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Free Download Enterprise Agentic AI Architecture Design to Production
Published 8/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 30m | Size: 806.74 MB
Design Production-Ready AI Agents with RAG, MCP, Multi-Agent Systems, Security, Governance, Evaluation & Observability
What you'll learn
Design production-ready Agentic AI architectures for complex enterprise use cases and business workflows
Architect AI agents using reasoning, memory, tools, RAG, orchestration, APIs, MCP and enterprise systems.
Design secure multi-agent systems with human oversight, authorization, governance and responsible autonomy.
Apply observability, evaluation, resilience, scalability and cost controls to operate Agentic AI in production.
Select appropriate agent patterns, autonomy levels and integration approaches for different enterprise scenarios.
Translate Agentic AI business Requirements into practical end-to-end enterprise architecture and production designs
Requirements
No prior Agentic AI expertise is required; the course builds the architecture concepts progressively
A basic understanding of software, cloud, APIs, enterprise systems or solution architecture will be helpful.
No hands-on programming is required - the course focuses on architecture, design decisions and production readiness.
Description
Agentic AI is moving beyond chatbots and isolated AI experiments. The real enterprise challenge is designing AI agents that can reason, retrieve context, use tools, collaborate with other agents, interact with enterprise systems, and operate safely in production.Enterprise Agentic AI Architecture: Design to Production is an architecture-focused course for professionals who want to understand how production-grade Agentic AI systems should actually be designed.
Rather than focusing only on prompts, frameworks, or coding demonstrations, this course examines the complete architecture of an enterprise Agentic AI platform - from the foundations of agentic systems through reasoning, memory, retrieval, tools, orchestration, multi-agent collaboration, integration, security, governance, observability, evaluation, resilience, and production operations.
Throughout the course, you will learn how to think about Agentic AI from anarchitect's perspective: where different capabilities belong, how they interact, what architectural decisions must be made, and what changes when an AI prototype becomes a production enterprise system.
You will explore topics including
- Agentic AI architecture and core architectural building blocks
- Reasoning, planning, memory and context management
- Retrieval-Augmented Generation (RAG) and enterprise knowledge
- Tool use, APIs and Model Context Protocol (MCP)
- Agent orchestration and multi-agent architectures
- Enterprise integration patterns and system boundaries
- Identity, authorization, security and governance
- Human-in-the-loop and responsible autonomy
- Observability and end-to-end agent tracing
- AI evaluation and production quality measurement
- Reliability, resilience, latency and cost controls
- Production operating models and architecture considerations
This course is designed primarily forEnterprise Architects, Solution Architects, AI Architects, Software Architects, Technical Leads, senior engineers, consultants and technology leaders who need to understand how Agentic AI fits into real enterprise architecture.
No hands-on programming is required. The emphasis is onarchitecture, patterns, design decisions and production readiness, rather than teaching a particular programming framework.
By the end of the course, you should be able to look beyond an individual AI agent and reason about the complete enterprise system required to make Agentic AIsecure, governed, observable, scalable and production-ready.
Who this course is for
Enterprise Architects, Solution Architects and AI Architects designing enterprise-grade Agentic AI solutions.
Software Architects, Technical Leads and Senior Engineers moving from traditional applications to AI agent architectures.
AI, Cloud and Platform professionals responsible for deploying secure, scalable and production-ready Agentic AI systems.
Technology leaders, consultants and transformation professionals who need to make architecture and governance decisions for Agentic AI.
Experienced technology professionals who understand Generative AI and want to progress from AI experimentation to enterprise-scale Agentic AI architecture.
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