Modern Airflow: Real-World Skills
Data Science & AI › Data Engineering

Modern Airflow: Real-World Skills

Master Airflow with hands-on projects and real-world examples

By Swati Rao ★ 0.0 (0 ratings) Intermediate English 0 learners

What you'll learn

  • Understand the core concepts of Airflow and how they fit together
  • Build hands-on projects using Airflow that you can add to your portfolio
  • Apply Airflow to solve real, practical problems in Data Science & AI
  • Follow industry best practices and avoid common Airflow mistakes
  • Gain the confidence to use Airflow at work and in interviews

Skills you'll gain

Airflow Practical Projects Debugging Best Practices Problem Solving Data Engineering

About this course

Airflow is one of the most useful skills in Data Science & AI today, and this course makes it approachable and practical. Through guided projects in Data Engineering, you'll build real understanding rather than memorising steps. Created by Swati Rao, the course pairs clear explanations with hands-on practice so the ideas stick. You'll come away able to apply Airflow to your own work and on job-relevant, Hyrespot-matched roles.

Curriculum

Getting Started

  • Welcome and what you'll build video · 16:00 ▶ Free preview
  • Airflow in 10 minutes video · 17:00 ▶ Free preview
  • Your first Airflow walkthrough video · 06:00
  • Hands-on exercise video · 07:00

Core Concepts

  • Common patterns in practice video · 11:00
  • Building the project — part 1 video · 12:00
  • Debugging and troubleshooting video · 13:00
  • Performance and optimisation video · 14:00
  • Testing your work video · 15:00

Hands-On Practice

  • Performance and optimisation video · 06:00
  • Testing your work video · 07:00
  • Welcome and what you'll build video · 08:00

Building Real Projects

  • Welcome and what you'll build video · 13:00
  • Airflow in 10 minutes video · 14:00
  • Your first Airflow walkthrough video · 15:00
  • Hands-on exercise video · 16:00

Going Deeper

  • Common patterns in practice video · 08:00
  • Building the project — part 1 video · 09:00
  • Debugging and troubleshooting video · 10:00
  • Performance and optimisation video · 11:00
  • Testing your work video · 12:00