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Cisco AI Technical Practitioner (AITECH)

  • Length 2 days
  • Price  NZD 3300 exc GST
  • Version 1.0
Course overview
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Why study this course

The Cisco AI Technical Practitioner (AITECH) course 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 organisations.

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.

Digital courseware: Cisco provides students with electronic courseware for this course. Students who have a confirmed booking will be sent an email prior to the course start date, with a link to create an account via learningspace.cisco.com before they attend their first day of class. Please note that any electronic courseware or labs will not be available (visible) until the first day of the class.

Exam Vouchers: Cisco exam vouchers are not included in the course fees but can be purchased separately where applicable.

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What you’ll learn

After taking this course, you should be able to:

  • Describe common Generative AI models, tools, and practical workflows

  • Apply a strategic framework to build a professional AI toolkit by evaluating platforms for enterprise readiness, analysing AI service economics, and making the architectural decision between cloud and local deployment

  • Explain the importance of effective prompts and apply basic techniques to craft and refine prompts for improved Generative AI outputs

  • Develop multimodal business assets by utilising generative AI tools to create and refine text, visual, and audio content

  • Apply security frameworks and governance practices to mitigate dataset bias, protect sensitive data, and neutralise AI-specific threats

  • Validate AI-generated outputs by identifying quality issues and biases, and applying specific techniques to correct those errors for professional use

  • Construct complex, multi-step prompts by applying advanced methodologies to manage ambiguity and elicit specific LLM responses

  • Apply generative AI tools to conduct research and synthesize information, and use AI as a catalyst for brainstorming

  • Explain the fundamental role of APIs in AI systems and the principles of secure API usage

  • Evaluate the impact of AI on software engineering workflows by analysing its role in optimising code quality, velocity, and lifecycle management

  • Conduct exploratory data analysis and transformation by utilising generative AI tools to clean datasets and generative insights

  • Evaluate AI model customisation strategies by differentiating between fine-tuning and RAG and analysing local deployment architectures

  • Design directive AI-powered workflows and describe the architecture of autonomous agentic systems


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Cisco at Lumify Work

Lumify Work is the largest provider of authorised Cisco training in Australia, offering a wider range of Cisco courses, run more often than any of our competitors. Lumify Work has won awards such as ANZ Learning Partner of the Year (twice!) and APJC Top Quality Learning Partner of the Year.


Who is the course for?

  • Network Engineers

  • Network Architects

  • Network Designers

  • Network Administrators

  • Solutions Architects

  • Consulting Systems Engineers

  • Technical Solutions Architects

  • Cisco Integrators/Partners

  • Security Engineers

  • Network Managers

  • Program Managers

  • Project Managers

  • IT Directors/Chief Information Officers (CIOs)


Course subjects

  • Generative AI Ecosystem

  • AI Architect’s Toolkit

  • Prompt Engineering for Technical Precision

  • AI-Driven Multimodal Asset Creation

  • Generative AI Security and Privacy Fundamentals

  • Debugging and Correcting AI-Generated Outputs

  • Advanced Prompting Strategies

  • AI-Powered Discovery and Synthesis

  • AI Systems Integration with APIs

  • AI-Driven Software Engineering

  • AI for Data Engineering and Exploration

  • Customising AI Models

  • AI-Powered Workflows and Agentic AI


Prerequisites

There are no prerequisites for this training.



Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.


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