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OpenClaw : AI Agent Automation Stack
New
7 students

OpenClaw : AI Agent Automation Stack

Run automated workflows with OpenClaw in a secure, scalable environment
New
Created byTechLatest Net
Last updated 8/2026
English

What you'll learn

  • Understand OpenClaw as an AI Agent Automation Stack and learn how to use it for practical, real-world automation workflows.
  • Learn how to install, configure, and deploy OpenClaw on Azure, GCP, and AWS.
  • Master the OpenClaw web interface, configure Telegram, and connect with AI agents to interact with and manage automated workflows.
  • Build and explore 4 real-world OpenClaw automation projects, including automating job searches and managing repetitive online tasks.

Course content

3 sections • 8 lectures • 1h 59m total length

  • 00-Course Overview2:11

    Get an overview of OpenClaw and discover how AI agents can automate real-world tasks. Explore AI models, agents, tools, skills, channels, and workflows, and see how OpenClaw can be used for job search, research, system administration, and business automation. You’ll also get an introduction to deploying OpenClaw across Azure, GCP, and AWS.

  • 01-introduction-to-openclaw17:15

    Get introduced to OpenClaw and learn how AI agents can connect models, tools, skills, and communication channels to automate real-world tasks. Understand the basic architecture, workflow, and key capabilities of OpenClaw before moving into practical automation and deployment.

Requirements

  • Basic understanding of AI concepts and large language models (LLMs) is recommended but not mandatory.
  • No prior experience with OpenClaw is needed—the course includes hands on demos and a guided setup to help you get started quickly.

Description

OpenClaw: Build AI-Powered Agents and Intelligent Automation

Explore OpenClaw, an open-source AI agent platform designed to build intelligent assistants and automate real-world workflows.

In this course, you’ll learn how OpenClaw brings together AI models, agents, tools, skills, communication channels, sessions, and the gateway to create powerful AI-driven workflows. You’ll understand how requests are received, processed through AI reasoning, matched with the right tools, and executed by AI agents.

You’ll also explore the OpenClaw Web Interface, Telegram integration, multi-LLM support, tool execution, and its extensible architecture.

What You’ll Learn

  • Understand OpenClaw and AI agent fundamentals

  • Explore agents, models, tools, skills, channels, gateway, and sessions

  • Use the OpenClaw Web Interface and Telegram integration

  • Understand AI reasoning, request intake, tool selection, and execution

  • Build practical AI-powered automation workflows

  • Configure agent instructions, identity, and user context

  • Automate job searching, news monitoring, research, and reporting

  • Build technical and business-focused AI workspaces

  • Use AI agents for Ubuntu system administration and automation

Real-World Use Cases

You’ll explore practical examples such as automated job searching, daily news monitoring, technical research, Ubuntu server management, VM readiness reports, business reporting, and marketing automation.

Who Is This Course For?

This course is ideal for developers, DevOps engineers, IT professionals, cloud engineers, AI enthusiasts, and anyone interested in AI agents and automation.

Learn how to turn OpenClaw into a powerful digital assistant for intelligent automation, cloud operations, research, business workflows, and everyday productivity.

Who this course is for:

  • This course is designed for developers, DevOps engineers, IT professionals, AI enthusiasts, Technical teams building or prototyping LLM-powered applications with collaborative agents and anyone interested in learning how to build, deploy, and use AI agents for real-world automation and productivity.

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