Master the Leading Data Product Specification with GPT tool
Published 7/2025
Duration: 1h 44m | .MP4 1920x1080 30 fps(r) | AAC, 44100 Hz, 2ch | 1.14 GB
Genre: eLearning | Language: English
Published 7/2025
Duration: 1h 44m | .MP4 1920x1080 30 fps(r) | AAC, 44100 Hz, 2ch | 1.14 GB
Genre: eLearning | Language: English
Create your first machine-readable data product using ODPS 4.0 and a custom GPT assistant — from structure to real YAML.
What you'll learn
- Understand the business value behind data products and ODPS
- Platform teams Learn the 9 core objects of the Open Data Product Specification (ODPS 4.0)designing catalogs or data APIs
- Build your first complete, machine-readable ODPS YAML file
- Interact with a custom GPT that understands ODPS to speed up your learning
- See how real-world organizations like NATO, BASF, and FIWARE use ODPS
Requirements
- No coding required
- Basic familiarity with data or product thinking is helpful, but not mandatory
Description
Unlock the power of standardized, machine-readable data products
This free course introduces you to theOpen Data Product Specification(ODPS 4.0) — a modern, YAML-based metadata standard for describing, sharing, governing, and monetizing data products. ODPS is adopted already by several industry leaders like NATO, BASF, FIWARE, and Alation.
ODPS is designed for the real-world needs of platforms, ecosystems, and public-sector initiatives, ODPS enables true interoperability across technical, business, legal, and ethical dimensions.
Whether you're working with open government data, internal data marketplaces, smart city platforms, or AI-native services, this course gives you the foundation to start using ODPS effectively.
You’ll explore thenine core objectsof ODPS — including product details, pricing plans, access methods, data quality, SLA, and more — one by one. Each object is explained through:
Concise slide walkthroughs
Live YAML building with a custom GPTtrained to understand ODPS 4.0
By the end, you’ll have created yourown full ODPS YAML file, ready to adapt or publish. You’ll also gain insight into the most common adoption patterns, including as-is usage, OpenAPI integration, AI extensions, and Data Mesh ports.
This course is taught by thecreator and maintainer of ODPS, ensuring you learn directly from the source.
Perfect for:
Data product owners and managers
Platform architects and engineers
Open data and smart city leaders
AI developers and metadata professionals
Get started now — and take your first step into the future of data product standardization.
Created by themaintainer of the ODPS specification, this course is not just theoretical — it’s practical, hands-on, and future-ready.
Who this course is for:
- Data professionals curious about data productization
- Platform teams designing catalogs or data APIs
- Product managers and strategists in open data or AI-readiness initiatives
- Anyone looking to monetize, share, or govern data through modern standards
More Info