A queued, tool-using agent with backpressure, cancellation, retry classes, and checkpoint resume.
Education← BRAINS pathwayBRAINS · Masterclass
Scheduling, Processing, and Orchestration
Turn a model call into dependable work.
Build the runtime around queues, tools, browsers, sandboxes, retries, checkpoints, cancellation, and human handoffs.
Orchestration diagram, resource profile, queue trace, retry policy, and recovery demonstration.
Queued Agent Runtime
Class requirement: create or sign in to your Alternate Clouds account, deploy the Queued Agent Runtime template, and submit its live URL before the class is marked complete.
Create your Alternate Clouds account ↗Copyright and rights clearance
Use only work you own or are authorized to use.
Every submission needs a source-and-license manifest covering text, code, images, audio, video, fonts, datasets, models, weights, and AI reference inputs. Attribution alone is not permission. Questionable material stays private or is replaced before deployment or showcase.
Ask about rights clearance01Function, workflow, or agent?+
Use explicit workflows where predictability matters and agent loops only where nondeterminism earns its cost.
Applied exercise
Classify each step in the project and remove one unnecessary agent decision.
02CPU still runs the agent+
Account for prompt assembly, parsing, auth, browsers, document work, code execution, and container overhead.
Applied exercise
Profile CPU and RAM while representative tools run.
03Queues and long-running work+
Design backpressure, priority, concurrency, rate limits, cancellation, deadlines, and checkpoints.
Applied exercise
Load the system until the queue forms, then cancel and resume a task.
04Tools as contracts+
Bound inputs, validate outputs, label side effects, isolate risky work, and hand off with context.
Applied exercise
Compare an uncontrolled retry with an idempotent recovery.
The complete course adds the teaching deck, Alternate Clouds lab, source-bounded guide, review rubric, and instructor feedback.
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