Cisco AI Technical Practitioner

This Course is intended for the following participants:

- IT and Network Engineers

- Data Analysts

- AIOPs Specialists

- Solutions Architects

- Technical Leads

- Managers

- Business Process Analysts

After 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

• 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

• There are no prerequisites for this training. 

Cisco 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

• None recommended

• “Official course book provided to participants.”