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Apache Airflow 3 - The Complete Bootcamp [With Projects] (Udemy.com)

[2026] Master Apache Airflow 3 and learn orchestrating Spark Job, AWS, Delta Lake, Lakehouse via ETL/ELT Data Pipelines

Created by: Ansh Lamba JSR

Last updated July 2026

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What you will learn

  • Understand Airflow Architecture and core components - DAG Processor, Metadata DB, Scheduler, Executor, Webserver, Workers, and how they interact
  • You'll also build 2 end-to-end projects including AWS S3, Spark, Databricks, AWS Glue, APIs, etc. to solidify your learning and gain strong hands-on
  • Build industry-grade DAGs using modern TaskFlow API for complex dependencies, branching & subDAGs
  • Learn XCOMs and kwargs for inter-task communication and passing data between tasks in the DAGs
  • Master Operators and Hooks to interact with external systems like databases, APIs & cloud service
  • Schedule DAGs with Cron, Delta Triggers, and Event-based triggers covering real-world use cases
  • Monitor & troubleshoot DAGs using the Airflow UI, logs, and metrics to ensure reliability
  • Create connections in Airflow to securely store credentials for external systems

How it compares

Against the other 848 rated Udemy courses in IT Certifications on CourseDuck:

  • Rating4.7 out of 5higher than 80% of them
  • Reviews103#695 of 849 by number of reviews
  • Length14 hourslonger than 71% of them
  • Last updatedJuly 2026more recently than 76% of them

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Course Description

This is a COMPLETE Apache Airflow 3 Bootcamp you need in 2026 to become a PRO Apache Airflow Developer.


Whether you're a beginner or a working professional looking to upskill, this course will guide step by step with a hands-on, practical, and engaging lectures (doodle illustrations).


GAIN STRONG HANDS-ON WITH:

  • Airflow Fundamentals & Architecture - Learn the fundamentals of Airflow and understand how DAG Processor, Metadata DB, Scheduler, Executor, Webserver, Workers work together to orchestrate data pipelines.

  • DAG Authoring - Master the modern TaskFlow API to build complex DAGs with dependencies, branching, and subDAGs for real-world data workflows. Learn XCOMs and kwargs for inter-task communication and passing data between tasks in the DAGs.

  • Operators & Hooks - Learn how to use built-in Operators and Hooks to interact with external systems like databases, APIs, and cloud services. Build custom connectors to integrate with any system.

  • Scheduling & Triggers - Schedule your DAGs using Cron, Delta Triggers, Event-based triggers, and specific time intervals to cover a wide range of real-world use cases.

  • Incremental Load & Backfilling - Implement incremental load strategies and backfill historical data to ensure your pipelines can handle both new and existing data effectively.

  • Monitoring & Troubleshooting - Use the Airflow UI, logs, and metrics to monitor your DAGs, identify issues, and troubleshoot errors to ensure reliable pipeline execution.

  • Security & Retries - Create connections in Airflow to securely store credentials for external systems. Implement error handling and retry mechanisms to ensure robust and fault-tolerant workflows.

  • Airflow Assets & Scaling - Develop Airflow Assets to build data aware pipelines and manage data dependencies effectively. Scale Airflow with multiple workers and queues to distribute workload and optimize performance.

  • End-to-End Projects - Additionally, build 2 real-world projects integrating AWS S3, Spark, Databricks, AWS Glue, APIs, and more to make your learning practical with real-world applications of Airflow.


WHAT MAKES THIS COURSE UNIQUE?

  • Super Engaging Lectures - No boring theory here! I explain every concept in a clear and beginner-friendly way using real-life examples and doodle visuals.

  • Deep Dive into Every Topic – I don’t just scratch the surface. You'll understand the “why” and “how” behind every feature.

  • Strong Hands-On Focus - You learn by doing. Each chapter includes so many practical labs to solidify your understanding and build real-world skills.


DISCLAIMER - This course is independently created and not affiliated with or endorsed by Airflow. All content is original, designed for educational purposes only. It is based on public documentation, real-world scenarios, and personal experience. All trademarks belong to their respective owners. For the most accurate and updated information, refer to the official Airflow documentation.

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Instructor Details

Ansh Lamba JSR

I’m an AI Data Engineering Industry Expert, specializing in modern cloud data engineering technologies and working with large-scale datasets across IT, Finance, Retail, and more. I’ve designed and developed real-world data engineering solutions that drive impact, and I hold multiple certifications in the data engineering domain.

Recognized as a Databricks MVP and featured on NYS Billboard for my contributions to data engineering learning, I combine hands-on expertise with a passion for teaching. As a Data Engineering Mentor, I’ve guided 200K+ students, and helped individuals break into the world of AI & Data Engineering.

Why should you trust this channel? Here are three key reasons:

Unique Teaching Style: My approach makes you feel like you're in a live class, keeping you engaged and aligned with every lesson.

Learn-By-Doing: I focus on practical sessions that complement the theoretical concepts, ensuring you gain hands-on experience.

Deep Knowledge: I don’t just skim the surface. I go deep into the subject matter, preparing you for both certifications and real-world challenges.

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Reviews

4.7

103 ratings on Udemy

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By Kancharla Karunakara Rao on 9/25/2026

Very good course for airflow, explained everything very well.

By Rampavan Musale on 9/7/2026

This project helped to learn concepts. As i am from AWS background The project section is very helpful to me. Thank you ansh lambha

By Sunday Okechukwu on 8/19/2026

I am very impressed with the quality of this course! The instructor put in so much effort in making this course. It's perhaps the most detailed course you could ever find on Apache Airflow. The course also teaches important concepts such as docker, best practices etc. New concepts are expertly introduced, developed and explained very well from scratch. I have learned a lot in this course and I am still half-way through. I look forward to completing the remaining lessons. Keep it up!

By Tushar Kute on 8/18/2026

Really very good course and amazing style of teaching

By Jaydeep Khatri on 7/18/2026

I honestly loved this course. The explanations were super clear, and the practical approach made everything click. Keep up the amazing work, Ansh!

By Pooja A on 6/18/2026

Thank you, Ansh, for creating such a well-organized and insightful course. I would highly recommend it to anyone looking to build strong foundations in Apache Airflow and workflow orchestration.

By Ananda Harihara Shivamurthy on 6/14/2026

So far . Clear explanation on concepts. Following Ansh on YouTube. Now going through this course. Excited !

By Asish Kumar Nayak on 6/10/2026

Amazing lessons on Airflow with Hands-On practice. Looking forward to the project.

By Pham Minh Quang on 5/27/2026

I purchased this course not only to learn but also to support Lamba's hard work and dedication to the Data Engineering community. Very easy to understand. Thank you, Lamba, for sharing your knowledge and helping so many professionals grow in their careers. I'm glad I found your youtube channel and would highly recommend it to anyone interested in Data Engineering.

By Thet Win Aung on 5/26/2026

Now, I'm learning.

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Overall Score : 94 / 100