CURATED ENGINEERING CURRICULUM • 4 FLAGSHIP COURSES (96 MODULES)

Production AI Courses

Hands-on, worked technical masterclasses designed for software engineers transitioning to AI Systems Engineering.

4 of 4 COURSES AVAILABLE

COURSE-01

Deep Learning Engineering

CORE PREREQUISITE

The comprehensive 4-Day foundation: 18 Classroom Theory Modules, 22 Practical AI Labs, 19 Validation Gates, CNNs, Autograd, and Dockerized FastAPI Microservices.

4 Days (32 Hours)• 40 Modules• Foundational to Advanced

Capstone Project: MNIST MLP + CNN + Dockerized REST Microservice

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COURSE-02

Production RAG & Vector Retrieval

ENTERPRISE STANDARD

Architect enterprise RAG pipelines with custom chunkers, hybrid search (BM25 + Dense Vectors via RRF), cross-encoder reranking, and ChromaDB/pgvector pipelines from 31-Keystone.

3 Days (24 Hours)• 18 Modules• Intermediate to Advanced

Capstone Project: Multi-Tenant Financial & Operational Runbook RAG Engine

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COURSE-03

Model Context Protocol (MCP) & Agentic AI Architecture

HOT & IN DEMAND • OAIDF CORE

Master Agentic AI from first principles across dual tracks: Visual low-code workflows (n8n/Flowise) & pure Python autonomous agents with FastMCP (JSON-RPC 2.0) and LangGraph cyclical DAGs.

4 Days (30 Hours)• 24 Modules• Advanced Engineering

Capstone Project: OAIDF Master MCP Server & Multi-Agent Cyclical SRE Engine

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COURSE-04

AI System Evaluation & Guardrails

PRODUCTION MANDATE

Measure faithfulness and context recall with Ragas benchmarks. Calibrate LLM judges, enforce Open Policy Agent (OPA) safety boundaries, and build 120s synthetic health rollback probes.

2 Days (16 Hours)• 14 Modules• Advanced Engineering

Capstone Project: Automated CI/CD Evaluation & Closed-Loop Guardrail Controller

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