1. Apache Airflow Data Engineering Training Certification info@multisoftvirtualacademy.comwww.multisoftvirtualacademy.com (+91) 8130-666-206

2. About Multisoft Take your skills to next level with Multisoft Virtual Academy, one of the leading certification training providers in the market. Collaborating with top technology companies, we offer world-class one-on-one and corporate trainings to empower professionals and businesses around the world. Delivering high-quality trainings through Multisoft’s global subject matter experts, we offer more than 1500 courses in various domains. Multisoft offers tailored corporate training; project Based Training, comprehensive learning solution with lifetime e-learning access, after training support and globally recognized training certificates. About Course The Apache Airflow Data Engineering Training by Multisoft Virtual Academy is a meticulously crafted course designed for aspirants aiming to master workflow orchestration. This immersive training introduces participants to the core concepts of Apache Airflow, emphasizing DAG creation, operator utilization, task templates, and advanced features. info@multisoftvirtualacademy.comwww.multisoftvirtualacademy.com (+91) 8130-666-206

3. Module 1: Introduction to Apache Airflow What is Apache Airflow? Airflow vs. other workflow management systems Key concepts: DAG, operators, tasks, etc. Module 2: Airflow Installation & Setup Prerequisites & installation steps Setting up the Airflow metadata database Running the Airflow web server and scheduler Module 3: Understanding DAGs (Directed Acyclic Graphs) Basics of DAGs Creating simple DAGs Best practices in DAG design Module 4: Working with Operators Basic, transfer, and database operators Using PythonOperator and BashOperator Custom operators: creation and use Module 5: Advanced Task Features Task dependencies and relationships Dynamic task generation Retries and failure handling info@multisoftvirtualacademy.comwww.multisoftvirtualacademy.com (+91) 8130-666-206

4. Module 6: Task Templates & Jinja Templating Templated commands Using macros in Airflow Passing variables to templates Module 7: Monitoring & Logging The Airflow web interface: overview and features Task logs and metadata Troubleshooting failed tasks Module 8: Parallel and Distributed Execution Understanding Airflow executors: Sequential, Local, Celery, Kubernetes Scaling Airflow with distributed execution Monitoring worker nodes Module 9: Advanced Features & Plugins Creating custom plugins Extending Airflow's capabilities Integrating with external systems Module 10: Security & Authentication Configuring user authentication Role-based access Secure execution of DAGs info@multisoftvirtualacademy.comwww.multisoftvirtualacademy.com (+91) 8130-666-206

5. Module 11: Best Practices & Use Cases Design patterns in Airflow Tips for maintainable and scalable DAGs Real-world data engineering use cases Module 12: Moving Forward with Airflow Keeping up with the Airflow community Future trends and updates Transitioning to a production environment TARGET AUDIENCE Data Engineers Data Scientists Workflow Developers ETL Developers Big Data Professionals DevOps Engineers Data Analysts PRE-REQUISITES Basic understanding of programming (preferably Python). Familiarity with data processing concepts. Knowledge of database management systems. Basic understanding of SQL. Experience with command-line interfaces. Awareness of cloud platforms (like AWS, GCP, Azure) is advantageous but not mandatory. info@multisoftvirtualacademy.comwww.multisoftvirtualacademy.com (+91) 8130-666-206