fix: Add capstone links to course table in README (Refs PMAT-001)

Every course row now links to its capstone project markdown file.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

Author: noahgift

README.md

@@ -10,28 +10,28 @@ agents and multi-modal programming to serverless multi-model architectures.
 
 ## Courses
 
-| # | Course | Focus |
-|---|--------|-------|
-| 1 | **Generative AI and Foundation Models on AWS** | Tokenization, RAG, Bedrock, llama.cpp, SageMaker Canvas |
-| 2 | **Intelligent Applications with Amazon Bedrock** | Bedrock console, Claude, Dracula pattern, knowledge bases, agents |
-| 3 | **Prompt Architecture and NLP on Amazon Bedrock** | Token lifecycle, prompt-as-code, chain-of-thought, Ollama bridge |
-| 4 | **AI Orchestration: From Local Models to Cloud** | Prompt pyramid, caching, Ollama, llamafile, GPU computing, Spot |
-| 5 | **Enterprise AIOps and Amazon Q Business** | Q Business, CloudShell, cost control, MLOps, RAG workflows |
-| 6 | **AI Security and Governance on AWS** | Guardrails, CloudTrail, auth patterns, SageMaker Clarify, Rust |
-| 7 | **AI-Powered Analytics and Performance Engineering** | Lambda, Rust, Amazon Q, CodeCatalyst, benchmarking |
-| 8 | **CLI Automation with Amazon Q and CloudShell** | Q CLI, Docker, CDK, Lambda, ECR, infrastructure as code |
-| 9 | **Deterministic LLM Programming and Quality Metrics** | Code quality, AST analysis, technical debt, PMAT, Elo ratings |
-| 10 | **Agentic AI: Actor Models and Subagent Architecture** | Actix, Rust, Go, Deno, supervision trees, subagents |
-| 11 | **AI-Assisted Debugging and Test-Driven Fixes** | AI debugging, TDD, logging, context gathering, bug discovery |
-| 12 | **Multi-Modal AI: Screenshots to Production Code** | Copilot, screenshot-to-code, Playwright, MCP, visual programming |
-| 13 | **Privacy-Conscious Development with AI Assistants** | GitHub Advanced Security, Dependabot, Grype, secure prompting |
-| 14 | **AI-Powered Data Pipelines with Deno** | Deno tasks, pre-commit hooks, quality gates, pipeline automation |
-| 15 | **Building Deterministic MCP Agents** | MCP, property testing, fuzz testing, FSM, Toyota Way |
-| 16 | **Conversational Bot Architecture with Rust and Deno** | Tokio, async runtime, memory safety, Discord, Bedrock |
-| 17 | **AI Code Review Automation with GitHub Actions** | Actions, code review, LLM prompting, GitHub Marketplace |
-| 18 | **LLM Security: Vulnerabilities and Defense Patterns** | Prompt injection, model theft, information disclosure, plugin security |
-| 19 | **Build a Production SaaS Application with AI** | API design, Docker, GitHub Pages, test harnesses, MVP |
-| 20 | **AI Engineering Capstone: Serverless Multi-Model Systems** | Cargo Lambda, Bedrock routing, YAML prompts, production deployment |
+| # | Course | Focus | Capstone |
+|---|--------|-------|----------|
+| 1 | **Generative AI and Foundation Models on AWS** | Tokenization, RAG, Bedrock, llama.cpp, SageMaker Canvas | [Capstone](capstones/c01-capstone.md) |
+| 2 | **Intelligent Applications with Amazon Bedrock** | Bedrock console, Claude, Dracula pattern, knowledge bases, agents | [Capstone](capstones/c02-capstone.md) |
+| 3 | **Prompt Architecture and NLP on Amazon Bedrock** | Token lifecycle, prompt-as-code, chain-of-thought, Ollama bridge | [Capstone](capstones/c03-capstone.md) |
+| 4 | **AI Orchestration: From Local Models to Cloud** | Prompt pyramid, caching, Ollama, llamafile, GPU computing, Spot | [Capstone](capstones/c04-capstone.md) |
+| 5 | **Enterprise AIOps and Amazon Q Business** | Q Business, CloudShell, cost control, MLOps, RAG workflows | [Capstone](capstones/c05-capstone.md) |
+| 6 | **AI Security and Governance on AWS** | Guardrails, CloudTrail, auth patterns, SageMaker Clarify, Rust | [Capstone](capstones/c06-capstone.md) |
+| 7 | **AI-Powered Analytics and Performance Engineering** | Lambda, Rust, Amazon Q, CodeCatalyst, benchmarking | [Capstone](capstones/c07-capstone.md) |
+| 8 | **CLI Automation with Amazon Q and CloudShell** | Q CLI, Docker, CDK, Lambda, ECR, infrastructure as code | [Capstone](capstones/c08-capstone.md) |
+| 9 | **Deterministic LLM Programming and Quality Metrics** | Code quality, AST analysis, technical debt, PMAT, Elo ratings | [Capstone](capstones/c09-capstone.md) |
+| 10 | **Agentic AI: Actor Models and Subagent Architecture** | Actix, Rust, Go, Deno, supervision trees, subagents | [Capstone](capstones/c10-capstone.md) |
+| 11 | **AI-Assisted Debugging and Test-Driven Fixes** | AI debugging, TDD, logging, context gathering, bug discovery | [Capstone](capstones/c11-capstone.md) |
+| 12 | **Multi-Modal AI: Screenshots to Production Code** | Copilot, screenshot-to-code, Playwright, MCP, visual programming | [Capstone](capstones/c12-capstone.md) |
+| 13 | **Privacy-Conscious Development with AI Assistants** | GitHub Advanced Security, Dependabot, Grype, secure prompting | [Capstone](capstones/c13-capstone.md) |
+| 14 | **AI-Powered Data Pipelines with Deno** | Deno tasks, pre-commit hooks, quality gates, pipeline automation | [Capstone](capstones/c14-capstone.md) |
+| 15 | **Building Deterministic MCP Agents** | MCP, property testing, fuzz testing, FSM, Toyota Way | [Capstone](capstones/c15-capstone.md) |
+| 16 | **Conversational Bot Architecture with Rust and Deno** | Tokio, async runtime, memory safety, Discord, Bedrock | [Capstone](capstones/c16-capstone.md) |
+| 17 | **AI Code Review Automation with GitHub Actions** | Actions, code review, LLM prompting, GitHub Marketplace | [Capstone](capstones/c17-capstone.md) |
+| 18 | **LLM Security: Vulnerabilities and Defense Patterns** | Prompt injection, model theft, information disclosure, plugin security | [Capstone](capstones/c18-capstone.md) |
+| 19 | **Build a Production SaaS Application with AI** | API design, Docker, GitHub Pages, test harnesses, MVP | [Capstone](capstones/c19-capstone.md) |
+| 20 | **AI Engineering Capstone: Serverless Multi-Model Systems** | Cargo Lambda, Bedrock routing, YAML prompts, production deployment | [Capstone](capstones/c20-capstone.md) |
 
 ## Installation