Decoding DevOps - From Basics to Advanced Projects with AI Course Syllabus

Full curriculum breakdown — modules, lessons, estimated time, and outcomes.

Overview: This course offers a comprehensive introduction to DevOps fundamentals, blending core practices with AI-enhanced automation. Designed for intermediate learners, it guides you from foundational concepts to advanced project implementations. With a mix of hands-on labs, real-world case studies, and guided projects, the course spans approximately 15-20 hours of engaging content. Ideal for aspiring DevOps and cloud engineers, it emphasizes practical skills in CI/CD, containerization, and secure cloud architectures, setting a strong foundation for modern software delivery workflows.

Module 1: Network Security Fundamentals

Estimated time: 4 hours

  • Review of tools and frameworks commonly used in practice
  • Hands-on exercises applying network security fundamentals techniques
  • Case study analysis with real-world examples
  • Interactive lab: Building practical solutions

Module 2: Threat Detection & Analysis

Estimated time: 2 hours

  • Hands-on exercises applying threat detection & analysis techniques
  • Case study analysis with real-world examples
  • Guided project work with instructor feedback
  • Quiz and peer-reviewed assignment

Module 3: Cloud Security Architecture

Estimated time: 2 hours

  • Review of tools and frameworks commonly used in practice
  • Discussion of best practices and industry standards
  • Guided project work with instructor feedback

Module 4: Identity & Access Management

Estimated time: 3 hours

  • Review of tools and frameworks commonly used in practice
  • Discussion of best practices and industry standards
  • Guided project work with instructor feedback
  • Quiz and peer-reviewed assignment

Module 5: Incident Response & Recovery

Estimated time: 3 hours

  • Introduction to key concepts in incident response & recovery
  • Hands-on exercises applying incident response & recovery techniques
  • Guided project work with instructor feedback

Module 6: Compliance & Risk Management

Estimated time: 4 hours

  • Review of tools and frameworks commonly used in practice
  • Hands-on exercises applying compliance & risk management techniques
  • Quiz and peer-reviewed assignment

Prerequisites

  • Basic understanding of cloud computing concepts
  • Familiarity with command-line interfaces and scripting
  • Introductory knowledge of software development or IT operations

What You'll Be Able to Do After

  • Perform vulnerability assessments and penetration testing
  • Configure cloud infrastructure following security best practices
  • Design secure architectures for enterprise IT environments
  • Master identity and access management principles
  • Apply industry frameworks for risk assessment and compliance
View Full Course Review

Course AI Assistant Beta

Hi! I can help you find the perfect online course. Ask me something like “best Python course for beginners” or “compare data science courses”.