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所在平台: Udemy |
课程主页: https://www.udemy.com/course/ai-foundations-for-decision-makers-from-zero-to-llms/
课程评论：没有评论
课程名称：AI决策者基础：从零到大型语言模型（LLMs） 课程概述：本课程的推出标志着一个范式转变，强调大型语言模型（LLMs）将在未来几十年内塑造技术、社会、经济和政治格局。面对大量关于人工智能的课程和内容，特别是对于没有技术背景的决策者而言，这可能会令人感到不知所措。即使是对机器学习有所了解的专业人士，也需采用新方法理解大型语言模型和人工智能驱动的自动化。 与通常关注使用或构建LLMs的AI课程不同，本课程旨在为商业专业人士、创业公司创始人和投资者提供战略性的理解，帮助他们了解人工智能的变革潜力。参与者将不仅学习如何使用AI工具，还将获得一个深入但易于理解的框架，以评估人工智能的长期影响，并制定可持续竞争优势的AI优先策略。 适合报名的人群： - 产品经理、分析师和创业者，寻求可实践的AI决策方法。 - 高管和商业领导者，旨在弥合AI技术与商业战略之间的鸿沟。 - 需要招聘AI人才、评估AI驱动产品或与技术团队合作的非技术专业人士。 您将学到的内容： - 人工智能和机器学习基础：学习机器学习的关键原则、模型选择及其权衡，且无需复杂数学。 - 了解大型语言模型（LLMs）：了解LLMs的工作原理、机制、功能及现实世界应用。 - AI代理与AI优先组织：AI代理如何改变商业模型、决策和战略。 - 评估和选择LLM：开源与专有模型的比较、性能基准、成本考虑及合规要求。 - 代理经济：商业模型、货币化策略及自主AI驱动工作流程的崛起。 - AI部署中的挑战：幻觉、记忆、偏见、上下文丢失和计算成本。 课程的独特之处： - 专为决策者设计，而不仅仅是开发者。 - 比标准商业导向的AI课程更深刻地关注AI模型、LLM训练和AI代理。 - 不需要编码，但提供足够的技术深度，使参与者能够与工程团队进行有效交流。 - 包括相关研究论文和评估AI长期影响的战略框架。 通过本课程，参与者将掌握必要的技术基础和战略见解，以驾驭人工智能驱动的转型，与工程团队合作，并做出明智的、具备未来导向的商业决策。这不仅仅是一个关于AI工具的课程，更是一次深入探讨AI机制、潜力和战略影响的旅程。
You can find the eBook for this course attached to Lecture 5._________________________________________________The launch of ChatGPT in November 2022 signaled a paradigm shift, underscoring that Large Language Models (LLMs) will shape the technological, social, economic, and political landscape for decades. Yet, the sheer volume of courses and content on AI can overwhelm decision-makers, especially those without a technical background. Even professionals familiar with machine learning must adopt a new approach to understanding LLMs and AI-driven automation.Unlike typical AI courses that focus on using or building LLMs, this course is designed for business professionals, startup founders, and investors seeking a strategic understanding of AI's transformative potential. Instead of just learning how to use AI tools, participants will gain a deep yet accessible framework for evaluating AI's long-term impact and formulating an AI-first strategy for sustainable competitive advantage.Who Should Enroll?Product managers, analysts, and entrepreneurs seeking a practical decision-making approach to AI.Executives and business leaders aiming to bridge the gap between AI technology and business strategy.Non-technical professionals who need to hire AI talent, assess AI-driven products, or collaborate with technical teams.What You Will Learn:AI and Machine Learning Fundamentals - Key principles of machine learning, model selection, and trade-offs without complex math.Understanding Large Language Models (LLMs) - How LLMs work, their mechanics, capabilities, and real-world applications.AI Agents and the AI-First Organization - How AI agents transform business models, decision-making, and strategy.Evaluating and Choosing an LLM - Open-source vs. proprietary models, performance benchmarks, cost considerations, and compliance requirements.The Agent Economy - Business models, monetization strategies, and the rise of autonomous AI-powered workflows.Challenges in AI Deployment - Hallucinations, memorization, bias, context loss, and computational costs.What Sets This Course Apart?Designed for decision-makers, not just developers.Provides a deeper focus on AI models, LLM training, and AI agents compared to standard business-oriented AI courses.No coding required, but offers enough technical depth to help participants engage meaningfully with engineering teams.Includes relevant research papers and strategic frameworks for assessing AI's long-term impact.By the end of this course, participants will have the technical foundation and strategic insights needed to navigate AI-driven transformations, collaborate with engineering teams, and make informed, future-proof business decisions. This is not just a course on AI tools-it's a deep dive into AI's mechanics, potential, and strategic implications.
