BuildAfreeka_ — Everything we teach, in sixteen months.
The AI & Agents track above sits on top of this foundation — students don't skip the basics to get there.
Core software fundamentals
Programming fundamentals, data structures & algorithms, web & API development, version control & collaboration, testing & quality.
Applied AI & LLM foundations
LLM literacy, prompting & structured outputs, calling LLM APIs, retrieval-augmented generation, classical ML literacy.
Agent building
The agent loop, tool & function calling, the Model Context Protocol (MCP), orchestration frameworks, memory, multi-agent patterns.
Evaluation, production & Build Studio
Agent evaluation, guardrails & safety, cost & latency management, deployment & monitoring, applied client delivery under mentor sign-off.
BuildAfreeka_ — From prompt to production: the AI & Agents track.
Layered on top of core software fundamentals — students don't skip the basics to get here.
Applied AI & LLM foundations
Prompting, structured outputs, calling LLM APIs, retrieval-augmented generation, and enough classical ML to be conversant.
Agent building
The reason-act-observe loop, tool and function calling, the Model Context Protocol (MCP), memory, and multi-agent patterns.
Evaluation, safety & production
Testing agent accuracy, guardrails for high-stakes actions, human-in-the-loop approval, cost control, and deployment.
Applied in the Build Studio
Agent-powered service-request triage, admin assistants and small-business tools — shipped to real clients, mentor-reviewed.