Automation

Module 4.2: AI Agents and Automation Workflows

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13 of 20 modules complete
GENERATIVE AI: ZERO TO JOB-READY  ›  UNIT 4  ›  MODULE 2 OF 4

AI Agents and Automation Workflows

⏱ 14 min read 📝 Assignment inside No coding required

In Module 4.1 you learned how RAG gives an LLM access to your documents. This module covers the next step: what happens when an LLM does not just answer a question but takes actions — browsing the web, writing and running code, calling APIs, filling forms, and coordinating with other AI systems. That is what AI agents do.

Module 4.4: No-Code AI Tools — Automating Work Without Writing Code

YOUR PROGRESS — GENERATIVE AI: ZERO TO JOB-READY ← Course home
15 of 20 modules complete
GENERATIVE AI: ZERO TO JOB-READY  ›  UNIT 4  ›  MODULE 4 OF 4

No-Code AI Tools — Automating Work Without Writing Code

⏱ 13 min read 📝 Assignment inside Unit 4 Finale

The previous three modules covered how enterprise AI works under the hood — RAG, agents, fine-tuning. This final Unit 4 module is the most immediately practical: tools you can use today, without writing a single line of code, to build AI-powered workflows that automate real tasks.