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InfoQ Launches Online Cohorts for AI Security and AI-Assisted Engineering in October 2026

🔄 Updated 1d ago
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Key points

  • InfoQ offers two online cohorts starting October 2026.
  • "AI Security & Privacy Engineering" focuses on data protection in AI.
  • "AI-Assisted Engineering" addresses coding agent verification.
  • Katharine Jarmul and Zichuan Xiong facilitate the cohorts.

New Online Cohorts Announced

InfoQ is launching two five-week online certification cohorts in October 2026. These programs are designed for experienced practitioners in the AI and engineering fields.

The "AI Security & Privacy Engineering" cohort begins on October 26, 2026, and the "AI-Assisted Engineering" cohort starts on October 19, 2026.

AI Security & Privacy Engineering Focus

The AI Security & Privacy Engineering program examines methods for protecting sensitive data and testing security controls within AI products. Participants will work on current problems, tracing sensitive information flow in AI workflows, and using threat modeling and red teaming to assess architectures.

The capstone project for this cohort involves assessing an AI product architecture, identifying risks, selecting controls, outlining testing methods, and determining ownership of decisions. Katharine Jarmul, author of Practical Data Privacy, will facilitate this cohort.

AI-Assisted Engineering Focus

The AI-Assisted Engineering program focuses on verification processes for coding agents that modify existing codebases. Participants will work with a shared brownfield repository, building agent context, limiting permissions, adding tests and sensors, and separating generation from review before integrating checks into CI.

For their capstone, participants will present a resulting harness and submit a rule or agent skill derived from recurring review findings. Zichuan Xiong, Head of AIOps at Thoughtworks, will co-facilitate this cohort.

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Reporting from

InfoQ will offer two five-week online certification cohorts in October 2026: "AI Security & Privacy Engineering" and "AI-Assisted Engineering." These programs address protecting sensitive data in AI products and verifying changes made by coding agents in existing codebases, respectively.