Master Data Engineering with Apache Airflow
Design, schedule and monitor reliable data pipelines with Apache Airflow, and learn the core data engineering practices behind modern ELT workflows.
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Program Overview
Data Engineering with Apache Airflow is an advanced-level live online course running 8 weeks (54 hrs), priced at $800 USD, taught by instructors in evening and weekend cohorts for learners in the US and Canada, with a certificate of completion.
Design, schedule and monitor reliable data pipelines with Apache Airflow, and learn the core data engineering practices behind modern ELT workflows. What you will build: a daily ETL DAG, an API-ingestion pipeline and a data-quality monitoring workflow. Tools and technologies: Apache Airflow, Python, SQL, Docker, PostgreSQL, dbt (intro), Git. Format: 54 hours of live, instructor-led online training over about 8 weeks, in evening and weekend cohorts for learners in the US and Canada, with hands-on labs, recorded sessions and mentor support. Career pathways: Data Engineer, Analytics Engineer, ETL Developer, Data Platform Engineer. Resume review and interview guidance are available to all learners.
Course Highlights
- 54 hours of live instructor-led training
- Hands-on projects and real-world labs
- Tools: Apache Airflow, Python, SQL
- Certificate of completion
- Career guidance for US & Canada job market
- Recorded sessions and mentor support
Minimum Requirements
- Python and SQL
- Laptop or desktop with stable internet
Who is this for ?
- Analysts moving into data engineering
- Python developers building pipelines
- ETL developers modernising workflows
Curriculum
Course Curriculum
5 modules · 24 topics0 hours total
- 1ETL vs ELT
- 2warehouses and lakes
- 3pipeline design principles
Industry-Recognized
Certification
Upon successful completion, you receive a certificate of completion for the Data Engineering with Apache Airflow program that you can share with employers and add to your LinkedIn profile — a record of the hands-on skills and projects you completed.
- Verifiable ID: Unique credential link for LinkedIn.
- Skill Validation: Proof of hands-on project completion.
- Corporate Branding: CO-branded with your company logo.
Student Reviews
Why learn this online
Data analytics is one of the most accessible entry points into a tech career because the core tools — SQL, spreadsheets, and BI platforms like Power BI or Tableau — are learnable in months and do not require heavy programming. Learning online in a live cohort keeps you accountable while you build a portfolio of dashboards and analyses that prove your ability to turn data into decisions.
Who this is for
- ✓Business and operations professionals
- ✓Non-coders wanting a data career
- ✓Career switchers who want a faster on-ramp
Career outcomes
- Data Analyst
- Business Intelligence Analyst
- Analytics Engineer
- Reporting Analyst
Frequently asked questions
How much does the Data Engineering with Apache Airflow course cost?
The Data Engineering with Apache Airflow course costs $800 (USD) for 8 Weeks (54 hrs) of live, instructor-led online training. The fee covers live classes, recorded sessions, hands-on projects, mentor support and the certificate of completion.
What projects will I build in Data Engineering with Apache Airflow?
You will build a daily ETL DAG, an API-ingestion pipeline and a data-quality monitoring workflow.
Which tools and technologies does Data Engineering with Apache Airflow cover?
Data Engineering with Apache Airflow covers Apache Airflow, Python, SQL, Docker, PostgreSQL, dbt (intro), Git.
Is the Data Engineering with Apache Airflow course online or in person?
The Data Engineering with Apache Airflow program is delivered live and online with instructor-led sessions, so you can join from anywhere in the US, Canada, or beyond. Sessions are interactive and recordings are available for review.
How long is the Data Engineering with Apache Airflow course?
The Data Engineering with Apache Airflow program runs for 8 Weeks (54 hrs). Cohorts are scheduled in the evenings and on weekends to fit around a full-time job.
What level is the Data Engineering with Apache Airflow course — is it suitable for beginners?
The Data Engineering with Apache Airflow program is pitched at a advanced level. Some prior familiarity helps, and the curriculum builds toward job-ready skills.
Do I get a certificate after completing Data Engineering with Apache Airflow?
Yes — you receive a verifiable certificate of completion for the Data Engineering with Apache Airflow program, which you can share with employers and add to your LinkedIn profile.
Does the Data Engineering with Apache Airflow course include placement or career support?
Yes. MITS Edge programs include career support — resume reviews, mock interviews, and job-search guidance aligned to the US and Canadian hiring markets.
Do I need any prior experience to join Data Engineering with Apache Airflow?
Recommended prerequisites: Python and SQL; Laptop or desktop with stable internet.
Do I need to code to work in data analytics?
Not heavily. The essentials are SQL, spreadsheets, and a BI tool. Light Python helps for larger datasets but is not required to get started or hired.
How is data analytics different from data science?
Analytics focuses on interpreting existing data to answer business questions, while data science builds predictive models. Analytics is a common, lower-barrier first step toward data science.
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