Cisco AI Technical Practitioner (AITECH)

About this course

Practical generative AI skills for technical professionals. Over two days you will build an AI toolkit, write precise prompts, create multimodal assets, debug and correct AI output, apply advanced prompting and understand AI security and privacy.

What you'll learn

• 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

Curriculum

Who it's for

Network engineers and IT staff looking to apply AI tools in their day-to-day technical work.

Before you start

No formal prerequisites. Bring curiosity and a willingness to practise.