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AI Integration Course for CTOs

This course guides CTOs and team leads through the process of integrating AI into development. It covers justification, launch, and measurement of AI implementation over 15 modules, including policy templates and a 90-day pilot baseline.

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The AI Integration Course for CTOs is designed to equip Chief Technology Officers and team leads with the knowledge and tools needed to effectively integrate AI into their development processes. The course is structured into 15 comprehensive modules, each focusing on different aspects of AI implementation. Participants will learn how to justify the need for AI, launch AI projects, and measure their impact. The course provides policy templates, a baseline for a 90-day pilot, and insights into the economic aspects of AI development.

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Participants will explore various approaches and practices, including the five levels of autonomy from auto-completion to agents, and the choice between local LLMs or models via API. The course also delves into the economics of AI development, offering strategies for cost reduction and a model for financial directors.

Security and compliance are addressed, with guidance on negotiating with information security services and incorporating AI usage policies. The course also covers requirement gathering, development, testing, CI/CD, and maintenance metrics, ensuring a holistic understanding of AI integration.

The course is free and can be completed without registration. Progress is stored locally in the participant's browser, ensuring privacy. Although the course data is current as of 2026, it is not updated post-release. Participants are expected to have prior experience in managing development teams, reading delivery metrics, and utilizing AI tools in their tasks.

  • CategoryCorporate Training & E-Learning
  • Pricing ModelFree
  • DeploymentCloud
  • PlatformsWeb

  • 15 comprehensive modules

  • Policy templates

  • 90-day pilot baseline

  • Free access

  • Local progress storage

  • Security and compliance guidance

  • Economic strategies for AI

  • Requirement gathering techniques

  • Development and testing insights

  • CI/CD and maintenance metrics

  1. Access course: visit website

  2. Navigate modules: follow sequence

  3. Utilize resources: download templates

  4. Apply knowledge: implement pilot

  • AI Justification
  • AI Launch
  • AI Measurement
  • Policy Development
  • Cost Reduction

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