AI Engineering Training

Five role-based learning paths across AI, data, platform, product, and foundations

607
Topics
5
Paths
20
Categories
95
Subsections
● Beginner ●● Intermediate ●●● Advanced
Path 01

AI Engineer

Build AI-powered products: foundations, training, RAG, agents, and evaluation.

1. AI & Machine Learning Foundations

37 topics

1.1 Transformer Architecture & Attention

● Transformer Architecture ● Self-Attention Mechanism ● Context Length & Window Limits

1.2 Model Architecture & Scaling

● Mixture of Experts (MoE) Architecture ● Distillation & Knowledge Transfer ● Speculative Decoding ●●● Tiny Recursive Models for Iterative Reasoning ●●● Attention Residuals for Depth-Wise Transformer Aggregation

1.3 Training Paradigms

● Instruction Tuning ● RLHF (Reinforcement Learning from Human Feedback) ● Fine-tuning vs Prompting ● In-context Learning ●● Scheduled Sampling for Sequence Prediction ●●● Self-Flow for Multimodal Generative Training ●●● Bayesian Teaching for Belief Updates ●●● Rule-Based Reinforcement Learning for LLM Reasoning

1.4 Model Optimization & Efficient Architectures

● Feed-Forward Layers in Transformers ●● Sparse Upcycling (Dense-to-MoE Conversion) ●●● ToMoE: Discovering Latent Experts in Dense Models ●● Neural Network Pruning ●● Simulated Annealing for Model & System Optimization ● Open-Weight Models & the Open-Weights Ecosystem ●● GLiNER: Generalist Zero-Shot NER ● Weight Representations: Dense vs Sparse vs Quantized vs Pruned ●●● KV-Cache Compression with Trigonometric Scoring (TriAttention) ●● Hierarchical Codebook Image Classification ●●● Attention Matching for KV-Cache Compaction ●●● RotorQuant KV-Cache Quantization ●●● Chunk-Based Attention Skipping for LLM Inference

1.5 Sampling & Decoding Parameters

● Temperature ● Top-k Sampling ● Top-p (Nucleus Sampling) ●●● Sequence-Aware Repetition Suppression

1.6 Voice & Multimodal AI

●●● Speech-to-Speech Models & Voice Agents ●●● Multimodal Model Integration (Vision + Language + Audio) ●●● Real-Time Translation & Multilingual AI ●●● Feedforward Monocular View Synthesis with 3D Gaussians

2. ML Training & Fine-Tuning

14 topics

2.1 Parameter-Efficient Methods

●● LoRA (Low-Rank Adaptation) ●● QLoRA (Quantized LoRA) ●● DoRA (Weight-Decomposed Low-Rank Adaptation) ●●● PiSSA: SVD-Initialized Low-Rank Adaptation

2.2 Preference Optimization

●● DPO (Direct Preference Optimization) ●● ORPO (Odds-Ratio Preference Optimization) ●● Spectrum Fine-Tuning

2.3 Fine-Tuning Strategy & Toolchains

●● When to Fine-Tune vs Prompt vs RAG ●● Fine-Tuning Data Preparation & Curation ●● Fine-Tuning Toolchains (Unsloth, Axolotl, LLaMA-Factory) ●●● Self-Distillation Fine-Tuning for Continual Learning ●●● Apple Silicon Retrieval Fine-Tuning with MLX ●●● GIST Data Subset Selection ●●● Domain-Specific Embedding Fine-Tuning Pipeline

3. Computation Graphs & ML Infrastructure

39 topics

3.1 Hardware Acceleration

●●● SIMD (Single Instruction, Multiple Data) ●●● SME (Scalable Matrix Extension) ●●● GPU Selection & VRAM Budgeting ●●● Multi-GPU Parallelism (Tensor, Pipeline, Data) ●●● SIMD-Backed String Data Structures ●●● Portable SIMD Dispatch in Go ●●● Porting x86 Movemask Algorithms to Arm NEON ●●● SWAR Byte-Parallel Hash Table Lookups ●●● SIMD-Friendly Substring Search ●●● SIMD Dot-Product Kernels for Quantized Embeddings ●●● Apple Neural Engine Direct Graph Execution ●●● SIMD-Accelerated Regex DFA Scanning ●●● BitNet Ternary LLM Inference ●●● IO-Aware GPU K-Means Kernels

3.2 Compiler & Runtime Frameworks

●●● ONNX (Open Neural Network Exchange) ●●● XLA (Accelerated Linear Algebra) ●●● Edge Deployment (llama.cpp, MLX, MLC-LLM) ●●● MPSGraph Training Runtime in Go ●●● PJRT Hardware Plugin Interface ●●● RAM-Centric Layer Streaming for LLM Training ●●● Go-Native ML Frameworks with XLA Backends ●●● ONNX-to-XLA Graph Bridging in Go ●●● AOT Compilation for Classical ML Inference ●●● NVMe-Aware Tensor Streaming for Local LLM Inference

3.3 Graph IR & Autodiff

●●● Tracing Graph IR with Compiler Pass Pipeline ●●● Capability-Based Backend Partitioning & Graph Cache ●●● Expression Graph Autodiff in Go

3.4 Local Inference & Model Serving

●●● Local ONNX Runtime Inference in Go/Zig ●● AI Provider Multi-Model Configuration ●● Ollama Local Model Serving ●● Google Generative AI (Gemini) SDK Integration

3.5 Adapter & Quantization Pipelines

●●● Go PEFT Adapter Manager & Hot-Swapping ●●● NF4/Int4 Quantization Pipeline for QLoRA in Go ●●● Model Registry Puller & Embedding Index Lifecycle

3.6 ML Model Serving at Scale

●●● Multi-Backend ML Inference Engine ●●● Model-Aware Load Balancing & Circuit Breakers ●●● Lazy Model Loading with Reference Counting ●●● Topology-Aware Distributed LLM Inference ●●● Schema-Driven ML Model Containers

4. Data Engineering & Processing

39 topics

4.1 Data Types & Ingestion

● Structured vs Unstructured Data ● Scraping & Remote Content ● Document Parsing (PDF/HTML/DOCX) ● Optical Character Recognition (OCR) ● Metadata Extraction & Enrichment ● Data Normalization & Deduplication ● PII Detection & Redaction

4.2 Tokenization & Chunking

● Tokenizers ● Fixed-size Chunking ● Semantic Chunking ● Recursive Chunking

4.3 Embeddings & Multimodal Input

● Embeddings ● Multimodal Inputs ● Multiturn Chat & Conversation State ●● ObjectRef Multimodal Data Tables

4.4 Document Processing Pipelines

●●● PDF Parsing & Rendering in Go/Zig ●●● Image Format Processing (JPEG, PNG, GIF, CCITT) ●● Multi-Source Content Processor ●● HTTP-Aware Content Cache ●●● PDF Layout Analyzer & Column Detection ●● Question Extraction from MDX and OpenAPI ●● Colly WebSource Crawl Controls ● Fallback OCR Reader Pipeline ●●● Website Crawling & Content Extraction ●●● Documentation Ingestion Pipeline ●●● Layout-Aware Document Classification ●●● Layout-Aware OCR Pipelines

4.5 Specialized Document Formats

●● GEO HTML/Markdown Structural Analyzer ●● File-Based Style Guides & Recency-Sorted Examples ●●● JPEG2000 Codestream & Tile Decoder ●●● Lifting-Based Wavelet & Color Reconstruction ●●● EBCOT Tier-1 & MQ Arithmetic Decoder

4.6 Content Extraction & CRM Processing

●● CRM Markdown Data Lake & Summary Index ● Sales Style Guides & Prompt Templates ●●● Google Meet Transcript Harvesting & LLM Summaries ●● Multi-Format Content Extraction Pipeline ●● Audio & Video Transcription Pipeline ●● Source-Grounded LLM Information Extraction ●● Caption-Based Video Semantic Search Pipeline

5. Embeddings & Vector Search

28 topics

5.1 Vector Database Fundamentals

●● Vector Database Fundamentals ●● AKNN (Approximate K-Nearest Neighbors)

5.2 ANN Algorithms & Data Structures

●●● RaBitQ Vector Quantization ●●● Hilbert Space-Filling Curves ●●● Sparse Vectors & SPLADE ●●● Hierarchical Balanced Clustering (HBC) ●●● MRPT (Multi-Rotation Projection Trees) for ANN ●●● SPFresh: Incremental In-Place Vector Index Updates ●●● ScaNN: Partitioned MIPS with Anisotropic Quantization ●●● C-SPANN: Real-Time Vector Indexing for Distributed SQL ●●● HNSW-IF: Hybrid Graph and Inverted-File Vector Search ●●● SPANN: Disk-Resident Partitioned ANN Search ●●● TurboQuant Online Vector Quantization

5.3 Embedding Models & Projection

●● Embedder Capability Registry ●● PCA-Based Embedding Projection Engine ●●● Multi-Modal Embeddings (Text + Image) ●●● Single-Vector Embedding Retrieval Limits ●●● Code Embeddings for Repository Retrieval ●●● Multimodal Embedding Fine-Tuning

5.4 Vector Database Integration

●● Chroma Vector Database Integration ●● Hybrid Search with Entity Graph Expansion ●● Pinecone Namespace Export with Zero-Vector Queries ●● Batch Upsert & Index Provisioning Patterns ●●● Image Features Pipeline ●●● Client-Side CLIP Visual Search Bridge ●● Database-Managed Embedding Refresh ●● In-Memory Vector Retrieval for Small RAG Systems

5.5 HNSW Graphs

●●● HNSW (Hierarchical Navigable Small World) Graphs

6. Retrieval-Augmented Generation

30 topics

6.1 RAG Architecture & Patterns

●● RAG (Retrieval-Augmented Generation) ●● RAG Latency Tradeoffs ●● CAG (Cache-Augmented Generation) ●● KV Cache Architecture ●●● Vectorless Tree-Search RAG ●●● Hybrid MCP and RAG Data Access ●● Extractive QA Reader Models ●●● Semantic Context Pruning for RAG

6.2 Knowledge Graphs & GraphRAG

●● Knowledge Graphs ●● NER & Entity Linking ●● Ontologies ●● GraphRAG ●● Relation Extraction for Knowledge Graphs

6.3 Context Engineering

●● Prompt Engineering ●● Context Engineering ●● System Prompts ●● Few-shot & Zero-shot Learning ●● Chain-of-Thought (CoT) Prompting ●● Retrieval-Augmented Prompting Patterns ●● Context Rot (Catastrophic Context Collapse) ●● Token Budgeting ●● Prompt Compression (LLMLingua) ●● Pruners ●● Long-Context Window Management (100K-1M+ tokens) ●● Prompt Versioning & Management ●● Repository Steering Files for Coding Agents ●● Agent Skills as Progressive Context Packages ●● LLM-Friendly Documentation Exports ●● Schema-Backed Prompt Files ●● Declarative Context Construction Pipelines

7. Agentic AI Systems

67 topics

7.1 Agent Orchestration Patterns

●●● ReAct (Reasoning and Acting) Pattern ●●● Planning & Task Decomposition ●●● Reflection & Self-critique ●●● Tool Use & Function Calling ●●● Multi-Agent Orchestration ●●● Human-in-the-Loop Design ●●● Frameworks: Genkit, LangGraph, CrewAI ●●● Agentic Search ●●● Large-Codebase Coding Agent Scaffolding ●●● Self-Editing Search Agents ●●● Durable Agent Control Flow ●●● Spec-Driven Agentic Development ●●● Quantitative Agent Architecture Selection ●●● Verified DSL Code Generation for Regulated Workflows ●●● Reinforcement-Learned Search Agents ●●● Frequent Intentional Compaction for Coding Agents ●●● Metric-Gated Autonomous Experiment Loops ●●● Agent Hypervisor Runtime Orchestration ●●● Context-Isolated Coding Subagents ●●● Verifier-Guided Parallel Agent Teams ●●● Decoupled Agent Runtime Interfaces ●●● Span-Based Reinforcement Learning for Agents ●●● AST-Aware Code Search for Coding Agents

7.2 Agent Safety & Governance

●●● Agent Sandboxing & Code Execution Environments ●●● Agent Error Recovery & Self-Healing ●●● Agent Permissions & Authorization Models ●●● Code Mode Dynamic Worker Sandboxes

7.3 Agent Memory Systems

●●● Working Memory (Short-term) ●●● Episodic Memory (Long-term) ●●● Semantic Memory (Long-term) ●●● Procedural Memory ●●● Memory Distillation Pipeline ●●● Deduplication & Conflict Resolution ●●● Distillation Policy & Gating

7.4 Agent Memory Infrastructure

●● MCP Server for Persistent Agent Memory ●● Reciprocal Rank Fusion (RRF) for Hybrid Search ●● Namespace-Provisioned Memory Tables & Indexes ●● Task-Queue-Powered Entity Graph Linking ●● LLM-Maintained Markdown Knowledge Bases ●●● Code Graph Context for Coding Agents ●●● Filesystem-Based Knowledge Agents ●●● Temporal Context Graphs for Agent Memory ●●● Memory Scaling Infrastructure for AI Agents ●●● On-Demand Chat History Retrieval ●●● Content-Addressed Agent Memory Stores

7.5 AI Agent Applications

●●● Agent-to-Agent (A2A) Framework for Database Queries ●●● Chat Agent with Multi-Turn Conversational Memory ●●● Natural Language to Query Translation Agent ●● Building a Genkit Retriever Plugin ●●● LLM Function Calling & Tool Use Patterns ●● LangChain Go for LLM Applications ●● Agent Tool Selection & Sequence Auditing ●● SSE MCP Server for GEO Analytics ●● Format-Aware Prompt Builder ●● Graph-Based Sales Workflow DSL ●● Human-in-the-Loop Outreach Queue ●● MCP Tooling for Markdown CRM ●●● Cron-Driven Workflow Scheduler & Resumable DAG ●● Anthropic-Powered Outreach Variant Generator ●●● Answer Agent with Query Classification ●● Dual-Mode MCP Reverse Proxy ●● Role-Scoped Agent Mesh ●● Discord & Cron Agent Automations ●● Dockerized Agent Gateway + Agent Platform Stack ●●● AI App Builder Runtime Architecture ●●● Validated Vulnerability Repair Agents ●●● Computer-Use Browser Agent Loops

8. AI Evaluation & Safety

32 topics

8.1 RAG Evaluation

●●● Test Dataset Generators ●●● RAGAS Framework ●●● Context Precision ●●● Context Recall ●●● Faithfulness & Groundedness ●●● Heterogeneous Retrieval Benchmarks

8.2 LLM Evaluation Methods

●● Embeddable Go Evaluation Runner ●●● Genkit LLM Judge Prompts ●● Citation & Coverage Validators ●● Metadata-Driven Retrieval Metrics Harness ●●● Memory-Aligned LLM Judges ●●● Long-Horizon Competitive Agent Benchmarks ●●● Human-Calibrated LLM Relevance Labeling ●●● Abstention-Aware Knowledge Reliability Benchmarks ●●● Error Incoherence Evaluation ●●● LLM-as-Judge Evaluation

8.3 Security & Adversarial Testing

●●● Guardrails & Output Validation ●●● Prompt Injection & Jailbreak Awareness ●●● Red Teaming & Adversarial Testing ●●● OWASP LLM Top 10 & Agentic Top 10 ●●● Responsible AI & Bias Auditing ●●● Persona Vectors for Model Behavior Monitoring ●●● Emergent Misalignment from Narrow Fine-Tuning ●●● Near-Constant Sample LLM Data Poisoning ●●● RAG Knowledge Base Poisoning

8.4 Testing Infrastructure

●● Playwright End-to-End Testing ●● Mock Service Worker (MSW) ●●● Digital Twin Scenario Validation for Coding Agents ●● Rate-Limited Evaluation Runner ●● YAML-Driven Evaluator Pipelines ●●● Deterministic Simulation Testing for Distributed Systems ●●● Jepsen-Style Fault Injection Testing

9. Metaheuristic Optimization

9 topics

9.1 Foundations

●● Metaheuristics: Overview & When to Use Them

9.2 Evolutionary Computation

●● Genetic Algorithms (GA) ●●● Evolution Strategies (ES & CMA-ES)

9.3 Trajectory-Based (Local Search) Methods

●● Tabu Search ●● Variable Neighborhood Search (VNS)

9.4 Swarm Intelligence

●● Particle Swarm Optimization (PSO) ●● Ant Colony Optimization (ACO)

9.5 Hybrid & Parallel Methods

●●● Hybrid & Memetic Algorithms ●●● Parallel & GPU-Accelerated Metaheuristics
Path 02

Database & Search Engineer

Storage engines, distributed consensus, indexing, and search systems.

10. Search Engineering

34 topics

10.1 Search Fundamentals

●● Semantic Search ●● Full-Text Search / BM25 / Bleve ●● Answerbar & Searchbar Paradigm ●● Facetting ●● Hybrid Search

10.2 Ranking & Fusion

●● RRF (Reciprocal Rank Fusion) ●● RSF (Relative Score Fusion) ●● Rerankers (Cross-encoders) ●●● LLM-Distilled Document Re-Ranking (DeAR) ●● Multi-Source Recommendation Retrieval and Ranking ●● Time-Decay Feed Ranking ●● Two-Tower Semantic Retrieval for Recommendations ●● Vector-Native Relevance Feedback ●●● Multimodal Rerankers for Visual Document Retrieval ●● Behavioral Event Instrumentation for Personalized Search ●●● Blockwise In-Context Ranking ●●● Instruction-Following Rerankers

10.3 Search Evaluation Metrics

●● Precision & Recall in Retrieval ●● MRR (Mean Reciprocal Rank) ●● NDCG (Normalized Discounted Cumulative Gain)

10.4 Advanced Search Infrastructure

●● Text Analysis Pipeline (Tokenization, Stemming, Stopwords) ●●● WAND & Block-Max WAND Scoring ●● Search Aggregations (Stats, Histograms, Geo) ●● Distance Metrics for Vector Search ●●● Graph Index & Knowledge Graph Queries ●● Index Enrichment Pipeline ●● Bleve Query Builder APIs ●● RAG Retrieval & Citation Evaluators ●● Bleve gRPC Remote Index Proxy ●●● PostgreSQL BM25 Index Extensions ●● Single-Document Search Matchers ●●● Object-Storage-Native Search Architecture ●●● Hyperscale Asynchronous Stream Indexing ●●● Segment File Layout for Embedded Search Indexes

11. Data Structures & Storage

11 topics

11.1 LSM Trees & Storage Engines

●● LSM-Trees & SSTables ●● RocksDB & Pebble ●● Write-Ahead Log (WAL) ●● Linear Merge Compaction ●●● Lock-Free Skiplists for Concurrent MemTables ●● B-Tree Storage Engines

11.2 Search Data Structures

●● Bloom Filters ●●● Finite State Transducers (FST) ●● Inverted Index Internals ●● Levenshtein Distance & Fuzzy Matching ●● DAG-Based Task Execution

12. Distributed Systems

37 topics

12.1 Consensus & Replication

●● Sharding, Autosharding & Autoscaling ●● 2PC (Two-Phase Commit) ●● Raft & Multi-Raft Consensus ●●● Raft Liveness Under Partial Partitions ●●● CASPaxos Logless State Replication

12.2 Cluster Management & Membership

●●● Gossip Protocol & Cluster Membership ●● Consistent Hashing for Data Partitioning ●●● SWIM Protocol for Cluster Membership

12.3 Replication & State Management

●●● Multi-Raft HTTP Transport ●●● Raft Membership Changes & Joint Consensus ●●● Chain Replication with Apportioned Queries (CRAQ) ●●● Data Replication Algorithm Selection ●●● Single-Leader, Multi-Leader, and Leaderless Replication ●●● Quorum Reads, Sloppy Quorums, and Hinted Handoff

12.4 Distributed Coordination

●●● Hybrid Logical Clocks (HLC) ●●● Optimistic Concurrency Control (OCC) ●● Byte-Range Shard Partitioning ●●● Linearizability, Causal Consistency, and Eventual Consistency ●●● Lamport Timestamps and Vector Clocks ●●● Fencing Tokens and Lease-Based Locking

12.5 Event-Driven & Job Processing

●● PostgreSQL-Backed Job Queues ●● Webhook Event Delivery & Retry ●● Cron-Based Job Scheduling Systems ●●● NATS JetStream Event-Driven Architecture ●● PostgreSQL Trigger-Based Real-Time Sync ●●● PostgreSQL-Backed Pub/Sub Logs ●●● Postgres-Backed Durable Workflow Execution ●●● MapReduce and Distributed Joins ●●● Change Data Capture (CDC) Architecture ●●● Exactly-Once Stream Processing ●●● Lambda and Kappa Architectures ●●● Apache Beam and Google Dataflow Unified Model ●●● Spark Structured Streaming Execution Modes ●●● Apache Flink Event-Time Processing and Watermarks ●●● Stream Processing Engine Selection

12.6 State Machine Replication

●●● State Machine Replication (SMR)

12.7 Snapshot & Recovery

●●● Snapshot & Recovery in Distributed Systems

13. Database Engineering

18 topics

13.1 Transaction & Concurrency Control

●●● MVCC (Multi-Version Concurrency Control) ●● TiDB Pessimistic Transactions with SELECT FOR UPDATE ●●● Snapshot Isolation and Serializable Snapshot Isolation

13.2 Query Processing & Indexing

●● Index Registry & Pluggable Index Architecture ●●● Distributed Query Execution ●●● Transaction-Safe External Search Indexes

13.3 Storage Engine Features

●● TTL (Time-To-Live) in Key-Value Stores ●● Device-Scoped Linear Merge Sync ●● Chunked Multi-Row Inserts via go-sqlbuilder ●●● Versioned Graph Tables on MySQL/TiDB ●●● Serverless Postgres Compute-Storage Separation ●●● Append-Only Cloud Database Storage Nodes

13.4 Database Tooling

●● Database Benchmarking Methodology ●● Database Migration Management (golang-migrate) ●● Embedded PostgreSQL for Development ●●● PostgreSQL Pooler Query Routing ●●● Copy-on-Write Database Branching ●● PostgreSQL Database Linting in CI
Path 03

Platform Engineer

Cloud infrastructure, observability, security, and operations at scale.

14. Cloud & Infrastructure

35 topics

14.1 Kubernetes & Operators

●●● Kubernetes Operator Architecture for Databases ●●● Metrics-Driven Data Node Autoscaler ●● Scheduled Backup CronJobs ●●● Declarative Database Schema Reconciliation ●● ConfigMap and Secret Reload Controllers ●●● Kubernetes Node Readiness Controllers

14.2 Cloud Services & Access Control

●● S3-Compatible Object Storage (MinIO) ●●● Google IAP (Identity-Aware Proxy) ●● Connect Gateway Access for Autopilot CI/CD ●●● External Secrets Operator with Scoped Workload Identity ●● Per-Project Cloudflare DNS Automation ●● Appendable Object Storage with Offset Writes

14.3 Infrastructure as Code

●● Pulumi Go SDK for Cloud Infrastructure ●● GKE Autopilot Cluster Provisioning ●●● Workload Identity Federation ●● External Secrets Operator (ESO) ●● Cloud SQL Managed PostgreSQL with PITR ●● VPC Network Design with Cloud NAT ●● Kustomize Bases and Overlays

14.4 Container & Network Security

●● Binary Authorization & Container Image Signing ●● Cloud Armor WAF & DDoS Protection ●● Identity-Aware Proxy (IAP) for Secure Access ●● Graph-Based Cloud Attack Path Analysis ●●● AI Agent Runtime Telemetry

14.5 CI/CD & Deployment

●● GitHub Actions Runner Controller (ARC) on Kubernetes ●● Tag-Based Deployment Pipeline ●● Local CI Workflow Emulation with Containerized Runners

14.6 DevOps Tooling

●● Cross-Platform Binary Distribution & Caching ●●● Kaniko Build Controller with Git-Clone Init Containers ●● Pattern-Based Git Trigger Engine & Poller ● Database Binary Download & Health Automation ●● Docker Compose Multi-Service Orchestration ●● Fsnotify Debounced Watch Service ●● Agent Runtime Sync Automation ●● Named Localhost Proxies for Development

15. Observability & Operations

18 topics

15.1 Tracing & Cost Monitoring

●●● LLM Tracing & Observability ●●● Cost & Latency Monitoring

15.2 LLMOps & Inference Serving

●●● Inference Serving Engines (vLLM, TGI, TensorRT-LLM) ●●● Model Routing & LLM Gateways ●●● Continuous Batching & Request Scheduling ●●● KV Cache Management & Optimization ●●● Prompt Caching at Infrastructure Level ●●● Token Economics & FinOps for AI ●●● Model Quantization for Deployment (GPTQ, AWQ, GGUF, FP8) ●●● A/B Testing & Gradual Rollouts for LLM Systems

15.3 Metrics & Logging

●● Prometheus Metrics Implementation ● Structured Logging with Zap ●● Audit Logging for SaaS ●● Usage Tracking & Metering ●●● AI Engine Brand Mention Monitoring Pipeline ●● Response Writer Interception for Usage Metering ●● Datadog APM Across AWS, Redis, and Postgres

15.4 Alerting & Incident Response

●● Cloud Monitoring Alert Pipeline

16. Authentication & Authorization

11 topics

16.1 Authentication & Authorization

●●● RBAC with Policy Engines (Casbin) ●●● OIDC Provider Implementation ●●● OAuth 2.0 Provider Implementation ●● Scoped API Key Design with AES-256-GCM ●● TOTP Two-Factor Authentication ●● API Key Authentication & Encryption ●●● Cosign Container Image Signing ●● Regex-Based Prompt Injection & Safety Tests ● Cloudflare Tunnel Access Control for Internal Tools ●● Domain-Scoped NextAuth with Workspace Tokens ●● Secrets Manager-Synced Session Keys & Autocert Cache
Path 04

Product Engineer

Web APIs, frontend frameworks, and SaaS product surface.

17. Web & API Engineering

37 topics

17.1 API Design & Frameworks

●● OpenAPI Code Generation (Go & TypeScript) ●● Dependency Injection with Uber/Fx ●●● Stripe Billing Integration ●● Rate Limiting Patterns ●● HTTP Middleware Chain Architecture ● Gin Web Framework (Go) ●● FastAPI with Jinja2 Server-Side Rendering ●● GitHub Issues API Integration in Go ●● GEO Optimizer CLI & Suggestion Engine ●● Embedded Expression Evaluators for Configurable Rules ●● GraphQL Mesh API Gateway Patterns

17.2 API Applications

●● Fastify Content Generation API ●● Dual MCP + HTTP Memory Server ●● Next.js Server Actions over Markdown CRM ●●● httpx Client/Server Scaffolding from OpenAPI ●● Chi Router & Middleware Composition (Go) ●● Redis-Cached Session Context & Responsive S3 Images

17.3 Real-Time & Streaming

●● Server-Sent Events (SSE) for LLM Streaming ●● WebSocket Architecture for AI Chat ●● Streaming Orchestration in Agent Pipelines

17.4 Network Transport

●●● HTTP/3 QUIC Inter-Node Transport ●●● QUIC / HTTP/3 Transport ●●● HTTP/2 Stream Multiplexing & HPACK Compression

17.5 SaaS Platform Engineering

●● Stripe Billing Integration & Usage Metering ●●● Multi-Tenant SaaS Architecture ●● Cloud Instance Lifecycle State Machine ●● HTTP Reverse Proxy with Tenant Auth Injection ●● Dual-Binary Architecture with Shared Management Layer ●● Invitation Token System for Team Onboarding ●● Background Stripe Usage Reporting ●●● Stateful Hot-Path API Architecture

17.6 Async Processing

●● PostgreSQL-Backed Async Job Queues (Gue)

17.7 SDK & Client Libraries

●● OpenAPI Code Generation & SDK Automation ●● Python Database SDK Design with httpx & Pydantic ● Filesystem-Backed MDX Blog Utilities ●● Agent-Friendly CLI Interface Design ●● CLI Binary Testing with testscript

18. Frontend Engineering

46 topics

18.1 React & Next.js Patterns

●● React Search UI Widget Architecture ●●● Streaming React Hooks for AI Responses ●● TanStack Query (React Query) ●● Nested Provider Architecture ●● React Dashboard with TanStack Query Fallbacks ●● Next.js App Router with Dynamic Tenant Routing ●● Next.js Static Export & SSG ● next-themes Dark Mode Management ●● Zustand External Store State Management

18.2 Component Systems & Design

●● Radix UI & shadcn/ui Accessible Component Systems ●● OKLCH Design Tokens & Dark Mode Palette ●● shadcn/ui Component Registry System ●● Design Token Architecture (CSS Variables) ●●● Container Query Responsive Design ●● Class Variance Authority (CVA) Variant System ●● Radix UI Accessible Primitives ●● Headless/Unstyled React Component Library Design

18.3 Rich Interactions & Visualization

●● Deck.gl WebSocket Scatterplot for Vector Spaces ●● Animated Multi-Product Header Switcher ●●● Three.js & React Three Fiber 3D Rendering ●●● Procedural Animation with Simplex Noise ●● Rich Text Editing with Tiptap ●● Recharts Data Visualization ●● Drag & Drop with dnd-kit ●● Framer Motion Animation System ●●● WebGPU Rigid-Body Physics with AVBD

18.4 Search & AI UI Components

● Docs Response Tabs with Copy-to-Clipboard ●● Shopify AI Answerbar Integration ●● AI Response Streaming (Vercel AI SDK) ●● Command Palette (CMD+K) Pattern ●●● Widget Registry & Multi-Query Orchestration ●● URL State Synchronization for Search UIs ●● Citation Parsing & Rendering for RAG UIs ● react-syntax-highlighter Code Display ●●● Schema-Constrained Generative UI

18.5 Content & Forms

●● Handlebars Template Engine Implementation ●● Turborepo Monorepo Management ●●● Shopify Embedded App Development ●● React Hook Form + Zod Validation ●● HTMX Server-Driven Interactivity ●● MDX Content Pipeline with Remark/Rehype

18.6 Go-Based Frontend & Desktop

●● Wails Desktop Shell for a Managed Search Service ●●● Go-App WebAssembly Frontend Framework ●● Go-Echarts Interactive Data Visualization

18.7 Build & Monorepo Tooling

●● Monorepo Orchestration with Turborepo & pnpm Workspaces ●● Vite Build System for Embedded Dashboards
Path 05

Foundations & Cross-Cutting

Systems programming, protocols, and shared prerequisites for every path.

19. Systems Programming

22 topics

19.1 Zig Programming

●● Zig Programming Language Fundamentals ●● Zig Build System & Package Management ●● Arena Allocators & Memory Management Patterns ●●● VTable-Based Polymorphism in Systems Languages ●●● SIMD-Accelerated Vector Operations ●●● C Interop & FFI in Zig and Go ●●● Colorblind Async I/O Interfaces in Zig ●● Zig Build Integration for Generated APIs

19.2 Go Advanced Patterns

●● Go Concurrency Patterns for Databases ●●● Go Assembly & ARM64 Hardware Optimization ●●● Domain-Driven Design in Go ●● Cobra CLI Framework for Go Applications ●● Embedded Database Process Manager ●●● Bounded CDC-to-Search Pipelines in Go ●●● Cgo-Free Dynamic Library Calls in Go ●●● Generated Go Assembly with avo

19.3 Rust & Cross-Language

●●● Rust PostgreSQL Extensions with pgrx ●●● WebAssembly Runtime Integration (Wasmer) ●●● Sequential Scan I/O: mmap vs Direct Streaming

19.4 Browser & Desktop Automation

●●● Headless Browser Automation (ChromeDP)

19.5 Formal Verification

●●● TLA+ Formal Verification for Distributed Protocols ●●● LLM-Assisted Proof Generation

20. Protocols & Interoperability

43 topics

20.1 MCP & A2A Protocols

●● Model Context Protocol (MCP) ●● MCP Server Development ●● MCP Authentication & Enterprise Security ●● Agent-to-Agent Protocol (A2A) ●● Agent Cards & Capability Discovery ●● MCP vs A2A Complementary Architecture ●● A2UI Declarative Agent Interfaces ●● WebMCP Browser Tool Interfaces ●● Event-Driven MCP Channels ●● Static MCP Tool Vendoring ●●● MCP Tool Output Sandboxing ●●● Task-Augmented MCP Tools ●● Declarative Database MCP Tool Gateways ●● Agentic Commerce Catalog Protocols ●● MCP Sampling Through Client-Mediated LLM Calls

20.2 Structured Output & Constrained Decoding

●● Constrained Decoding ●● Grammar-Guided Generation (XGrammar, Outlines, llguidance) ●● Structured Output APIs (OpenAI, Anthropic, Google) ●● Pydantic-Driven Schema Design for LLMs ●●● STATIC Trie Vectorization for Constrained Decoding

20.3 Tool Integration Standards

●●● JSON Schema for Tools ●●● OpenAPI Specification

20.4 Data Interchange Formats

●● JSON Schema Validation & JSONPath Queries ●● Zstandard (Zstd) Compression ●●● Binary Embedding Codec for Efficient Transmission ●●● HuggingFace PEFT Safetensors Interoperability ●●● OpenAPI→Zig Two-Phase Parser & Resolver ●●● Zig Type Mapping for Discriminators & Nullable Fields ●●● GGUF Quantized Tensor & Expert Decompression ●●● Vortex Layout-Tree Columnar Files ●●● FSST String Compression for Databases ●● ULID Sortable Identifiers ●● Portable Vector Dataset Interchange ●● Token-Oriented Object Notation (TOON) ●● FlatBuffers Zero-Copy Serialization ●● Schema Evolution & Compatibility ●● Snappy and LZ4 Fast Compression Codecs ●● Compression Codec Trade-offs

20.5 Protocol Buffers & API Codegen

●● OpenAPI-to-MDX Documentation Generator ●● Protocol Buffers Wire Encoding ●● Programmatic Image Generation with Node Canvas ●●● OpenAPI-to-Terraform Provider Generation ●●● Go Protobuf Opaque API