AI Essentials for Business (2025) - AI MBA Course

Name: AI Essentials for Business (2025) - AI MBA Course
Rating: 4.1 (30 reviews)

Drive AI Innovation to 10x Your Business!

Created byNexus Business Academy

Last updated 3/2025

English

What you'll learn

Understand AI Fundamentals – Grasp the core concepts, types, and evolution of AI, including machine learning and deep learning.
Identify AI Business Opportunities – Recognize how AI can drive innovation and efficiency across various business functions.
Explore AI Applications – Analyze industry-specific use cases in marketing, sales, operations, finance, HR, customer service, and more.
Develop an AI Strategy – Create a structured approach to adopting AI solutions, selecting the right technologies, and aligning AI with business goals.
Implement AI Ethically and Effectively – Understand ethical considerations, legal compliance, and data privacy to ensure responsible AI deployment.
Navigate AI Tools and Technologies – Explore AI platforms, no-code solutions, and data analytics tools tailored for business professionals.
Prepare for the Future of AI – Stay ahead of emerging AI trends and foster an AI-ready culture within the organization.

Course content

5 sections • 57 lectures • 7h 47m total length

1.1.1 What is AI?3:07
1.1.2 The Historical Evolution of AI11:07
1.1.3 Two types of AI6:19
Differentiate narrow AI (weak AI) from general AI (strong AI), illustrate with ChatGPT, Siri, and autonomous vehicles, and address limitations, ethics, and the singularity.
1.1.4 Types of AI - A General Overview4:08
1.1.5 Types of AI - Machine Learning (ML)4:41
1.1.6 Types of AI - Deep Learning4:43
1.1.7 Types of AI - Natural Language Processing (NLP)1:01
1.1.8 AI as a Driver of Digital Business Transformation5:37
1.1.9 AI as a Competitive Edge7:59
1.1.10 Assessing AI Business Opportunities - the IBM Framework9:07

2.1 Machine Learning Basics and AI Use Cases3:20
2.2 Key Concepts in Machine Learning (ML)10:50
2.3 Supervised Learning5:16
2.4 Unsupervised Learning8:25
2.5 Reinforcement Learning9:33
learn how reinforcement learning trains agents to maximize rewards through trial and error, using states, actions, and policies, with exploration-exploitation trade-offs, and apply to dynamic pricing, trading, and personalized recommendations.
2.6 How Machines Learn from Data14:18
2.7 Common Machine Learning (ML) Algorithms - Supervised Learning11:09
2.8 Common Machine Learning (ML) Algorithms - Unsupervised Learning14:34
2.9 Common Machine Learning (ML) Algorithms - Reinforcement Learning10:42
2.10 AI Model Training, Validation and Evaluation18:42
2.11 Practical Example - Building an AI Customer Churn Prediction Model (Roadmap12:01

4.1 AI Applications - Marketing and Sales9:28
4.2 AI Applications - Business Operations and Supply Chain Management5:08
4.3 AI Applications - Human Resources7:13
4.4 AI Applications - Finance and Risk Management7:55
4.5 Identifying AI Business Opportunities8:28
Identify AI opportunities by mapping core processes and data-rich activities, uncovering pain points and stakeholder needs, then build an AI strategy with roadmaps, KPIs, and pilot projects.
4.6 Implementing AI in Business - Goals and KPIs9:26
Set clear, smart goals and KPIs to reduce customer service response time, then monitor progress and adjust by aligning AI initiatives with strategy and cross-functional collaboration.
4.7 Developing an AI Roadmap17:09
4.8 Developing an AI Roadmap - Resource Allocation16:17
4.9 Exercise - Developing an AI Strategy2:15
4.10 Example - Developing an AI Strategy (I)5:49
4.11 Example - Developing an AI Strategy (II)7:06
4.12 Example - Developing an AI Strategy (III)5:03
4.13 Example - Developing an AI Strategy (IV)6:55
4.14 Example - Developing an AI Strategy (Key Take-aways)4:09
4.15 Selecting AI Technologies13:59
4.16 In-house Development vs Outsourcing7:56
4.17 Hybrid Approach to AI Development2:28
4.18 Deciding whether to develop in-house or outsource5:28
4.19 Example - Deciding how to develop AI5:20

5.1 Ethical Practices in AI - Bias5:07
5.2 Ethical Practices in AI - Transparency and Explainability5:40
Promote trust and accountability through transparent AI systems and explainable AI, moving from black box explanations to interpretable models and post hoc methods like Lime and Shapley values.
5.3.1 Data Privacy and Security - The GDPR2:59
5.3.2 Data Privacy and Security - The CCPA2:47
Learn how the California Consumer Privacy Act governs businesses handling California residents’ personal data, with GDPR reference, detailing rights to know, delete, opt out, and non-discrimination, plus compliance strategies.
5.3.3 Data Privacy and Security - Security Considerations4:25
5.4 Societal Considerations of AI5:43
5.5 Impact of AI (Example)4:47
5.6 Corporate Social Responsibility (CSR) and AI5:01
5.7. 1 Developing an AI Ethics Policy7:03
5.7.2 Exercise - Developing an AI Ethics Policy1:43
5.7.3 Exercise - Developing an AI Ethics Policy - Example14:42

Requirements

No requirements - only an interest in AI & Business

Description

AI Essentials for Business is a self-paced online course designed to help business professionals understand and apply artificial intelligence (AI) in practical, real-world scenarios. Whether you're a business leader, manager, entrepreneur, or professional looking to stay ahead in the rapidly evolving digital landscape, this course provides a strong foundation in AI and its business applications.

We break down complex AI concepts into clear, easy-to-understand lessons, covering essential topics such as machine learning, deep learning, and data-driven decision-making. You'll explore how AI is transforming key industries like marketing, finance, operations, human resources, and customer service, gaining insights into how businesses are using AI to improve efficiency, automate processes, and enhance customer experiences.

Beyond understanding AI, this course also provides a strategic roadmap for successfully integrating AI into business operations. You’ll learn how to identify AI opportunities, assess business processes for AI adoption, select the right tools, and implement AI solutions effectively. Ethical considerations, legal compliance, and data privacy are also covered to ensure responsible AI use.

With interactive modules, case studies, expert insights, and hands-on exercises, you’ll develop the confidence to leverage AI for smarter decision-making and long-term business growth. By the end of the course, you’ll have the knowledge and skills to create an AI strategy, drive innovation, and make AI a valuable asset in your organization. Whether you're new to AI or looking to deepen your understanding, this course will equip you with the tools to stay competitive in an AI-driven world.

Who this course is for:

Everyone interested in AI and its business applications!

AI Essentials for Business (2025) - AI MBA Course

What you'll learn

Explore related topics

Course content

Introduction10 lectures • 58min

Fundamentals of Machine Learning11 lectures • 1hr 59min

Deep Learning6 lectures • 1hr 23min

AI Business Applications19 lectures • 2hr 28min

Ethical and Legal Aspects of AI11 lectures • 1hr

Requirements

Description

Who this course is for: