Openclaw Crash Course: From Beginner To Pro Build Ai Agents
Published 4/2026
Created by Codestars • over 2.5 million students worldwide!, Caner ŞEKERCİ
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 13 Lectures ( 2h 55m ) | Size: 1 GB
What you'll learn
✓ Developing AI Agents with OpenClaw
✓ AI Agent operating principles
✓ LLM and Agent Difference
✓ No Code RAG Architecture Design
✓ No Code AI Agent Design : Data Analyst Agent
✓ Using the Google Antigravity
✓ Using AnythinkLLM for No Code Agent & RAG
Requirements
● You won't need any coding knowledge. A no-code training program, both theoretical and practical, awaits you.
Description
If you want to move beyond simply using AI tools and start building real, autonomous AI systems, this course is designed for you. Instead of generic prompt engineering, you will learn how to design, develop, and deploy AI agents that can think, decide, and take action. Using OpenClaw as the core platform-alongside AnythingLLM and Google Antigravity-you will build practical, production-ready agents with no-code and low-code approaches.
This course follows a real-world, system-oriented approach used in modern AI companies. You won't just learn concepts-you will create working agents step by step, from idea to deployment, including integrations like Telegram bots.
By the end of this course, you will be able to
• Understand the difference between LLMs, automation, and AI agents
• Design and implement the Agent Lifecycle from scratch
• Build autonomous agents using OpenClaw, AnythingLLM, and Antigravity
• Apply tool usage, memory, and decision-making logic in real scenarios
• Create no-code AI workflows and deploy them in real environments
• Develop a complete AI agent project ready for real-world use
• Master AI agents, automation workflows, and real-world deployment with cutting-edge tools
If your goal is to build AI-powered products and systems, not just experiment with tools, this course will give you a strong competitive advantage.
Who this course is for
■ Artificial Intelligence Enthusiasts
■ Data Scientists
■ Software & AI Developers
■ Anyone who wants to improve themselves
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