Name: ChatGPT for Data Engineers
Availability: InStock

What You'll Learn

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, and Kubernetes.
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 integrating ChatGPT with APIs.
Complete a capstone project where you design, document, and implement a data pipeline in Apache Spark and Zeppelin with ChatGPT assistance.

Requirements

Basic knowledge of Data Engineering concepts – familiarity with data pipelines, ETL workflows, or big data tools will be helpful.
Working knowledge of SQL – you should know how to write basic queries (SELECT, JOIN, GROUP BY).
Fundamentals of Python programming – ability to read and write simple scripts; advanced knowledge is not required.
Familiarity with Big Data tools like Apache Spark, Airflow, Kafka, Docker, or Kubernetes is a plus, but not mandatory (the course will guide you on how ChatGPT integrates with them).
Curiosity to learn Generative AI – no prior AI/ML experience is needed; everything about ChatGPT and prompt engineering is explained from scratch.
Access to ChatGPT (Free or Plus version) – recommended for hands-on practice during the course.

Data Engineers looking to enhance productivity and automate repetitive tasks.
Aspiring Data Professionals (SQL developers, Python programmers, BI engineers) who want to stay ahead in the AI-driven data world.
Software Engineers & DevOps Engineers working with data workflows and automation.
Technical Managers & Team Leads interested in exploring how AI can accelerate data projects.

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136,167 Students

22 Courses

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