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  • Advanced AR/VR Developer (Track2)

    Advanced AR/VR Developer (Track2)

    CDsuper CDsuper

    Number of lessons: 36

  • Advanced Cybersecurity Operations (Track 2 –24 Weeks)

    Advanced Cybersecurity Operations (Track 2 –24 Weeks)

    CDsuper CDsuper

    Number of lessons: 17

  • Advanced Data Science & AI Applications (Track2)

    Advanced Data Science & AI Applications (Track2)

    CDsuper CDsuper

    Number of lessons: 46

  • Advanced Full Stack JavaScript (Track 2)

    Advanced Full Stack JavaScript (Track 2)

    CDsuper CDsuper

    Number of lessons: 53

  • Advanced Game Design & Interactive Storytelling (Track 2)

    Advanced Game Design & Interactive Storytelling (Track 2)

    CDsuper CDsuper

    Number of lessons: 22

  • AI Developer Advanced Course-Hands-On, Project-Based Learning-(Track 2)

    AI Developer Advanced Course-Hands-On, Project-Based Learning-(Track 2)

    CDsuper CDsuper

    Number of lessons: 39

  • AI Developer Fundamentals – Prerequisite Course (Track 1)

    AI Developer Fundamentals – Prerequisite Course (Track 1)

    CDsuper CDsuper

    Number of lessons: 37

  • Business Development Track for Somali Entrepreneurs+

    Business Development Track for Somali Entrepreneurs+

    CDsuper CDsuper

    Number of lessons: 40

  • Cloud computing & DevOps

    Cloud computing & DevOps

    CDsuper CDsuper

    Number of lessons: 93

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My Courses

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Course Syllabus

  • Chapter 1.1: Linux for Cloud Professionals
    • Lesson 1 –Stage 1 – Linux for Cloud Professionals
    • Lesson 1.1.1 – Linux CLI & Permissions
    • Lesson 1.1.2 – Package Management & Services
    • Lesson1.1.3 – Bash Scripting Basics
    • Lesson1.1.4 – SSH, rsync, and Remote Access
  • Chapter 1.2: Networking Fundamentals
    • Lesson 1.2.1 – TCP/IP, DNS, Firewalls
    • Lesson 1.2.2 – NAT, Subnetting, and Routing
    • Lesson 1.2.3 – Tools: netstat, nmap, traceroute
    • Lesson 1.2.4 – Port Exposure & Zero Trust Mindset
  • Chapter 1.3: Intro to Cloud Platforms
    • Lesson 1.3.1 – Cloud Concepts: IaaS, PaaS, SaaS
    • Lesson 1.3.2 – Shared Responsibility Model
    • Lesson 1.3.3 – AWS vs Azure vs GCP Overview
    • Lesson 1.3.4 – Free Tier Setup & CLI Tools
  • Chapter 2.1: AWS Fundamentals
    • Lesson –2 – Stage 2 – Cloud Platform Mastery (AWS, Azure, GCP)
    • Lesson 2.1.1 – IAM & S3 Bucket Hardening
    • Lesson 2.1.2 – EC2 Instances & Key Pairs
    • Lesson 2.1.3 – CloudTrail & Billing Alerts
    • Lesson 2.1.4 – Real-World Misconfigs + Lab
  • Chapter 2.2: Azure Fundamentals
    • Lesson 2.2.1 – RBAC & Identity Control
    • Lesson 2.2.2 – Azure Resource Groups & VMs
    • Lesson 2.2.3 – Azure Monitor & Network Watcher
    • Lesson 2.2.4 – Azure CLI & Defender Lab
  • Chapter 2.3: GCP Crash Course
    • Lesson 2.3.1 – IAM & Service Accounts
    • Lesson 2.3.2 – Cloud Storage + VPC Configuration
    • Lesson 2.3.3 – Stackdriver Logging & Alerts
    • Lesson 2.3.4 – GCP Cost Control & Labs
  • Chapter 3.1: Git & Version Control
    • Lesson –3 – Stage 3 – DevOps Essentials: Git, CI/CD, Containers
    • Lesson 3.1.1 – Git CLI Basics + GitHub Workflow
    • Lesson 3.1.2 – Branching Strategies + .gitignore
    • Lesson 3.1.3 – GitHub Actions for Beginners
    • Lesson 3.1.4 – Git Repos in DevOps Pipelines
  • Chapter 3.2: Containers (Docker)
    • Lesson 3.2.1 – Intro to Docker Images, Volumes, Networks
    • Lesson 3.2.2 – Dockerfile Best Practices
    • Lesson 3.2.3 – Running Multi-Container Apps
    • Lesson 3.2.4 – Docker Compose & Port Mapping Labs
  • Chapter 3.3: CI/CD Principles
    • Lesson 3.3.1 – CI vs CD: Pipeline Mindset
    • Lesson 3.3.2 – GitHub Actions, Jenkins, GitLab CI
    • Lesson 3.3.3 – Deploy on Push, Testing Phases
    • Lesson 3.3.4 – Break/Fix CI/CD Simulation
  • Chapter 4.1: Terraform IAC
    • Lesson 4 – Stage 4 – Infrastructure Automation & Provisioning
    • Lesson 4.1.1 – Terraform Init, Plan, Apply
    • Lesson 4.1.2 – Providers, Modules & State
    • Lesson 4.1.3 – AWS + Azure Resource Creation
    • Lesson 4.1.4 – CI/CD + Terraform Workflow
  • Chapter 4.2: Configuration Management
    • Lesson 4.2.1 – Ansible vs Shell Scripting
    • Lesson 4.2.2 – Playbooks & Inventory
    • Lesson 4.2.3 – Common Roles: NGINX, Docker, Users
    • Lesson 4.2.4 – Ansible + AWS Integration
  • Chapter 4.3: DevSecOps Foundations
    • Lesson 4.3.1 – Integrating Security into CI/CD (SAST, DAST basics)
    • Lesson 4.3.2 – Secrets Management (Vault, AWS Secrets Manager, Azure Key Vault)
    • Lesson 4.3.3 – Compliance & Governance (GDPR, HIPAA, SOC2 overview)
    • Lesson 4.3.4 – Hands-On Lab: Secure a CI/CD pipeline with secrets + scanning
  • Chapter 4.4: Kubernetes Basics
    • Lesson 4.4.1 – Kubernetes Architecture & Core Concepts
    • Lesson 4.4.2 – kubectl & Cluster Setup
    • Lesson 4.4.3 – Deployments & Services
    • Lesson 4.4.4 – ConfigMaps, Secrets & Volumes
    • Lesson 4.4.5 – Helm & Package Management (Optional Advanced)
  • Chapter 4.5: Serverless Functions
    • Lesson 4.5.1 – Introduction to Serverless Computing
    • Lesson 4.5.2 – AWS Lambda Basics
    • Lesson 4.5.3 – Azure Functions & Event-Driven Workflows
    • Lesson 4.5.4 – Google Cloud Functions & Pub/Sub
    • Lesson 4.5.5 – Serverless CI/CD & Real-World Use Cases
  • Chapter 4.6: FinOps & Cost Optimization
    • Lesson 4.6.1 – Introduction to FinOps Principles
    • Lesson 4.6.2 – Cloud Billing & Cost Visibility
    • Lesson 4.6.3 – Rightsizing & Resource Optimization
    • Lesson 4.6.4 – Budgeting, Forecasting & Alerts
    • Lesson 4.6.5 – Advanced FinOps Practices & Culture
  • Chapter 5.1: Logging & Alerting
    • Lesson 5 – Stage 5 – Monitoring, Observability & Incident Response
    • Lesson 5.1.1 – Log Pipeline Design (Elastic, Loki)
    • Lesson 5.1.2 – Syslog, CloudWatch, FluentD
    • Lesson 5.1.3 – Parsing Logs with Logstash & Regex
    • Lesson 5.1.4 – Alert Conditions & Action Groups
  • Chapter 5.2: Monitoring & Metrics
    • Lesson 5.2.1 – Prometheus: Metric Scraping
    • Lesson 5.2.2 – Grafana Dashboards
    • Lesson 5.2.3 – Health Checks & Exporters
    • Lesson 5.2.4 – AlertManager & Incident Response
  • Chapter 6.1: DevOps Capstone Challenge
    • Lesson 6 – Stage 6 – Capstone, Portfolio & Job Preparation
    • Lesson 6.1.1 – Build a Full CI/CD Pipeline to Cloud
    • Lesson 6.1.2 – Infra with Terraform + Ansible
    • Lesson 6.1.3 – Logs to ELK + Monitoring Dashboards
    • Lesson 6.1.4 – Submit IR Report + Video Walkthrough
  • Chapter 6.2: Resume + LinkedIn + GitHub
    • Lesson 6.2.1 – Translating Labs into RĂ©sumĂ© Bullets
    • Lesson 6.2.2 – LinkedIn Headline & Summary for DevOps
    • Lesson 6.2.3 – Structuring a GitHub Portfolio (repos, READMEs, CI/CD badges)
    • Lesson 6.2.4 – Publishing Case Studies on LinkedIn/Medium
    • Lesson 6.2.5 – Adding Dashboards & Terraform Repos to Portfolio
  • Chapter 6.3: Teamwork & Agile in DevOps
    • Lesson 6.3.1 – Agile & Scrum Basics for DevOps Teams
    • Lesson 6.3.2 – Collaboration Tools (Jira, Confluence, Slack integrations)
    • Lesson 6.3.3 – Writing & Running Postmortems (incident communication)
    • Lesson 6.3.4 – Peer Review Simulation
  • Chapter 6.4: Mock Interviews + Career Launch
    • Lesson 6.4.1 – Tier 1 Cloud + DevOps Interview Sim
    • Lesson 6.4.2 – Final Job Plan Tracker + Accountability
    • Lesson 6.4.3 – Free Certifications & CareerDispatch.com Certificate of Completion

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