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I’m organising a practical training block for a small group of intermediate-level engineers who work on Linux every day. They already know the very basics of Git, but they need to become confident with real-world workflows and a full CI/CD pipeline. The sessions must be fully hands-on: screen-sharing, live commands, quick coding exercises and immediate feedback rather than slide decks. We’ll spin up our own repos and pipelines so everyone leaves with muscle memory, not just notes. Core topics I want you to cover • Version control in GitHub: project setup, protected branches, pull-request etiquette • GitLab CI/CD: pipeline creation, runner configuration, environment variables, artefact handling • Git fundamentals in depth: merge vs rebase, pull/commit logic, resolving conflicts in both GUI and CLI • Branching strategy: creating local branches, making changes, cleaning history, pushing safely • Publishing to our remote JFrog Artifactory repo and validating uploads By the end, each participant should be able to clone, branch, implement a feature, open a merge request, pass the pipeline and push a packaged artefact to JFrog without supervision. Please outline: 1. Your DevOps training experience (GitLab, GitHub, JFrog). 2. A proposed agenda with rough time blocks and lab ideas. 3. Any tooling or prerequisites learners should install beforehand. Live delivery over Zoom/Meet is fine; recordable sessions are a plus so trainees can replay the walkthroughs later. Let’s schedule the first workshop as soon as we agree on the outline.
Project ID: 40439178
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7 freelancers are bidding on average ₹7,514 INR for this job

Hi, I can deliver fully hands-on DevOps training focused on real-world Git workflows, GitLab CI/CD, and JFrog integration. With 15+ years of DevOps experience, I’ve trained engineers and teams on practical CI/CD pipelines, Git collaboration, Linux workflows, and artifact management. Training experience: • GitHub workflows, protected branches, PR reviews • GitLab CI/CD pipelines and runner setup • Docker, Linux, automation, and deployment workflows • JFrog Artifactory publishing and validation Proposed agenda: • Git workflow deep dive (branching, merge vs rebase, conflict resolution) • GitHub collaboration and PR best practices • Build GitLab CI/CD pipeline from scratch • Configure runners, variables, artifacts, and pipeline debugging • Package and publish artifacts to JFrog • End-to-end lab: clone → branch → commit → MR → pipeline → JFrog publish Lab style: • Live terminal-based exercises • Shared repositories and CI pipelines • Real troubleshooting and guided fixes • Recorded sessions available Prerequisites: • Linux machine or VM • Git, Docker, VS Code • GitHub/GitLab/JFrog access Timeline: Can start workshops immediately. Quick question: 1- How many participants and preferred session duration? Rahul
₹15,000 INR in 7 days
3.7
3.7

Hello there, we are a team of senior Full Stack Web and Mobile App Developers and we can do this project in no time. Please, send me a message to discuss the work. Thanks Ashish Kumar.
₹5,000 INR in 7 days
3.5
3.5

I understand the importance of hands-on training for engineers looking to enhance their Git and CI/CD skills. With a solid background in DevOps training, particularly with GitHub, GitLab, and JFrog, I am well-equipped to deliver an engaging and practical learning experience. My approach emphasizes real-world workflows, allowing participants to gain confidence through active participation rather than passive learning. For the proposed agenda, I suggest the following time blocks: - **Day 1:** Introduction to GitHub - project setup, protected branches, pull-request etiquette (2 hours) - **Day 2:** Deep dive into Git fundamentals - merge vs rebase, resolving conflicts (2 hours) - **Day 3:** GitLab CI/CD basics - pipeline creation, runner configuration (2 hours) - **Day 4:** Advanced CI/CD - environment variables, artifact handling (2 hours) - **Day 5:** Branching strategy and best practices (2 hours) - **Day 6:** Publishing to JFrog Artifactory and validation (2 hours) - **Day 7:** Lab sessions for practical application (2 hours) Participants should have Git, GitHub, GitLab, and JFrog CLI installed prior to the workshop. I can conduct the sessions live over Zoom/Meet and provide recordings for future reference. Let's finalize the outline and schedule the first workshop at your earliest convenience.
₹8,100 INR in 14 days
0.0
0.0

Hi, Your training brief is exactly the kind of engagement I enjoy most , no slide decks, no theory overload, just engineers sitting in front of real terminals building real muscle memory. I've designed and delivered similar programmes before, so let me walk you through how I'd approach yours. **1. My Relevant Experience** • **GitHub / GitLab** - I've run hands-on workshops covering protected branches, PR/MR etiquette, merge vs. rebase strategies, and conflict resolution for teams ranging from 5 to 30 engineers. I've also built and maintained GitLab CI/CD pipelines in production: multi-stage YAML configs, shared and project-specific runners, masked environment variables, cache/artefact management, and deployment gates. • **JFrog Artifactory** - I've configured Artifactory as the central artefact store for Maven, npm, Docker, and generic repositories, including setting up CI jobs that publish and validate build artefacts automatically. • **Linux-first delivery** - All my labs run natively on Linux, so your engineers won't hit the "works differently on my machine" friction that plagues Windows-centric training.
₹6,000 INR in 7 days
0.0
0.0

Hi, I am Prashanth who has more than 8 years of working experience in DevOps with multiple MNC's. And i have conducted many internal trainings, webinars, classes and discussions. I have solid working experience in Jenkins, AzureDevops, gitLab (CI/CD), AWS, Azure, Kubernetes, Terraform and Linux. I will be able to deliver the proper training to the candidates. And one day session or 2 days session is more than enough to complete this trainings. Give me an opportunity and you will see what i can deliver
₹6,500 INR in 5 days
0.0
0.0

Chennai, India
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