Cisco AI Technical Practitioner
- Référence AITECH
- Durée 2 jour(s)
- Version 1.0
Modalité pédagogique
Classe inter en présentiel Prix
EUR1,830.00
hors TVA
Demander une formation en intra-entreprise S'inscrireAller à:
Modalité pédagogique
La formation est disponible dans les formats suivants:
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Classe inter à distance
Depuis n'importe quelle salle équipée d'une connexion internet, rejoignez la classe de formation délivrée en inter-entreprises.
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E-Learning
Pour cette formation, il existe aussi un produit d’auto-formation en ligne. Nous consulter.
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Classe inter en présentiel
Formation délivrée en inter-entreprises. Cette méthode d'apprentissage permet l'interactivité entre le formateur et les participants en classe.
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Intra-entreprise
Cette formation est délivrable en groupe privé, et adaptable selon les besoins de l’entreprise. Nous consulter.
Demander cette formation dans un format différent
Résumé
Haut de pageAccelerate 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
Prochaines dates
Haut de page-
- Modalité: Classe inter à distance
- Date: 21-22 décembre, 2026 | 10:00 AM to 6:00 PM
- Centre: SITE DISTANT (W. Europe )
- Langue: Anglais
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- Modalité: Classe inter en présentiel
- Date: 28-29 janvier, 2027 | 9:00 AM to 5:00 PM
- Centre: RUEIL ATHENEE (W. Europe )
- Langue: Français
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- Modalité: Classe inter à distance
- Date: 28-29 janvier, 2027 | 9:00 AM to 5:00 PM
- Centre: SITE DISTANT (W. Europe )
- Langue: Français
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- Modalité: Classe inter à distance
- Date: 08-09 février, 2027 | 9:00 AM to 5:00 PM
- Centre: SITE DISTANT (W. Europe )
- Langue: Anglais
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- Modalité: Classe inter à distance
- Date: 01-02 avril, 2027 | 10:00 AM to 6:00 PM
- Centre: SITE DISTANT (W. Europe )
- Langue: Anglais
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- Modalité: Classe inter en présentiel
- Date: 20-21 mai, 2027 | 9:00 AM to 5:00 PM
- Centre: RUEIL ATHENEE (W. Europe )
- Langue: Français
Public
Haut de pageThis Course is intended for the following participants:
- IT and Network Engineers
- Data Analysts
- AIOPs Specialists
- Solutions Architects
- Technical Leads
- Managers
- Business Process Analysts
Objectifs de la formation
Haut de pageAfter this course participants 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, analyzing 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 utilizing 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 neutralize 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 analyzing its role in optimizing code quality, velocity, and lifecycle management
- Conduct exploratory data analysis and transformation by utilizing generative AI tools to clean datasets and generative insights
- Evaluate AI model customization strategies by differentiating between fine-tuning and RAG and analyzing local deployment architectures
- Design directive AI-powered workflows and describe the architecture of autonomous agentic systems
Programme détaillé
Haut de page- 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
- Customizing AI Models
- AI-Powered Workflows and Agentic AI
Pré-requis
Haut de page- There are no prerequisites for this training.
Certification
Haut de pageCisco AI Technical Practitioner (810-110 AITECH) v1.0 is a 60-minute exam associated with the AI Technical Practitioner certification.
This exam tests your knowledge and skills related to:
- Generative AI models
- Prompt engineering
- AI ethics and security
- Data research and analysis
- AI for Code and Workflow Optimization
- Agentic AI
Et après
Haut de page- None recommended
Bon à savoir
Haut de page- “Official course book provided to participants.”
