Purchasing hasn't changed, but the products have.
Our AI Procurement Certifications Are Career Builders.
AI solutions are scaling at unfathomable rates with new opportunities...and new risks. Harnessing the innovative potential of AI requires refined judgement to balance requirements and risks appropriately. Maintaining a professional competitive advantage means acquiring new skills to identify, assess, evaluate, monitor, and manage an ever-expanding landscape of AI opportunities, vendors, solutions, and risks.
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AIPL's certifications deliver these skills...and then some.
Professional Certification Levels
FOUR certification levels each focused on a unique type of commercially available AI.
Level 1:
General Purpose AI Procurement Certification
The Level 1 Certification focuses on "General Purpose AI Platforms" with fixed functionality and standardized licensing terms. These include user-friendly solutions like ChatGPT, Claude, Otter.ai, and Canva that work immediately upon sign-up. Individual users gain productivity benefits through pre-defined capabilities for tasks like writing, image generation, and document summarization. Governance efforts focus on clearly understanding vendors' pre-defined terms and ensuring appropriate use within organizational boundaries.
Level 3:
AI Agent Orchestration Procurement Certification
The Level 3 Certification focuses on robust low-code/no-code AI agent "Orchestration Platforms" enabling organizations to build automated workflows and AI agents across multiple integrated systems and applications. Solutions like Gumloop, Zapier, and n8n provide pre-established connections to web-based and enterprise tools, allowing cross-application automation without deep technical expertise. Governance efforts address complex multi-system security, agent performance metrics, and increasingly complex terms and conditions around data handling and pricing models.
Level 2:
Focused Domain Procurement Certification
The Level 2 Certification focuses on "Focused Domain Platforms" with embedded AI Capabilities. These solutions such as Salesforce, Workday, Zoom, and Zendesk use your proprietary data powered by rule-based and AI-assisted functionality and workflows to deliver contextually relevant outcomes, insights, forecasts, and automation. Governance efforts emphasize data privacy, security protocols, and managing minimally negotiable licensing terms while maximizing business-specific intelligence.
Level 4:
Build-to-Suit
Procurement Certification
The Level 4 Certification focuses on bespoke "Build-to-Suit" AI solutions that organization commission and co-create with specialized partners, featuring complex custom integrations, multi-agent orchestration, or physical / embodied AI systems. These implementations require extensive development, detailed specifications, and ongoing maintenance agreements. Governance efforts involve comprehensive contract negotiation, performance metrics, acceptance criteria, and continuous oversight of highly customized deployments.
The curriculum content is carefully scaffolded to build learner knowledge from basic to complex concepts using well developed definitions, explanations, visuals, scenarios, tip sheets, resources, and more. Each certification provides foundational learning that is necessary to master prior to embarking on the next certification. Certifications must be achieved in sequence. "Skipping" a certification in order to get to a higher level certification is not permitted.
Course Content
The curriculum for each certification course mirrors the traditional technology acquisition lifecycle.
Buying AI doesn't changed the steps in the procurement lifecycle that you are already well familiar with. However, AI products introduce a new risk layer that must be addressed. Each certification course provides clear and practical information, approaches, and techniques to help you address the risks and buy trustworthy AI products that meet your organization's responsible AI standards.
Planning your AI acquisitions requires a close look at the problem you're trying to solve. The AIPL certifications explain how quantitative data gathering and analysis during this step should be used in an early analysis relative to potential AI behaviors, expected output, and potential outcomes. You'll also learn critical details about AI impact assessments for legal and internal governance purposes.
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Each type of AI we seek requires a different level of investigation intensity for these common planning steps:
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Root Cause Analysis
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Needs Analysis
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Data Assessments
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Market Research
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Impact Assessments
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Risk Profiling