Workplace Automation with Generative AI

What the course covers

• Six modules progress from LLM/prompt basics and structured data extraction to email drafts and meeting summaries; Custom GPTs, Gemini Gems and Claude Projects; knowledge-base agents for documents; multi-step custom operational agents for weekly reports, project status, candidate screening and code review; and privacy/security.
• Named tools include ChatGPT, Claude, Gemini and their custom-agent concepts; page examples include a content-calendar agent, FAQ/onboarding assistants, document/knowledge agents and weekly-report drafting.

Practice & assessment

Four assignments and two ungraded labs are listed. Named ungraded labs build a prompt for data analysis and a ChatGPT knowledge-base agent; videos demonstrate email/meeting workflows and custom agents. A candidate-screening and a code-review assistant are also listed. No published project rubric or deployment performance was captured.

Time, cost & access

Format

Self-paced

Delivery & schedule

Self-paced Coursera course; component of the AI Agents & Automation Specialization. Access requires course enrollment; the current course-specific trial/price conditions were not captured.

Time

The six displayed module estimates total about 5 h 29 (29 m plus five modules at 1 h). This is the sum of the displayed module estimates.

Fee

Course fee, currency, tax, subscription coverage/trial eligibility and third-party tool/API costs not captured; no checkout opened.

Teaching language

English

Entry requirements

The page names ChatGPT, Gemini and Claude custom-agent products. It does not identify required subscription tiers, plan access, course setup prerequisites or whether every agent feature is available on free accounts. No coding prerequisite is stated in captured details.

Credential

Shareable Coursera specialization/course completion certificate advertised; no external credential recognition established.