Artificial Intelligence (AI) in Business Strategy

Master AI and Artificial Intelligence for Business Strategy and Smarter Executive Decisions

Created byMahmudul Hasan Tareq

Last updated 2/2026

English

English [Auto],

What you'll learn

Understand the role of AI and Artificial Intelligence in shaping modern Business Strategy across industries
Identify different AI tools used for forecasting, automation, and competitive analysis
Interpret business data to support informed strategic decisions
Evaluate how AI improves long-term strategic planning and scenario analysis
Analyze customer behaviour using AI-driven insights and segmentation models
Assess ethical, operational, and strategic considerations when implementing AI

Course content

5 sections • 22 lectures • 1h 58m total length

Introduction0:48
Explore how AI fits into business planning and decision making, define AI in a business context, and show its role in solving problems and gaining competitive edge.
Section 1: Lecture 14:23
Define artificial intelligence in business as tools that simulate human thinking to aid decision-making, pattern recognition, and problem-solving.
Section 1: Lecture 24:02
Artificial intelligence empowers businesses to tackle speed, accuracy, and decision-making challenges by processing large data volumes, improving customer service, forecasting demand, and detecting fraud with real-time insights.
Section 1: Lecture 33:42

Introduction0:39
Explore the main types of AI tools used in business, compare machine learning and deep learning, and examine predictive analytics software and natural language processing platforms for decision support.
Section 2: Lecture 19:11
Section 2: Lecture 27:02
Predictive analytics software analyzes historical and current data to generate probability-based forecasts using statistical models and machine learning, guiding planning across sales, finance, operations, and customer management.
Section 2: Lecture 38:32
Explore natural language processing platforms and their role in automating customer interactions, sentiment analysis, document processing, translation, writing, and voice commands.

Introduction0:39
Learn how data fuels AI-driven business strategies by collecting relevant data, ensuring quality through cleaning, and structuring data for effective AI modeling.
Section 3: Lecture 18:31
Set clear data objectives and collect only information that supports AI-powered decisions, using a mix of internal and external sources and automating data collection for timely, secure access.
Section 3: Lecture 26:38
Improve AI-driven decisions by ensuring data quality—accuracy, completeness, consistency, and current data—through cleaning practices and long-term maintenance.
Section 3: Lecture 38:49
Standardize and label data across sources to enable AI modeling, categorize fields, remove unnecessary data, fill missing values properly, and convert unstructured data to structured formats.

Introduction0:46
Explore how artificial intelligence centers customer needs in business strategy to personalize marketing. Use sentiment analysis to shape product strategy, map the customer journey, and predict churn and behavior.
Section 5: Lecture 15:49
Explore how AI personalizes marketing by collecting cross-channel customer data, predicting behavior, and delivering dynamic, timely content across emails, ads, and chatbots.
Section 5: Lecture 25:54
leverage sentiment analysis to shape product strategy by interpreting customer language and real-time feedback. guide feature development, product positioning, and release evaluation to align with customer needs.
Section 5: Lecture 36:49
Explore how artificial intelligence maps the customer journey across websites, apps, and channels. It tracks real-time behavior, identifies friction, and guides data-driven improvements in marketing, sales, and support.
Section 5: Lecture 45:41
Use ai-powered churn prediction and predictive models to detect disengagement from structured and unstructured data, then act with targeted discounts, outreach, or product recommendations to reduce loss and build loyalty.

Requirements

No Experience needed. The course is suited for beginners.

Description

This course contains the use of artificial intelligence.

Artificial Intelligence is transforming how businesses compete, plan, and grow. The question is no longer if you should use AI in business strategy, but how you can use it effectively to make smarter decisions.

In this course, you will learn how AI and Artificial Intelligence tools support strategic planning, customer insights, and financial forecasting. Instead of focusing on coding, this program explains AI from a business leadership perspective. You will understand how data becomes the foundation of smart decisions, how predictive models reduce uncertainty, and how AI-driven insights improve long-term competitive advantage.

We begin with a clear introduction to AI in business strategy. Then, you will explore different AI tools used in modern organizations, including predictive analytics, automation systems, and intelligent dashboards. You will discover how AI supports scenario planning, customer segmentation, revenue forecasting, and risk assessment.

By the end of this course, you will be able to:

Identify AI tools that align with your business goals
Use data to support executive-level decision-making
Improve strategic planning using AI-based insights
Strengthen customer-centric strategies through intelligent analysis
Apply AI concepts to financial performance and forecasting
Evaluate opportunities and risks in AI adoption

This course is ideal for managers, entrepreneurs, consultants, MBA students, and professionals who want to stay competitive in a rapidly evolving business environment.

Who this course is for:

Professionals transitioning into AI-focused strategy roles
Managers responsible for planning and forecasting
Business executives seeking data-driven strategic insights
Entrepreneurs planning AI-enabled growth strategies

Artificial Intelligence (AI) in Business Strategy

What you'll learn

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Course content

Introduction to AI in Business Strategy4 lectures • 13min

Types of AI Tools Used in Business4 lectures • 25min

Data as the Foundation for Smart Decisions4 lectures • 25min

AI in Strategic Planning5 lectures • 30min

AI for Customer-Centric Strategies5 lectures • 25min

Requirements

Description

Who this course is for: