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AI Guru Academy course, “AI Agents Explained: From Chatbots to Autonomous Workflows,” with Ritesh Vajariya. A diagram connects chat, AI, documents, tools, and approval.
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AI Agents Explained: From Chatbots to Autonomous Workflows

Learn why AI agents matter, how they choose and carry out steps, and where they may be useful. Follow one fictional research task, check its evidence and limits, then plan a small first test of your own.

Level
Beginner
Duration
1h 57m
Lessons
23 lessons
Language
English

Taught by Ritesh Vajariya · Published 20 Oct 2026

$0.99

AI Agents Explained: From Chatbots to Autonomous Workflows

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What you’ll learn

  • Explain how an agent differs from a chatbot or a fixed process.
  • Describe models, tools, context, progress, memory, and execution checks.
  • Review a task for factual support, allowed actions, and completion.
  • Compare one agent with several agents using evidence and total effort.
  • Evaluate a possible use and calculate human time saved.
  • Write a task brief and a small test plan with quality and stopping rules.

Syllabus

5 sections · 23 lessons · 1h 57m total

Understanding AI Agents5 lessons · 20 min
  1. Why AI Agents Matter Now4 min
  2. Why AI Agents Matter Now: reading2 min
  3. Chatbots, Assistants, Workflows, and Agents7 min
  4. Chatbots, Assistants, Workflows, and Agents: reading2 min
  5. Knowledge Check 15 min
Inside an AI Agent5 lessons · 32 min
  1. The Anatomy of an AI Agent13 min
  2. The Anatomy of an AI Agent: reading2 min
  3. How an AI Agent Executes a Task11 min
  4. How an AI Agent Executes a Task: reading2 min
  5. Knowledge Check 25 min
AI Agents in the Real World4 lessons · 14 min
  1. Single-Agent vs. Multi-Agent Systems5 min
  2. Single-Agent vs. Multi-Agent Systems: reading1 min
  3. Real-World Applications of AI Agents6 min
  4. Real-World Applications of AI Agents: reading2 min
Using AI Agents Responsibly5 lessons · 25 min
  1. Limitations, Risks, and Guardrails6 min
  2. Limitations, Risks, and Guardrails: reading2 min
  3. Plan Your First Agent Task10 min
  4. Plan Your First Agent Task: reading2 min
  5. Final Assessment5 min
Resources and practice4 lessons · 26 min
  1. Practice scenarios8 min
  2. The research case: sources and evidence8 min
  3. Word guide5 min
  4. Handbook and worksheet5 min

Before you start

Prerequisites

  • Basic computer familiarity
  • No coding, paid AI account, or software purchase required

Who it’s for

Professionals and managers evaluating AI for everyday work Students and independent learners seeking a conceptual foundation Technical learners who want to connect system design with outcomes and controls

Your instructor

Ritesh Vajariya

Founder of AI Guru Academy.

Assessment and certificate

Certificate of course completion. When you finish the required lessons and quizzes, you receive a certificate that records you completed this course.

It is not a professional licence and does not verify job competency.

Questions about this course

How long does the course take?

Allow about 1.5-2 hours, including pauses and short activities.

Do I need to code or buy software?

No. Basic computer familiarity. No coding, paid AI account, or software purchase required.

What is not covered?

Hands-on coding or API setup; Platform-specific agent building; Production deployment or independent operation of high-impact systems; Accreditation or professional certification.

How does the final assessment work?

Ten single-choice questions, one point each; 7 out of 10 passes. You have two attempts, and staff can reset them after you review the material.

AI Agents Explained: From Chatbots to Autonomous Workflows | AI Guru Academy