COURSE BY COURSE DETAILED OUTLINE

Cloud Administrator: 3 months

Windows Server Administration within Domains

–          Proficient Windows Server Administration skills acquisition

–          Configuration of essential protocols: Active Directory Services (ADS), Domain Name System (DNS), Dynamic Host Configuration Protocol (DHCP)

–          Advanced techniques for efficiency and security optimization

–          Creation and management of Workgroups and Domains

–          Seamless integration of computers into domains

–          User account administration with precise security measures

–          Active Directory Configuration expertise for efficient directory services

–          Domain Policy Management for security fortification and performance optimization

–          Hands-on experience and practical exercises for issue troubleshooting and configuration fine-tuning

–          Implementation of best practices for seamless operation of Windows Server environments

Linux System Administration for Cloud Servers

–          Delve into managing network resources within Linux Servers

–          Mastery in creating and administering files and directories using various tools

–          Advance to proficiently managing users, groups, permissions, and applications within Cloud Servers

–          Intermediate and advanced-level commands for altering, deleting, or modifying resources

–          Assign ownership and permissions at both file and folder levels

–          Explore automation techniques using Cron and Shell Scripts

–          Learn data migration methods including SSH, SCP, FTP, Apache HTTPD, NTP, and more

–          Possess expertise to navigate and optimize Linux server environments confidently

PowerShell Scripting for System Administration using AI Prompting

–          Basic File and Directory Management: Create, copy, move, and delete files and directories.

–          Advanced Directory Management: Handle large file systems and perform recursive operations.

–          File and Directory Permissions: Automate permission management.

–          Automate IT Tasks: Automate software installation, network configurations, and system tasks.

–          Service Management Automation: Automate restarting, stopping, and checking the status of Windows services.

–          PowerShell Scripting Basics: Work with variables, loops, and conditionals for control flow.

–          Functions and Modules: Create reusable PowerShell code using functions and modules.

–          Error Handling and Debugging: Implement techniques to handle errors and debug scripts effectively.

Cloud Solution Architect: 3 months
Pre-requisite: Cloud System Administrator

AWS Certified Solution Architect training

–          Gain proficiency in designing and managing public and private cloud infrastructures on AWS

–          Explore key AWS services such as VPC, EC2, S3, CloudFront, EFS, RDS, Direct Connect, Route 53, CloudWatch, CloudTrail, and CloudFormation

–          Utilize IAM console to create custom users and groups for secure access to AWS resources

–          Set up lifecycle policies for automated creation and deletion of S3 snapshots using S3 CLI tools

–          Back up data from S3 to Glacier and Deep Glacier for cost-effective long-term storage

–          Configure security groups, Elastic IP addresses, and auto-scaling configurations for optimized resource allocation and system reliability

–          Create and maintain ACLs, implement IGW and Route Tables for public-facing subnets, and set up NAT for private-facing subnets within AWS VPCs

–          Configure and manage AWS services including EC2, RDS, VPC, S3, Glacier, CloudFront, and Route 53

–          Add elasticity and scalability to meet diverse design requirements

–          Architect and maintain robust, secure, and highly available cloud infrastructures on AWS

Deploying Infrastructure as Code with Terraform

–          Harness the power of Terraform in an Infrastructure as Code (IaC) course

–          Revolutionize application deployment processes within AWS

–          Develop essential application features alongside Terraform implementation

–          Set up development environment using VSCode IDE and install Terraform

–          Create Terraform scripts, understand Terraform files, workflows, and tfstate management

–          Gain proficiency in HashiCorp Cloud & Scripting

–          Master techniques for backing up to the cloud to fortify infrastructure
– Deploy cloud resources using Terraform scripts through hands-on exercises

–          Provide intermediate-level design and engineering support for successful IT cloud project delivery

–          Delve into Python coding to automate infrastructure provisioning

–          Learn fundamental coding concepts and leverage tools like GitHub Copilot for efficient code generation

–          Master skills to streamline operations, enhance scalability, and optimize cloud infrastructure management

Azure Solutions Architect certification curriculum

The Azure Solutions Architect certification also emphasizes designing scalable, resilient, and secure architectures tailored to business requirements. Trainees learn how to integrate different Azure services to create efficient and optimized cloud solutions. This includes identity and access management, monitoring, and automation tools to ensure the infrastructure is well-managed and compliant with industry standards. Additionally, the certification covers advanced topics such as hybrid cloud solutions, migrations, governance, and managing resources using Infrastructure as Code (IaC) through tools like Azure Resource Manager (ARM) and Terraform

DevOps/CICD Engineer: 3 months

Pre-requisite: Cloud Solution Architect

Traditional DevOps, CICD Tools Integration: Git, Jenkins, Docker

–          Introduction to DevOps principles and practices.

–          Collaboration and communication between development and operations teams.

–          Basics of Continuous Integration (CI) and Continuous Deployment (CD) concepts.

–          In-depth understanding of DevOps culture, emphasizing collaboration and shared responsibility.

–          Implementing CI/CD pipelines and understanding their importance in the software delivery lifecycle.

–          Knowledge of version control systems (e.g., Git) and their role in DevOps workflows.

–          Automation and Configuration Management:

–          Introduction to automation tools like Jenkins, Travis CI, or GitLab CI.

–          Basics of scripting languages (e.g., Bash, Python) for automation.

–          Basic configuration management concepts.

–          Configuring and managing automation pipelines for building, testing, and deploying applications.

–          Advanced scripting for task automation and integration within the CI/CD process.

–          Configuration management tools (e.g., Ansible) for consistent infrastructure configurations.

–          Introduction to CI/CD:

–          Understanding the core concepts of Continuous Integration (CI) and Continuous Deployment (CD).

–          Familiarity with the benefits of CI/CD in software development.

–          Basic knowledge of version control systems (e.g., Git).

–          Proficient use of CI tools (e.g., Jenkins, GitLab CI, Travis CI).

–          Configuration of basic CI pipelines for automating code builds and unit tests.

–          Integration of CI tools with version control systems.

–          Deployment Automation:

–          Basics of deployment automation and orchestration.

–          Introduction to containerization using Docker

–          Basic knowledge of deployment strategies (e.g., blue-green deployments).

–          Implementation of deployment automation using Ansible.

–          Configuring pipelines for multiple environments (development, staging, production).

–          Integration of containerization in the CI/CD workflow.

 Deployments Automation to Kubernetes clusters in CD

–          Understanding the fundamentals of containerization and its benefits.

–          Basics of Kubernetes architecture and components.

–          Familiarity with Kubernetes resources (Pods, Deployments, Services).

–          Proficient use of `kubectl` for interacting with Kubernetes clusters.

–          Creation and management of simple Kubernetes deployments.

–          Understanding and implementing basic networking concepts in Kubernetes.

–          Pods, Deployments, Service, etc:

–          Creating and managing individual Pods in Kubernetes.

–          Basics of Pod networking and communication.

–          Introduction to Deployments and their role in managing application instances.

–          Configuring and managing multi-container Pods.

–          Implementing rolling updates and rollbacks with Deployments.

–          Utilizing Helm for package management and simplifying Kubernetes resource definitions.

–          Scaling and Resource Management:

–          Basics of scaling applications in Kubernetes (horizontal and vertical scaling).

–          Introduction to resource requests and limits.

–          Understanding the concept of Kubernetes namespaces.

–          Implementing autoscaling based on metrics.

–          Fine-tuning resource allocation for optimal performance.

–          Managing resource quotas and limits within namespaces.

PROJECTS! PROJECTS!! PROJECTS!!!

PROJECT-1:

The Build and Optimization of CI/CD Pipeline for Continuous Application Release from Development to Operations

Aviation Industry

• Orchestrated the setup and ongoing management of a robust CI/CD pipeline, resulting in a remarkable 40% improvement in team efficiency.
• Implemented end-to-end automation of code deployment processes, leading to a significant reduction in time to market, slashing deployment duration from 8 hours to an agile 2 hours.
• Deployed and configured open-source monitoring tools to actively observe and evaluate the health and performance of cloud-based resources, fostering proactive issue resolution.
• Engineered comprehensive deployment scripts, effectively eliminating downtime for applications, and establishing a resilient infrastructure foundation.

PROJECT-2:

Infrastructure Provisioning Automation for Testing and Development Environments, using Terraform

AWS & Azure

• Increased the number of applications and S3 buckets created from 4 to 16 by creating a new terraform manifest that automated the infrastructure provisioning.
• Implemented Terraform modules to streamline the provisioning process, ensuring consistency and scalability across different projects and environments.
• Enhanced security measures by incorporating AWS Identity and Access Management (IAM) roles and policies into the Terraform scripts, aligning with best practices.
• Established a version control system for Terraform manifests, leveraging Git, to track changes, collaborate efficiently, and maintain a history of infrastructure modifications.

PROJECT-3:

Kubernetes Cluster Deployment and Configuration for Production Environment

Healthcare Industry

• Configured and managed Kubernetes clusters for production as well as non-production environments, using Terraform and AWS-EKS, ensuring high availability with 99.9% SLA for applications, and increased speed of deployments by 50%.
• Automated overall Kubernetes cluster deployment and management, providing robust performance optimization, health monitoring, and application deployment control.
• Developed Helm charts for deploying, managing, and rolling new releases of applications.
• Implemented security policies to ensure best security practices for applications.
  

Cloud Security Engineer: 3 months

Pre-requisite: Cloud Solution Architect

Cyber Security Analyst

–          Introduction to Windows Server Administration: Provides a foundational understanding of Windows Server Operating System, Active Directory, and navigating the Windows Server Interface.

–          Installing and Configuring Windows Server: Covers system requirements, installation processes, and initial configurations including server roles and features.

–          Active Directory Management: Focuses on planning and creating Active Directory domains, user and group management, OUs, and GPOs, along with security and authentication best practices.

–          Networking in Windows Server Environment: Covers TCP/IP configuration, DNS, DHCP, domain security policies, and access control.

–          Core Security Goals: Discusses confidentiality, integrity, and availability along with risk management strategies.

–          Threats, Attacks, and Vulnerabilities: Analyzes the threat landscape, common attack vectors, vulnerability assessment, and patch management.

–          Identity and Access Management: Covers authentication mechanisms, authorization policies, and identity lifecycle management.

–          Networking: Explores network segmentation, intrusion detection and prevention, and secure communication protocols.

–          Cybersecurity Architecture and Design: Discusses security by design principles, defense-in-depth strategy, and security controls and countermeasures.

–          Cloud Computing  – AWS, Azure, Google Cloud: Provides insights into cloud security best practices, identity and access management in the cloud, and data encryption and compliance.

–          Penetration Test Practical: Offers hands-on experience with network vulnerability scanning, analysis with tools like Nessus and Wireshark, network auditing and hacking with Nmap, and Splunk setup and configuration.

Azure Security Engineer (Console)

–          Security Architecture Design: Designing secure architectures for Azure cloud environments, including virtual networks, identity and access management (IAM), encryption, and data protection, etc.

–          Identity and Access Management (IAM): Managing user identities, roles, and permissions within Microsoft Entra ID to ensure least privilege access and proper authentication.

–          Implementation of Security Controls: Configuring and implementing security controls and features offered by Azure, such as Microsoft Defender for Cloud, Azure Firewall, Microsoft Entra ID, Network Security Groups (NSGs), and Azure Key Vault.

–          Data Protection and Encryption: Implementing encryption mechanisms to protect data both at rest and in transit using Azure services such as Azure Disk Encryption, Azure Storage Encryption, and Azure Key Vault for managing encryption keys.

–          Compliance and Governance: Ensuring that Azure environments comply with relevant regulatory requirements and industry standards such as GDPR, HIPAA, PCI DSS, etc. Implementing governance policies and controls to enforce compliance standards.

–          Security Monitoring and Incident Response: Setting up monitoring tools and alerts to detect and respond to security threats and incidents in real time. This involves analyzing logs, investigating security breaches, and implementing remediation actions.

–          Security Automation and Orchestration: Leveraging Azure automation tools like Azure Policy, to automate security configurations and ensure consistent deployment of security controls.

Azure Security Automation Engineer (PowerShell)

Setting Up VSCode for PowerShell and AzureCLI

·       Installing VSCode: Steps to download and install.

·       Installing AzureCLI: Downloading and configuring AzureCLI for integration.

·       Configuring VSCode: Setting up the terminal for PowerShell and AzureCLI usage.

·       Basic Usage of VSCode: File creation, running scripts, and keyboard shortcuts.

File System Management and Automation

·       Basic File and Directory Management: Creating, copying, moving, and deleting files and directories.

·       Advanced Directory Management: Managing large file systems, recursive operations.

·       File and Directory Permissions: Understanding and automating permission management.

Automation for IT Operations

·       Automating Common Tasks: Automating software installation, managing network configurations, and system tasks.

·       Managing Services: Automating service management (e.g., restarting, stopping, or checking status of Windows services).

PowerShell Scripting Basics

·       Variables, Loops, and Conditionals: Understanding control flow and variables.

·       Functions and Modules: Creating reusable code with functions and modules.

·       Error Handling and Debugging: Techniques for handling errors and debugging scripts effectively.

Azure/Cloud Automation

·       Provisioning Cloud Resources: Using PowerShell to provision and configure resources in Azure.

·       Managing Azure Resources: Automating the deployment, scaling, and management of Azure cloud resources.

• Advanced Cloud Automation: Implementing advanced automation techniques for cloud management and scaling.