Master Apache Airflow DAGs, custom operators, schedulers, execution executors, pipeline monitoring, and deployment on Kubernetes.
A comprehensive, real-world curriculum designed to take you from basics to expert level workflows.
Write data pipeline pipelines as Directed Acyclic Graphs (DAGs) in Python code.
Master BashOperator, PythonOperator, EmailOperator, and custom hooks.
Define complex upstream and downstream flows with branching operators.
Understand Schedulers, Web Servers, Workers, and Celery / Kubernetes executors.
Manage execution dates, task parameters, macros, and connection vaults safely.
Configure real-time pipeline failure alerts to Slack, email, or webhook hooks.
We provide a reliable, highly interactive, and career-focused learning ecosystem.
Learn from consultants working in top tech companies who handle real challenges daily.
We focus heavily on live labs, sandbox tasks, and real MNC projects instead of slide presentations.
Get complete resume reviews, profile branding, and mock interviews with active hiring partners.
Get 1-on-1 backend technical support even after you land a job, helping you complete office tasks easily.
A simple, step-by-step career path designed to secure your target tech role quickly.
Book a free 30-minute alignment session to review your goals and meet your trainer.
Attend interactive live sessions and complete real-time labs on a staging sandbox.
Fine-tune your resume layout and prepare with technical mock interviews.
Attend client interviews with placement support and secure your IT career.
Everything you need to know about our Apache Airflow In Production training program.
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