Included With Dynamic Tangent • $499 Value

12-Week Agentic AI & RAG Engineering Track

While our team executes your job applications end-to-end, you build 15 production repositories reverse-engineered around target company tech stacks. Walk into interviews with live, working proof-of-work.

WEEK 1PHASE 1: FOUNDATIONS

Turn Raw Knowledge Into Reliable AI Answers

MODULE 01 / 12

Design and implement a deterministic Retrieval-Augmented Generation pipeline from unparsed enterprise files to grounded, low-latency LLM responses.

● SYSTEM ARCHITECTURE SPECIFICATIONWEEK 1 TECHNICAL SCHEMATIC
RAW DOCSPDF/MD/TXTCHUNK ENGINEVECTOR DATABASEpgvector / PineconeUSER QUERYEmbedded vectorCONTEXT WINDOWQuery + Top 3 ChunksToken Budget: 4,096LLMClaude / GPT-4oGrounded OutputGROUNDEDANSWER✓ 0% Hallucination
CORE ENGINEERING CONCEPTS:
  • Chunking Strategies (Recursive & Semantic)
  • Vector Embeddings & Cosine Metrics
  • pgvector & Pinecone Hybrid Indexes
  • Grounded Context Synthesis
WEEKLY PRODUCTION DELIVERABLE:
Production hybrid-search document retriever with cost & latency benchmarks
WEEK 2PHASE 1: FOUNDATIONS

Give AI Access to Tools, Data, and Memory

MODULE 02 / 12

Bind external REST APIs and relational stores to the LLM runtime using strict JSON Schema function calling and dual-tier memory buffers.

● SYSTEM ARCHITECTURE SPECIFICATIONWEEK 2 TECHNICAL SCHEMATIC
USER REQUEST“Schedule based on past call”LLM ORCHESTRATORFunction Calling RouterTool Binding EngineJSON Schema VerifiedREST API TOOLDATABASE TOOLSEARCH TOOLCALENDAR TOOLMEMORY LAYERSHORT-TERM BUFFERRolling window: Last 10 turnsLONG-TERM PERSISTENCERedis / Vector User Store
CORE ENGINEERING CONCEPTS:
  • Strict Function Calling & JSON Schema Mode
  • Tool Binding & Parameter Validation
  • Short-Term Rolling Conversation Buffers
  • Persistent Redis Long-Term Store
WEEKLY PRODUCTION DELIVERABLE:
Stateful API execution engine with tool-calling schema validation
WEEK 3PHASE 1: FOUNDATIONS

Make AI Understand More Than Text

MODULE 03 / 12

Ingest multi-modal inputs (audio, images, spreadsheets) into a unified cross-modal vector index with Cohere cross-encoder re-ranking.

● SYSTEM ARCHITECTURE SPECIFICATIONWEEK 3 TECHNICAL SCHEMATIC
📄 TEXT DOC🖼️ IMAGE / UI🎙️ AUDIO STT📊 TABLE DATADocument ParserVision Encoder (CLIP)Whisper TranscriptionStructured ParserUNIFIEDRETRIEVAL INDEXMulti-Vector StoreCOHERE RE-RANKER6 candidates → Top 3#1 Relevance Score: 0.96#2 Relevance Score: 0.91#3 Relevance Score: 0.88SYNTHESIZEDMULTI-MODAL OUTPUTGrounded in Text + Image + Audio
CORE ENGINEERING CONCEPTS:
  • Multi-Modal Ingestion Pipelines
  • Cross-Encoder Re-Ranking (Cohere)
  • HyDE (Hypothetical Document Embeddings)
  • Unified Multi-Modal Semantic Search
WEEKLY PRODUCTION DELIVERABLE:
Context-aware enterprise documentation parser and multi-modal query engine
WEEK 4PHASE 2: SYSTEMS

Turn AI Into Reliable Multi-Step Workflows

MODULE 04 / 12

Orchestrate deterministic, fault-tolerant state-machine workflows with conditional DAGs, background BullMQ queues, and self-correcting retry cycles.

● SYSTEM ARCHITECTURE SPECIFICATIONWEEK 4 TECHNICAL SCHEMATIC
TRIGGERANALYZEParse PayloadDECISIONEXECUTETask SuccessRETRY & SELF-CORRECTVALIDATESchema VerifiedCOMPLETE✓ Zero Errors
CORE ENGINEERING CONCEPTS:
  • Deterministic State-Machine Orchestration
  • Conditional DAG Execution
  • BullMQ Background Job Queues
  • Self-Healing Fallback Handlers
WEEKLY PRODUCTION DELIVERABLE:
Fault-tolerant asynchronous document processing pipeline with retry queues
WEEK 5PHASE 2: SYSTEMS

Build AI Systems That Can Survive Production

MODULE 05 / 12

Harden your architecture against OWASP LLM vulnerabilities: prompt injection firewalls, PII sanitization, token cost controls, and RBAC authentication.

● SYSTEM ARCHITECTURE SPECIFICATIONWEEK 5 TECHNICAL SCHEMATIC
✓ Valid User Query⚠️ Prompt Injection⚠️ PII Data Exfil⚠️ Token FloodINPUT SANITIZERPII Redaction[ BLOCKED ]GUARDRAIL GATENeMo / Token QuotasRate Limit: 100/minPROTECTED MODELGrounded EnvironmentRBAC: Authenticated OnlyOUTPUT FILTERToxicity & Schema Check✓ SAFE PRODUCTION
CORE ENGINEERING CONCEPTS:
  • Prompt Injection & Jailbreak Defense
  • PII Masking & Data Scrubbing
  • Token Rate Limiting & Cost Firewalls
  • Role-Based Access Control (RBAC)
WEEKLY PRODUCTION DELIVERABLE:
Production API firewall with input sanitization and token budget controls
WEEK 6PHASE 2: SYSTEMS

Teach AI to Plan, Act, Observe, and Recover

MODULE 06 / 12

Build autonomous ReAct reasoning loops with task decomposition, tool selection, runtime observation feedback, and self-correcting error recovery.

● SYSTEM ARCHITECTURE SPECIFICATIONWEEK 6 TECHNICAL SCHEMATIC
GOAL DECOMPOSITIONGOAL: Deploy App├ Task A: Gen Code [✓]├ Task B: Run Test [⟳]└ Task C: Deploy [ ]ReAct AUTONOMOUS ENGINETHINKACTOBSERVEADAPTSTATEAVAILABLE TOOLS🔎 Search Engine Tool💻 Python Code Executor🗄️ SQL Database Client
CORE ENGINEERING CONCEPTS:
  • ReAct (Reason + Act + Observe) Pattern
  • Dynamic Task Decomposition
  • Runtime Tool Selection
  • Self-Reflection Cycles
WEEKLY PRODUCTION DELIVERABLE:
Autonomous problem-solving agent with runtime validation and self-correction
WEEK 7PHASE 3: AGENTS

Build Agents With the Frameworks Used in Real Systems

MODULE 07 / 12

Understand the exact architectural trade-offs between LangGraph state cycles, CrewAI role specialists, AutoGen dialog agents, and custom lightweight SDKs.

● SYSTEM ARCHITECTURE SPECIFICATIONWEEK 7 TECHNICAL SCHEMATIC
INPUT: UNIFIED OBJECTIVE01 / LANGGRAPHCyclic State TransitionsNODE ANODE BCheckpoint Snapshot02 / CREWAIRole-Based Specialists🕵️ Researcher Agent💻 Engineer Agent🔍 Reviewer Agent03 / AUTOGENConversational ConsensusAgent 1Agent 2Group Chat Manager04 / CUSTOM ENGINEMinimalist Python / TSReason → Tool → StateZero Bloat • Full ControlOUTPUT: VERIFIED COMPLETED OBJECTIVE
CORE ENGINEERING CONCEPTS:
  • LangGraph Cyclic State Transition Graphs
  • CrewAI Role-Based Team Delegation
  • AutoGen Conversational Multi-Agent Consensus
  • Custom Lightweight Tool Execution Engines
WEEKLY PRODUCTION DELIVERABLE:
Modular multi-role agent workspace with state checkpointing
WEEK 8PHASE 3: AGENTS

Coordinate Specialized AI Agents as One System

MODULE 08 / 12

Architect hierarchical supervisor topologies where a lead orchestrator delegates sub-tasks to specialized worker agents sharing an event bus.

● SYSTEM ARCHITECTURE SPECIFICATIONWEEK 8 TECHNICAL SCHEMATIC
SUPERVISOR AGENTTask Decomposition & Delegation01 / RESEARCH AGENTTool: Web & Docs Search02 / DATA AGENTTool: SQL & Vector Query03 / CODE AGENTTool: Code Sandbox04 / QA & AUDIT AGENTTool: PyTest & LinterSHARED CONTEXT & EVENT BUS (REDIS PUB/SUB)Immutable State History • Real-Time Synchronized Memory
CORE ENGINEERING CONCEPTS:
  • Supervisor-Worker Multi-Agent Topology
  • Task Delegation & Result Aggregation
  • Inter-Agent Pub/Sub Message Bus
  • Shared State Memory Consistency
WEEKLY PRODUCTION DELIVERABLE:
Collaborative 4-agent software development & code-review system
WEEK 9PHASE 3: AGENTS

Build Agents That Keep Working Even When Things Stop

MODULE 09 / 12

Implement durable execution models that save runtime checkpoints, support human-in-the-loop approval gates, and recover automatically from network crashes.

● SYSTEM ARCHITECTURE SPECIFICATIONWEEK 9 TECHNICAL SCHEMATIC
STARTCHECKPOINT 1State Saved ↓HUMAN APPROVALPaused for Review✓ ApprovedRECOVERYCrash ResumedCOMPLETE100% DurablePERSISTENT POSTGRES / REDIS STATE STORECheckpoint Snapshots • Resumes Execution with Zero Lost Tokens
CORE ENGINEERING CONCEPTS:
  • Durable State Persistence
  • Checkpoint Snapshots & Event Sourcing
  • Human-in-the-Loop Approval Gates
  • Zero-Loss Crash Recovery
WEEKLY PRODUCTION DELIVERABLE:
Persistent research assistant agent with interactive human approval gates
WEEK 10PHASE 4: PRODUCTION

Take AI From Your Laptop to Production Infrastructure

MODULE 10 / 12

Containerize multi-agent applications with Docker and deploy to GCP Cloud Run / AWS ECS with real-time OpenTelemetry tracing and cost telemetry.

● SYSTEM ARCHITECTURE SPECIFICATIONWEEK 10 TECHNICAL SCHEMATIC
LOCAL CODEFastAPI + LangGraphDOCKER CONTAINERSlim Python 3.11Dependencies PinnedGCP CLOUD RUN / AWSServerless AutoscalingInstance #1 (Live)Instance #2 (Auto)✓ 99.99% Uptime • HTTPS GatewayREAL-TIME OBSERVABILITYOpenTelemetry + LangSmithP95 Latency: 132msCost / Turn: $0.000280% Error Rate
CORE ENGINEERING CONCEPTS:
  • Docker Containerization for AI Engines
  • Serverless Cloud Run / AWS ECS Deployment
  • Distributed Tracing with OpenTelemetry
  • LangSmith / Langfuse Observability
WEEKLY PRODUCTION DELIVERABLE:
Zero-downtime serverless agent microservice with real-time tracing
WEEK 11PHASE 4: PRODUCTION

Combine Everything Into One Production AI Product

MODULE 11 / 12

Synthesize all 10 preceding weeks into a full-stack, end-to-end Enterprise AI SaaS or Autonomous Agent product reverse-engineered for target companies.

● SYSTEM ARCHITECTURE SPECIFICATIONWEEK 11 TECHNICAL SCHEMATIC
WEB APPLICATIONNext.js 15 / ReactInteractive Chat UIAnalytics DashboardUser Auth & RBACPRODUCTION AGENT BACKENDLangGraph OrchestratorRAG Engine (W1-3)Pinecone HybridTools & API (W2)Schema ValidationMulti-Agent (W8)4 SubagentsSecurity (W5)OWASP HardenedDATA & CLOUD INFRASTRUCTUREVECTOR DB100k+ EmbeddingsPOSTGRES DBRelational StateGCP CLOUD RUN • 100% PRODUCTION READYCI/CD Automated • Live Demo Hosted Online
CORE ENGINEERING CONCEPTS:
  • Full-Stack Next.js & Python Architecture
  • Vector DB + Relational Integration
  • Multi-Agent Orchestrator Synthesis
  • End-to-End Authentication & Stripe Integration
WEEKLY PRODUCTION DELIVERABLE:
Live, interactive production application solving an actual enterprise problem
WEEK 12PHASE 4: PRODUCTION

Turn Your Technical Work Into Interview Leverage

MODULE 12 / 12

Present your live working demo to technical hiring managers and senior architects. Transition interviews from stressful trivia tests into high-status product demonstrations.

● SYSTEM ARCHITECTURE SPECIFICATIONWEEK 12 TECHNICAL SCHEMATIC
YOUR CAPSTONE PROJECT15 Stack Repos📁 GitHub Repository📑 Architecture Slide Deck🚀 Live Cloud Run URLLIVE DEMO WINDOW> dt-agent-orchestrator --live✓ Connected to employer target stack→ Executing multi-agent benchmark...✓ 0 Errors | P95 Latency 128msHIRING AUTHORITY3 Evaluators PanelVP ENGLEADHRPROOF OF WORK: VERIFIED✓ Ready for Senior Offer
CORE ENGINEERING CONCEPTS:
  • Live Screen-Share Demo Strategies
  • Architecture Pitch Deck Creation
  • Technical Hiring Readiness Audit
  • Verified Technical Credential
WEEKLY PRODUCTION DELIVERABLE:
Polished demo repository, architecture slides, and complete technical portfolio
Career Execution Partnership

Build the Proof. We Execute the Search.

This 12-week build track ($499 value) is included when you partner with Dynamic Tangent. We run your application pipeline while you build the engineering leverage that closes senior offers.