AI Agents for Business: Practical Systems with Sahil kumawat

An AI agent becomes useful when its choices serve a defined business task and its actions stay within a clear boundary. This course develops a supplier-research assistant that gathers approved evidence, compares options and prepares a decision brief. The final decision remains with a person. You will build a specification, an evidence pack, tool contracts, a test suite and a handoff report.

Inside: 1. Decide whether an agent is justified; 2. Build a small, useful context pack; 3. Give tools precise contracts; 4. Compare evidence and handle uncertainty; 5. Evaluate behaviour under pressure; 6. Handoff, pilot and final project.

You receive a 15-page PDF manual, browser-readable HTML, templates, worked answers, self-check tasks and original offline practice files. Six modules, twelve written lessons and one final project. Suggested 6-8 hours of study; no recorded videos, live coaching, individual grading, external certification, API credits, hosting or live integration. Optional third-party tools may cost extra.

Independent original MediarDX publication, checked against official sources on 27 October 2026. No provider affiliation or endorsement. All case data is fictional; no earnings, rankings, time savings or other results are guaranteed. Current-development notes distinguish documented capabilities from announcements and account-specific access.