Agentic AI Architect - Production Operations and Enterprise Scale
Learn to deploy architecturally sound, safe agents at enterprise scale. This course covers observability, scaling, state management, CI/CD, cloud integration, monitoring, and incident response to turn demos into reliable, production-ready systems.
In partnership with
Overview
You've designed architecturally sound agents with proper safety mechanisms. Now you need to deploy them at enterprise scale with observability, reliability, and integration into your organization's cloud infrastructure.
Most agentic AI projects fail not because of poor agent design, but because of:
Lack of proper observability and evaluation frameworks
Inability to scale beyond single-user demos
Poor state management and session handling
No CI/CD pipeline for agent deployments
Missing integration with enterprise platforms (AWS, GCP, Azure)
Inadequate monitoring and incident response
This course teaches you production operations for agentic systems - the skills that separate proof-of-concepts from systems running reliably at enterprise scale.
Skills you'll gain
Production AI agent deployment Agent scalability and performance MLOps for agentic systems AI agent observability Distributed tracing for agents
What you'll learn
Design and implement scalable agent architectures using horizontal/vertical scaling, load balancing, caching strategies (semantic, response, KV), auto-scaling, and cost optimization techniques to handle enterprise workloads reliably.
Architect state management and persistence systems for agents including session lifecycle management, distributed state consistency, multi-agent synchronization, backup/recovery, and data architecture for production agentic systems.
Implement comprehensive observability using monitoring dashboards, distributed tracing, structured evaluation frameworks (Ragas, LangSmith), A/B testing, continuous evaluation, and feedback loops for agent improvement.
Deploy and integrate agents with hyperscaler platforms (AWS Bedrock/Lambda/ECS, GCP Vertex AI/Cloud Run, Azure OpenAI/Functions) following enterprise cloud architecture patterns and governance requirements.
Build CI/CD pipelines, implement deployment strategies (canary, blue-green), establish incident response procedures, manage SLOs, and apply reliability engineering patterns for production agent operations.
Design and implement advanced agent applications including multimodal agents (vision-language), code generation agents (with sandboxing), and domain-specific patterns (conversational, automation, decision support) with appropriate production safeguards.
Who Should Attend
Prerequisites
"This course is designed for MLOps and DevOps engineers, cloud architects, platform engineers, SREs, production engineers, AI engineers, ML practitioners, and technical leaders who are responsible for deploying, integrating, and maintaining reliable, enterprise-scale agentic AI systems, ensuring performance, observability, and ROI.
"Learners should have completed Course 1: Agentic AI Architect – Foundations and Design, or possess equivalent knowledge of agent architectures and design. They should understand cloud platforms (AWS, GCP, or Azure) and basic services, be familiar with CI/CD and DevOps practices, have a basic grasp of monitoring, logging, and observability concepts, and experience with APIs and webhooks. Understanding system scalability and performance concepts is helpful but not required.
Chapters
Explore a structured set of chapters designed to build your skills step by step, with practical examples and hands-on applications.
Meet your instructors
Scott Cosentino
View my channelFrequently Asked Questions
How much do the courses at Starweaver cost?
We offer flexible payment options to make learning accessible for everyone. With our Pay-As-You-Go plan, you can pay for each course individually. Alternatively, our Subscription-Based plan provides you with unlimited access to all courses for a monthly or yearly fee.
Do you offer any certifications upon completion of a course at Starweaver?
Yes, we do offer a certification upon completion of our course to showcase your newly acquired skills and expertise.
Does Starweaver offer any free courses or trials?
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6 hours of video content
Downloadable resources
Certificate of completion
Desktop and Mobile access
Scott Cosentino