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Artificial Intelligence for Business Leaders

by Jonathan Reichental · LinkedIn Learning

4.5
(5,800 reviews)
80K+ enrolled2 hoursUpdated 2024-06

Our Verdict

Worth it — with caveats

Artificial Intelligence for Business Leaders is a roughly 1.5-hour LinkedIn Learning video course taught by author Doug Rose (not Jonathan Reichental, as our catalog incorrectly listed) that earns a strong 4.7/5 rating (verified at 4.7/5 from 596 ratings on the Class Central aggregator). It is a non-technical capabilities tour: instead of code or a strategy framework, Rose maps common business problems (customer service, logistics, inventory and sales prediction) to the AI techniques behind them (NLP/NLG/NLU, virtual agents, ML, neural networks, deep learning, biometrics) and name-checks tools like TensorFlow, AWS and Azure. The critical caveat is its age: it was released in September 2020, so it predates ChatGPT and contains zero coverage of generative AI, large language models or modern AI agents. It is a clear, well-reviewed primer for managers who want shared vocabulary and intuition, but anyone expecting a 2024-era strategy or generative-AI playbook will find it dated and high-level.

High satisfaction (4.7/5, verified at 596 ratings on Class Central) and a genuinely good, jargon-light overview for non-technical managers make it worth the ~90 minutes IF you treat it as AI awareness. But it was filmed in 2020, omits generative AI/LLMs entirely, and is more a buy-vs-build capabilities tour than the team-building/strategy course our catalog description implies, so it is conditional rather than a default 'take'.

Best for: Non-technical business leaders, managers, and analysts who want a quick, plain-English mental model of where classic AI (NLP, ML prediction, deep learning, automation, IoT) can plug into business problems, and a vocabulary to talk credibly with technical teams or vendors. It pairs well with existing LinkedIn Learning or LinkedIn Premium Career subscribers who can watch it at no extra cost on a free trial.

Skip if: Anyone seeking generative AI, ChatGPT, LLM, or AI-agent content (the course is from 2020 and covers none of it); practitioners who want hands-on labs, code, or implementation depth; and leaders looking for a structured strategy/operating-model or how-to-build-an-AI-team framework, which this course does not really deliver despite the title.

About This Course

Understand how to evaluate AI opportunities, build AI teams, and create an AI strategy for your organization.

What You'll Learn

How natural language processing, generation (NLG) and understanding (NLU) power responsive automated customer service, and which NLP/NLG tools lead the market
How automated speech recognition and AI virtual agents handle customer interactions, plus the top virtual-agent tools
How AI-driven automated decision-making improves logistics and is fed by IoT device data
How machine learning makes predictions (what customers will buy, anticipating questions, acting before competitors) and why labeling data is central
How neural networks and added layers (deep learning) enable customer classification and purchase clustering, with the top ML/deep-learning tools (TensorFlow, AWS, Azure)
How biometrics and body-language analysis fit in, and a sober look at what is genuinely 'intelligent' versus merely automated, including a 'don't be evil' ethics note

Curriculum

Introduction

Welcome to the course (1m 25s) framing AI as a way to solve business needs in logistics, market analysis, customer support and inventory prediction.

1. Understand Language

Natural language processing (NLP), generating natural-sounding text (NLG), understanding text and speech (NLU), responsive automated customer service, and reviews of top NLP and NLG tools.

2. Interact with Your Customer

Automated speech recognition, responding with AI virtual agents, and a review of the top virtual-agent tools.

3. Fast Automated Decisions

AI automated decision-making, next-level logistics, managing and monitoring with IoT devices, and conversational customer interaction.

4. Make Accurate Predictions

Building machine learning platforms, the centrality of labeling data, predicting purchases, anticipating questions, deciding before competitors, building systems with expertise, an ethics ('don't be evil') note, and a review of top ML tools.

5. See Patterns

Building a neural network, adding layers for deep learning, classifying best customers, clustering purchases, and a review of top deep-learning tools.

6. Seem More Human

Checking body language with biometrics and distinguishing what is genuinely 'intelligent' versus merely automated.

Conclusion

Next steps (1m 22s). The course includes 6 quizzes to test knowledge.

Prerequisites

  • No coding or math background required; it is conceptual and aimed at business audiences
  • General business management context (logistics, customer service, sales/inventory) helps the examples land
  • A LinkedIn Learning subscription or active free trial (or LinkedIn Premium Career, which bundles it)

Instructor

Jonathan Reichental

Instructor · LinkedIn Learning

Pros & Cons

Pros

  • Strong, consistent learner satisfaction: a verified 4.7/5 from 596 ratings on Class Central, matching the 4.7/5 shown on the LinkedIn Learning course page
  • Genuinely accessible and jargon-light: explains NLP, ML, neural networks and deep learning to non-technical managers without code or heavy math
  • Practical 'business problem to AI technique' framing, with concrete tool callouts (TensorFlow, AWS, Azure) that help with buy-vs-build conversations
  • Short and efficient at 1h 33m across 33 short lessons, with 6 quizzes and a shareable LinkedIn Certificate of Completion
  • Low effective cost for existing LinkedIn users: covered by a 1-month free trial, the standard subscription, or LinkedIn Premium Career

Cons

  • Released in September 2020 and not refreshed: it predates ChatGPT and contains no coverage of generative AI, large language models, or AI agents, which is a major gap in 2026
  • Title and our catalog description oversell it as an AI 'strategy'/team-building course; in reality it is a high-level capabilities awareness tour, not a strategy or operating-model framework
  • Entirely conceptual: no hands-on labs, datasets, or implementation, so it builds intuition but not skills
  • Locked behind a paid LinkedIn Learning subscription after the free trial; there is no permanent free-audit option

Alternatives To Consider

Frequently Asked Questions

Is Artificial Intelligence for Business Leaders free?

Artificial Intelligence for Business Leaders is $29.99/mo. No standalone purchase. LinkedIn Learning offers a 1-month free trial, then ~$29.99/month or $19.99/month billed annually ($239.88/year); it is also included in LinkedIn Premium Career (~$39.99/month) and Premium Business. Our catalog's '$29.99/mo' is accurate for the month-to-month individual plan. A shareable Certificate of Completion is included.

Who is Artificial Intelligence for Business Leaders for?

Non-technical business leaders, managers, and analysts who want a quick, plain-English mental model of where classic AI (NLP, ML prediction, deep learning, automation, IoT) can plug into business problems, and a vocabulary to talk credibly with technical teams or vendors. It pairs well with existing LinkedIn Learning or LinkedIn Premium Career subscribers who can watch it at no extra cost on a free trial.

What will you learn in Artificial Intelligence for Business Leaders?

How natural language processing, generation (NLG) and understanding (NLU) power responsive automated customer service, and which NLP/NLG tools lead the market; How automated speech recognition and AI virtual agents handle customer interactions, plus the top virtual-agent tools; How AI-driven automated decision-making improves logistics and is fed by IoT device data; How machine learning makes predictions (what customers will buy, anticipating questions, acting before competitors) and why labeling data is central.

What are the prerequisites for Artificial Intelligence for Business Leaders?

No coding or math background required; it is conceptual and aimed at business audiences; General business management context (logistics, customer service, sales/inventory) helps the examples land; A LinkedIn Learning subscription or active free trial (or LinkedIn Premium Career, which bundles it).

Is Artificial Intelligence for Business Leaders worth it?

High satisfaction (4.7/5, verified at 596 ratings on Class Central) and a genuinely good, jargon-light overview for non-technical managers make it worth the ~90 minutes IF you treat it as AI awareness. But it was filmed in 2020, omits generative AI/LLMs entirely, and is more a buy-vs-build capabilities tour than the team-building/strategy course our catalog description implies, so it is conditional rather than a default 'take'.

How we reviewed this course

This is an independent editorial assessment by Cursarium, based on LinkedIn Learning's published course materials and aggregated public learner feedback (last reviewed 2026-06). We have not independently completed the course. Links to providers are standard references, not paid placements.

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