AirFlow Online Training

This is India’s most comprehensive Apache Airflow Data Engineering
Training covering DAGs, Operators, Executors, AWS, Azure, GCP,
Spark, Snowflake, dbt and production deployment — everything you
need to orchestrate real-world data pipelines like a senior
Data Engineer.

You will build real end-to-end pipelines on actual cloud platforms
with hands-on labs and industry patterns used at Airbnb, Uber,
Swiggy, Razorpay and top MNCs worldwide.

What You Will Learn

✅ Master Airflow architecture — scheduler, executor, webserver
✅ Write DAGs — scheduling, dependencies, trigger rules
✅ Master all Airflow operators — Python, Bash, SQL, Sensors
✅ Use Taskflow API — modern @task decorator style
✅ Integrate Airflow with AWS — S3, EMR, Glue, Redshift, Lambda
✅ Integrate Airflow with Azure — ADF, Databricks, Synapse, ADLS
✅ Integrate Airflow with GCP — BigQuery, Dataproc, Dataflow, GCS
✅ Orchestrate Spark jobs — YARN, EMR, Dataproc, Databricks
✅ Orchestrate Snowflake pipelines — ELT, MERGE, data quality
✅ Orchestrate dbt with Cosmos, dbt Cloud & BashOperator
✅ Build dynamic DAGs & dynamic task mapping
✅ Master Dataset-driven event-based scheduling
✅ Deploy Airflow on Kubernetes, MWAA, Cloud Composer & Astronomer
✅ Set up CI/CD for DAG deployment with GitHub Actions
✅ Monitor pipelines — Grafana, Slack alerts, SLA tracking
✅ Secure Airflow — RBAC, OAuth, Secrets Backend, Key Vault

Course Modules at a Glance

Module 1 — Workflow Orchestration & Airflow Fundamentals
Module 2 — Airflow Installation & Setup
Module 3 — DAGs — Directed Acyclic Graphs
Module 4 — Airflow Operators Complete Guide
Module 5 — XComs & Task Communication
Module 6 — Airflow Executors
Module 7 — Airflow Templates & Jinja
Module 8 — Airflow AWS Integration
Module 9 — Airflow Azure Integration
Module 10 — Airflow GCP Integration
Module 11 — Airflow Spark Integration
Module 12 — Airflow Snowflake Integration
Module 13 — Airflow dbt Integration
Module 14 — Database & Warehouse Operators
Module 15 — Advanced DAG Patterns
Module 16 — Airflow Production Deployment
Module 17 — Airflow Security & Governance
Module 18 — Airflow Monitoring & Alerting
Module 19 — Airflow CI/CD & Best Practices
Module 20 — End-to-End Projects (5 Projects)

Who Is This Course For

👨‍💻 Data Engineers wanting to master pipeline orchestration
🔧 Spark & Hadoop engineers adding Airflow to their stack
❄️ Snowflake & dbt engineers needing production scheduling
☁️ Cloud engineers — AWS, Azure, GCP data pipeline teams
🔄 ETL developers upgrading to modern orchestration
🎓 Graduates targeting Data Engineer roles at top companies
🏆 Professionals preparing for Airflow certification

Prerequisites

– Basic Python — functions, loops, classes
– Basic SQL — SELECT, JOIN, GROUP BY
– Basic understanding of data pipelines — helpful
– No prior Airflow experience needed — start from scratch
– Laptop with internet — Docker setup provided

Course Highlights

🕐 75+ Hours of live instructor-led training
🛠️ 55+ Hands-On Labs on real cloud platforms
📁 5 End-to-End Projects for your portfolio
📝 21 Modules — fundamentals to production level
☁️ All 3 clouds — AWS, Azure, GCP operators covered
⚡ Spark orchestration — YARN, EMR, Dataproc, Databricks
❄️ Snowflake + dbt full integration covered
🚀 Production deployment — K8s, MWAA, Composer, Astronomer
🔄 Dynamic DAGs & Dynamic Task Mapping — advanced patterns
📊 Dataset-driven scheduling — event-based pipelines
🔒 Security — RBAC, OAuth, Secrets Backend
🏆 Airflow certification exam preparation
🎥 Lifetime Access to all recorded sessions
💬 WhatsApp Support + weekly doubt clearing
📄 Resume Review + mock interviews
🤝 Placement Support — 200+ hiring partners

Technologies & Tools Covered

🎼 Apache Airflow 3.x — Latest Version
☁️ AWS — S3, EMR, Glue, Redshift, Lambda, Athena
🔷 Azure — ADF, Databricks, Synapse, ADLS, Blob
🌐 GCP — BigQuery, Dataproc, Dataflow, GCS, Pub/Sub
⚡ Apache Spark — YARN, EMR, Dataproc, Databricks
❄️ Snowflake — ELT, MERGE, Data Quality
🔧 dbt — Cosmos, dbt Cloud, BashOperator
🐳 Docker & Kubernetes — Airflow Deployment
🚀 AWS MWAA — Amazon Managed Airflow
🌏 GCP Cloud Composer — Managed Airflow on GCP
🛸 Astronomer — Enterprise Airflow Platform
📊 Grafana & Prometheus — Metrics & Dashboards
🔔 Slack & PagerDuty — Alerting
🔐 HashiCorp Vault & AWS Secrets Manager
🚦 GitHub Actions — CI/CD for DAGs
🧪 pytest — DAG Testing Framework

5 End-to-End Projects

Project 1 — Multi-Cloud AWS Pipeline
S3 → EMR Spark → Snowflake → dbt →
Data Quality → Slack Alert + GitHub Actions CI/CD

Project 2 — Azure Data Engineering Pipeline
Azure SQL → ADF → Databricks → Synapse →
Email Alert + Daily Schedule

Project 3 — GCP Data Engineering Pipeline
Cloud SQL → GCS → Dataproc Spark → BigQuery →
Pub/Sub Alert + Cloud Composer

Project 4 — Snowflake + dbt Orchestration
Fivetran → Snowflake → Cosmos dbt DAG →
SCD Type 2 → Data Quality Gate → Slack Alert

Project 5 — Spark + Snowflake Production Pipeline
Kafka → S3 → SparkSubmit → Snowflake →
SLA Monitoring + Kubernetes Deployment

Why Learn From Us

🏅 India’s #1 rated Apache Airflow training
👨‍🏫 Trainer with 10+ years Airflow production experience
☁️ Only institute covering AWS + Azure + GCP + Spark + Snowflake + dbt
🏢 5000+ students trained — 95% placement rate
📚 Updated with latest Airflow 2.x features quarterly
🆓 Free demo class available
💰 Affordable fees with EMI options