Master practical DevOps and coding interview skills: build CI/CD release pipelines with Azure DevOps, use Git and Bitbucket with professional workflows, and strengthen algorithm foundations for technical interviews. Hands-on labs, real-world examples, and ready-to-use templates to make you job-ready.

What this Bundle covers:

This bundle combines three focused courses to prepare you for developer, DevOps, and interview-ready software engineering roles. Start with Azure DevOps Crash Course to learn pipelines, builds, releases, and artifact management so you can automate delivery. Continue with Learn GIT In depth with BitBucket to adopt industry-standard branching strategies, pull-request workflows, and merge practices. Finish with Learn Data Structures & Algorithms for Interviews - PART 1 to build strong fundamentals in arrays, linked lists, stacks, queues and essential algorithm patterns used in interviews. Each course includes hands-on exercises, sample projects, repo templates, and CI/CD examples so you can apply these skills immediately.

What I will Learn:

• Azure DevOps Crash Course — Build CI/CD release pipelines:
  
  
• Azure DevOps fundamentals: projects, repos, pipelines, boards, and artifacts
  
  
• Build pipelines: YAML and classic editors, agents, tasks, and caching strategies
  
  
• Release pipelines and deployments: stages, approvals, environments, and deployment patterns (blue/green, canary)
  
  
• Integrating tests and quality gates: unit tests, test reporting, and policy enforcement
  
  
• Pipeline secrets and variable groups, service connections, and secure deployment practices
  
  
• Automating releases to Azure services and container registries; creating reusable pipeline templates
  
  
• Example pipeline repos and deployment runbooks
  
  
  
• Learn GIT In depth with BitBucket — Practical workflows:
  
  
  
• Git essentials and branching models: feature-branch, GitFlow, trunk-based workflows, and when to use each
  
  
• Bitbucket specifics: repositories, pull requests, branch permissions, and code reviews
  
  
• Advanced Git commands: rebase, cherry-pick, bisect, reflog, and resolving complex merge conflicts
  
  
• Commit hygiene: meaningful messages, squashing, and PR strategies for maintainability
• Integrating CI/CD with Bitbucket pipelines, webhooks, and automated checks
  
  
• Repo management best practices: submodules, large file handling (LFS), and release tagging
  
  
• Practical templates: PR templates, branching policy examples, and sample workflows
  
  
  
• Learn Data Structures & Algorithms for Interviews — PART 1:
  
  
• Core data structures: arrays, linked lists (singly/doubly), stacks, and queues — implementations and trade-offs
  
  
• Fundamental algorithm patterns: two pointers, sliding window, fast/slow pointers, and basic recursion
  
  
• Problem-solving techniques: step-by-step approach, complexity analysis (time/space), and edge-case handling
  
  
• Hands-on example problems with solutions and optimizations commonly asked in interviews
  
  
• Tips for coding interviews: writing clean code on whiteboard/IDE, explaining your approach, and common pitfalls
• Practice exercises and curated question set to build confidence for interviews
  
  
• Practical deliverables:
  
  
• Starter Azure DevOps pipeline templates, YAML examples, and deployment runbooks
  
  
• Bitbucket repo templates, PR and branching policy examples, and CI integration snippets
  
  
• Code samples for data structures, solved problems, and practice worksheets
  
  
• Checklists for pipeline security, code review, and interview readiness
  
  

Downloadable assets and practice material: pipeline repos, Bitbucket workflow guides, code snippets, problem sets with solutions, and exercise walkthroughs to practice and extend.

Become deployment- and interview-ready: automate build and release pipelines with Azure DevOps, manage source control with Git and Bitbucket using professional workflows, and strengthen core data-structure and algorithm skills required for technical interviews. Practical projects, templates, and exercises — everything needed to move from learning to doing in real jobs.