  • Characteristics of Cloud Computing (MOCK TEST)

Cloud Concepts and Technologies

Cloud Services and Platforms

Hadoop MapReduce

Cloud Applications Design

Python for Cloud

Cloud Applications

Big Data Analytics

Cloud Application Benchmarking And Tuning

Cloud Security

Cloud For Industry, Healthcare & Education

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