Agentic Systems Engineering: Planning, Memory and Tool Loops
by Priya Raman
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Showing 73–90 of 90 courses
Design agents that plan, remember and stop, instead of looping until the budget is gone.
Twenty-four hours taking you from a first API call to a deployed, evaluated AI product.
Write joins, aggregates and filters you can defend, starting from a completely blank slate.
Running totals, rankings and gaps-and-islands, explained until they finally feel obvious.
Indexes, transactions, JSONB and migrations, taught from the application developer seat.
Turn EXPLAIN output into a fix list, and make slow endpoints fast without guesswork.
Schema decisions that still hold up after two years of features nobody planned for.
Build a warehouse layer with tested transformations that analysts and executives both trust.
Containerise a real application, then run its entire stack locally with one Compose file.
Pipelines that run fast, cache correctly and fail for reasons you can actually read.
Deploy, scale and debug your own services on Kubernetes without becoming a full-time operator.
Describe cloud infrastructure in code, review it like code and roll it back like code.
Metrics, traces, alerts and postmortems: what it takes to own a service people depend on.
A complete job-search system: portfolio projects, a resume that passes, interviews you win.
Find clients, scope work honestly and price so a good month stops being an accident.
Package model-powered automations into offers small businesses understand and will pay for.
Hire, delegate and productise until the business runs without you writing every line.
Positioning, pipeline, proposals, contracts and delivery, assembled into one working system.