Let’s be real – diving into a new technology can feel pretty intimidating at times, especially when it comes to understanding all the nitty-gritty details, best practices, and real-life applications. And when that technology happens to be Apache Airflow, you can bet that the learning curve can seem steep. But, you know what? There’s no need to stress. Because, my friend, I have some fantastic news for you. Online courses are here to save the day! 🎉
In today’s fast-paced world, online learning has become a go-to resource for a diverse range of audiences, from beginners looking to kickstart their journey to experienced professionals seeking to sharpen their skills. As such, we have put together a comprehensive guide on the top Apache Airflow online courses, covering various levels of expertise and unique aspects of this powerful tool. So, get ready to roll up your sleeves and dive into the world of Apache Airflow like you never have before. Let’s get started, shall we?
Apache Airflow Courses – Table of Contents
- Apache Airflow: The Hands-On Guide
- Apache Airflow | A Real-Time & Hands-On Course on Airflow
- Master Airflow: Beginner to Advance with Project
- Apache Airflow: Complete Hands-On Beginner to Advanced Class
- Learn Airflow v2 in an hour
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Apache Airflow: The Hands-On Guide
Platform:
Udemy
Rating:
4.5 out of 5
Apache Airflow has become a must-have skill for those working with data, offering a platform to programmatically author, schedule, and monitor workflows. This comprehensive online course covers everything from the fundamentals of Airflow to mastering your Directed Acyclic Graphs (DAGs). You’ll explore a Forex Data Pipeline project, which allows you to work with various operators in Airflow, and tackles concepts such as timezones, unit testing your DAGs, and structuring your DAG folder.
Additionally, this course dives into scaling Airflow using different executors such as Local, Celery, and Kubernetes, with detailed explanations on how to specialize and add new workers. Learn how to set up a three-node Kubernetes cluster with Rancher, Airflow, and the Kubernetes Executor, both locally and in the cloud using AWS EKS. Practical exercises, best practices, and quizzes are provided throughout, as well as coverage of advanced topics like templating, utilizing sub-DAGs, and addressing security concerns. By the end of this course, you’ll be more confident than ever in using Airflow and ready to tackle real-world data challenges.
Skills you’ll learn in this course:
- Mastering Apache Airflow fundamentals
- Exploring various Airflow operators through the Forex Data Pipeline project
- Mastering DAGs with timezones, unit testing, and folder structuring
- Scaling Airflow through different executors
- Setting up a Kubernetes cluster with Rancher, Airflow, and Kubernetes Executor
- Learning advanced Airflow concepts such as templating, Subdags, and dependencies
- Setting up a Kubernetes cluster in the cloud with AWS EKS and Rancher
- Monitoring and securing Airflow with Elasticsearch, Grafana, RBAC, and data encryption
Apache Airflow | A Real-Time & Hands-On Course on Airflow
Platform:
Udemy
Rating:
4.5 out of 5
Get ready to dive into Apache Airflow, an amazing platform that has revolutionized the way we schedule data pipelines and risen to the status of a top-level Apache project. This online course is your ultimate guide to mastering the concepts of Apache Airflow with clear, hands-on examples from start to finish. You’ll gain thorough knowledge on XComs, Hooks, Pools, SubDAGs, Variables, Connections, Plugins, Adhoc queries, Sensors, and so much more. Plus, you’ll uncover best practices and real-time case studies to give you an edge in this cutting-edge technology.
What sets this course apart is its focus on real-time implementation, providing you with the tools and confidence to tackle any Airflow project. Exclusive features like Data Profiling, Charts, Trigger rules, airflowignore file, Zombies, Undeads, and the LatestOnly operator will be part of your learning journey. You’ll also have access to prompt answers for your questions and queries, various Apache Airflow codes and datasets used in lectures, and regular updates that incorporate new components. So buckle up and prepare yourself to enhance your skills with this comprehensive Apache Airflow course!
Skills you’ll learn in this course:
- Master Apache Airflow concepts from scratch to advanced levels
- Hands-on experience with developing and implementing workflows
- In-depth understanding of XComs, Hooks, Pools, SubDAGs, Variables, Connections, Plugins, Adhoc queries, Sensors, etc.
- Familiarity with exclusive features such as Data Profiling, Charts, Trigger rules, airflowignore file, Zombies, Undeads, and LatestOnly operator
- Knowledge of best practices for real-time Airflow projects
- Build data pipelines using Airflow with real-world case studies
- Confidence in joining and contributing to any Airflow project
- Access to updated course content and prompt answers to questions and queries
Master Airflow: Beginner to Advance with Project
Platform:
Udemy
Rating:
4.8 out of 5
Are you a data engineer, data scientist, python developer, or software engineer interested in mastering Apache Airflow? If so, this comprehensive course is just for you! Apache Airflow is an open-source platform used for workflow automation, scheduling, and orchestration of complex data pipelines. As data volumes and complexity continue to grow, the need for efficient and scalable data processing and management is critical. By taking this course, you’ll learn the ins and outs of using Apache Airflow to build and manage data pipelines, schedule and trigger tasks, monitor and troubleshoot workflows, and integrate with various data sources and services.
This course covers a wide range of topics, such as Apache Airflow basics, Docker and Docker Commands, building and managing workflows, scheduling and triggering tasks, using operators and sensors, integrating with cloud platforms like Azure and AWS, creating custom operators and sensors, handling dependencies and task retries, and scaling and optimizing the platform using Celery Executors. Throughout the journey, you’ll work on practical exercises and projects to apply the concepts you learn. By the end of the course, you’ll have a strong understanding of Apache Airflow and the skills to build and manage complex data workflows. So, are you ready to dive into the world of Apache Airflow and elevate your data processing game?
Skills you’ll learn in this course:
- Building and managing workflows with Apache Airflow
- Scheduling and triggering tasks in Apache Airflow
- Creating custom operators and sensors
- Handling dependencies and task retries
- Monitoring and troubleshooting workflows
- Integrating with data sources and services (AWS, Azure, Web APIs)
- Scaling and optimizing Apache Airflow for large-scale data processing
- Securing Dags Connections using Fernet Keys
Apache Airflow: Complete Hands-On Beginner to Advanced Class
Platform:
Udemy
Rating:
4.1 out of 5
Alexandra Abbas, an Apache Airflow Contributor and Google Cloud Certified Data Engineer, has put together an amazing online course for those who want to learn Apache Airflow from scratch. This course is designed to teach Airflow practically with every lecture accompanied by a full coding screencast. By the end of the course, you’ll be able to use Airflow professionally and add it to your CV.
This comprehensive course includes more than 4 hours of video, 50 lectures, quizzes, and coding exercises. Plus, you’ll get to work on 2 major real-life projects that you can add to your Github portfolio. The course covers everything from installing and setting up Airflow to developing complex data pipelines and interacting with Google Cloud. You’ll also learn how to extend Airflow with custom operators, test pipelines, monitor your instance using Prometheus and Grafana, and even track errors with Sentry. Don’t worry if you’re new to Apache Airflow, Data Engineering, or Google Cloud – this course is tailored for beginners and takes you through everything step by step. Plus, with lifetime access to lectures and resources, you’ll always have the information you need at your fingertips.
Skills you’ll learn in this course:
- Install and set up Apache Airflow
- Understand basic and advanced Airflow concepts
- Develop complex real-life data pipelines
- Interact with Google Cloud from Airflow instances
- Extend Airflow with custom operators and sensors
- Test Airflow pipelines and operators
- Monitor Airflow instances using Prometheus and Grafana
- Track errors with Sentry and run Airflow in production
Learn Airflow v2 in an hour
Platform:
Udemy
Rating:
4.7 out of 5
Are you looking to master Apache Airflow without spending too much time? Great news! There’s a course designed just for you. It aims to teach you the fundamentals of Airflow v2 in just an hour. The course focuses on the core concepts instead of production set up, so it’s perfect for learners who want to understand Airflow for work or even hobby projects.
Throughout the course, you’ll create an end-to-end workflow involving data cleansing and database writing, learn about various operators, and how to integrate them into your pipeline. Plus, it teaches you how to troubleshoot any issues you might face along the way. The sandbox environment provided allows for hands-on experience, ensuring you’ll walk away with practical skills that are easily transferable to real-life applications. Say hello to an efficient and fun way to dive into Airflow. Happy learning!
Skills you’ll learn in this course:
- Grasp core Airflow concepts.
- Create an end-to-end workflow for data processing.
- Utilize a variety of operators in your workflow.
- Troubleshoot issues in your code effectively.
- Set up and work with a sandbox environment.
- Transfer skills learned to professional work environments.
- Adapt to new operators in your workflow.
- Obtain experience with Airflow v2.
In closing, making the investment in an Apache Airflow online course is certainly a wise choice for those looking to advance their skills in data engineering, pipeline management, and workflow orchestration. The innovative platform has gained rapid popularity due to its flexibility and wide range of applications, making it a valuable skillset addition for both beginners and experienced professionals alike.
Don’t miss out on the opportunity to adapt to changing times and stay ahead in your career. The online course options we’ve discussed in this post offer a range of teaching styles and content depths to suit your individual needs, so make sure to choose the one that aligns best with your goals. Roll up your sleeves and dive into the world of Apache Airflow, and rest assured, this new knowledge will become a powerful asset in your professional development journey.