Agentic AI in Software Development: Claude, MCP, and Autonomous Systems

Detailed Curriculum · 72 teaching hours · CCAR-F aligned

Prerequisites: Senior-level experience in software engineering, DevOps, and platform architecture. No prior LLM/agent experience required.

Positioning: This course treats agentic AI as an architectural discipline. Every module deliberately maps the learner's existing instincts — API-first design, distributed systems thinking, DDD, ADR discipline — onto the new vocabulary of agents, tools, and context. 52 + 20 rhythm: core, CCAR-F-mapped instruction organized in 4-hour-aligned blocks, then a 20-hour Project Time block where the whole course comes together in one built, evaluated agentic system — plus dedicated preparation for the Claude Certified Architect – Foundations (CCAR-F) exam.