Secure AI Agent Discovery Starts Here!
As AI systems become more autonomous and interconnected, ensuring secure, scalable, and reliable agent discovery is no longer optional—it’s essential.

This course takes you inside the world of Agent Name Services (ANS), equipping you with the skills to design robust discovery protocols, manage agent identities, prevent spoofing, and build future-proof, interoperable systems.

Whether you’re an engineer, developer, or researcher, this course will give you the tools to bridge theory and real-world implementation in distributed AI agent networks.

What You’ll Learn:

• The fundamentals of Agent Name Services (ANS) and their purpose in AI networks.

• Naming conventions, addressing schemes, and namespace management for multi-agent systems.

• Secure discovery protocols to prevent spoofing, hijacking, and unauthorized access.

• Scalable ANS architectures for handling large, distributed agent networks.

• Theoretical discovery algorithms and trade-offs in speed, accuracy, and resources.

• Open standards, interoperability challenges, and cross-platform agent communication.

• Future directions of ANS including decentralized identity, blockchain, and ethical considerations.

This course is packed with practical examples, thought challenges, and real-world insights to help you build a strong foundation in secure agent discovery and naming systems for AI.

By the end of this course, you’ll have the knowledge and tools to design secure, scalable, and future-proof ANS solutions for distributed AI applications.

About the Instructor:

ProTech Academy

ProTech Academy is dedicated to providing high-quality training and resources for professionals and individuals looking to enhance their skills and productivity. Our experienced instructors are passionate about helping students achieve their goals through practical, hands-on learning.

Instructor Bio: Our instructors at ProTech Academy have extensive experience in project management, productivity tools, and team collaboration. They bring real-world knowledge and expertise to the courses, ensuring that students receive practical, actionable insights. Join us to learn from the best and take your productivity to the next level!

Enroll now and start building intelligent digital agents with confidence.

Whether you’re advancing your career or bringing innovation to your organization, this course will equip you with the knowledge and tools to succeed

Frequently Asked Questions (FAQ)

Q1: Do I need prior knowledge of AI or networking?
A: No, the course starts with basics and builds up gradually.

Q2: Is this course hands-on?
A: It’s mostly conceptual with practical thought exercises.

Q3: Can I apply this to IoT or robotics?
A: Yes, ANS concepts are relevant to all multi-agent systems.

Q4: Will we cover security threats?
A: Yes, including spoofing, hijacking, and prevention methods.

Q5: Do I need coding skills?
A: No, this course focuses on architecture and principles.

Who this course is for:

• AI and Machine Learning Engineers working on multi-agent systems
• Software Architects designing secure, distributed AI frameworks
• Cybersecurity professionals focused on agent communication security
• Computer Science students and researchers exploring agent discovery
• IoT and robotics developers needing scalable agent naming solutions