Description
Build with AI: Create Deterministic MCP Agents. This technical and specialized course teaches how to build agents based on the Model Context Protocol (MCP) with predictable and deterministic behavior. The course begins with an introduction to foundational concepts such as the PMAT framework and the Toyota Way philosophy. It then explores the tradeoff between determinism and scope of performance and quality metrics in field service management. The MCP architecture section provides protocol structure and statistical analysis of popular programming languages. Six critical quality metrics and essential test types, including feature testing and phase testing using agent-based AI, are covered to create robust agents. The course also demonstrates the use of tools such as Claude in conjunction with PMAT to improve testing processes. Finally, participants are shown how to implement these concepts in real-world scenarios through real-world examples and projects.
What you will learn
- Fundamentals and Infrastructure: Thorough understanding of PMAT concepts and application of the Toyota Way methodology in the AI development process.
- Trade-off analysis: Learning how to manage the conflict between the certainty of an agent’s behavior and the breadth of the tasks assigned to it.
- MCP Protocol Architecture: Mastering the structure and various layers of the model text protocol for effective communication with artificial intelligence.
- Quality measurement criteria: Familiarity with the 6 main quality criteria and implementation of specialized tests to evaluate the stability of agents.
- Advanced Testing: Using artificial intelligence to perform Property Testing and Fuzz Testing to find potential bugs.
- Auxiliary tools: How to interact with the Claude model and combine it with testing systems to improve the quality of projects.
- Field Service Management: Understanding FSM quality metrics and their application in intelligent agent-based systems.
- Practical projects: Observe and review real-world implementations to transform theoretical knowledge into practical skills.
This course is suitable for people who:
- Artificial Intelligence Software Developers: People who seek engineering methods to create intelligent systems with repeatable behavior.
- Intelligent Agent Specialists: Engineers who intend to deepen their knowledge in the field of AI Agents and modern communication protocols.
- AI enthusiasts: Anyone looking to learn the latest methodologies in the field of language models and text protocols.
- System architects: Specialists who are responsible for designing intelligent infrastructures with high reliability.
- Technology researchers: People who seek to understand the relationship between the popularity of programming languages and the sustainability of intelligent systems.
Build with AI: Create Deterministic MCP Agents Course Details
- Publisher: LinkedIn
- Instructor: Pragmatic AI Labs , Noah Gift
- Training level: Advanced
- Training duration: 1 hour
Course topics
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: English
Quality: 720p
Download link
Downloadly
Rapidgator link
File(s) password: www.downloadly.ir
File size
99 MB
