AI Leadership Series

Principles of AI

Overview

Expectations that employees will use AI at work are rising fast, yet most teams still don't understand how AI actually works, what makes it reliable, or how to apply it responsibly. Principles of AI is a short, practical course that cuts through the hype and builds a foundation in AI beyond generative tools, covering machine learning, natural language processing, neural networks and computer vision.

This is an official Harvard Online course, featuring faculty from the Harvard Faculty of Arts & Sciences and delivered on Harvard Online's learning platform. IPMC International handles your registration, payment and local support, then enrols you on the course. The format is self-guided and on demand.

Length3 hours
CommitmentOn-demand, self-paced
FormatSelf-guided online
Faculty fromHarvard Faculty of Arts & Sciences

What you'll learn

The course builds three connected capabilities:

  • Understand AI foundations: explain the core AI technologies beyond generative AI, and how AI systems are trained and evaluated for reliability.
  • Assess data readiness for AI success: recognise what "high-quality" data looks like and why data quality and strategy determine whether AI delivers.
  • Lead responsible AI adoption at work: apply governance and frameworks around fairness, bias and security to bring employees on board and support effective upskilling.

Course syllabus

The course is organised into four short sections that move from AI concepts to practical business application. There are no prerequisites.

Decoding AI: From Concept to Everyday Reality

Tell the difference between rigid, rules-based automation and adaptive AI, and learn how natural language processing and neural networks extract insight from large volumes of complex text.

The Fuel of AI: Understanding Data's Crucial Role

Explore how data strategy underpins reliable AI, including using synthetic data to fill historical gaps and data fusion to connect disparate streams into holistic insight.

AI in the Workplace: Shaping How We Work

See how computer vision and NLP automate high-frequency analysis, and how combining the Internet of Things with anomaly detection shifts organisations from reactive recovery to proactive prevention.

Leading with AI: Strategy, Ethics, and the Future

Turn abstract ethics into practice with governance frameworks and compliance-by-design, and drive adoption by building psychological safety and role-specific upskilling.

Faculty

Dustin Tingley: Your instructor. The Thomas D. Cabot Professor of Public Policy, with a joint appointment in the Harvard Kennedy School and the Harvard Government Department, and a data scientist at Harvard University. He is Deputy Vice Provost for Advances in Learning and helps direct Harvard's education-focused data science and technology team.

Who it's for

This course suits professionals and teams across technology, consumer products, government, consulting and beyond who need a clear, non-technical grounding in how AI works and how to adopt it responsibly. It's ideal for professionals, graduates and organisations who want a globally recognised Harvard Online credential to advance their careers or capabilities.

Your certificate

On completion you receive recognition of your learning from Harvard Online that you can add to your CV and LinkedIn. Because this is a short, modular course, the exact credential details are confirmed at enrolment.

Frequently asked questions

How much does it cost through IPMC?

The course fee is confirmed on enquiry and put in writing before payment.

How do I pay?

Pay IPMC securely by debit/credit card in UAE Dirhams (UAE) or by UPI, card or net banking in Indian Rupees (India).

Is the certificate really from Harvard Online?

Yes. The course is delivered by Harvard Online and completion is recognised by Harvard Online.

Do I need a technical background?

No. Principles of AI is designed to be practical and non-technical, giving you the concepts and vocabulary to engage with AI confidently at work.

When does it start?

This course is coming soon. Register your interest and we'll notify you as soon as Harvard Online confirms the start date.

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