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Grafana

Master Grafana from scratch and learn to build dynamic, data-driven dashboards and monitoring solutions using real-world data sources
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Course Duration: 10 Hours
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Grafana – Build and Deploy Monitoring Solutions with Data – Online Course
 
Grafana - Build and Deploy Monitoring Solutions with Data is a comprehensive, self-paced online course crafted to transform aspiring data professionals, IT enthusiasts, and tech professionals into confident monitoring and visualization creators.
 
Whether you are just starting your data visualization journey or expanding your skillset to include robust monitoring with Grafana, this course offers a solid foundation, practical experience, and step-by-step guidance for building and deploying dynamic, real-world monitoring applications.
 
At its core, Grafana is an open-source analytics and monitoring solution that allows you to query, visualize, alert on, and explore your metrics, logs, and traces. Unlike complex, vendor-locked solutions, Grafana provides flexibility and control—making it an ideal choice for those who want to learn data visualization and monitoring from the ground up without unnecessary complexity. This course leverages that advantage by starting with the basics and steadily progressing to more advanced concepts, all while keeping the learning experience engaging and project-driven.
 
Through an in-depth, hands-on approach, this course covers everything you need to become proficient in Grafana. You'll begin with the fundamentals—setting up your environment, connecting to various data sources like Prometheus, InfluxDB, PostgreSQL, and Elasticsearch, and creating your first dashboards. As you progress, you'll build advanced visualizations, implement powerful alerting systems, integrate with external services, manage users and organizations, and even schedule reporting. By the end, you’ll learn how to prepare your Grafana instance for real-world use by deploying it to production-grade platforms like Docker, Kubernetes, or cloud servers.
 
What You Will Gain
 
By the end of the course, you will have built multiple real-world projects, such as:
  • A comprehensive server monitoring dashboard with real-time metrics.
  • A website performance analytics dashboard showing user traffic and error rates.
  • An IoT sensor data visualization platform for real-time readings and historical trends.
  • These projects aren't just for practice—they serve as portfolio-ready applications that showcase your ability to build scalable and production-ready monitoring and visualization solutions using Grafana.
But this course goes beyond building dashboards—it helps you understand how real-world data monitoring works. You'll learn how to:
  • Connect your Grafana instances to various data sources including time-series databases, relational databases, and log aggregation tools.
  • Use advanced query languages like PromQL for Prometheus and Flux for InfluxDB to extract meaningful insights.
  • Secure your Grafana deployments through user authentication, role-based access control, and API key management.
  • Optimize and debug your dashboards and data queries using Grafana’s built-in tools and community plugins.
  • Structure your Grafana setup for maintainability and scalability, including provisioning and configuration as code.
  • Deploy your Grafana applications to popular platforms and keep them running in production, ensuring continuous monitoring.
Whether your goal is to become a DevOps engineer, a data analyst, a system administrator, contribute to open-source monitoring projects, or simply understand how data visualization works, this course is the gateway to achieving those ambitions.
 
Who This Course Is For
 
This course is perfect for:
  • Developers who want to add robust monitoring and visualization to their applications.
  • Students and beginners in IT or data science looking for a structured and approachable course.
  • System administrators and DevOps engineers transitioning to modern monitoring stacks.
  • Entrepreneurs and freelancers who want to build and deploy their own data visualization tools.
  • Tech professionals aiming to understand data aggregation, alerting, and dashboarding. Regardless of your starting point, the course is structured to take you from zero to deployment with clarity and confidence.
How to Use This Course Effectively
 
To maximize your learning and apply your skills effectively, follow these tips for using the course:
  1. Follow the Sequence The course is designed to build progressively on knowledge. Start from the first module and move forward in order. Each concept introduces new techniques while reinforcing previously learned skills. Skipping ahead may cause confusion later, especially in projects that require cumulative understanding.
  2. Build Alongside the Instructor Hands-on practice is essential. As you watch the video tutorials, build along in your own Grafana environment. Don’t just observe—configure the data sources, create the panels, experiment with variations, and troubleshoot errors. This repetition will solidify your learning and build real-world problem-solving skills.
  3. Use the Projects as Practice and Portfolio Pieces Each project you build during the course has real-world value. Customize them, add your own features, and consider documenting them or even deploying them for public access (where appropriate). These projects can become part of your portfolio when applying for jobs or freelance gigs.
  4. Take Notes and Bookmark Key Concepts Keep a monitoring journal. Write down important queries, panel configurations, best practices, and lessons learned. Bookmark the modules covering key concepts like alerting, data source integration, or dashboard templating for quick reference.
  5. Utilize the Community and Support Resources If the course offers a discussion forum, Slack group, or Q&A section, use it! Ask questions when you're stuck and help others when you can. Participating in a community will deepen your understanding and expose you to diverse perspectives and solutions.
  6. Explore Plugins and Documentation Grafana has a rich ecosystem of official and community-contributed plugins—for new data sources, panel visualizations, and applications. The course introduces several of them, but you’re encouraged to explore their documentation further. Developing the habit of reading official docs will make you a more independent and resourceful data professional.
  7. Practice Deployment Early and Often Deploying a Grafana instance, even a small one, teaches you how to troubleshoot, work with cloud platforms, and understand how monitoring solutions run in production. Don’t wait until the end of the course—try deploying after your first dashboard project. The experience is invaluable.
  8. Review and Revisit Data visualization and monitoring is a skill built through repetition and iteration. Don’t be afraid to revisit previous lessons or rebuild a dashboard from scratch. Each time you do, you’ll catch something new or improve your understanding.
Why Learn Grafana?
 
Grafana is one of the most widely-used open-source analytics and monitoring platforms because of its flexibility, extensive data source support, and powerful visualization capabilities. It’s trusted by companies of all sizes for monitoring their infrastructure, applications, and business metrics. Learning Grafana gives you complete control over your monitoring architecture while teaching you valuable concepts applicable to any modern data visualization tool.
 
This course not only teaches you Grafana—it empowers you to build real monitoring solutions, deploy them like a pro, and understand the entire data visualization and alerting process from data ingestion to actionable insights. It’s practical, engaging, and career-oriented. Whether you're learning Grafana for a job, a personal project, or to start a business, this course provides the foundation and confidence to succeed. Start today, and begin building the skills to create, launch, and manage your own monitoring and analytics applications with Grafana.

Course Objectives Back to Top
By the end of this course, you will be able to:
 
  1. Understand the fundamental architecture and components of the Grafana platform.
  2. Connect Grafana to various data sources like Prometheus, InfluxDB, PostgreSQL, and Elasticsearch.
  3. Create dynamic and interactive dashboards using various panel types and visualization options.
  4. Develop and configure robust alerting rules and notification channels.
  5. Implement advanced dashboard features like variables, templating, and annotations.
  6. Manage users, organizations, and permissions within Grafana.
  7. Automate Grafana provisioning using configuration as code.
  8. Deploy Grafana applications to platforms such as Docker, Kubernetes, or cloud servers.
  9. Apply best practices for optimizing Grafana performance and securing instances in a production environment.
Course Syllabus Back to Top
Grafana Course Syllabus

 
Module 1: Getting Started with Grafana
  • Introduction to Grafana and its Ecosystem
  • Setting Up Your Environment (Local, Docker)
  • Exploring the Grafana UI
Module 2: Connecting to Data Sources
  • Understanding Data Sources in Grafana
  • Connecting to Prometheus
  • Connecting to InfluxDB
  • Connecting to PostgreSQL
  • Connecting to Elasticsearch/Loki
  • Adding Other Data Sources
Module 3: Building Your First Dashboard
  • Dashboard Fundamentals
  • Creating Panels and Rows
  • Visualizations: Graph, Stat, Gauge, Table
  • Time Ranges and Auto-refresh
Module 4: Advanced Visualizations
  • Heatmaps, Worldmap, Pie Chart
  • Singlestat and Bar Gauge
  • Customizing Panel Options
  • Using Transformations
Module 5: Templating and Variables
  • Introduction to Variables
  • Query Variables
  • Custom and Constant Variables
  • Global Variables and Functions
  • Using Variables for Dynamic Dashboards
Module 6: Alerting in Grafana
  • Understanding Grafana Alerts
  • Creating Alert Rules
  • Notification Channels (Email, Slack, PagerDuty)
  • Alert States and Evaluation
Module 7: User Management and Security
  • Users, Roles, and Permissions
  • Organizations and Teams
  • Authentication Methods (Basic Auth, LDAP, OAuth)
  • API Keys and Security Best Practices
Module 8: Grafana Provisioning and Automation
  • Dashboard as Code (JSON Model)
  • Data Source Provisioning
  • Alerting Provisioning
  • Automating Grafana Deployments
Module 9: Advanced Topics and Integrations
  • Annotations and Events
  • Plugins and Extensions
  • Grafana Loki for Log Monitoring
  • Grafana Tempo for Tracing
Module 10: Performance Optimization and Troubleshooting
  • Optimizing Data Source Queries
  • Dashboard Performance Tips
  • Troubleshooting Common Grafana Issues
  • Logging and Debugging Grafana
Module 11: Deployment and Production Setup
  • Deployment Concepts (Docker, Kubernetes)
  • Running Grafana in Production
  • Backup and Restore Strategies
  • Scaling Grafana Instances
Modules 12: Project-Based Learning
  • Server and Network Monitoring Dashboard
  • Application Performance Monitoring (APM) Dashboard
  • Website Analytics and User Engagement Dashboard
  • Home Automation/IoT Data Visualization
  • Business Metrics and KPI Dashboard
Module 13: Grafana Interview Questions & Answers
  • Top Interview Questions
  • Best Practices and Explanations
Certification Back to Top
Upon successful completion of the course, learners will receive an industry-recognized Certificate of Completion from Uplatz that validates their skills in Grafana and data visualization. This certification serves as a powerful addition to a resume or LinkedIn profile, demonstrating a candidate’s proficiency in building monitoring solutions, integrating various data sources, and deploying production-ready Grafana instances. It helps professionals stand out in job interviews and increases credibility when applying for roles such as DevOps Engineer, Data Analyst, Site Reliability Engineer, or Monitoring Specialist. The certificate reflects both theoretical understanding and practical experience gained through hands-on projects, making learners job-ready.
Career & Jobs Back to Top
Grafana skills are in high demand in the software development and IT operations industries, especially among companies focused on observability, DevOps, and data-driven decision-making. Completing this course prepares learners for roles such as:
 
  • DevOps Engineer
  • Site Reliability Engineer (SRE)
  • Data Analyst
  • Monitoring Specialist
  • Cloud Engineer
  • IT Operations Specialist Professionals with Grafana skills can pursue job opportunities at tech companies, cloud service providers, consultancies, and organizations of all sizes that require robust monitoring and analytics capabilities.
Interview Questions Back to Top
  1. What is Grafana and what is its primary use?
    Grafana is an open-source analytics and monitoring solution that allows you to query, visualize, alert on, and explore your metrics, logs, and traces. Its primary use is to create interactive and dynamic dashboards for operational intelligence.
  2. Name some common data sources you can connect to Grafana.
    Common data sources include Prometheus, InfluxDB, Elasticsearch, Loki, PostgreSQL, MySQL, Microsoft SQL Server, Graphite, and CloudWatch.
  3. How do you create a dashboard in Grafana?
    You create a dashboard by adding new panels. Each panel is configured to visualize data from a connected data source using specific queries and visualization types.
  4. Explain the concept of "panels" in Grafana dashboards.
    Panels are the building blocks of Grafana dashboards. Each panel represents a specific visualization (e.g., graph, stat, table) and displays data from a query against a data source.
  5. What are Grafana "variables" and why are they useful?
    Variables in Grafana allow you to create dynamic and interactive dashboards. They can represent values from queries, custom lists, or even global parameters, enabling users to filter and switch data views without modifying the underlying queries.
  6. How do you set up an alert in Grafana?
    Alerts are set up on panels by defining alert conditions based on query results, specifying evaluation intervals, and configuring notification channels (e.g., email, Slack, PagerDuty).
  7. What is Grafana's role in a typical monitoring stack alongside tools like Prometheus or Loki?
    Grafana acts as the visualization and alerting layer. Prometheus typically handles metrics collection and storage, while Loki handles log aggregation. Grafana then queries these systems to display and alert on the collected data.
  8. How can you manage user access and permissions in Grafana?
    Grafana allows managing users, roles, and organizations. Users can be assigned different roles (Viewer, Editor, Admin) at the organization level, controlling their access to dashboards and data sources.
  9. What is "provisioning" in Grafana and why is it important?
    Provisioning in Grafana refers to the ability to define dashboards, data sources, and alerting rules using configuration files (YAML/JSON) rather than through the UI. It's important for automation, version control, and maintaining consistency across environments.
  10. How can you optimize the performance of a Grafana dashboard?
    Performance can be optimized by optimizing data source queries, using efficient data aggregation, limiting the number of panels and queries, setting appropriate refresh intervals, and leveraging dashboard variables effectively.
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