CAIP - Certified Artificial Intelligence Practitioner
Artificial intelligence (AI) and machine learning (ML) have become essential parts of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services. This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, all while following a methodical workflow for developing data-driven solutions.
Virtual Learning
This interactive training can be taken from any location, your office or home and is delivered by a trainer. This training does not have any delegates in the class with the instructor, since all delegates are virtually connected. Virtual delegates do not travel to this course, Global Knowledge will send you all the information needed before the start of the course and you can test the logins.
9 courses found
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- Delivery Format: Virtual Learning
- Date 14-18 December, 2026 | 8:30 AM to 12:30 PM
- Location: Virtual (Eastern Standard Time)
- Language: English
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- Delivery Format: Virtual Learning
- Date 01-05 February, 2027 | 8:30 AM to 4:30 PM
- Location: Virtual (Eastern Standard Time)
- Language: English
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- Delivery Format: Virtual Learning
- Date 22-26 March, 2027 | 8:30 AM to 4:30 PM
- Location: Virtual (Eastern Standard Time)
- Language: English
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- Delivery Format: Virtual Learning
- Date 17-21 May, 2027 | 8:30 AM to 4:30 PM
- Location: Virtual (Eastern Standard Time)
- Language: English
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- Delivery Format: Virtual Learning
- Date 28 June-02 July, 2027 | 8:30 AM to 4:30 PM
- Location: Virtual (Eastern Standard Time)
- Language: English
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- Delivery Format: Virtual Learning
- Date 16-20 August, 2027 | 8:30 AM to 4:30 PM
- Location: Virtual (Eastern Standard Time)
- Language: English
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- Delivery Format: Virtual Learning
- Date 04-08 October, 2027 | 8:30 AM to 4:30 PM
- Location: Virtual (Eastern Standard Time)
- Language: English
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- Delivery Format: Virtual Learning
- Date 01-05 November, 2027 | 8:30 AM to 4:30 PM
- Location: Virtual (Eastern Standard Time)
- Language: English
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- Delivery Format: Virtual Learning
- Date 13-17 December, 2027 | 8:30 AM to 4:30 PM
- Location: Virtual (Eastern Standard Time)
- Language: English
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