The Prometheus Course training flow is designed to equip participants with the knowledge and skills needed to monitor and manage complex systems using Prometheus, an open-source monitoring and alerting toolkit. The course will cover Prometheus setup, data collection, querying, alerting, and integrating with other tools like Grafana for visualization.

Here’s the high-level training flow for the Prometheus Course:

1. Requirement Gathering & Training Need Analysis (TNA)

   • Identify the learners' current understanding of monitoring tools and their specific needs for using Prometheus. Determine if they need to focus on basic setup, advanced query techniques, or integration with other tools like Grafana or Alertmanager.

2. Curriculum Finalization + Agenda Approval

   • Finalize the course structure covering core Prometheus concepts such as installation, metrics collection, queries (PromQL), alerting, and integrations. Get approval from stakeholders to ensure the agenda aligns with learning objectives.

3. Environment Setup (Labs, Tools, Accounts)

   • Set up the required environments for hands-on practice. This may involve installing Prometheus, Grafana, and any other monitoring tools in the lab environments, along with setting up necessary accounts for cloud or on-prem environments.

4. Content Preparation (Slides, Demos, Code, Exercises)

   • Develop detailed slides to explain Prometheus concepts, live demo scripts to showcase Prometheus setup and configuration, and exercises to reinforce learning, including writing queries and setting up monitoring for different systems.

5. Delivery of Training (Live Sessions / Workshops)

   • Conduct live, interactive sessions where participants can learn about Prometheus setup, metrics collection, and PromQL queries. Combine theory with hands-on workshops where learners can practice by setting up monitoring and configuring alerts.

6. Daily Recap + Assignments + Lab Reviews

   • After each session, provide a recap of the key points and assign tasks for participants to practice. Conduct regular reviews of their lab work to ensure they are properly applying Prometheus concepts and configurations.

7. Assessment / Quiz / Project Submission

   • Evaluate learners through quizzes and hands-on projects such as setting up Prometheus for real-world use cases or creating custom dashboards with Grafana. Ensure that the assessments align with practical application.

8. Feedback Collection

   • Gather feedback from participants at the end of each session to assess the clarity of concepts, the effectiveness of the training, and areas where learners may require more support.

9. Post-Training Support (Q&A, Slack/Telegram Group)

   • Provide ongoing support through Q&A sessions and communication channels like Slack or Telegram. This will allow participants to seek help with any issues or questions that arise after the course.

10. Training Report Submission to Corporate Client

    • Deliver a comprehensive training report to the corporate client that includes participant progress, feedback, and recommendations for further training or support, ensuring that the course objectives were met successfully.