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Free AI Data Engineering Bootcamp (USA Only)

Event artwork for Free AI Data Engineering Bootcamp (USA Only)

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About this event

What to expect

Build job-relevant AI data engineering skills in this free, beginner-friendly 10-day live online bootcamp for learners currently residing in the United States.

Starting 21 September 2026, Coding Macaw Bootcamp’s programme combines instructor-led training with hands-on projects, technical practice and career support. It is designed around the tools and concepts used to collect, transform, process and store data in modern cloud and AI-powered environments.

What the bootcamp covers

The curriculum moves from core foundations to modern data platforms and automated workflows, including:

  • SQL: joins, aggregations, window functions, analytics queries and data transformation
  • Python: fundamentals, Pandas, data cleaning, processing and automation
  • Data pipelines: ETL and ELT, batch pipelines, ingestion, transformation and workflow orchestration
  • Big data: Apache Spark, PySpark, distributed processing and an introduction to Apache Kafka
  • Modern data stack: dbt, Apache Airflow, Snowflake, Databricks, Delta Lake and Apache Iceberg
  • Cloud data engineering: AWS fundamentals, Microsoft Azure concepts, Google Cloud concepts, cloud pipelines and data warehousing
  • AI workflows: AI-assisted coding, debugging, pipeline development, automation and improved transformation workflows

Format and learner outcomes

This is a 100% live online, 10-day training programme with morning and evening EST batches. The listed sessions are 10:30am–12:30pm and 8:30pm–10:30pm EST. Alongside live teaching, attendees can expect hands-on data engineering projects, SQL and Python practice, coding assessments and exposure to real-world pipeline concepts.

The programme also includes a data engineering career roadmap, résumé optimisation, LinkedIn profile guidance, mock interviews, job guidance and a certificate of completion. These elements are intended to help learners prepare for junior data engineering, analytics engineering, ETL, cloud data and AI data engineering opportunities.

Who should attend?…

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