| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1 - Foundations of AI Operating Systems | |||
| 1. What is an AI Operating System.mp4 | 79.3 MB | ||
| 10 - Wrap-Up & Next Steps | |||
| 19. From Builder to AI Architect.mp4 | 71.3 MB | ||
| 2 - Building Intelligent Agents (Claude) | |||
| 3 - Multi-Agent Systems & Orchestration | |||
| 4 - Memory Systems with ClawDB | |||
| 5 - Execution Layer with OpenClaw | |||
| 10. Workflow Automation Systems.mp4 | 83.6 MB | ||
| 6 - Interfaces & Integrations | |||
| 11. Building AI Interfaces.mp4 | 111.9 MB | ||
| 12. External Integrations.mp4 | 87.1 MB | ||
| 7 - Long-Running & Autonomous Systems | |||
| 13. Continuous AI Systems.mp4 | 107.6 MB | ||
| 14. Feedback Loops & Self-Improvement.mp4 | 97 MB | ||
| 8 - Debugging, Safety & Optimization | |||
| 15. Debugging AI Systems.mp4 | 99.3 MB | ||
| 16. Performance & Cost Optimization.mp4 | 114.2 MB | ||
| 9 - Capstone Projects (HIGH VALUE) | |||
| 17. Project 1 Personal AI Operating System.html | 14.7 KB | ||
| 18. Project 2 AI Business Automation System.html | 12.3 KB | ||
| 9. Tool Calling & Function Execution.mp4 | 99.5 MB | ||
| 7. Designing Memory in AI Systems.mp4 | 88.2 MB | ||
| 8. Retrieval & Context Injection.mp4 | 122.5 MB | ||
| 5. From Single Agent → Multi-Agent.mp4 | 87 MB | ||
| 6. Supervisor & Worker Architectures.mp4 | 80.7 MB | ||
| 3. Designing Agent Behavior.mp4 | 113.3 MB | ||
| 4. Multi-Step Agent Thinking.mp4 | 92.6 MB | ||
| 20. Career & Business Paths.mp4 | 65 MB | ||
| 2. Core Components of AI Systems.mp4 | 78.7 MB |
AI Operating System Bootcamp: OpenClaw + Claude + Clawdbot
https://WebToolTip.com
Published 3/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 4h 9m | Size: 1.64 GB
Build a full AI OS using Claude, multi-agent systems, memory, and automation with real-world projects
What you'll learn
Build a complete AI Operating System by combining agents, memory, and automation into one unified system
Design and deploy intelligent AI agents using structured prompts, reasoning, and multi-step workflows
Create and manage multi-agent systems with supervisor-worker architectures and task orchestration
Implement memory-driven AI systems using vector databases, embeddings, and context injection techniques
Develop tool-calling and automation pipelines to connect AI with real-world APIs, workflows, and data systems
Build long-running autonomous AI systems with event-driven execution, scheduling, and feedback loops
Optimize AI systems for performance, cost, and scalability including token efficiency and latency reduction
Apply skills through real-world projects like personal AI assistants, business automation systems, and research agents
Requirements
Basic understanding of programming concepts (Python or JavaScript is helpful but not mandatory)
Familiarity with using web applications and APIs is a plus, but everything will be explained step-by-step
No prior experience in AI or machine learning is required — this course starts from fundamentals
A computer or laptop with a stable internet connection
Willingness to learn by building real-world projects and experimenting with AI systems
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Udemy - Quantum Computing - From Basics to Business and AI Applications Posted by
freecoursewb in Other
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| 2.5 GB | freecoursewb | 1 week | 10 | 12 | |
| 500 MB | freecoursewb | 1 week | 13 | 7 | |
| 1.1 GB | freecoursewb | 1 week | 51 | 3 | |
| 2.5 GB | freecoursewb | 2 weeks | 20 | 11 |
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