Practical Playbooks on Broadband Training

In this episode of Wavelengths, the Amphenol Broadband Solutions podcast, host Daniel Litwin sits down with Charles Dillard and Marion Nowosatko—both Training Managers at Amphenol Broadband Solutions—to share a practical, modern playbook for building broadband training programs that scale.As networks modernize faster than teams can absorb new tools, workflows, and expectations, training has shifted from a support function to a strategic advantage. Customers demand first-visit resolution, fiber footprints continue to expand, and field teams are expected to master evolving toolchains without slowing production. In this conversation, Dillard and Nowosatko break down how top operators treat training like an internal product—blending in-house capability with vendor partnerships, leveraging third-party certifications, and designing learning formats that actually stick.Drawing on decades of field and curriculum experience, the guests outline what works today across bench training, guided field time, micro-learnings, and structured mentorship—plus how to balance hands-on realism with the need for consistency at scale.Key Discussion Highlights:• Build vs. Buy for Training Programs: Dillard and Nowosatko explain why in-house training sends an immediate signal of investment in employee growth while enabling tighter alignment to company-specific specs, processes, and quality standards—something off-the-shelf vendor training often can’t fully deliver.• When a Blended Model Makes Sense: Rather than treating it as “either/or,” the discussion frames internal and external training as complementary—especially when vendors can cover specialized equipment while internal teams focus on installation practices, troubleshooting workflows, and the real-world standards technicians are held to.• Partnering with Manufacturers the Right Way: The guests emphasize treating manufacturer relationships as true partnerships—not just product sales—where training is part of ensuring equipment performs correctly in the field. They highlight practical delivery methods like tech-meeting drop-ins, short-form micro-learning videos, and on-site field support that reinforces learning after initial rollout.• Why Third-Party Certifications Matter More Now: Certifications are positioned as both a workforce motivator and a transferable industry signal. For technicians, credentials provide recognition and career mobility; for employers, they reduce hiring risk by validating baseline knowledge and discipline. The guests stress the value of pairing certifications with meaningful recognition programs.• Designing Hands-On Labs That Are Realistic and Affordable: To make hands-on training feasible, they recommend leveraging vendor equipment support, repurposing retired or nonfunctional field gear for mockups, and standardizing lab builds so training stays consistent across locations—even when replicated nationally.• E-Learning That Actually Works at Scale: The episode makes the case that e-learning is essential for standardizing safety, theory, and specs across geographies—especially for dispersed teams. The guests advocate for e-learning that teaches techs how to find answers (not just memorize them), and for using digital modules as refreshers long after initial training.• Structuring On-the-Job Training Without Killing Productivity: A standout operational tip: flip the ride-along dynamic by placing new hires into production quickly so the seasoned technician assists on the new hire’s assigned jobs. This reduces metric pressure on mentors and creates more intentional coaching rather than passive shadowing.• How to Think About True Blended Learning: The conversation closes by encouraging operators to bucket training into what must be hands-on versus what can be standardized digitally. Meeting learners where they are—especially younger, device-native techs—means building lightweight, mobile-accessible micro-learnings that fit into field downtime without forcing a return to the classroom.This episode delivers a practical checklist for operators building training programs in 2026 and beyond—where the goal isn’t just knowledge transfer, but repeatable, scalable performance in the field.