contrailrisks GitHub avatar

open-ai-consulting-curriculum

contrailrisks

A free, community-maintained curriculum that teaches practical and responsible AI consulting through lectures, a fictional case study, exercises, templates, and vendor-neutral labs.

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5

7-day growth

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Forks

1

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License

MIT

Last updated

2026-07-31

AI repository intelligence
FR-AI / ANALYSIS

Why it is worth attention

It focuses on building demonstrated competence through practical work and peer review rather than certification, and it consistently grounds AI consulting in business problems, governance, evaluation, adoption, and long-term ownership.

Who it is for

  • Consultants moving into AI
  • Engineers who need stronger business and consulting skills
  • Business and transformation professionals
  • Internal AI, data, risk, security, and innovation teams

Use cases

  • Follow the suggested 18-lecture learning path sequentially or use individual parts as a reference
  • Use the Northstar Professional Services case to practice end-to-end consulting from problem diagnosis to sustainable delivery
  • Reuse the templates and example deliverables to structure real consulting engagements
  • Run internal upskilling or team training with facilitator guides and exercises

Strengths

  • Vendor-neutral and openly reviewable by design
  • Covers the full consulting lifecycle: foundations, architecture, governance, evaluation, economics, adoption, and operations
  • Includes a running fictional case, templates, examples, facilitator guides, and small Python labs
  • Community-governed with contribution guidance and an RFC process for significant changes

Considerations

  • Completing the curriculum does not certify expertise or guarantee consulting competence
  • Material is educational only and is not legal, regulatory, financial, employment, or security advice
  • Learners must build their own portfolio and seek peer review; no formal assessment or accreditation is provided

README quick start

Getting started

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