Latest videos about Multi-Agent Systems
Agentic AI – Complete Course for Beginners
- The video provides a comprehensive course on building production-ready multi-agent systems and automating workflows using LangChain and LangGraph. - It covers fundamental concepts like agentic AI, Pydantic validation, asynchronous programming, and advanced LangGraph workflows (sequential, parallel, conditional, iterative). - The course emphasizes practical application through real-world projects, including a custom ChatGPT-like trip planner and an auto-content agent. - Key features of agentic AI, such as autonomy, goal-orientation, planning, reasoning, adaptability, and context awareness, are explained in detail. - The course also includes deployment strategies to cloud platforms like AWS and Render, along with CI/CD pipeline setup, and introduces observability tools like LangSmith.
AI Agents For Beginners – OpenClaw Case Study
- This course offers a beginner-friendly, hands-on approach to building real AI agents, moving from LLM fundamentals to multi-agent systems without complex setup. - Led by Mumshed, founder of CodeCloud, the course emphasizes practical skills, culminating in a case study of OpenClaw, a production-inspired AI agent. - Participants will build four specialized AI agents (Zippy, Savvy, Meshy, Cody) to understand orchestration, research, memory, and coding capabilities. - The curriculum covers core AI concepts like LLM architecture (transformers, pre-training, generation), tokenization, temperature, context windows, and effective prompting techniques. - The course provides hands-on lab environments with pre-configured API keys and cloud sandboxes, allowing learners to focus purely on building and deploying AI agents.