Description
Master OpenClaw (ClawdBot) with Kimi K2.5: A Hands-On Guide is a course on using OpenClaw with Kimi K2.5 published by Udemy Online Academy. This course is a hands-on, hands-on, step-by-step guide that teaches you how to use OpenClaw (formerly ClawdBot) with Kimi K2.5 – a powerful AI model – to build intelligent, autonomous agents and workflows that solve real-world problems. You will learn how to set up and integrate OpenClaw with Kimi K2.5, configure secure credentials, and design agents that can understand inputs, make decisions, interact with APIs, perform tasks, and produce meaningful outputs without hand-coding.
This hands-on course is your hands-on, step-by-step guide to OpenClaw (ClawdBot) powered by Kimi K2.5. You’ll go from scratch to confidently implementing and deploying OpenClaw on AWS EC2, while understanding how it works behind the scenes and how to apply it to real-world scenarios. By the end, you’ll be able to confidently build and deploy AI agent applications that combine OpenClaw’s orchestration capabilities with the advanced language and decision-making power of Kimi K2.5, and key topics including platform setup, workflow design, AI integration, error management, and deployment strategies are covered in a cohesive learning experience.
What you will learn in Master OpenClaw (ClawdBot) with Kimi K2.5: A Hands-On Guide:
- What is OpenClaw
- Deploying an Ubuntu AWS Virtual Machine
- Installing and Configuring OpenClaw
- Connecting and Using OpenClaw with Real Tools
- And…
Course specifications
Publisher: Udemy
Instructors: SkillForge Academy
Language: English
Level: Introductory
Number of Lessons: 9
Duration: 43 minutes
Course topics
Master OpenClaw (ClawdBot) with Kimi K2.5: A Hands-On Guide Prerequisites
Basic familiarity with command-line tools
An active Aws subscription
Pictures
Master OpenClaw (ClawdBot) with Kimi K2.5: A Hands-On Guide introduction video
Installation guide
After Extract, watch with your favorite Player.
Subtitle: None
Quality: 1080p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
640 MB
