The course moves like a well-designed network. Foundational sessions establish the control plane: BGP neighbor relationships, session states, and finite-state machines. Jeremy uses crisp analogies—neighbors exchanging letters, each route signed with attributes that tell a story of preference and origin. Labs follow: you configure a neighbor, watch the session climb from Idle to Established, and feel the small victory as prefixes appear in the RIB.

Policy and filtering modules transform the abstract into craft. Route-maps, prefix-lists, and community tagging become the artisan’s tools. Jeremy guides learners through step-by-step labs: crafting a policy that rejects bogons, carving precise advertisements to a provider, or tagging routes so downstream peers behave predictably. He doesn’t hide the messiness—misapplied filters can orphan prefixes—and highlights troubleshooting patterns that turn panic into methodical diagnosis.

Next comes path selection. Jeremy strips the algorithm down to its bones: local-preference like a home-town bias, AS-path as the travel history, MED as a gentle nudge, and weight as a private tie-breaker. He punctuates the lecture with practical heuristics—when to tweak local-preference, when to prepend AS paths, and how MEDs play across confederations. Real-world scenarios thread through the theory: multi-homed customers, transit vs. peering decisions, and graceful traffic engineering without breaking the global table.

Outside the classroom, the internet keeps humming. Route announcements ripple across continents, ISPs negotiate peering at crowded exchanges, and somewhere a network engineer on call sleeps a little easier, knowing that behind those autonomous systems is a discipline learned well—one lecture, one lab, one careful configuration at a time.