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    Cisco AI Technical Practitioner (AITECH)

    Showcase your ability to effectively design technical solutions, automate tasks, and lead teams using cutting-edge AI tools.

    Course Overview

    Hit the AI ground running with job-ready expertise.

    With a Cisco AI Technical Practitioner (AITECH) certification, you’ll demonstrate AI expertise in coding, data analysis, automation, and workflows. Embrace a new innovation-driven role augmented by AI and get ready to skyrocket to new heights.

    To earn your Cisco AI Technical Practitioner certification, you’ll need to pass a core exam: Cisco AI Technical Practitioner (810-110 AITECH) v1.0. This exam certifies your knowledge and skills related to generative AI models, prompt engineering, AI ethics and security, agentic AI, and more.

    • Duration: 5 days
      Price: Price on enquiry

    Further Information

    • Course Modules
      • Generative AI models
      • Promot engineering
      • Ethics and security
      • Data research and analysis
      • Development and workflow automation
      • Agentic AI.
    • Course Objectives

    • By the end of the course, you should be able to:

      • Learn best practices for context engineering, data preparation, and mitigating the risks of data exfiltration.
      • Dive deep into pre-trained models, fine-tuning, and Retrieval-Augmented Generation (RAG) to tailor AI for your organisation’s use cases.
      • Design multi-step, AI-assisted workflows and gain an understanding of agentic AI systems and orchestration.
      • Identify technical challenges, build value cases for AI solutions, design pilot projects, and champion AI innovation within your technical teams.
    • Prerequisites

    • Example learner profiles

      • A technical IT professional looking to modernize your workflows with AI-powered code generation, test case generation, and AI-assisted data analysis and transformation
      • A solutions architect who needs to effectively evaluate AI customisation, deployment, and workflow integration
      • A technical lead or manager who wants to lead AI adoption, manage team workflows, and implement best practices