Cisco AI Technical Practitioner (AITECH)

• Describe common generative AI models, tools, and practical workflows.
• Evaluate AI platforms for enterprise readiness and deployment options.
• Apply prompt engineering techniques for improved generative AI outputs.
• Create and refine text, visual, and audio assets using generative AI.
• Apply security and governance practices for AI environments.
• Identify and correct quality issues and biases in AI-generated outputs.
• Use generative AI for research, synthesis, and brainstorming.
• Explain APIs and secure API usage in AI systems.
• Apply AI to software engineering and data exploration.
• Differentiate between fine-tuning and Retrieval-Augmented Generation (RAG).
• Design AI-powered workflows and understand autonomous agentic AI architectures.

1. Generative AI Ecosystem

2. AI Architect’s Toolkit

3. Prompt Engineering for Technical Precision

4. AI-Driven Multimodal Asset Creation

5. Generative AI Security and Privacy Fundamentals

6. Debugging and Correcting AI-Generated Outputs

7. Advanced Prompting Strategies

8. AI-Powered Discovery and Synthesis

9. AI Systems Integration with APIs

10. AI-Driven Software Engineering

11. AI for Data Engineering and Exploration

12. Customizing AI Models

13. AI-Powered Workflows and Agentic AI

2 Days

Certification: Cisco AI Technical Practitioner (AITECH)
Exam: 810-110 AITECH v1.0
Duration: 60 minutes
Format: Cisco certification examination

• Hands-on practice with AI tools and workflows
• Prompt engineering exercises
• AI-assisted code generation and optimization
• AI-powered data analysis and exploration
• AI workflow and automation scenarios
• AI model customization and RAG concepts
• Agentic AI workflow scenarios

• IT and Network Engineers
• Data Analysts
• AIOps Specialists
• Solutions Architects
• Technical Leads
• Managers
• Business Process Analysts

No prerequisites