InfoQ Opens Enrollment for New AI-Assisted Engineering Online Certification Program InfoQ 开启 AI 辅助工程在线认证课程报名

InfoQ has opened enrollment for the InfoQ Certified AI-Assisted Engineering Program, a new online certification program facilitated by senior practitioners in this space, Zichuan Xiong and Premanand Chandrasekaran. The first cohort runs September 18 through October 16, 2026, on Fridays at 9:00 AM PDT, for $1,470. A second cohort runs October 19 through November 16, Mondays at 9:00 AM PDT.InfoQ 开启了“AI 辅助工程认证课程”的报名。这门在线课程由资深从业者 Zichuan Xiong 和 Premanand Chandrasekaran 主讲。第一期时间为 2026 年 9 月 18 日至 10 月 16 日，每周五太平洋夏令时间上午 9 点，学费 1470 美元。第二期时间为 10 月 19 日至 11 月 16 日，每周一太平洋夏令时间上午 9 点。

This certification is for senior engineers and architects who already run a coding agent on production code daily, working on codebases with years of history rather than simple AI demo applications. The program covers what an AI agent is allowed to do, how to catch it when it's wrong, and how you'd prove to your own organization that the code created is valid, scalable, and maintainable.这门认证课面向资深工程师和架构师。学员需已在生产环境中使用代码代理，且处理的是积淀多年的代码库，而非简单的 AI 演示应用。课程内容涵盖 AI 代理的权限边界、错误识别，以及如何向组织证明其产出的代码有效、可扩展且易于维护。

Xiong is Head of AIOps at Thoughtworks, has led architecture and delivery work since 2008, and builds agentic AI systems for software operations. Chandrasekaran is Head of Technology at Thoughtworks and has led engineering teams for two decades across financial services, retail, education, and healthcare. Both will run the Effective AI-Native Development with Harness Engineering training at QCon San Francisco on November 20.Xiong 是 Thoughtworks 的 AIOps 负责人，自 2008 年起从事架构与交付工作，负责构建软件运维的代理 AI 系统。Chandrasekaran 是 Thoughtworks 的技术负责人，在金融服务、零售、教育和医疗领域拥有二十年的工程团队管理经验。两人将于 11 月 20 日在 QCon 旧金山大会上共同主持“利用 Harness Engineering 进行 AI 原生开发”的培训。

Xiong says, "Teams are adopting coding agents faster than they're building the verification around them. The harness is everything outside the model: permissions, sensors, review gates, and CI checks that let an agent correct itself before a human ever sees the change. Over five weeks, you build a harness against a real codebase, and senior engineers from other companies tell you where yours is thin."Xiong 说：“团队采用代码代理的速度，快过他们构建验证机制的速度。Harness 存在于模型之外：包括权限、传感器、评审门禁和 CI 检查。这些东西能让代理在人看到变更前自行纠错。五周时间里，你要针对真实代码库构建一套 Harness，其他公司的资深工程师会指出你的不足。”

What each week covers每周课程安排

Each week, participants watch a QCon talk in advance, then spend four hours in a live session applying that week's framework to a shared brownfield codebase alongside senior engineers from other companies.每周，学员先观看 QCon 的演讲视频，随后参加四小时的直播课程。直播中，学员与来自其他公司的资深工程师一起，将当周的框架应用到共享的遗留代码库中。

• Week 1: onboarding an agent to an unfamiliar codebase, with least-privilege permissions and sandboxing.第一周：将代理引入陌生代码库，配置最小权限与沙箱。
• Week 2: turning a poorly specified issue ticket into a requirement an agent and a reviewer can verify against.第二周：将模糊的需求工单转化为代理和评审员可验证的规范。
• Week 3: separating generation from review, using an independent harness rather than letting the generating agent grade its own work.第三周：将生成与评审分离，使用独立的 Harness，不让生成代理自评工作。
• Week 4: moving verification into CI, including governance for unattended agent runs.第四周：将验证流程移入 CI，包括无人值守代理运行的治理机制。
• Week 5: codifying review findings into reusable rules, plus capstone presentations comparing five weeks of logged results against week-one predictions.第五周：将评审发现转化为可复用的规则，并进行结业展示，对比五周的记录结果与第一周的预测。

Live sessions and certification直播课程与认证

The program includes 20 hours of live sessions over five weeks working on the harness each participant is building. Sessions are not recorded, so participants can discuss permissions models, review gates and failures from their own organizations. The cohort and both facilitators continue in a private Slack channel between sessions.课程包含五周共 20 小时的直播，重点在于构建各自的 Harness。直播不录像，以便学员讨论各自组织内的权限模型、评审门禁及失败案例。课间，学员与讲师在私密 Slack 频道保持交流。

Certification requires consistent attendance and a capstone written submission. Participants work a single brownfield repository across all five weeks, then submit the harnessed repository, one rule or agent skill codified from their own recurring review findings, and a write-up comparing their logged results against their week-one predictions.获得认证需全勤并提交结业报告。学员需在五周内维护同一个遗留代码库，最终提交该仓库、一条基于评审发现总结出的规则或代理技能，以及一份对比记录结果与初期预测的报告。

The InfoQ AI programsInfoQ 的 AI 系列课程

AI-Assisted Engineering runs alongside AI Security & Privacy Engineering, with Katharine Jarmul. This program covers securing and governing AI systems in production: sensitive data handling, threat modeling and red teaming, controls and sandboxes, observability and evals, governance and auditing. This program begins August 26, and runs each Wednesday at 2:00 PM CEST.“AI 辅助工程”与 Katharine Jarmul 主讲的“AI 安全与隐私工程”同步进行。后者涵盖生产环境 AI 系统的安全治理：敏感数据处理、威胁建模与红队测试、控制与沙箱、可观测性与评估、治理与审计。该课程 8 月 26 日开始，每周三中欧夏令时间下午 2 点上课。

Two more cohorts outside AI will be available soon: Architecture with Luca Mezzalira, starting September 14 (Mondays, 9:30 AM BST), and Engineering Leadership with Michelle Brush, starting September 18 (Fridays, 10:00 AM PDT). All five cohorts run for five weeks, four hours a week, and cost $1,470.后续还将推出两门非 AI 课程：Luca Mezzalira 主讲的“架构”（9 月 14 日开始，每周一英国夏令时间上午 9:30）和 Michelle Brush 主讲的“工程领导力”（9 月 18 日开始，每周五太平洋夏令时间上午 10 点）。五门课程均为期五周，每周四小时，学费 1470 美元。

See all InfoQ Online Certification Programs at certification.qconferences.com.查看所有 InfoQ 在线认证课程，请访问 certification.qconferences.com。

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Artenisa Chatziou

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