Courses

ChatGPT for Data Engineers

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Practical Applications of ChatGPT for Modern Data Engineers

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Understand what ChatGPT and Generative AI are, and why they matter for data engineers

Master prompt engineering techniques to craft effective prompts, debug outputs, and build reusable templates

Use ChatGPT for data exploration, SQL optimization, and summarization of large datasets

Auto-generate and refactor Python scripts, ETL pipelines, and pseudo-code conversions

Integrate ChatGPT into your data engineering tools and workflows such as Apache Spark, Apache Airflow, Kafka, Docker,

Automate project documentation, README files, code comments, and even architecture diagrams

Leverage ChatGPT for DevOps tasks, including writing Bash scripts, analyzing log files, and tuning performance

Recognize the ethical risks, limitations, and data security challenges when using AI in production systems

Work on real-world projects like automating data quality checks, generating reports, building ETL workflows, and

Complete a capstone project where you design, document, and implement a data pipeline in Apache Spark and Zeppelin with

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