The ExTran AI Global Academy envisions a future where AI capability is trusted, inclusive, and globally portable. As the flagship educational and credentialing arm of the ExTran AI Group, the Academy is committed to building a world-class ecosystem for AI literacy, leadership, and lifelong learning. Anchored in Asia and designed to serve the world, it empowers individuals and institutions to navigate the AI era with clarity, confidence, and cross-cultural intelligence.
Extran AI Global Academy is globally recognized by international institutions, including the AI Academies of Hong Kong and Macau, establishing a seamless connection across its curriculum.
ExTran AI 环球AI学院（ExTran AI Global Academy）展望这样一个未来：人工智能能力不仅值得信赖、具有包容性，而且具备全球流通性。作为 ExTran AI 集团旗下的旗舰教育与认证机构，本学院致力于构建一个世界级的人工智能素养、领导力与终身学习生态系统。我们立足亚洲，服务全球，赋能个人与机构，使其能够以清晰的认知、坚定的信心和跨文化的智慧，从容驾驭人工智能时代。
ExTran AI 环球AI学院 獲得 「香港AI學院」 及澳門人工智慧學院等多個國際AI教育機構的廣泛認可，為其AI課程體系奠定了接軌國際的無縫連結。
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Democratize access to AI capability recognition through modular, stackable credentials.
Read MoreBuild scalable frameworks for cross-border entrepreneurship, governance, and talent mobility.
Read MorePosition Singapore and Asia-Pacific as global hubs for trusted AI credentialing, regulatory innovation, and sustainable tech leadership.
Read MoreThe Academy is also a vibrant hub for AI coaching, certification, and thought leadership.
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AI Capability Evaluation (ACE) Standard is a globally attuned, modular framework and examination designed to assess, credential, and uplift individual readiness for the AI era. Developed in 2025 by a multidisciplinary team of students from the Cornell University Chief AI Officer Program, alongside leading AI engineers and practitioners from Asia-Pacific innovation hubs—including Australia, Singapore, Hong Kong, and Macau—the ACE System reflects both academic rigor and regional relevance. The initiative also draws on the expertise of Ivy League alumni, UK- and US-trained panel experts, and several founding members of the United Nations University Global AI Network, ensuring alignment with multilateral development goals and ethical AI governance.
AI 能力评估（ACE）标准是一套契合全球趋势的模块化框架与AI认证考试体系，旨在评估、认证并提升个人在人工智能时代的应对能力。体系于 2025 年由康奈尔大学首席人工智能官（Chief AI Officer）项目的跨学科学生团队，联合来自澳大利亚、新加坡、香港和澳门等亚太创新中心的顶尖 AI 工程师及从业者共同开发。ACE 体系不仅体现了严谨的学术水准，也兼顾了区域发展的实际需求。此外，该计划还汇聚了常春藤盟校校友、英美资深专家小组以及联合国大学全球 AI 网络（United Nations University Global AI Network）多位创始成员的专业智慧，确保其与多边发展目标及合乎伦理的 AI 治理保持一致。
AI Essentials this AI course provides comprehensive foundational knowledge of artificial intelligence and machine learning concepts. It covers supervised and unsupervised learning techniques, deep learning architectures, and practical model evaluation methods. Students will gain both theoretical understanding and practical skills to build, evaluate, and deploy machine learning solutions.
《AI 基础》課程提供人工智能和机器学习概念的全面基础知识。内容涵盖监督式和无监督式学习技术、深度学习架构以及实际的模型评估方法。学生将获得理论理解与实践技能，从而能够构建、评估和部署机器学习解决方案。
Generative AI this course explores generative AI technologies, including large language models, prompt engineering, agentic AI systems, and practical applications in coding and content generation. Students will master techniques for designing effective prompts, understand autonomous AI agents, and learn to build advanced generative AI solutions while addressing ethical considerations.
《生成式人工智能》课程探讨了生成式人工智能技术，包括大语言模型、提示工程、智能体 AI 系统（Agentic AI），以及在编程和内容生成方面的实际应用。学生将掌握设计有效提示词的技巧，理解自主人工智能智能体（Autonomous AI Agents），并学习在应对伦理考量的同时，构建高级生成式人工智能解决方案。
AI Applications this course explores practical applications of AI and machine learning across diverse business functions and industries. Students will learn to identify AI opportunities, evaluate use cases, understand implementation challenges, and design AI solutions tailored to specific business needs. The module emphasizes both technical understanding and business acumen.
《人工智能应用》课程探讨了人工智能和机器学习在不同业务职能和行业中的实际应用。学生将学习如何识别人工智能机遇、评估应用案例、理解实施挑战，并设计针对特定业务需求的人工智能解决方案。本模块强调技术理解与商业敏锐度的并重。
AI Ethics & Governance this course provides comprehensive coverage of ethical principles, governance frameworks, and responsible AI practices. Students will develop critical understanding of AI's societal impacts, learn to identify and mitigate risks, and implement governance structures that ensure ethical and compliant AI systems. The module emphasizes both theoretical foundations and practical implementation.
《人工智能伦理与治理》课程全面涵盖了伦理原则、治理框架以及负责任的人工智能实践。学生将培养对人工智能社会影响的批判性理解，学习识别并缓解风险，并实施治理结构以确保人工智能系统的伦理性和合规性。本模块强调理论基础与实践落地的并重。
Scoring approach: Each paper contributes to the overall band (weighted equally or adjusted per sector).
Interpretation: Bands 1–4 indicate limited readiness, 5–6 operational competence, 7–8 advanced capability, 9–10 leadership/global impact.
AI Capability Evaluation (ACE) curriculum excels with its comprehensive, platform-neutral approach, provides an exceptional foundation for AI-900 candidates, achieving an impressive 95% alignment with the exam's core objectives.
DetailsExTran AI Global Academy is the flagship education and credentialing arm of ExtranAI, focused on AI literacy, leadership, and lifelong learning. It offers structured programs and certifications that help individuals and institutions build trusted, globally portable AI capability.
The Academy serves professionals, leaders, educators, and motivated learners who want to systematically upgrade their AI skills, earn recognized credentials, and stay competitive in the AI‑driven workplace.
Unlike isolated tutorials, ExTran AI Global Academy links its courses with the AI Capability Evaluation (ACE) Standard, so learning leads directly to a globally attuned certification. It also emphasizes cross‑cultural AI literacy and practical workplace readiness.
No; many programs are designed for non‑technical and semi‑technical learners and assume only basic digital literacy. Technical tracks are available for those with coding or data experience and are clearly labeled by level.
All ExTran AI Global Academy courses are currently offered in English only.
Yes; certifications are built on the ACE Standard, a globally attuned AI capability framework developed by scholars and practitioners from hubs such as Singapore, Hong Kong, Australia, and the US‑Ivy network, which employers and institutions increasingly treat as a trust‑language for AI skills.
Most standard programs are designed to be completed in a few weeks of part‑time study, with flexible pacing so working professionals can balance learning with jobs. Exact durations are listed per course on the Academy page.
Yes; core programs are delivered online via digital learning platforms, with options for live webinars, recorded sessions, and self‑paced materials, allowing global access from any location with internet.
Yes; organizations can enroll teams or departments and receive tailored cohort schedules, progress tracking, and group analytics to align AI‑upskilling with HR and L&D goals.
The Academy provides the training and practice that prepare learners for the ACE exams, which then serve as the formal certification of AI capability. Completing Academy courses is strongly recommended before sitting for ACE‑Standard‑level exams.
Yes; the Academy offers refresher and advanced tracks covering topics like generative AI, autonomous agents, and AI‑driven leadership, so learners can progress from foundational AI literacy to specialized, high‑impact skills.
Yes; the Academy partners with universities, schools, and training organizations to embed ACE‑aligned curricula, co‑design AI‑literacy programs, and support teacher training in AI‑assisted learning.
Learners are assessed through a mix of assignments, project‑based tasks, and ACE‑style evaluations that measure practical AI skills rather than only theoretical knowledge. This approach ensures graduates can apply AI tools in real‑world settings.
Yes; the Academy designs tracks that bridge academic learning with workplace‑ready AI skills, making it suitable for students, recent graduates, and young professionals aiming to build an AI‑enhanced career path.
You can enroll through the official ExTran AI Global Academy page or Whatsapp +65 91291013 directly, where you select your preferred course or track, provide basic information, and follow the registration workflow for self‑paced or cohort‑based learning.