AI Essentials for Entrepreneurs: Boost Your Business with AI
- Provider
- Udemy
- Section
- Data Science & AI
- Price
- $69.99
About this course
AI Essentials for Entrepreneurs: Boost Your Business with AI: a Data Science & AI course on Udemy, list price $69.99.
The syllabus, reviews and instructor details are on the provider's page.
Course Details
$69.99
List price on Udemy; the sale price is often lower.
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Certifications in this area
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- Google Data Analytics Professional Certificate · Foundational
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- Data Analysis with Python Certification · Associate
Concepts behind this area
Natural Language Processing
Natural language processing is the area of AI that makes human language readable and writable by machine: sorting text into categories, pulling structured facts out of it, translating it, generating it and measuring whether any of that came out right.
Computer Vision
Computer vision is the branch of artificial intelligence that turns images and video into structured answers: what is in the frame, where it sits, which pixels belong to it, and where it moves next.
Agentic AI
Agentic AI is software that wraps a language model in a loop where it can request actions from real tools, read what each action returns, and choose the next move until the job is finished or a rule stops it.
Business Intelligence (BI)
Business intelligence is the practice and the tooling for turning an organisation's data into reports and dashboards that people use to run it: connecting to the sources, modelling the data into measures everyone agrees on, and presenting it so that a manager sees the state of the business without asking an analyst.
Data Governance
Data governance is the set of decisions and responsibilities an organisation puts in place over its data: who owns each dataset, what each field means, who may read or change it, how long it is kept and how its quality is measured, recorded so that the answers do not depend on who is asked.
Data Quality
Data quality is the degree to which a dataset is fit for the purpose it is used for, assessed along named dimensions, whether the records are complete, unique, consistent, timely, valid and accurate, and measured against the requirements of the decision the data supports rather than against an absolute standard.
The field, explained: Artificial Intelligence & Machine Learning · Data & Analytics
Wider context: all fields, the glossary and certification exams.
Last updated 26 September 2026 · Getting Digital
