Tags
Language
Tags
July 2025
Su Mo Tu We Th Fr Sa
29 30 1 2 3 4 5
6 7 8 9 10 11 12
13 14 15 16 17 18 19
20 21 22 23 24 25 26
27 28 29 30 31 1 2
    Attention❗ To save your time, in order to download anything on this site, you must be registered 👉 HERE. If you do not have a registration yet, it is better to do it right away. ✌

    https://sophisticatedspectra.com/article/drosia-serenity-a-modern-oasis-in-the-heart-of-larnaca.2521391.html

    DROSIA SERENITY
    A Premium Residential Project in the Heart of Drosia, Larnaca

    ONLY TWO FLATS REMAIN!

    Modern and impressive architectural design with high-quality finishes Spacious 2-bedroom apartments with two verandas and smart layouts Penthouse units with private rooftop gardens of up to 63 m² Private covered parking for each apartment Exceptionally quiet location just 5–8 minutes from the marina, Finikoudes Beach, Metropolis Mall, and city center Quick access to all major routes and the highway Boutique-style building with only 8 apartments High-spec technical features including A/C provisions, solar water heater, and photovoltaic system setup.
    Drosia Serenity is not only an architectural gem but also a highly attractive investment opportunity. Located in the desirable residential area of Drosia, Larnaca, this modern development offers 5–7% annual rental yield, making it an ideal choice for investors seeking stable and lucrative returns in Cyprus' dynamic real estate market. Feel free to check the location on Google Maps.
    Whether for living or investment, this is a rare opportunity in a strategic and desirable location.

    Secure Ai Agent Discovery With Agent Name Service (Ans)

    Posted By: ELK1nG
    Secure Ai Agent Discovery With Agent Name Service (Ans)

    Secure Ai Agent Discovery With Agent Name Service (Ans)
    Published 7/2025
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English | Size: 835.92 MB | Duration: 4h 31m

    Build a robust and secure name service for your AI agents. Learn to manage, discover, and protect multi-agent systems.

    What you'll learn

    Understand the core principles and architecture of an Agent Name Service (ANS) for multi-agent systems.

    Implement a basic, secure ANS with registration and discovery APIs from scratch.

    Apply key security concepts like agent authentication and authorization to protect your agent communications.

    Analyze advanced ANS topics including decentralized models, health checking, and scalability strategies for production environments.

    Requirements

    Basic understanding of AI concepts and agents. Familiarity with programming concepts and APIs (examples may use Python or general API design principles). No prior experience with agent name services is required.

    Description

    Welcome to the definitive guide on creating a secure and efficient Agent Name Service (ANS) for your AI agent ecosystems! As AI systems become more complex, involving dozens or even hundreds of specialized agents, the challenge of enabling them to find and communicate with each other securely becomes critical. This course is your solution.In this comprehensive course, we will demystify the concept of an Agent Name Service, a crucial piece of infrastructure for any serious multi-agent system. You will move from foundational theory to hands-on implementation, equipping you with the skills to build, deploy, and manage a robust ANS from the ground up.We'll start by exploring the fundamentals of AI agents and the rise of multi-agent systems. You will quickly understand why traditional service discovery methods fall short and why a specialized ANS is necessary for managing the dynamic and complex interactions in modern AI applications. We will cover the core principles, key components, and the essential processes of agent registration, deregistration, and discovery.Security is a paramount concern in any distributed system, and AI agents are no exception. A significant portion of this course is dedicated to ensuring your ANS is secure. You will learn about agent identity, robust authentication mechanisms, authorization protocols to enforce access control, and how to establish secure communication channels to prevent eavesdropping and tampering. We will make sure your agents are talking only to whom they are supposed to be talking to.Then, we'll roll up our sleeves and get practical. Guided by step-by-step instructions, you will design and implement a basic ANS. This includes designing the data schema, setting up the necessary infrastructure, and building the core API endpoints for registration and discovery. You'll gain invaluable hands-on experience that you can apply directly to your own projects.Once you've mastered the basics, we'll dive into advanced topics that will prepare you for real-world production environments. We'll compare and contrast decentralized versus centralized ANS architectures, discuss strategies for agent health checking and liveness probes, explore common service discovery patterns, and address the critical challenge of scaling your ANS to handle a large number of agents and high query loads.To tie it all together, we'll examine practical applications and real-world case studies. You'll see how an ANS can be a game-changer in automated supply chains, smart home device coordination, and complex financial services systems. By the end of this course, you will not just understand the theory; you will have the practical skills and confidence to design and implement a secure, scalable, and efficient Agent Name Service for any multi-agent system you can imagine. Join now to start building the backbone of tomorrow's AI applications!

    Overview

    Section 1: Introduction to Secure AI Agent Discovery

    Lecture 1 Welcome to the Course

    Section 2: Foundations of AI Agents

    Lecture 2 What Are AI Agents

    Lecture 3 The Rise of Multi-Agent Systems

    Lecture 4 Challenges in Agent Communication

    Lecture 5 The Need for a Naming Service

    Section 3: Core Principles of ANS

    Lecture 6 Introducing the Agent Name Service

    Lecture 7 Key Components of an ANS

    Lecture 8 Agent Registration and Deregistration

    Lecture 9 Querying for Agents and Services

    Section 4: Ensuring Security in ANS

    Lecture 10 The Importance of Secure Discovery

    Lecture 11 Agent Identity and Authentication

    Lecture 12 Authorization and Access Control

    Lecture 13 Secure Communication Channels

    Section 5: Implementing a Basic ANS

    Lecture 14 Designing the ANS Schema

    Lecture 15 Setting Up the Infrastructure

    Lecture 16 Building the Registration API

    Lecture 17 Developing the Discovery API

    Section 6: Advanced ANS Topics

    Lecture 18 Decentralized vs Centralized ANS

    Lecture 19 Agent Health Checking and Liveness

    Lecture 20 Service Discovery Patterns

    Lecture 21 Scaling Your Agent Name Service

    Section 7: Practical Applications and Case Studies

    Lecture 22 ANS in Automated Supply Chains

    Lecture 23 Use Case Smart Home Device Coordination

    Lecture 24 Case Study Financial Services Agents

    Lecture 25 Integrating ANS with Existing Systems

    Section 8: Course Summary

    Lecture 26 Recap and Future of ANS

    This course is designed for AI developers, software engineers, and system architects who are working with or interested in building multi-agent systems. It is also valuable for students and researchers exploring advanced AI topics. If you want to learn how to manage, discover, and securely communicate between multiple AI agents, this course is for you.