Available courses

Mastering Local Agentic AI

Enterprise Agentic AI with Spring Microservices: Local SLM Orchestration, Voice Sub-Agents, MCP & FinOps

A 10-Module Hands-On Master Journey from Distributed Systems to Autonomous Multi-Agent Fleets using Spring AI, Ollama (gemma4:e2b & phonon:40m-multilingual), pgvector, Valkey & MLflow.

📚 Modules

  • 1️⃣: 🐳 Setup & Build Spring PetClinic Microservices As-Is Architecture with Docker
  • 2️⃣: 🏗️ Provisioning Local AI Infrastructure (Ollama + MLflow + pgvector + Valkey)
  • 3️⃣: 🦙 Enabling Local Ollama SLM (gemma4:e2b) with Spring AI ($0.00 Token Cost)
  • 4️⃣: 📊 Experiment Tracking, Prompt Governance & LLM Run Metrics (MLflow)
  • 5️⃣: 🔎 Vector Embeddings, Event-Driven Sync & Hybrid Search with RRF (phonon:40m-multilingual)
  • 6️⃣: 🧩 State Management, Session Memory & Semantic Vector Cache (BSD-3)
  • 7️⃣: 🛠️ Autonomous Tool Calling & Single-Agent ReAct Pattern (Spring AI @Tool)
  • 8️⃣: 🤖 Specialized Domain Sub-Agents & Voice Agent (Customer + Triage + Visits + Voice Specialists)
  • 9️⃣: 🧠 AI Orchestration, MCP & Safety Guardrails (Supervisor-Worker + Voice Streaming + HITL)
  • 🔟: 💰 FinOps, Token Economics & Observability (Prometheus + Zipkin + Continuous Evals)