Description
Mastering Agentic AI: From Prompt to Protocols to Production is a course on basic instructional engineering and an introduction to the world of autonomous, goal-directed AI systems published by Udemy Online Academy. This is a comprehensive course designed to take learners beyond basic instructional engineering and into the world of autonomous, goal-directed AI systems. The course explores how agentic AI plans, reasons, acts, and collaborates with tools and other agents to solve complex problems. You will learn how to design, structure, and deploy intelligent agents that evolve from simple instructions to robust protocols and ultimately to reliable, production-ready systems.
In this hands-on course, Mastering Agent-Based AI: From Prompt to MCP – A2A to Production, you will use LLM APIs for customer engagement – adaptable to any provider, with practical examples using DeepSeek for its superior cost benefits – to build intelligent agents ready for the 2025 ecosystem – complete with MCP for tool interoperability and A2A for seamless communication between agents. By the end of the course, you will have a set of real-world projects: a deep research agent that combines the aforementioned insights, a collaborative multi-agent team, and a production pipeline monitored from start to finish. No hassle – just code, evaluate, and deploy using Python, adaptable LLM APIs, and open-source stacks.
What you will learn in Mastering Agentic AI: From Prompt to Protocols to Production:
- Master the core components of agent-oriented AI, including perception, reasoning, action loops, and LLM constraints to build autonomous systems.
- Use advanced excitation techniques such as Chain-of-Thought, ReAct, and Tree of Thoughts to augment LLM reasoning and solve complex multi-step tasks.
- Design RAG pipelines, vector databases, and episodic memory systems to enable agents to retain and retrieve knowledge over the long term.
- Build, test, and deploy scalable multi-agent systems using MCP/A2A protocols, with robust safety safeguards, evaluation metrics, and production optimizations.
- And…
Course specifications
Publisher: Udemy
Instructors: Vinit Singh
Language: English
Level: Introductory to Advanced
Number of Lessons: 150
Duration: 37 hours and 42 minutes
Course topics

Mastering Agentic AI: From Prompt to Protocols to Production Prerequisites
Key Prerequisite: Basic proficiency in Python programming and familiarity with large language models (LLMs) or APIs.
Accessibility Note: No prior agent-building experience required—ideal for motivated beginners with foundational AI knowledge; we’ll ramp up on tools like Prometheus, Jaeger, ELK Stack, and DeepSeek API usage through practical examples.
Pictures

Mastering Agentic AI: From Prompt to Protocols to Production introduction video
Installation guide
After Extract, watch with your favorite Player.
Subtitle: None
Quality: 1080p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
19.2 GB