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Cloud Computing

Who this course is for

Aspiring Cloud Professionals

  • Individuals starting their careers in cloud computing.
  • Those aiming to become AWS Certified Solutions Architects.

    • IT Professionals

  • System administrators, network engineers, and DevOps professionals looking to expand their skill sets in cloud computing.

    • Software Developers

  • Developers interested in building cloud-based applications or transitioning to cloud-native development.

    • Solution Architects

  • Professionals responsible for designing IT solutions and needing AWS-specific expertise.

    • Project Managers and Consultants

  • Those managing cloud-based projects who need an understanding of AWS architecture to better collaborate with technical teams.

    • Entrepreneurs and Startup Founders

  • Individuals looking to leverage AWS for cost-effective, scalable solutions for their businesses.

    • Data Engineers and Analysts

  • Professionals working with large-scale data systems who want to utilize AWS data services like Redshift, Glue, and S3.

    • Career Changers

  • Those transitioning from traditional IT roles to cloud-based roles.

    • Why take this course

  • AWS Solution Architect is one of the most sought-after roles in the IT industry.
  • AWS-certified professionals earn competitive salaries globally.
  • Learn how to design, deploy, and manage scalable, secure, and fault-tolerant systems on AWS.
  • AWS is the market leader in cloud computing, used by industries like healthcare, finance, retail, and tech.
  • As more companies migrate to the cloud, AWS skills ensure you remain relevant in the evolving IT landscape.
  • Gain practical experience with AWS services like EC2, S3, RDS, Lambda, and more.
  • Opens doors to roles such as Cloud Architect, DevOps Engineer, and Cloud Consultant.

    • Course Content

    Module 1: Introduction to Cloud Computing and AWS

  • What is Cloud Computing?
  • Advantages of Cloud Computing
  • AWS Global Infrastructure
  • Overview of AWS Services and Use Cases
  • Setting Up an AWS Free Tier Account

    • Module 2: AWS Compute Services
    Amazon EC2 (Elastic Compute Cloud):

  • Launching and Managing Instances
  • EC2 Instance Types and Pricing
  • Elastic Load Balancing (ELB)
  • Auto Scaling Groups (ASG)

    • AWS Lambda:

  • Introduction to Serverless Computing
  • Creating and Managing Lambda Functions
  • Event-Driven Architectures

    • Elastic Beanstalk:

  • Application Deployment and Management

    • Module 3: AWS Storage Services
    Amazon S3 (Simple Storage Service):

  • Buckets and Objects
  • Storage Classes and Lifecycle Policies
  • Cross-Region Replication and S3 Versioning

    • Amazon EBS (Elastic Block Store):

  • Volume Types and Snapshots

    • Amazon EFS (Elastic File System):

  • Shared File Storage

    • Amazon Glacier:

  • Archival Storage Solutions

    • Module 4: AWS Networking and Content Delivery
    Amazon VPC (Virtual Private Cloud):

  • Subnets, Route Tables, and Internet Gateways
  • Security Groups and Network ACLs
  • NAT Gateways and Bastion Hosts

    • Route 53:

  • DNS and Domain Registration

    • Amazon CloudFront:

  • Content Delivery Network (CDN)
  • Elastic IPs and Elastic Load Balancers

    • Module 5: Databases in AWS
    Amazon RDS (Relational Database Service):

  • Database Engines (MySQL, PostgreSQL, SQL Server, etc.)
  • High Availability and Multi-AZ Deployments

    • Amazon DynamoDB:

  • NoSQL Database

    • Amazon Redshift:

  • Data Warehousing

    • Amazon Aurora:

  • Managed Relational Database

    • Module 6: Identity and Access Management (IAM)

  • Setting Up Users, Groups, and Roles
  • Permissions and Policies
  • Multi-Factor Authentication (MFA)
  • Best Practices for Securing AWS Accounts

    • Module 7: Monitoring and Management Tools
    AWS CloudWatch:

  • Metrics and Alarms
  • Log Monitoring

    • AWS CloudTrail:

  • Auditing and Compliance

    • AWS Config:

  • Configuration Management

    • AWS Trusted Advisor:

  • Recommendations for Cost Optimization, Security, and Performance

    • Module 8: Security and Compliance

  • AWS Shared Responsibility Model
  • Securing AWS Resources
  • Data Encryption: KMS and CloudHSM
  • Security Best Practice

    • Module 9: Migration and Hybrid Cloud

  • AWS Migration Hub
  • AWS Database Migration Service (DMS)
  • AWS Snowball and Snowmobile

    • Module 10: High Availability and Fault Tolerance

  • Designing Scalable Architectures
  • Elastic Load Balancing and Auto Scaling
  • Disaster Recovery Solutions

    • Module 11: Application Integration
    Amazon SNS (Simple Notification Service):

  • Messaging and Notifications

    • Amazon SQS (Simple Queue Service):

  • Queue-Based Message Processing

    • AWS Step Functions:

  • Orchestration of Serverless Workflows

    • Module 12: Hands-on Projects

  • Deploying a Scalable Web Application
  • Setting Up a Multi-Tier Architecture
  • Configuring Backup and Disaster Recovery
  • Migrating an On-Premises Application to AWS

    • Module 13: Preparation for AWS Certified Solutions Architect Exam

  • Exam Overview and Structure
  • Key Topics and Blueprint
  • Practice Tests and Mock Exams
  • Tips for the Certification Exam

    • Who this course is for

    IT Professionals

  • System administrators and network administrators transitioning to cloud-based solutions. Professionals managing on-premises infrastructure and wanting to move to the cloud.

    • IT Professionals

  • System administrators, network engineers, and DevOps professionals looking to expand their skill sets in cloud computing.

    • Developers

  • Software developers interested in building and deploying applications on Azure. Developers aiming to integrate Azure services such as Azure Functions, Logic Apps, and DevOps pipelines.

    • Cloud Enthusiasts

  • Individuals new to cloud computing who want to learn how Azure works. Those aiming to get hands-on experience with a leading cloud platform.

    • Data Professionals

  • Data scientists and analysts looking to leverage Azure Machine Learning, Data Factory, or Azure Synapse Analytics. Database administrators seeking to migrate and manage databases in Azure.

    • Business Professionals

  • IT decision-makers exploring Azure for enterprise solutions. Entrepreneurs and startup founders wanting to use Azure for scalable solutions.

    • Students

  • College students or fresh graduates aiming to build careers in cloud computing and related technologies.

    • Certification Seekers

    Professionals preparing for Azure certifications such as:

  • Microsoft Certified: Azure Fundamentals (AZ-900)
  • Microsoft Certified: Azure Administrator Associate (AZ-104)
  • Microsoft Certified: Azure Developer Associate (AZ-204)

    • AI and ML Enthusiasts

  • Developers and data scientists focusing on AI and machine learning solutions with Azure Cognitive Services, Azure Bot Service, and Azure AI.

    • DevOps Engineers

  • Professionals interested in implementing DevOps practices using Azure DevOps, CI/CD pipelines, and monitoring tools.

    • Why take this course

  • Azure is one of the top cloud platforms globally, with a growing market share.
  • The course prepares you for certifications such as Azure Fundamentals (AZ-900), Azure Administrator (AZ-104), and Azure Solutions Architect (AZ-305).
  • Azure skills are applicable in various fields, including IT, development, data science, AI, and DevOps.
  • Gain practical experience by working on live projects, using tools like Azure Portal, Azure CLI, and Resource Manager.
  • Azure knowledge enables you to design scalable and cost-effective solutions, benefiting both startups and enterprises.

    • Course Content

    Module 1: Introduction to Cloud Computing and Microsoft Azure

  • What is Cloud Computing?
  • Benefits and Key Concepts of Cloud Computing
  • Overview of Azure Services
  • Azure Global Infrastructure (Regions, Availability Zones, Data Centers)
  • Setting Up an Azure Free Tier Account

    • Module 2: Azure Core Services
    Azure Compute Services:

  • Virtual Machines (VMs): Configuration, Deployment, and Management
  • Azure App Services: Deploying Web and Mobile Applications
  • Azure Kubernetes Service (AKS): Container Orchestration
  • Azure Functions: Serverless Computing

    • Azure Networking Services:

  • Virtual Networks (VNet)
  • Subnets, NSG (Network Security Groups), and Route Tables
  • Load Balancers and Application Gateways
  • Azure DNS and Traffic Manager

    • Azure Storage Services:

  • Blob Storage: Hot, Cool, and Archive Tiers
  • File Storage and Disk Storage
  • Azure Data Lake Storage
  • Storage Account Management and Security

    • Module 3: Azure Identity and Access Management (IAM)

  • Azure Active Directory (AAD): User and Group Management
  • Role-Based Access Control (RBAC)
  • Identity Protection and Multi-Factor Authentication (MFA)
  • Secure Access Using Conditional Access

    • Module 4: Azure Databases
    • Azure SQL Database:

  • Deployment Models: Single Database and Managed Instances
  • High Availability and Backups

    • Cosmos DB:

  • Multi-Model NoSQL Database Service

    • Azure Database for MySQL and PostgreSQL
    Database Migration to Azure
    Module 5: Monitoring, Management, and Automation
    Azure Monitor:

  • Metrics, Logs, and Alerts

    • Azure Resource Manager (ARM):

  • Templates and Resource Group Management

    • Azure Automation:

  • Runbooks and Automation Accounts

    • Azure Advisor:

  • Recommendations for Cost, Security, and Performance

    • Module 6: Security and Compliance in Azure

  • Azure Security Center: Threat Protection
  • Key Vault: Managing Secrets, Certificates, and Encryption Keys
  • Azure Firewall and DDoS Protection
  • Compliance Standards in Azure

    • Module 7: Azure DevOps and Application Integration

  • Introduction to Azure DevOps Services (CI/CD Pipelines)
  • Logic Apps: Workflow Automation
  • Azure Event Grid and Service Bus
  • Messaging with Azure Queue Storage

    • Module 8: Azure AI, Machine Learning, and Analytics

  • Azure AI Services: Cognitive Services and Azure Bot Service
  • Azure Machine Learning: Building, Training, and Deploying Models
  • Azure Synapse Analytics: Big Data and Data Warehousing
  • Azure Data Factory: Data Integration and Orchestration

    • Module 9: Azure Migration and Hybrid Cloud Solutions

  • Azure Migrate: Assessing On-Premises Infrastructure
  • Migrating VMs and Databases to Azure
  • Hybrid Cloud Solutions with Azure Arc

    • Module 10: Designing for High Availability and Scalability

  • Load Balancing and Traffic Distribution
  • Disaster Recovery Solutions with Azure Site Recovery
  • Backup Solutions Using Azure Backup Service

    • Module 11: Azure Pricing and Cost Management

  • Azure Pricing Models and Free Services
  • Cost Estimation Using Azure Calculator
  • Cost Monitoring and Alerts with Azure Cost Managemen

    • Module 12: Hands-On Projects

  • Deploying a Scalable Web Application
  • Setting Up a Secure Network Architecture in Azure
  • Migrating an On-Premises Database to Azure SQL
  • Automating Workflows Using Logic Apps

    • Module 13: Preparation for Azure Certification (Optional)
    Overview of Azure Certification Tracks:

  • Azure Fundamentals (AZ-900)
  • Azure Administrator (AZ-104)
  • Azure Solution Architect (AZ-305)

    • Mock Exams and Practice Questions
    Exam Tips and Best Practices

    Target Audience for GCP

    Who this course is for

    • Software Developers: To understand how to collaborate more effectively with operations teams and streamline the process of deploying and maintaining applications.
    • System Administrators: To learn how to automate and manage infrastructure, improving efficiency and scalability using DevOps tools and practices.
    • IT Professionals: Those looking to transition into DevOps roles or expand their skillset in automation, continuous integration, and delivery processes.
    • Quality Assurance Engineers: To learn about automated testing, continuous integration, and how to improve the quality and reliability of code during the development lifecycle.
    • Project Managers: To gain insights into how DevOps practices can improve collaboration, speed, and overall project delivery.
    • Anyone Transitioning to a DevOps Role: If you’re looking to break into or shift to a DevOps career, this course would provide the foundational knowledge needed.

    Why take this course

    • DevOps emphasizes automation and continuous integration, allowing teams to deliver software faster and more reliably. This leads to improved productivity and less manual effort.
    • DevOps has become essential in modern software development and IT operations. Organizations are constantly looking for professionals with expertise in DevOps tools and practices, making it a valuable skill to have in your career.
    • Learning DevOps practices enables you to identify inefficiencies, streamline processes, and troubleshoot issues across the development lifecycle, enhancing your problem-solving abilities.

    Course Content

    Module 1: Introduction to DevOps

    • What is DevOps?
    • DevOps lifecycle
    • Principles and benefits of DevOps
    • Differences between Agile, DevOps, and Waterfall methodologies
    • DevOps culture and practices
    • DevOps tools overview

    Module 2: Version Control Systems
    • Introduction to version control
    • Git:
      • Git basics and commands
      • Branching and merging
      • Git workflows (Gitflow, Forking)
      • Resolving conflicts
    • Using Git with repositories (GitHub, GitLab, Bitbucket)
    Module 3: Continuous Integration (CI)
    • What is CI and its importance
    • Jenkins:
      • Setting up Jenkins
      • Jenkins pipelines (declarative & scripted)
      • Integration with build tools (Maven, Gradle)
      • Configuring plugins and notifications
    • Other CI tools (Circle CI, Travis CI)
    Module 4: Continuous Delivery & Deployment (CD)
    • Concepts of Continuous Delivery & Deployment
    • Blue-green deployment, Canary releases
    • Deployment strategies
    • Container orchestration for CD:
      • Docker basics: containers, images, Docker Compose
      • Introduction to Kubernetes (K8s)
      • Helm charts and Kubernetes deployment
    Module 5: Configuration Management
    • Configuration management introduction
    • Ansible:
      • Writing playbooks
      • Roles and tasks
      • Inventory management
    • Other tools: Puppet, Chef, SaltStack
    Module 6: Infrastructure as Code (IaC)
    • Introduction to IaC and its benefits
    • Terraform:
      • Installing and configuring Terraform
      • Writing Terraform configuration files
      • Managing infrastructure state
      • Using modules for reuse
    • AWS CloudFormation (basics)
    Module 7: Cloud Platforms
    • Introduction to cloud computing
    • Overview of leading platforms:
      • AWS, Microsoft Azure, Google Cloud Platform (GCP)
    • Setting up DevOps on cloud
    • Cloud-native tools and services
    Module 8: Monitoring and Logging
    • Importance of monitoring in DevOps
    • Popular monitoring tools:
      • Prometheus and Grafana
      • ELK Stack (Elasticsearch, Logstash, Kibana)
    • Alerting and incident management
    • Application performance monitoring (APM)
    Module 9: Security in DevOps (DevSecOps)
    • Introduction to DevSecOps
    • Static Application Security Testing (SAST)
    • Dynamic Application Security Testing (DAST)
    • Security tools in CI/CD pipelines:
      • SonarQube
      • OWASP ZAP
    Module 10: Advanced DevOps Practices
    • GitOps and Infrastructure as Code (IaC) in depth
    • Site Reliability Engineering (SRE) basics
    • Chaos engineering principles and tools (e.g., Chaos Monkey)
    • Serverless DevOps
    • DevOps on microservices architecture
    Module 11: Real-World Projects
    • End-to-end DevOps project:
      • Setting up a CI/CD pipeline
      • Deploying an application using Kubernetes
      • Monitoring and logging implementation
    • Case studies and best practices