10 Best Apache Airflow courses on Udemy.
Please check below for more details for each course:
Apache Airflow: The Hands-On Guide
$389.00 in stock
Master Apache Airflow from A to Z. Hands-on videos on Airflow with AWS, Kubernetes, Docker and more

Apache Airflow Expert, Big Data Engineer
What Will I Learn?
- Coding Production Grade Data pipelines by Mastering Airflow through Hands-on Examples
- How to Follow Best Practices with Apache Airflow
- How to Scale Airflow with the Local, Celery and Kubernetes Wxecutors
- How to Set Up Monitoring with Elasticsearch and Grafana
- How to Secure Airflow with authentication, crypto and the RBAC UI
- Core and Advanced Concepts with Pros and Limitations
- Mastering DAGs with timezones, unit testing, backfill and catchup
- Organising the DAG folder and keep things clean
Requirements
- Notions of Docker and Python
- Virtual Box installed (Only for local Kubernetes cluster part)
- Vagrant installed
- The course "The Complete Hands-On Introduction to Apache Airflow" can be a nice plus.
Target audience
- Data Engineers
- Inspiring Data Engineers
- DevOps
- Software Engineers
- Data Scientists
The Complete Hands-On Introduction to Apache Airflow
$389.00 in stock
Learn to author, schedule and monitor data pipelines through practical examples using Apache Airflow

Apache Airflow Expert, Big Data Engineer
What Will I Learn?
- Create plugins to add functionalities to Apache Airflow.
- Using Docker with Airflow and different executors
- Master core functionalities such as DAGs, Operators, Tasks, Workflows, etc
- Understand and apply advanced concepts of Apache Airflow such as XCOMs, Branching and SubDAGs.
- The difference between Sequential, Local and Celery Executors, how do they work and how can you use them.
- Use Apache Airflow in a Big Data ecosystem with Hive, PostgreSQL, Elasticsearch etc.
- Install and configure Apache Airflow
- Think, answer and implement solutions using Airflow to real data processing problems
Requirements
- VirtualBox must be installed - A VM of 3Gb will have to be downloaded
- At least 8 gigabytes of memory
- Some prior programming or scripting experience. Python experience will help you a lot but since it's a very easy language to learn, it shouldn't be too difficult if you are not familiar with.
Target audience
- People being curious about data engineering.
- People who want to learn basic and advanced concepts about Apache Airflow.
- People who like hands-on approach.
Apache Airflow: The Operators Guide
$389.00 in stock
Step up with Apache Airflow! Master Airflow Operators and create incredible data pipelines!

Apache Airflow Expert, Big Data Engineer
What Will I Learn?
- Master Apache Airflow Operators
- How to version your DAGs
- How to create DAG dependencies efficiently
- How to trigger your DAGs on specific days
- Create Incredible Data Pipelines by truly understanding Airflow operators
Requirements
- Get used to Airflow, you ALREADY know the basics of Airflow
- Docker and Docker compose installed
Target audience
- Data engineers
- Data scientist
- Business Analysts
- Software Engineers
Apache Airflow on AWS EKS: The Hands-On Guide
$389.00 in stock
How to set up Apache Airflow on AWS EKS with the Kubernetes Executor and be production-ready!

Apache Airflow Expert, Big Data Engineer
What Will I Learn?
- How to Set Up a Production Ready Architecture for Airflow on AWS EKS From A-Z
- How to deploy DAGs from Git (public and private)
- How to Create CI/CD Pipelines with AWS CodePipeline Deploy DAGs
- How to Share DAGs and Store Logs with AWS EFS
- How to Enable Remote Logging with AWS S3 in EKS
- How to Test your DAGs in CI/CD pipelines
- How to Store Sensitive Data in AWS Secret Manager
Requirements
- A good knowledge of Apache Airflow
- A intermediate knowledge of AWS
- A intermediate knowledge of Docker and Kubernetes
- AWS SERVICES USED ARE NOT FREE TIER ELIGIBLE
Target audience
- Data engineers
- Software Engineers
- DevOps
Apache Airflow | A Real-Time & Hands-On Course on Airflow
$389.00 in stock
Learn A to Z of Apache Airflow from Basic to ADVANCE level, deploy workflows & data pipelines using Airflow with Docker

Online Instructors
What Will I Learn?
- Learn Full In & out of Apache Airflow with proper HANDS-ON examples from scratch.
- Start with the implementation of Airflow core nomenclature - DAG, Operators, Tasks, Executors, Cfg file, UI views etc.
- ADVANCE Airflow concepts, the explanation to which is not very clear even in Airflow's Official Documentation.
- XComs, Hooks, Pools, SubDAGs, Variables, Connections, Plugins, Adhoc queries, Branching, Sensors and many more....
- Exclusive features - Data Profiling, Charts, Trigger rules, airflowignore file, Zombies, Undeads, LatestOnly operator.
- Create data pipeline of Real-Time case studies using Apache Airflow.
- Codes and Data-sets are available in resources tab. This will save your typing efforts.
- Learn Best practices / Do's & Don'ts to follow in Real-Time Airflow Projects.
Requirements
- A very basic knowledge of Python will be an add-on.
- Rest everything on Airflow is covered in this course with line to line explanations.
Target audience
- Data engineers who want to deploy their pipelines using Airflow in their company's projects.
- Engineers who want to switch their career from conventional schedulers (Oozie, Luigi etc)
- Experienced techies who want to add a hot & demanding technology in their resume.
Apache Airflow: Complete Hands-On Beginner to Advanced Class
$389.00 in stock
Learn Apache Airflow step-by-step. Real-Life Data Pipelines & Quizzes Included. Learn by Doing!

Google Cloud Certified Data Engineer & Architect
What Will I Learn?
- Core and Advanced Concepts in Airflow through Real-World Examples
- Architecture Components of Apache Airflow
- How to Set Up Connections to External Resources
- How to Load and Analyse Data in a Data Warehouse using Airflow
- How to Schedule PySpark jobs using Apache Airflow
- How to Extend Airflow with Custom Operators and Sensors
- How to Test Airflow DAGs and Operators
- How to Deploy Airflow Instances with Different Executors
- How to Set Up Error Tracking and Monitoring
Requirements
- Intermediate Python programming knowledge
- Beginner SQL knowledge
- Beginner Docker knowledge
- Having Git, Docker and Conda (or other Virtual Environment Manager) installed on your machine
Target audience
- Data Engineers
- Data Scientists
- Python Developers Interested in Data Engineering
- Data Analysts with Python Programming Knowledge
Apache Airflow using Google Cloud Composer: Introduction
$389.00 in stock
With Google Cloud composer learn Apache Airflow without making any local install. Ensures focus is on Airflow topics.

Founder and CEO - Capstone Solutions, Trainer
What Will I Learn?
- Understand automation of Task workflows through Airflow
- Airflow Architecture - On Premise (local install), Cloud, single node, multiple node
- How to use connection functionality to connect to different systems to automate data pipelines
- What is Google cloud Big query and briefly how it can be used in Dataware housing as well as in Airflow DAG
- Master core functionalities such as DAGs, Operators, Tasks through hands on demonstrations
- Understand advanced functionalities like XCOM, Branching, Subdags through hands on demonstrations
- Get an overview understanding on SLAs, Kubernetes executor functionality in Apache Airflow
- The source files of Python DAG programs (9 .py files) used in demonstration are available for download towards practice for students
Requirements
- Google Cloud Platform Account OR even Free Trial account - NO Install required
- Good understanding on Python code and some exposure to bash shell scripting will help.
Target audience
- People interested in Data warehousing, Big data, Data engineering
- People interested in Automated tools for task workflow scheduling
- Student interested to know about Airflow
- Professional to wish to explore as how Apache Airflow can be used in Task scheduling and building Data pipelines
Mastering Apache Airflow! Deploy to Kubernetes in AWS
$389.00 in stock
Learn to programmatically author, schedule and monitor workflows with Apache Airflow. Deploy to Kubernetes in AWS.

Big Data Engineer
What Will I Learn?
- Advanced tips for production
- Create your first pipeline
- Create ETL pipeline using Pandas
- Build Docker image for Apache Airflow
- Create helm chart for Apache Airflow
- Deploy Airflow to Kubernetes in AWS
- Basic Airflow components - DAG, Plugin, Operator, Sensor, Hook, Xcom, Variable and Connection
- Advance in branching, metrics, performance and log monitoring
- Run development environment with one command through Docker Compose
- Run development environment with one command through Helm and Kubernetes
- The difference between Sequential, Local, Celery and Kubernetes Executors
- Understand Apache Airflow's configuration properties
- Investigate Apache Airflow's REST Api
- Explore Apache Airflow's web interface
Requirements
- Internet connection
- Computer with either MacOS or Linux
- Basic Python knowledge
- A desire to learn
Target audience
- Software Engineers curious about Apache Airflow
- Software Engineers looking to automate repetitive tasks
- Data Engineers looking to improve their Data Platforms
Practical Apache Airflow
$389.00 in stock
Develop Data Pipelining & Workflow. Build, schedule and monitor Data Pipelines using Apache Airflow in Python

Learn by Doing. Practical Approach to Solve Common Problems
What Will I Learn?
- Airflow, Developing Data Pipeline, Python, Pandas
- Hands on data pipeline development and comparison with other technology
- Installation, Configuration of Airflow
- DAG's, Creating workflow, Operators, Tasks, dependency management, Hooks, Connections
- Different Executors like Local, Celery and Sequential and differences
- Airflow Architecture in detail
- Advanced concepts like Xcoms, Branching, Variables and DAG Chaining
- Authentication and Log storage to S3
- Airflow on Docker
Requirements
- Beginner Python experience will be helpful
Target audience
- Students who want to learn developing data pipeline
- Students and Professional wanting to learn Airflow
- Professional looking to implement Airflow for their team and organization
Apache Airflow 2.0 : Complete Distributed Configuration
$389.00 in stock
Setup HA Airflow using multiple Schedulers and Celery Workers

Senior Data Engineer at Delivery Hero
What Will I Learn?
- Gain complete understanding of the apache airflow
- Learn different types of Executors and it's working principles
- Own a scalable distributed airflow setup which could be shared by multi teams in your organisation
Requirements
- Python >= 2.7
Target audience
- Curious on Big Data Technologies
Price Statistics
- All prices mentioned above are in United States dollar.
- This product is available at Udemy.
- At udemy.com you can purchase Apache Airflow: The Hands-On Guide for only $389.00
- The lowest price of Apache Airflow: The Hands-On Guide was obtained on May 21, 2023 5:19 pm.