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Cisco AI Technical Practitioner (810-110) training and exam prep - practical, hands-on AI skills including generative AI, prompt engineering and agentic AI.
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The Cisco AI Technical Practitioner (810-110 AITECH) is Cisco's practical AI certification. It validates real, technical AI skills across six domains: generative AI models, prompt engineering, AI ethics and security, data research and analysis, AI for code and workflow optimisation, and agentic AI. Unlike theory-heavy or strategy-only AI courses, it expects you to understand how models work, write effective prompts, use AI in development and daily workflows, and understand how autonomous agents are designed and controlled - including multi-agent coordination, tool use and the Model Context Protocol (MCP). It is a standalone certification - not part of the CCNA/CCNP/CCIE ladder - so it suits a very broad audience: network and IT engineers, developers, data analysts, AIOps and solution architects, technical leads, project managers and business analysts. There are no prerequisites, though a basic understanding of AI and an intermediate technical background help. The exam (810-110) is delivered through Pearson VUE - online with OnVUE proctoring, or at a test centre - runs 60 minutes with about 55-65 multiple-choice questions, is graded pass/fail with no published cut score, and costs about US$150 (or Cisco Learning Credits). Results are usually available within about 48 hours.
AI skills are the most in-demand capability in tech right now, and AITECH is a practical, vendor-backed way to prove you have them. It shows you can actually work with AI - generative models, prompts, AI-assisted coding, and agentic workflows - which is valuable in almost any technical role. Because it covers agentic AI and MCP (which most certifications do not yet), it signals genuinely current skills. It is affordable and quick, so it is an easy, high-value addition to your resume whatever your main role.
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AITECH has no prerequisites, so it is open to anyone with some technical background. It is ideal for: - Network and IT engineers who want to add AI skills - Developers who want to use AI for code and workflows - Data analysts, AIOps specialists and solution architects - Technical leads, project managers and business analysts working with AI Cisco recommends a basic understanding of AI and an intermediate technical background, but nothing is required.
How to earn it:
1. Prepare with an exam-prep course that includes hands-on AI practice (prompting, APIs, simple agents) - that is what we provide.
2. Register and schedule the 810-110 exam through Pearson VUE - online with OnVUE proctoring, or at a test centre.
3. Pass the exa...
The Cisco AI Technical Practitioner (810-110 AITECH) certification validates your understanding of artificial intelligence concepts and their practical application in modern IT and networking environments. The exam assesses your knowledge of AI fundamentals, generative AI, machine learning concepts, AI tools and workflows, data considerations, responsible AI practices, and the use of AI to support technical tasks and business outcomes. Understanding the exam structure and certification requirements can help you plan your preparation effectively and build confidence before the assessment. This section explains the exam pattern, question format, duration, certification requirements, and other important details you should know before taking the Cisco AI Technical Practitioner (810-110 AITECH) exam.
Exam details verified on 14 August 2026. The Cisco AI Technical Practitioner (810-110 AITECH) is a standalone practical AI certification with no prerequisites, delivered by Pearson VUE for about US$150 over 60 minutes (about 55-65 multiple-choice questions), graded pass/fail with no published cut score. Validity and recertification follow Cisco's standard policy; as this is a newer certification, confirm the exact terms at cisco.com.
AITECH is ideal for: - Network and IT engineers who want to add practical AI skills - Developers using AI for code and workflows - Data analysts, AIOps specialists and solution architects - Technical leads, project managers and business analysts working with AI There are no prerequisites, though a basic understanding of AI and an intermediate technical background help. If you are completely new to AI concepts, an AI fundamentals course can come first; if you want to combine AI with automation, pair this with CCNA Automation (200-901).
