IEEE Responsible Procurement of AI Training

The Mark of AI Ethics
Product Type

Self-learning

Theme

AI, Data and Governance

Duration

4-5 hours

Entity

Please provide, if available

Cost

Regular fee: €420
(currently discounted to €385 until December 31, 2025)*

The IEEE Responsible Procurement of AI (RP-AI) Training is based on the IEEE 3119™ global standard, designed to help organizations purchase AI systems responsibly and reduce risk throughout the procurement lifecycle. This self-paced, 4 to 5 hour interactive course, equips procurement and business teams with practical tools to evaluate vendors, manage compliance for AI solutions to be built safe, explainable, and trustworthy.

The training includes 26 actionable tools, mainly addressing risk appetite analysis, vendor scoring rubrics, and AI procurement risk registers, along withtemplates, evaluation frameworks, and a copy of the IEEE 3119™ standard for hands-on application.

With the EU AI Act and growing demand for ethical, human-centric AI, RP-AI helps organizations and universities adopt responsible AI practices cost-effectively. The training aligns with global frameworks such as ISO 42001, NIST AI RMF, and IEEE’s Ethically Aligned Design principles, supporting compliance readiness and building trust in procurement decisions.

Have questions? Visit the course portal FAQ tab for answers and enrollment details.

Learn More about IEEE Responsible Procurement of AI Training
  • Who is it for?
    • Procurement teams
    • Chief Procurement Officers
    • Legal & compliance leaders
    • Universities and research centers
  • What are the benefits?
    • Modernize procurement practices with structured, standards-based approaches
    • Gain a clear understanding of responsible AI procurement principles
    • Strengthen existing procurement processes using AI risk mitigation strategies for safer deployments
    • Reduce risk and ensure compliance with global standards
      Build trust with stakeholders and regulators
    • Improve overall risk management and regulatory readiness

Certificate Acquisition Process

Icon: Application

Step 1

Enroll through our course portal, IEEE BLP, and gain access upon payment of the course fee.

Icon: Pass Course

Step 2

Complete the self-paced course (you can learn in multiple sittings during the course period) and take the final assessment to demonstrate your knowledge of responsible AI procurement process.

Icon: Certification

Step 3

Receive your credential: Upon successful completion, candidates earn a blockchain-verifiable digital badge.

Certification & Qualification Details

Pricing

€430 retail pricing (10% discount until December 31, 2025)
EUR amounts are indicative conversions from USD. For the most accurate and up-to-date pricing, please refer to the USD price listed on IEEE SA.

Language

English

Certificate

Upon completion of the course, participants take a final assessment to demonstrate their mastery in responsible procurement of AI. Successful candidates receive a blockchain-verifiable digital badge, aligned with IEEE’s standards for digital credentialing.

Pre-requisites

Product team to provide info

Procure AI Responsibly. Reduce Risk. Build Trust

Register your interest on the IEEE SA website.

Register Now

Testimonials

“I learned so much about the specific issues surrounding AI procurement in this course. The application of the IEEE standard (3119) offers many practical means to mitigate risks through a structured process and this course provides in-depth training on the application of the standard. I’m taking away valuable skills that will be very helpful in my work on Responsible AI.”

Katrina Ingram - Founder and CEO, Ethically Aligned AI

This course provided an insightful entry point into the complex world of AI governance and model risk management. While it served as more of a teaser into the space, it sparked my interest in diving much deeper into several core areas. I’m particularly eager to further explore the distinctions between explainable, interpretable, and understandable AI—especially how these concepts play out across different stakeholders and technical contexts. I also appreciated the way the course presented common AI clauses—from use case intent and data requirements to algorithmic controls and deployment supervision. It’s clear there’s much more to learn about breaking down AI documentation and evaluating vendor-specific governance language, and this experience gave me a strong foundation to build upon.

Sandeep Bhat - Digital Engagement Lead and Imaging Scientist, Global Clinical Operations, GSK
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