Training for network engineers: preparation for the CCIE and CCNP Automation exams, production automation with Python and Ansible, and agentic AI built on RAG, MCP servers and LangGraph.
From the command line to agents that reason over your network.
Three areas, each taught by practitioners who do this work day to day.
Preparation for the CCIE Automation and CCNP Automation exams, built around the work you'll actually do: programmable interfaces, data models and automation pipelines.
Agents that reason over your network data and act through tools you control. Retrieval over your own documentation, MCP servers that expose network operations, and LangGraph to tie them together.
Design, optimisation and spectrum planning for microwave radio links, taught hands-on in the tools planners use.
Study guides, labs and mock exams for the CCIE Automation track, available any time.
Design and theory guides across the syllabus, chapter quizzes, and a timed 30-question mock exam that tracks your progress.
Hands-on lab tasks and lab-style mock exams, so you practise against the clock the way the exam will test you.
No account needed to start: try the five-question demo exam or read the complete Git chapter free.
Tools and code we've built and published openly, free to read, run and adapt.
Network automation software and agentic AI with RAG.
View on GitHubMCP servers and LangGraph agents for Cisco Modeling Labs, so an agent can build and query lab topologies.
View on GitHubA Windows screen capture and annotation tool: snip, annotate, combine and edit pages. One Python file and a few pip packages, with no installer and no registry changes.
View on GitHubTraining for your team, or hands-on help delivering the work itself.
On-site or remote, one-to-one or for a group. Courses in network automation, agentic AI and microwave radio planning, shaped around your team's environment and goals.
Network automation and microwave radio projects, delivered alongside your own engineers or taken on end to end as a defined piece of work.