Description
Agentic Architecture: Enterprise AI Agent Systems Design is a course on designing reliable, scalable, and secure AI agent systems for enterprise environments published by Udemy Online Academy. Designed for AI engineers, software architects, developers, and technical leaders, this course explores the architectural principles required to move AI agent systems from experimental prototypes to production-level business systems. Learners will study agent orchestration, programming and reasoning, tool and API integration, memory and context management, multi-agent architectures, enterprise data access, security, governance, evaluation, observability, and deployment strategies.
You implement ReAct and plan and execute together and measure the difference, expose enterprise systems through typographical and MCP tools, give your agent durable memory across sessions, turn a unified superagent into a coordinator/worker group, add interrupt-based human approval gates, and build an evaluation and tracking suite that detects regression before sending. By the end, you will have a decision framework for each major agent design choice, a functional reference implementation, and a vocabulary to confidently review each agent design.
What you will learn in Agentic Architecture: Enterprise AI Agent Systems Design:
- Choose deliberately between workflows, single agents, and multi-agent systems
- Apply ReAct, plan-and-execute, and reflection patterns — and know when each fits
- Design typed tool contracts and integrate enterprise systems via MCP
- Architect short-term session state and long-term memory with deliberate forgetting
- Decompose monolithic super-agents into orchestrator/worker topologies and weigh the tradeoffs
- Design human-in-the-loop approval gates, autonomy tiers, and audit trails
- Build the Agent Development Lifecycle: evals, tracing, versioning, CI gates
- Produce a reference architecture and ADR set for an agent platform
- and …
Course specifications
Publisher: Udemy
Instructors: Dr. Amar Massoud
Language: English
Level: Introductory to Advanced
Number of Lessons: 45
Duration: 4h 32m
Course topics
Agentic Architecture: Enterprise AI Agent Systems Design Prerequisites
Working Python knowledge and command-line comfort; Docker Desktop
No machine-learning background and no paid API keys required — all labs run locally
Pictures
Agentic Architecture: Enterprise AI Agent Systems Design 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
4 GB