Udemy

Engineering Artificial General Intelligence Systems

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  • 5,145 名學生
  • 更新於 3/2026
5.0
(01 個評分)
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課程資料

報名日期
全年招生
課程級別
學習模式
修業期
7 小時 57 分鐘
教學語言
英語
評分
5.0
(01 個評分)
5次瀏覽

課程簡介

Engineering Artificial General Intelligence Systems

Build cognitive architectures, multi-agent systems, and alignment frameworks for next-generation AI.

“This course contains the use of artificial intelligence”

Step into the future of AI with Designing Aligned & Safe AGI Systems, a comprehensive course that equips you with the technical, ethical, and strategic foundations needed to build safe, aligned, and governable AGI. As artificial intelligence rapidly advances, the world needs developers, researchers, and innovators who understand not just how to build intelligent systems—but how to ensure they remain controllable, transparent, and beneficial to humanity.

In this course, you will learn how to design multi-layer AGI architectures, integrate alignment mechanisms, build robust safety protocols, and create governance frameworks that ensure long-term oversight and responsible deployment. You’ll explore essential concepts such as intent alignment, behavioral constraints, value alignment, oversight pathways, risk mitigation, and fail-safe engineering. Each module is structured to help you understand both the technical and ethical dimensions of AGI development.

Through real-world examples, visual frameworks, and your final capstone project, you will develop the ability to architect AGI systems that prioritize human agency, ethical reasoning, and societal well-being. You’ll learn how to evaluate system behavior, identify potential failure modes, and embed safety-first engineering principles into every design decision.

By the end of this course, you will have the knowledge and confidence to build AGI concepts grounded in responsible innovation, global safety standards, and human-centered design. Whether you're an aspiring AI engineer or a future policy leader, this program prepares you to contribute meaningfully to the future of aligned, beneficial intelligence.

課程章節

  • 9 個章節
  • 37 堂課
  • 第 1 章 Foundations of AGI
  • 第 2 章 Cognitive Architectures and Intelligent Agents
  • 第 3 章 Multi-Agent Systems and Emergent Behavior
  • 第 4 章 Alignment Theory and Frameworks
  • 第 5 章 AI Safety Engineering
  • 第 6 章 Ethics, Values, and Global Governance
  • 第 7 章 AGI Systems Engineering
  • 第 8 章 Building Responsible AGI Applications
  • 第 9 章 Capstone Project and Certification

課程內容

  • Understand the technical and core Artificial Intelligence concepts including machine learning, deep learning, neural philosophical foundations of AGI, Build and train AI and machine learning models using industry-relevant tools and techniques, and apply them to practical scenarios such as prediction, Apply RLHF and constitutional alignment methods in real-world settings, Implement cognitive architectures with memory, reasoning, and planning modules, Evaluate alignment risks, interpretability trade-offs, and control strategies, Build AGI-inspired prototypes using modern AI frameworks (LangChain, AutoGen, Hugging Face), Analyze AGI ethics, governance, and long-term impact on society, Deploy AI systems into real applications, integrating models into web apps, APIs, and interactive workflows to create end-to-end functional AI solutions.

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