A gamified, beginner-first mastery course that takes accomplished professionals (50+, ChatGPT-curious, AI-cautious) from zero to confidently building, deploying, and monetizing Claude AI agents — without writing production code or pretending to be 25.
I audited Anthropic Academy and Google Skills Boost. Both are excellent. Both miss the same person: the 50-something executive, owner, or specialist who has 30 years of judgment, $0 of agent-building experience, and a very small tolerance for "just install Node.js."
Every pedagogical decision in this course was filtered through one composite avatar. We never design for "everyone." We design for them.
Anthropic's official AI Fluency course teaches a 4D model: Delegation, Description, Discernment, Diligence. It's elegant — and it stops at using AI. We add a fifth D: Deployment. Because AaaS isn't about prompting. It's about shipping.
Choose what work an agent should own vs. what stays human. The hardest skill — and the most overlooked. We teach a "delegation matrix" weighted by judgment, risk, and frequency.
Write the role, the task, the format, the boundaries. We use the TAG and RTF frameworks — proven at RCKCGROUP government workshops — and translate them into agent system prompts.
Spot the hallucination, the missing context, the right answer for the wrong reason. Students learn to grade agent outputs the way an editor grades copy.
Ethics, privacy, citation, error rates, the human-in-the-loop checkpoint. We borrow Anthropic's safety lens and add SOC 2 / HIPAA-adjacent realism for regulated industries.
The 5th D. Take the agent live — Claude.ai Project, custom GPT-style packaging, MCP integration, or full API deployment. Then build the offer: who pays for this, how much, on what cadence. This is where 90% of AI courses end. It's where ours starts paying off.
These are the rules I'd want a course built for me — and built by an instructional designer who actually cared about completion, not just enrollment — to follow.
Every example is a healthcare director, a real estate broker, a CPA, a nonprofit ED — never a software startup founder.
An MCP server is "a USB port for Claude." A subagent is "a specialist on retainer." Concept lands first, code follows.
22-minute videos. One concept. One built artifact. End every lesson with "you now have X" — never "you now know X."
XP, levels, and badges — but framed as professional milestones, not arcade points. "Certified Agent Architect" beats "Level 7."
Live weekly office hours. Slack/Discord with peer accountability. Solves the <5% self-paced completion problem head-on.
Every module in EN and ES. Hispanic professional market is underserved and high-trust — the moat almost no one is building.
Module 1 isn't "what is an LLM." It's "what could you sell with one." Skill follows opportunity, not the other way around.
Skills, Subagents, Cowork, MCP, Claude Code — the frontier features Anthropic shipped in the last 6 months. Updated quarterly, no exceptions.
Tap any module to expand. Each one ends with a Quest — a real deliverable students complete before unlocking the next. No quest, no progress.
No cartoon mascots. No "you're on fire!" notifications at 11pm. Just a structured progression system that maps neatly to professional credibility — the way a pilot logs hours, a CPA logs CPE credits, or a black belt earns stripes.
Each module quest unlocks a verified badge. Display them on your LinkedIn or your client proposals.
Optional. Some people thrive on it, others ignore it. Both groups complete more than solo learners.
Groups of 4 students assigned at week 1. Weekly 30-min check-ins. The single biggest completion driver.
Every Thursday with Richard. Recorded for off-hours review. Ask anything. Stuck-on-a-prompt is the most common topic.
Capstone demos in front of the cohort. Three winners get featured + a 30-min consult with Richard.
I respect what Anthropic Academy and Google Skills are doing. They're building for engineers and cloud customers. We're building for the underserved 50+ professional with a business to leverage.
| Dimension | Anthropic Academy | Google Skills | AaaS by RCKCGROUP |
|---|---|---|---|
| Target audience | Developers, AI practitioners | Cloud engineers, partners | Non-technical 50+ professionals |
| Pedagogy | Self-paced video | Self-paced labs | Cohort-based hybrid (live + on-demand) |
| Completion rate (industry avg) | ~5% | ~5% | ~90% target (cohort effect) |
| Business outcomes | Implicit | Implicit | Explicit — packaged, priced offer by week 12 |
| Bilingual EN/ES | EN only | EN only | Native EN + ES, culturally adapted |
| Frontier features (Skills, MCP, Subagents, Cowork) | Yes — module per topic | Limited — Vertex AI focus | Yes — woven into business use cases |
| Credential | Certificate of completion | Skill badges & certifications | "Certified Agent Architect" + showcase |
| Price | Free | Free / paid tracks | Premium — cohort-based, instructor-led (worth it) |
A course about packaging AI services should, itself, model great packaging. Here's how I'd structure the offer to RCKCGROUP's market.
This is the actual feel of a Module 2 micro-lesson. Read the analogy, write a prompt, and the lesson engine will give you targeted feedback. No login required.
Imagine you walk into a restaurant and tell the server: "I want food." They will, technically, bring you food. It might be steak. It might be ice cream. It might be both. The ambiguity is your fault, not theirs.
Most people prompt Claude exactly like that. They ask for "marketing copy" or "a summary" and then complain when the output isn't what they wanted. The agent gave you food. You didn't specify the meal.
A great prompt is a great restaurant order: protein, preparation, sides, dietary constraints, and serving size. Skip any one and you're rolling dice.
Here's the formula we'll use for the rest of the course — the RTF framework:
Bad prompt: "summarize this report for me"
→ In the real course, this lesson ends with a downloadable RTF cheat-sheet, 5 worked examples in your industry, and a quest that asks you to rewrite three of your own prompts before the next lesson unlocks.
This document is the architecture. The next step is to go build the course itself — the videos, the quest infrastructure, the cohort platform, the capstone showcase. I'm ready when you are, Richard.