Similar Workshops, Courses & Talks: Inventory and Pattern Analysis

1. Paid courses (Maven, DeepLearning.AI, Coursera)

# Title Instructor / Org Format Audience
1 Context Engineering for AI Agents John Berryman (ex-Copilot, O’Reilly Prompt Engineering for LLMs) Maven cohort, paid Developers / AI engineers
2 Context Engineering for Agents & Multi-Agent Systems Greg Loughnane, AI Makerspace Lightning Lesson (free, ~1 hr) Mixed technical
3 Advanced Context Engineering Based on Dex Horthy / 12-Factor Agents manifesto Lightning Lesson AI engineers
4 Advanced Prompt Engineering for LLMs Elvis Saravia, DAIR.AI 4-day cohort, paid Python-literate intermediate
5 Context Engineering for Product Managers Mahesh Yadav Maven, paid PMs, non-coders
6 Context Engineering & Agentic RAG for PMs Mahesh Yadav Maven PMs
7 End-to-End AI Engineering Bootcamp Aurimas Griciūnas, SwirlAI 8-week cohort Technical
8 AI Engineering Bootcamp Loughnane & Alexiuk Cohort Developers
9 AI Prompting for Everyone Andrew Ng, DeepLearning.AI Free, ~2 hr General, no coding
10 ChatGPT Prompt Engineering for Devs Isa Fulford + Andrew Ng Free, 2 hr, Jupyter Devs (basic Python)
11 Generative AI: Prompt Engineering Basics IBM / Coursera Free audit Non-tech professionals
12 Generative AI for Everyone Andrew Ng Free General

2. Free webinars / company talks

# Title Org
13 Context Engineering Webinar: Manus + LangChain LangChain w/ Lance Martin & Yichao “Peak” Ji (Manus). Oct 14, 2025. Four pillars: write/select/compress/isolate. “Context explosion.”
14 Effective Context Engineering for AI Agents Anthropic. Source of “context rot” + “smallest set of high-signal tokens.”
15 Building Agents with MCP - Full Workshop Mahesh Murag, Anthropic. Developer-focused.
16 Anthropic Skilljar courses + prompt-eng-interactive-tutorial Anthropic. 9-chapter interactive prompt eng tutorial.
17 SwirlAI Context Engineering Workshop Aurimas Griciūnas. Free 45-min workshop.
18 Redis × LangChain Context Engineering Workshop Redis + LangChain. Hands-on: evolve a course-advisor agent.

3. Conference talks

# Title Speaker / Venue
19 12-Factor Agents Dex Horthy, HumanLayer @ AI Engineer Summit. Coined the modern framing.
20 Advanced Context Engineering for Agents, (SF version) Dex Horthy. “No vibes allowed.” Research → plan → implement. Repo.
21 Agentic Search for Context Engineering Leonie Monigatti, Elastic @ AI Engineer event.
22 Context Engineering for Agents Lance Martin, LangChain. Canonical write/select/compress/isolate framing.

4. High-traffic YouTube tutorials

# Title Creator
23 Context Engineering: The End of Vibe Coding! Popular framing “100x better than vibe coding.”
24 Context Engineering 101 — Cole Medin + PRP template 185K+ subs. Introduces PRP (Product Requirements Prompt) as the artifact.
25 LLM Context Engineering Bootcamp Lecture 1 Free lecture series, March 2026.
26 Context Engineering Clearly Explained High-view explainer.

5. Executive / university

# Title Org
27 AI for Business + Prompt Power: Six Tactics Wharton Exec Ed
28 Harnessing AI for Breakthrough Innovation Stanford GSB
29 Stanford HAI Professional Education Stanford HAI

Common patterns across the landscape

  1. The “prompt → context” framing is universal. Nearly every offering opens with a contrast: “prompt engineering is writing inside the window; context engineering is deciding what fills the window.” Wharton’s phrasing for non-techs: “natural language programming.”
  2. Same four-pillar taxonomy. Lance Martin’s Write / Select / Compress / Isolate has been adopted everywhere. Anthropic adds “context rot” and “smallest set of high-signal tokens.”
  3. Cold-open hooks are consistent. Most start with a “vibe coding fails at scale” horror story. Dex Horthy’s “No vibes allowed” is canonical; Cole Medin’s “End of vibe coding” follows the template.
  4. The recurring artifact: the spec / PRP. Cole Medin’s PRP (Product Requirements Prompt), Dex Horthy’s research file + implementation plan, Berryman’s spec-first approach — all converge on “write a structured plan document before you let the model code.” Most-taught hands-on exercise.
  5. Hands-on labs mostly assume coding. Nearly every paid offering uses Jupyter, Claude Code, LangGraph, Python. Non-developer-friendly versions (Andrew Ng, IBM, Wharton) drop down to ChatGPT/Claude UI exercises — but they don’t really teach context engineering; they teach prompt patterns.
  6. Standard module skeleton: (a) why prompting alone fails, (b) what is context / context window, (c) the 4 strategies, (d) tools & MCP, (e) memory & RAG, (f) evals, (g) hands-on build.
  7. Terms-of-art: “context rot,” “context explosion,” “intentional compaction” — all quoted across talks; great tagline material.

What’s missing — where our webinar can differentiate

  1. Truly mixed-audience offerings are rare. Binary split: “Andrew Ng / Wharton” tier (consumer-friendly, stops at prompt tips) vs. “Maven / AI Engineer Summit” tier (great material, assumes Python and agents). Nobody is teaching real context engineering — windows, memory, retrieval, compaction — to a curious-generalist + intermediate-user audience.
  2. Few offerings teach context as a mental model rather than a toolkit. Almost all existing material is either philosophy (Anthropic blog) or code (LangGraph notebooks). A workshop that gives a durable mental model usable in ChatGPT, Claude, Cursor without code would be novel.
  3. Almost everything is agent-centric. “Context engineering” has been hijacked by the agents/coding-agents crowd. Everyday users doing research, writing, analysis with ChatGPT/Claude rarely see this material applied to their workflows. Big gap.
  4. No one teaches debugging context. Live “look at this failing prompt, diagnose what’s wrong with the context” demos are nearly absent. High-value for intermediate users.
  5. Underused: evaluation literacy for non-engineers. Vellum/Humanloop have evals tooling but their webinars target devs. Teaching curious users to notice when context-engineering helps (via simple A/B comparisons) is unfilled.
  6. The “vibe coding” hook is overused. A fresh opening that doesn’t lean on the coding-agent meme would stand out — e.g., a real-world non-coding failure case (research synthesis, doc Q&A, analysis).
  7. 60–90 min slot is unusual. Maven Lightning Lessons (~1 hr) are closest, but they’re tied to a paid funnel. SwirlAI’s free 45-min is the closest analog. There’s room for a stand-alone mixed-audience webinar that isn’t a course upsell.

Key URLs for further investigation