(AITECHA) Cisco AI Technical Practitioner Advanced
Master production agentic AI systems with Cisco's AITECHA training. Build, monitor, and secure enterprise-ready agents. Enroll today!
Duration
2 days
Version
1.0
CE Credits
21
The Cisco Continuing Education Program enables you to renew your certifications while exploring new learning paths and enhancing your skillset. It's a convenient way to stay certified without retaking exams. Click here to learn more.
CLCs
20
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By default, our instructors deliver the courses remotely in real time in English. On-premise delivery and other languages available on request.
Dates and Prices
Cisco Learning Credits (CLCs) are prepaid training vouchers that can be used as investment into your knowledge. You can attend NIL Learning’s trainings and pay with CLCs. Click to learn more.
Course Overview
The Cisco AI Technical Practitioner Advanced (AITECHA) training is an expert-level continuation of the Cisco AI Technical Practitioner (AITECH) Learning Path, designed for practitioners building production-grade agentic AI systems. The living domain-driven design structure ensures the curriculum evolves as the technology landscape changes. Through this training, you’ll gain an understanding of the full engineering stack for production agentic AI systems. You will start by building a working agent from the ground up, learn to structure its outputs for reliable downstream integration, connect it to external tools via the Model Context Protocol (MCP), instrument and monitor it in production, give it memory and retrieval capabilities, and finally harden it against the security threats that come with autonomous tool use. Each course builds on the last—by the end you have the skills to design, deploy, and operate agents that are production-ready, not just demo-ready. This training also earns you 21 Continuing Education (CE) credits toward recertification.
This training will help you:
- Gain expertise in building production-grade agentic AI systems using industry-standard frameworks
- Develop skills to construct and integrate fully functioning AI agents with structured outputs for reliable downstream system use
- Learn to configure MCP servers and integrate external tools into AI-powered applications
- Acquire the ability to monitor, maintain, and secure AI agents in production using observability tools, KPI frameworks, and Cisco AI Defense solutions
- Earn 21 CE credits toward recertification
Welcome to Your Path to Mastery!
Hey! Ready to learn and grow? I'm here to help you every step of the way!
Welcome aboard! This course is tailored to empower you with the knowledge and skills you need. We'll make learning engaging and fun, turning your challenges into achievements. Let's get started on your amazing journey!
Robert Lesar
Lead Instructor
Objectives
Gain expert IT skills with NIL Learning: Benefit from our blend of theory and practical experience. Enhance your growth with insights into current and future tech trends. Choose us for cutting-edge Cisco training and more, taught by field-proven experts to maximize your training investment.
- Construct a functioning AI agent using industry-standard agentic frameworks and debugging practices
- Parse and route structured agent outputs to enable reliable downstream system integration
- Configure MCP servers and integrate external tools into AI-powered applications
- Implement memory, state management, and context retrieval within AI agent systems
- Design and build a production multi-agent pipeline in LangGraph using supervisor routing, specialist subgraphs, and parallel execution with structured state handoffs
- Monitor and maintain AI agents in production using observability tooling, KPI frameworks, and cost management strategies
- Evaluate agentic AI security risks and the technical configuration of Cisco AI Defense, DefenseClaw, and Splunk for threat detection and mitigation
Who should enroll?
- IT and Network Engineers
- Data Analysts
- AIOPs Specialists
- Solutions Architects
- Technical Leads
Course benefits:
Get expert knowledge
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Learn from the best in Cisco technologies
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Course Outline
- Build Your First Agent
- Structured Outputs and Agent Integration
- Equip the Agent: Tools, Skills, and MCP
- Memory, State, and Context Management
- Multi-Agent Orchestration with LangGraph
- Multi-Agent Orchestration with LangGraph
- AI Agent Security and Defense
Lab Outline
- Build, Extend, and Debug an Agent
- Build the Structured Output Pipeline
- Extend and Decompose an Agent
- Build a Memory- and RAG-Augmented Agent
- Build the Multi-Agent Pipeline
- Instrument the Multi-Agent Pipeline
- AI-Driven Data Exploration
Prerequisite Knowledge
There are no prerequisites for this training. However, the knowledge and skills you are recommended to have before attending this training are:
- Completion of Cisco AI Technical Practitioner (AITECH) Learning Path
- Comfortable with Python, REST APIs, and LLM API usage
These skills can be found in the following Cisco Learning Offerings:
Why NIL?
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30+ years of experience
Since 1992, NIL has been at the forefront of advanced contributors to strategic partner Cisco technologies, learning curriculum and value-added solutions deployed to clients around the globe.
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Fruitful training thanks to instructor
Our instructor transferred the required knowledge about the course topic very well. He tried to engage us with the training. It was a very fruitful training thanks to him.