Question 1

How many 810-110 practice questions are there?

Accepted Answer

150 questions across 1 version, each with the correct answer and an explanation.

Question 2

Are there free 810-110 sample questions?

Accepted Answer

Yes. 12 sample questions are free; 6 are open to everyone and the rest unlock with a free account.

Question 3

What does full access include?

Accepted Answer

Every 810-110 question in study, timed and flashcard modes, explanations for each answer, and progress that saves so you can resume.

Question 4

What topics does 810-110 cover?

Accepted Answer

Generative AI Models (20%), Prompt Engineering (15%), Ethics and Security (15%), Data Research and Analysis (10%), Development and Workflow Automation (20%), Agentic AI (20%).

Question 5

What is the Cisco 810-110 AITECH exam?

Accepted Answer

Cisco AI Technical Practitioner v1.0 (AITECH 810-110) is a 60-minute exam that leads to the Cisco Certified AI Technical Practitioner certification. It tests practical knowledge of generative AI models, prompt engineering, AI ethics and security, data research and analysis, development and workflow automation, and agentic AI.

Question 6

How long is the 810-110 AITECH exam and how much does it cost?

Accepted Answer

The exam is 60 minutes long and is delivered through Pearson VUE at a testing center or via OnVUE online proctoring. It is reported to cost US$150; confirm the current price when scheduling.

Question 7

Are there prerequisites for the Cisco AI Technical Practitioner (810-110) exam?

Accepted Answer

There are no formal prerequisites. Cisco recommends a basic understanding of AI concepts plus familiarity with technical workflows, APIs, software development concepts, data handling, and cloud services.

Question 8

What certification do I earn by passing 810-110 AITECH?

Accepted Answer

Passing 810-110 earns the Cisco Certified AI Technical Practitioner certification, which is valid for three years and can be displayed via Credly.

Question 9

What topics are on the 810-110 AITECH exam?

Accepted Answer

Six domains: Generative AI Models (20%), Prompt Engineering (15%), Ethics and Security (15%), Data Research and Analysis (10%), Development and Workflow Automation (20%), and Agentic AI (20%).

Question 10

When was the Cisco 810-110 AITECH exam released?

Accepted Answer

The AITECH training and 810-110 exam became available on December 18, 2025, with the current version being v1.0.

Question 11

Is AITECH the same as AIBIZ?

Accepted Answer

No. AITECH (810-110) is the AI Technical Practitioner track focused on hands-on technical AI skills, while AIBIZ is Cisco's AI Business Practitioner track focused on business-level AI understanding. They are separate certifications.

Question 12

How much does the 810-110 exam cost?

Accepted Answer

The 810-110 exam fee is $150 (USD; local pricing varies by region and provider).

Question 13

What is the passing score for 810-110?

Accepted Answer

You need Not published (Cisco does not disclose a fixed passing score for this exam) to pass 810-110.

Question 14

How long is the 810-110 certification valid?

Accepted Answer

3 years. Recertification: Earn Continuing Education (CE) credits before expiration; Retake a qualifying exam before expiration.

810-110Cisco AI Technical Practitioner practice test

Full access

Practice 810-110 in the simulator.

810-110, by the numbers.

Everything about 810-110.

Exam information

What 810-110 covers

How do I earn this certification?

How to study for this exam?

What's changed on this exam?

Who should take this exam?

Three ways to practise

Study mode

Timed mode

Flashcards

810-110 questions, answered

810-110Cisco AI Technical Practitioner practice test

Full access

Practice 810-110 in the simulator.

810-110, by the numbers.

Everything about 810-110.

Exam information

01Exam format60 min4

02Registration$150 · Pearson VUE, online proctoring3

03Validity3 years2

04In our question bankv1 (150)

What 810-110 covers

01Generative AI Models20%5 topics

1.1Describe major generative AI model families (e.g., LLMs, diffusion models) and common use cases (text summarization, content creation, code generation)Describe major generative AI model families and common use cases2 obj.

1.2Compare model hosting options (cloud-hosted vs locally hosted) and their trade-offs (cost, latency, privacy, scalability)Compare cloud-hosted vs locally hosted models and their trade-offs2 obj.

1.3Explain role of context windows, token limits and response managementExplain the role of context windows, token limits and response management2 obj.

1.4Understand model selection in AI model hubs and repositories for appropriate use-cases (e.g., reasoning, multimodality)Understand model selection in AI model hubs and repositories for appropriate use-cases2 obj.

1.5Describe Retrieval Augmented Generation (RAG) and role of embeddings and vector databasesDescribe RAG and the role of embeddings and vector databases2 obj.

Hands-on skills & common mistakesSelecting an appropriate generative model for a task · Confusing LLMs with diffusion models

02Prompt Engineering15%4 topics

03Ethics and Security15%4 topics

04Data Research and Analysis10%4 topics

05Development and Workflow Automation20%5 topics

06Agentic AI20%5 topics