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DevOps

GitHub Actions

The “GitHub Actions – Automating CI/CD Processes” training is an intensive, hands-on course for developers, DevOps specialists, and technical leaders who want to streamline processes in their teams.

Duration
24h · 3 days
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Who it's for

Ideal for teams that…

1 Developers, DevOps engineers, and professionals responsible for implementing and automating IT project processes
2 Teams aiming to improve quality assurance through automated testing and deployments
3 Individuals starting their CI/CD journey or looking to optimize their GitHub pipelines
4 Repository administrators and technical leaders introducing modern DevOps tools into their organizations
Outcomes after the program

Cloud, automation and CI/CD in practice — hands-on for engineering teams.

✓

Practical principles of building and automating workflows using GitHub Actions

✓

How to create and optimize CI/CD workflows in GitHub Actions from scratch

✓

Configuring tests, builds, and deployments for different technologies directly within GitHub

✓

Skills in integrating GitHub Actions with popular cloud tools and managing secrets securely

✓

Best practices for optimization, debugging, and creating custom actions

Program

What we actually do

  • · Day 1: GitHub Actions Fundamentals and Practical CI Module 1: Introduction to CI/CD and GitHub Actions The role of CI/CD in modern DevOps GitHub Actions architecture: runners, jobs, steps, events Comparison with other systems: GitLab CI, Jenkins, CircleCI Module 2: Workflow basics Creating workflows for pushes, pull requests, tags Running unit and integration tests Using official and community actions (e.g., actions/checkout, setup-node)
  • · Day 2: Advanced Workflows and Deployments Module 3: Parameterization and security Reusability of workflows (inputs, outputs) Secret management – GitHub Secrets, environment protection rules Handling conditions (if, expressions, continue-on-error) Module 4: Deployments and external system integration Deployment to: Docker Hub, AWS (ECS, Lambda), Azure, GCP Integration with Kubernetes, Terraform, and Ansible GitHub Environments – staging/production, approvals
  • · Day 3: Custom Actions, Optimization, and Best Practices Module 5: Creating custom GitHub Actions Composite Actions vs. Docker Actions Creating actions in JavaScript and publishing to GitHub Marketplace Example actions for test or deployment handling Module 6: Debugging, optimization, and scaling Effective pipeline debugging Caching, concurrency, artifacts, and matrix builds Scaling and cost considerations for GitHub Actions (public vs. self-hosted runners)
Every module is adapted to your stack and context. The above is a starting point — not a fixed agenda.
How we work

From brief to retro in 30 days.

01

Brief & diagnosis

A call with the team lead + a short survey for participants. We define goals, gap and context.

02

Program customization

We adapt modules, case studies and code examples to your stack. Approval in 5 days.

03

Workshop

Trainer-led sessions, hands-on, code review. Mentor available between sessions too.

04

Retro + report

Outcome report for the team and lead. 30 days of consulting included.

Inquiry

Send a brief. We'll reply within 1 day.

After a short brief we'll prepare a program and a quote. No obligations — it's just a starting point.

✓Quote within 48h of the brief
✓First session within 30 days
✓Pilot before the full decision
✓VAT invoice, payment in instalments possible

How we handle your data

We process your business data (name, work e-mail, phone number, company, job title) in order to handle your corporate training inquiry and prepare an offer. The data controller is infoShare Academy Sp. z o.o., Al. Grunwaldzka 472B, 80-309 Gdańsk. Providing the data is voluntary but necessary to receive a response. You have the right to access, rectify, erase or restrict the processing of your data and to object to it. Full information is available in our data processing notice.

Optional marketing consents

The controller of your personal data is infoShare Academy sp. z o.o. The rules for processing personal data are set out in the Privacy Policy and the Data Processing Notice.

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