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Hunar Station
AI Automation

AI Automation

Build practical AI automations using workflows, agents, APIs, MCP and connected business tools.

The AI Automation course is a live online program focused on building practical automation workflows using modern no-code and AI tools.

Learners are introduced to workflow logic, connected apps, APIs, AI agents, multi-agent concepts and MCP, with tools such as n8n, Make, Google Sheets, Calendly and Apollo.

AI Automation course

Course details

Format
Live Online
Language
Hinglish
Level
Basic to Advance
Training
Group batch & 1-to-1
Group batch
Enquire for Upcoming Batch

Fees shared on enquiry

Submit Query

What you’ll learn

  • Understand how automation workflows are structured.
  • Build connected workflows with triggers and actions.
  • Work with n8n and Make.
  • Understand API-based integrations.
  • Learn AI agent and multi-agent concepts.
  • Understand MCP fundamentals.
  • Connect common business tools in practical workflows.

Topics covered

  • Workflows
  • n8n
  • Make
  • APIs
  • AI Agents
  • Multi-Agents
  • MCP
  • Google Sheets
  • Calendly
  • Apollo

Tools covered

  • n8n
  • Make
  • Google Sheets
  • Calendly
  • Apollo

Curriculum

The current topic plan. The detailed lesson plan is shared when your group batch or 1-to-1 schedule is confirmed.

1. Module 1 — Automation Foundations
  • What automation is
  • Trigger and action concepts
  • Workflow logic
  • Data movement between apps
  • Common business automation use cases
2. Module 2 — n8n
  • Workflow editor
  • Nodes and connections
  • Triggers
  • Data mapping
  • Basic conditions and routing
  • Workflow testing
3. Module 3 — Make
  • Scenario structure
  • Modules and connections
  • Mapping data
  • Filters and routing
  • Practical workflow examples
4. Module 4 — APIs
  • What an API is
  • Requests and responses
  • Authentication concepts
  • JSON basics
  • Connecting external services
  • API troubleshooting fundamentals
5. Module 5 — AI Agents
  • Agent concepts
  • Instructions and tools
  • Agent workflows
  • When to use an agent vs normal automation
6. Module 6 — Multi-Agent Concepts
  • Multiple specialised agents
  • Routing tasks
  • Handoffs
  • Coordinated workflows
7. Module 7 — MCP
  • MCP fundamentals
  • Why MCP is useful
  • Tool and context connections
  • Practical architecture concepts
8. Module 8 — Business Tool Integrations
  • Google Sheets
  • Calendly
  • Apollo
  • Connecting data across workflows
  • Practical automation examples

Who this is for

  • Beginners interested in automation
  • Digital marketers
  • Freelancers
  • Business owners
  • Operations professionals
  • Learners interested in AI agents and workflow tools

Requirements

  • Basic computer and internet knowledge
  • Laptop or desktop with internet access
  • Willingness to work with structured data and app integrations
  • No prior automation experience is required

What you get

  • Live online classes
  • Class recordings
  • Course certificate
  • 1 year support
  • Group and 1-to-1 learning options

Frequently asked questions

Do I need coding experience?
No coding prerequisite has been specified for this course. The focus is on practical automation tools and concepts.
Which automation tools are covered?
n8n and Make are the primary workflow tools listed.
Are APIs included?
Yes, API concepts and integrations are part of the syllabus.
Does the course cover AI agents?
Yes. Agents, multi-agent concepts and MCP are included in the current syllabus.
Are recordings available?
Yes.

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Have questions about this course?

Send a query about AI Automation and we’ll get back to you with the details.