Courses
Your next engineer will spend months ramping up on WebRTC. Unless you give them a path.
Structured onboarding cuts that ramp from months to weeks. 70+ hours of courses built from 20 years of working with teams that ship real-time communication products.
Team Onboarding Programme
Required onboarding for WebRTC teams. Not a one-time event. Infrastructure.
Every WebRTC team has the same problem. New hires take months to become productive. Not because they are bad engineers, but because WebRTC is complex, full of edge cases, and easy to get almost right. NVIDIA, Sprinklr, Bloomberg, and Twilio use these courses as required onboarding. NVIDIA and Sprinklr come back year after year.
What your team gets
16 weeks to 4.
Typical ramp-up for a new engineer on a WebRTC team, with and without structured onboarding.
- ✓ Make architecture decisions (SFU vs. MCU, scaling topology, codec strategy) without external help
- ✓ Debug production issues using getStats() data and structured diagnostic methods instead of guessing
- ✓ Evaluate vendors and media servers based on real tradeoffs, not marketing
- ✓ Handle WebRTC support tickets without escalating every one to engineering
- ✓ Ship with confidence that the next release did not break call quality, because they know how to measure it
How it works
Discovery call
Review your team's WebRTC stack, map roles to courses, and pick Master Class topics if going Premium.
Setup
Seat access and group management configured. Your team gets credentials within two business days.
Learning
Self-paced courses on your timeline. Live Master Classes scheduled around your team's availability.
Ongoing
Course portal Q&A, Virtual Agent for 24/7 help, and course updates for the duration of access.
Ready to discuss team access?
Send your team's WebRTC stack and team size and I will send a tailored recommendation before we schedule a call. Or book a 30-minute discovery call directly.
Support Team Training
Your support team handles "the call doesn't work" tickets every day. Train them to resolve, not escalate.
Most WebRTC support issues escalate to engineering because nobody trained the support team on what to look for. Engineers lose roadmap time investigating problems that a trained support agent would resolve in 20 minutes.
The Supporting WebRTC course covers how to identify what is wrong with a call from the customer's side, what questions to ask, what information is worth escalating, and what can be diagnosed without access to the backend. Includes a Virtual Agent that support staff can use as a 24/7 reference.
Course Catalog
Eight courses. Pick the one that matches the gap.
Or get all of them through a team plan. Featured courses are the ones most teams start with.
Featured
Advanced WebRTC Architecture
The flagship course. SFU vs. MCU vs. mesh topology, scaling strategies, recording, fallback handling, cross-browser interoperability, and the architecture of real-time communication systems under actual load. Teaches judgment, not just answers.
WebRTC Security and Privacy Essentials
What the browser handles and what it does not. Signaling server security, identity validation, consent flow gaps, and privacy implications that are not obvious until someone points them out. The actual threat model, not just the compliance checklist.
Supporting WebRTC
Not for engineers building the product. For the support team taking calls when the product does not work. Identify what is wrong, what to ask, what to escalate, and what can be diagnosed without backend access. Includes Virtual Agent for 24/7 reference.
Protocols & Tooling
Low-level WebRTC Protocols
ICE in detail, DTLS-SRTP, SCTP for data channels. What the browser is doing on every call underneath the API surface. The course for bugs you cannot explain from the API level.
Higher-level WebRTC Protocols
SDP, RTP extensions, RTCP, and the protocol interactions on top of the WebRTC browser API. Most developers treat this layer as a black box and only open it when something breaks. This course opens it before it breaks.
WebRTC Tooling
Less structured curriculum, more reference toolkit. Interviews with people behind Janus, Jitsi, mediasoup, Pion, LiveKit, Kurento, and others. Short decision snippets on ICE config and fault tolerance. "Built with WebRTC" case studies.
Free Courses
WebRTC Basics
How WebRTC works before you do anything else. Purely the basic concepts, getting you to think the way WebRTC needs you to. A lot of developers skip this and go straight to code. That works until something breaks and they do not know where to look.
WebRTC: The Missing Codelab
Most WebRTC codelabs show you the happy path. This one covers what breaks: ICE failures, connection edge cases, the parts where the spec is ambiguous and browsers differ. Hands-on, with actual code.
Why not just use AI?
Fair question. Here is where it breaks down.
An AI assistant can explain what SDP is, generate a basic signaling server, or summarize what getStats() fields mean. But there are four places where it falls short.
Architecture decisions require judgment, not answers
SFU vs. P2P for a 50-person call. VP9 vs. H.264 given your user base. Build recording into the SFU or offload it. The right answer depends on your specific constraints. An AI gives you a generic answer. These courses teach your team how to evaluate the tradeoffs for your situation.
Debugging requires structured diagnostics
When a customer says "the call was choppy," the problem could be the encoder, the jitter buffer, the network, the TURN relay, or the application's media handling. AI can list possible causes. It cannot walk your team through systematic elimination using getStats() data from a real session.
Security threat models need to be understood, not looked up
An AI will tell you about SRTP encryption. It will not help your team understand why their specific signaling server configuration leaks session metadata, or why their consent flow has a gap they have not noticed.
AI does not replace shared team context
When five engineers have completed the same curriculum, they share a common vocabulary and decision framework. That makes architecture discussions productive and code reviews meaningful. ChatGPT subscriptions do not produce that alignment.
Where to Start
Five scenarios. One recommendation each.
Your team ships a WebRTC product and you want structured onboarding for new hires
Start with the Team Onboarding Programme. Email tsahil@bloggeek.me with your team size and WebRTC stack.
Your support team escalates every WebRTC ticket to engineering
The Support Team Training is a separate track built specifically for support teams. Team pricing available.
You are an individual developer and WebRTC is new to you
Take WebRTC Basics and then The Missing Codelab. Both are free. That combination builds the foundation without any upfront cost.
You are building a production system and need to make architecture decisions
Advanced WebRTC Architecture is the most important course. It is where the decisions that determine whether a system works under real conditions are laid out in full.
You have a specific gap: security, protocols, debugging, tooling
The courses are modular. Pick the one that matches the gap. You do not need to take them in order.
All courses at one place
All courses are at webrtccourse.com
Browse the full catalog, check team pricing, or start with a free course today.
Go to webrtccourse.com