AI for Executives: AI for Business Decision Making

本课程是 AI for Executives 专项课程 的一部分

位教师： Prof. Ernesto Damiani

包含在 Coursera Plus • 了解更多 中

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您将学到什么

Select and apply supervised, unsupervised, and reinforcement learning to real business decisions;

gauge accuracy and reliability.

Prepare data, engineer features, and integrate validated models into existing workflows and systems to automate decisions.

Build an executive AI roadmap that balances impact with governance—privacy, security, bias, explainability, and human-in-the-loop practices.

您将获得的技能

Model Training

LLM Application

Data Ethics

Data-Driven Decision-Making

Predictive Analytics

AI Integrations

Strategic Decision-Making

AI Enablement

Machine Learning Methods

Data Preprocessing

Machine Learning

Artificial Intelligence

Applied Machine Learning

Governance

Natural Language Processing

Feature Engineering

Responsible AI

Reinforcement Learning

AI Security

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3 项作业

了解顶级公司的员工如何掌握热门技能

积累特定领域的专业知识

向行业专家学习新概念

获得对主题或工具的基础理解

通过实践项目培养工作相关技能

获得可共享的职业证书

该课程共有3个模块

AI for Business Decision Making equips managers and executives with practical, non-technical skills to lead AI-driven decisions across the enterprise. You’ll learn how supervised, unsupervised, and reinforcement learning improve decision accuracy;

how to prepare data and engineer features;

and how to train, validate, and integrate models into existing workflows and systems via APIs and automation.

Through guided, hands-on notebooks, you’ll experiment with predictive analytics, Natural Language Processing (including sentiment analysis), and Large Language Models (LLMs) for real executive use cases—from customer feedback to process optimization and risk prediction.

The course also covers governance and ethics (privacy, security, bias, explainability), human-in-the-loop design, and measuring business impact.

Advanced topics introduce genetic/evolutionary methods and long-term reward optimization with reinforcement learning to inform strategy and planning.

By the end, you’ll be able to select the right technique for a decision problem, evaluate model reliability, integrate AI into business processes, and build an actionable roadmap for sustainable, responsible AI adoption.

This module introduces participants to the essential concepts of Artificial Intelligence (AI) and its role in shaping business decision-making.

Covering AI types, historical development, and ethical considerations, participants gain foundational knowledge crucial for understanding AI's impact on decision accuracy.

This module sets the stage for practical applications and advanced techniques in subsequent sessions, providing a solid foundation for navigating the intersection of AI and effective decision-making in business.

涵盖的内容

6个视频 3篇阅读材料 1个作业

Introduction to the Specialization • 2分钟

Introduction to Course Two • 1分钟

Introduction to Decision Science • 4分钟

Learning How to Train Models to Make Decisions • 6分钟

ML-Based Decision Making: Subjectivity and Bias • 6分钟

ML-Based Decision Making: Assessing & Mitigating Bias • 2分钟

Decision Science Key Concepts • 10分钟

Reinforcement Learning Key Concepts • 10分钟

ML Based Decision Making Key Concepts • 10分钟

Module 1 Quiz • 30分钟

This module is dedicated to the practical aspects of implementing AI decision models within a business framework.

Participants will be guided through the process of building and training different types of AI models, encompassing model identification, data preparation, feature engineering, and the application of model training and validation techniques.

The module further explores the seamless integration of AI into existing business systems, focusing on workflows, API integration, and efficient data flow management.

涵盖的内容

6个视频 6篇阅读材料 1个作业

Short Term and Long Term Rewards • 4分钟

Improving Business Processes Using AI • 4分钟

Introduction to RL Integration with Workflow Management Systems • 3分钟

RL Integration with Workflow Management Systems Part One • 2分钟

RL Integration with Workflow Management Systems Part Two • 2分钟

RL Integration with Workflow Management Systems Part Three • 2分钟

Short Term and Long Term Rewards Key Topics • 10分钟

Improving Business Processes Using AI Key Topics • 10分钟

Introduction to RL Integration with Workflow Management Systems Key Topics • 10分钟

RL Integration with Workflow Management Systems Part One Key Topics • 10分钟

RL Integration with Workflow Management Systems Part Two Key Topics • 10分钟

RL Integration with Workflow Management Systems Part Three Key Topics • 10分钟

Module 2 Quiz • 30分钟

This module moves from model‑building mechanics to strategic, data‑driven decision support.

You will compare supervised, unsupervised, and reinforcement techniques, apply natural‑language and predictive analytics—including large language models—to real business questions, and weigh machine‑learning recommendations against human cognitive factors to select the most effective approach for each decision context.

涵盖的内容

10个视频 9篇阅读材料 1个作业

Using Human Behavior and Text Analysis for Decision Insights • 4分钟

Introduction to Utilizing Predictive Models for Business Strategy • 3分钟

Utilizing Predictive Models for Business Strategy Part One • 1分钟

Utilizing Predictive Models for Business Strategy Part Two • 2分钟

Utilizing Predictive Models for Business Strategy Part Three • 3分钟

Introduction to Getting Advice from LLMs • 4分钟

Getting Advice from LLMs Part One • 2分钟

Getting Advice from LLMs Part Two • 1分钟

Artificial General Intelligence • 5分钟

Course 2 Conclusion • 1分钟

Using Human Behavior and Text Analysis for Decision Insights Key Topics • 10分钟

Introduction to Utilizing Predictive Models for Business Strategy Key Topics • 10分钟

Utilizing Predictive Models for Business Strategy Part One Key Topics • 10分钟

Utilizing Predictive Models for Business Strategy Part Two Key Topics • 10分钟

Utilizing Predictive Models for Business Strategy Part Three Key Topics • 10分钟

Introduction to Getting Advice from LLMs Key Topics • 10分钟

Getting Advice from LLMs Part One Key Topics • 10分钟

Getting Advice from LLMs Part Two Key Topics • 10分钟

Artificial General Intelligence Key Topics • 10分钟

Module 3 Quiz • 30分钟

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When will I have access to the lectures and assignments?

To access course materials, assignments, and earn a Certificate, you'll need to purchase the Certificate experience when you enroll in a course.Eligible learners may also have the option to start with a Free Trial.Some courses may also offer a Full Course, No Certificate option.

This lets you access course materials, submit required assessments, and receive a final grade, but you won't be able to earn or purchase a Certificate.

What will I get if I subscribe to this Specialization?

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work.

Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

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