📁 AI Content Structure Overview
📁 AI Content Structure Overview
Section titled “📁 AI Content Structure Overview”Location:
dsa-docs/src/content/docs/ai/Total Files: ~190 files across 10 Phases
📂 Directory Tree
Section titled “📂 Directory Tree”ai/├── 📄 index.md│├── 📂 phase-01-fundamentals/ (15 files)│ ├── history-of-ai.md│ ├── types-of-ai.md│ ├── what-is-ai.md│ ├── ai-ethics-and-bias.md│ ├── ai-vs-ml-vs-dl.md│ ├── ... (15 files total)│├── 📂 phase-02-machine-learning/ (17 files)│ ├── ml-workflow.md│ ├── supervised-learning.md│ ├── unsupervised-learning.md│ ├── reinforcement-learning.md│ ├── model-evaluation.md│ ├── ... (17 files total)│├── 📂 phase-03-deep-learning/ (20 files)│ ├── neural-networks.md│ ├── backpropagation.md│ ├── cnns.md│ ├── rnns-and-lstms.md│ ├── transformers.md│ ├── ... (20 files total)│├── 📂 phase-04-large-language-models/ (30 files)│ ├── llm-architecture.md│ ├── tokenization.md│ ├── attention-mechanisms.md│ ├── rlhf.md│ ├── dpo.md│ ├── ... (30 files total)│├── 📂 phase-05-prompt-engineering/ (25 files)│ ├── prompt-anatomy.md│ ├── chain-of-thought.md│ ├── react-pattern.md│ ├── prompt-security.md│ ├── ... (25 files total)│├── 📂 phase-06-ai-agents/ (15 files)│ ├── agent-architecture.md│ ├── tool-usage.md│ ├── langgraph.md│ ├── crewai.md│ ├── ... (15 files total)│├── 📂 phase-07-mcp/ (15 files)│ ├── mcp-architecture.md│ ├── mcp-servers.md│ ├── mcp-clients.md│ ├── ... (15 files total)│├── 📂 phase-08-retrieval-systems/ (25 files)│ ├── embeddings.md│ ├── vector-databases.md│ ├── rag-architecture.md│ ├── chunking-strategies.md│ ├── hybrid-search.md│ ├── ... (25 files total)│├── 📂 phase-09-production-ai/ (13 files)│ ├── llmops.md│ ├── guardrails.md│ ├── observability.md│ ├── ... (13 files total)│└── 📂 phase-10-ai-projects/ (15 files) ├── chatgpt-clone.md ├── perplexity-clone.md ├── ai-assistant.md ├── ... (15 files total)📜 Phase Summary
Section titled “📜 Phase Summary”| Phase | Topic | Files | Key Concepts |
|---|---|---|---|
| 01 | Fundamentals | 15 | History, types, ethics, life cycle |
| 02 | Machine Learning | 17 | ML workflow, supervised/unsupervised/reinforcement, evaluation |
| 03 | Deep Learning | 20 | Neural networks, backpropagation, CNNs, RNNs, LSTMs, transformers |
| 04 | Large Language Models | 30 | LLM architecture, tokenization, attention, RLHF, DPO, inference |
| 05 | Prompt Engineering | 25 | Prompt anatomy, CoT, ReAct, testing, versioning, security |
| 06 | AI Agents | 15 | Agent cycles, planning, memory, tools, LangGraph, CrewAI |
| 07 | MCP | 15 | Model Context Protocol, servers, clients, tools |
| 08 | Retrieval Systems | 25 | Embeddings, vector DBs, RAG, chunking, hybrid search |
| 09 | Production AI | 13 | LLMOps, observability, guardrails, deployment |
| 10 | AI Projects | 15 | ChatGPT clone, Perplexity clone, AI assistants |
File Count: ~190 files | Created: July 3, 2026