Cisco AI Technical Practitioner
Accelerate your transition to AI-driven innovation by designing solutions, automating tasks, and leading teams using cutting-edge AI tools and methodologies.
The Cisco AI Technical Practitioner (AITECH) training is designed for technical professionals seeking to transition from traditional knowledge-based work to innovation-driven roles augmented by Artificial Intelligence (AI). This comprehensive program equips you with the skills to effectively design technical solutions, automate tasks, and lead technical teams using cutting-edge AI tools and methodologies. From AI-powered code generation and data analysis to advanced model customization and workflow automation, this training prepares IT and network engineers, data analysts, AIOPs specialists, solutions architects, technical leads, managers, and business process analysts to harness the full potential of AI within their organizations.
This training prepares you for the 810-110 AITECH v1.0 exam. If passed, you earn the AI Technical Practitioner certification. This training also earns you 8 Continuing Education (CE) credits toward recertification.
Updated 19/05/2026
7 courses found
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- Delivery Format: Virtual Learning
- Date 21-22 December, 2026 | 9:00 AM to 5:00 PM
- Location: Virtual (GMT Standa)
- Language: English
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- Delivery Format: Virtual Learning
- Date 08-09 February, 2027 | 8:00 AM to 4:00 PM
- Location: Virtual (GMT Standa)
- Language: English
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- Delivery Format: Virtual Learning
- Date 01-02 April, 2027 | 9:00 AM to 5:00 PM
- Location: Virtual (GMT Standa)
- Language: English
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- Delivery Format: Virtual Learning
- Date 17-18 June, 2027 | 8:00 AM to 4:00 PM
- Location: Virtual (GMT Standa)
- Language: English
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- Delivery Format: Virtual Learning
- Date 31 August-01 September, 2027 | 9:00 AM to 5:00 PM
- Location: Virtual (GMT Standa)
- Language: English
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- Delivery Format: Virtual Learning
- Date 18-19 October, 2027 | 8:00 AM to 4:00 PM
- Location: Virtual (GMT Standa)
- Language: English
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- Delivery Format: Virtual Learning
- Date 20-21 December, 2027 | 9:00 AM to 5:00 PM
- Location: Virtual (GMT Standa)
- Language: English
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