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Course

AI Agent Workforce Management

Learn to discover, build, connect and supervise AI agents — one guided journey, seventeen modules.

Description

A beginner-friendly, project-based course on AI agents and AI automation. You will learn what agents are, choose and evaluate real tools, build workflows and agents, connect them to business tasks, and learn to monitor, secure and manage them with human supervision.

Who it is for

Beginners with basic computer and internet skills. No programming experience is required for Modules 1-9; optional coding paths are marked clearly.

Prerequisites

A computer, a modern browser and an internet connection. Some external tools need their own free or paid accounts; we always say so before you start.

Learning outcomes

  • Explain what AI agents are and how they differ from chatbots and plain automation
  • Evaluate AI tools for cost, privacy and fit
  • Build a working workflow and a first agent
  • Design basic multi-agent and orchestration setups
  • Apply monitoring, permissions and human approval
  • Complete a portfolio capstone project

Syllabus

Full syllabus

Open a module to see its lessons. Lessons marked Coming soon are planned and will be released during the build-out of the course.

01AI, LLMs, Assistants, and AgentsThe core ideas, in plain language.
  1. What an AI agent is (and is not)Free preview12 min
  2. LLMs, assistants and agents compared15 min
  3. Where agents help and where they fail15 min
02Understanding the Current AI Agent EcosystemA map of builders, frameworks and platforms.
  1. A map of the agent ecosystem15 min
  2. Builders, frameworks and automation platforms18 min
  3. How to read a tool's claims critically15 min
03Finding and Evaluating Free or Low-Cost AI ToolsChoose tools by cost, limits and privacy.
  1. Finding tools worth your time15 min
  2. Reading pricing, limits and privacy terms18 min
  3. Building your personal tool shortlist20 min
04Building Effective Prompts and Structured OutputsPrompts that give reliable, machine-readable results.
  1. Anatomy of a good prompt18 min
  2. Prompts that return structured JSONLab30 min
  3. Testing and improving prompts20 min
05No-Code and Low-Code Workflow AutomationTriggers, actions and data flowing between apps.
  1. What workflow automation means15 min
  2. Triggers, actions and data mapping18 min
  3. Lab: build a visual workflowLab45 min
06Building Your First AI AgentThe think-act-observe loop, with tools.
  1. The agent loop: think, act, observe18 min
  2. Giving an agent tools18 min
  3. Lab: your first working agentLab60 min
07APIs, Webhooks, JSON, and IntegrationsHow software talks to software.
  1. APIs explained with everyday examples15 min
  2. Webhooks and JSON18 min
  3. Lab: call an API from a workflowLab45 min
08AI Agents for Research and Business TasksSourced research and routine business work.
  1. Research agents and source checking18 min
  2. Business task agents18 min
  3. Lab: a sourced research briefLab60 min
09Connecting Agents to Email, Documents, and Business ApplicationsSafe connections with a human in the loop.
  1. Connecting email and calendars safely18 min
  2. Documents and spreadsheets18 min
  3. Lab: inbox triage with human approvalLab60 min
10Memory, Knowledge Bases, and RAGGiving agents reliable knowledge.
  1. How agents remember15 min
  2. Knowledge bases and retrieval (RAG)20 min
  3. Lab: question answering over your documentsLab60 min
11Multi-Agent Systems and DelegationSeveral agents, clear roles and handoffs.
  1. Why use several agents15 min
  2. Roles, handoffs and delegation18 min
  3. Lab: a two-agent teamLab60 min
12Agent Orchestration and Centralized ControlRouting, state, retries and approvals.
  1. The orchestration layer20 min
  2. Routing, state, retries and approvals20 min
  3. Lab: a central orchestrator for a small businessLab90 min
13Monitoring, Logs, Testing, and EvaluationKnow what your agents did and whether it was good.
  1. Logging what agents do15 min
  2. Testing and evaluating agents20 min
  3. Lab: build a small evaluation setLab60 min
14Permissions, Security, Human Approval, and GovernanceLeast privilege and responsible use.
  1. Permissions and least privilege18 min
  2. Human approval gates18 min
  3. Governance and responsible use20 min
15Deployment, Cost Management, and ReliabilityRunning agents without surprises.
  1. Deploying an agent18 min
  2. Cost and rate-limit management18 min
  3. Reliability and failure recovery18 min
16Business AI Workforce DesignTurning a business into tasks and roles.
  1. Mapping a business into tasks20 min
  2. Designing roles for an AI workforce20 min
  3. Measuring business value honestly18 min
17Real-World Projects and CapstoneBuild and present a portfolio project.
  1. Choose your capstone30 min
  2. Build and testLab240 min
  3. Present your portfolio project30 min

Practical labs, projects and resources

Labs

11 hands-on labs are planned. Each has a goal, setup steps, an expected result, a checklist, troubleshooting and security notes.

Projects

Assignments and a final capstone, such as a small-business workflow with central orchestration.

Resources

Written lessons, diagrams, worksheets and links to the official tools, with pricing notes and last-verified dates.

Certificate requirements

To earn a certificate of completion you must complete at least 100% of the published lessons and pass the required quizzes. Each certificate has a unique ID that anyone can verify.

The certificate shows completion of this course. It is not an accredited qualification and does not guarantee a job or income.

Pricing

Full course access

AI Agent Workforce Management

₹3,999

One payment in Indian rupees. Taxes and fees, if any, are shown at checkout.

  • Full written curriculum with practical labs
  • Quizzes with instant feedback, assignments and projects
  • Progress saved across your devices
  • Certificate of completion when requirements are met
  • Lifetime access
Buy now (secure checkout)

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Access is only ever activated after a payment is verified on our server. Read the Refund Policy and Course Access Policy.

Frequently asked questions

Do I need to know how to code?

No. Modules 1-9 assume no programming experience. Optional coding paths are clearly marked for learners who want to go further.

What do I need to take the course?

A computer, a modern web browser and an internet connection. Some practical labs use external tools that need their own account; each lab tells you before you start.

How do I enroll?

Create a student account, choose the course, and complete payment. Access is activated only after the payment is verified on our server, not just because you were redirected back to the site.

I registered. Do I get the paid lessons automatically?

No. A registered account can read the free preview lessons. Paid lessons unlock only after a verified purchase or an approved manual enrollment.

What if my payment fails or stays pending?

A failed payment does not enroll you and you can try again. A pending payment is checked again automatically when the payment provider confirms it. If your account is still locked after a successful payment, contact support with your order details.

How long do I have access?

The access period is shown on the course page and in your enrollment. It is set by the course owner and can change for future purchases.