Are your GenAI agents engineered to be production-ready?
As agentic systems move from prototypes into real products, teams must manage not just prompts and tools, but end-to-end workflows, performance, observability, secure integration, and governance. This series equips builders to design agents that hold up under real-world load, ambiguity, and operational constraints.
To Win, your teams must be able to design and operate agents with clear contracts, repeatable tuning loops, and practical observability—then connect those agents to secure workflows and measurable KPIs so they can scale responsibly.
The Challenge
Production agents fail differently than demos: they degrade over time, accumulate hidden costs, and behave unpredictably when toolchains, data, or inputs shift.
- Teams struggle to define stable agent workflows with explicit input/output contracts, safe branching, and structured outputs.
- Agent performance is hard to baseline and tune as latency, accuracy, and cost trade off under real usage.
- Limited observability makes agent behavior opaque—debugging becomes guesswork across prompts, tools, and intermediate steps.
- Integrations introduce operational risk: eventing, queues, services, permissions, and failure handling must be engineered, not improvised.
- Without strategy and governance alignment, agent initiatives drift—value is difficult to prove, and risk partners lose confidence.
Gaps in workflow design, performance management, observability, and strategy will keep agent efforts stuck in fragile prototypes—producing inconsistent outcomes, escalating costs, and limited enterprise adoption.
Our Solution
The Advanced GenAI Agents Certification series focuses on mastering foundational workflow, performance, observability, integration, and strategy patterns for production agents. Participants will:
- Work through curated labs and notebooks, then assemble an integrated capstone in an IDE.
- Explore real-world agent workflows, prompts, schemas, and integrations in guided labs that surface behavior, failure modes, and tuning levers.
- Build practical dashboards, traces, and automation patterns that make agent behavior observable, debuggable, and safe to scale.
- Apply these patterns in a structured capstone, constructing an end-to-end agent flow that links technical design to clear business and governance outcomes.
Area of Focus
- Defining Agent Workflows with Prompts & Outputs — Design prompt-driven agent workflows with clear input-output contracts, structured JSON schemas, and safe branching and guardrail patterns.
- Baselining & Optimizing Your Agent Performance — Establish benchmarks, metrics, and tuning cycles that keep agents accurate, fast, and cost-effective as usage grows.
- Visualizing Agent Interactions & Data — Build rich traces and visual views of agent behavior so you can understand, debug, and improve what happens between input and output.
- Automating & Integrating AI Agents in Workflows — Wire agents into event-driven, secure, production workflows that coordinate cleanly with queues, services, and APIs.
- Integrating AI Agents into Your Business & Go-to-Market Strategy — Align agent initiatives to KPIs, ROI, governance, and go-to-market plans so efforts are focused, measurable, and scalable.
Skills You'll Gain
- End-to-End Agent Lifecycle Design — Architect coherent agent flows from prompts and tools through observability, integration, and strategy.
- Agent Performance & Cost Management — Define benchmarks, monitor behavior, and tune agents to stay reliable, responsive, and within budget.
- Agent Observability & Debugging — Move from opaque logs to practical traces and views that accelerate triage, diagnosis, and fixes.
- Enterprise Workflow Integration — Connect agents safely to eventing systems, services, and tools using reusable integration and MCP-based patterns.
- Strategy, KPIs & Governance for Agents — Tie agents to business value, KPIs, and governance frameworks that leaders and risk partners can trust.
Who Should Attend:
Explore our Advanced Agents Certification Workshops
Help your teams master Advanced Agentic AI methods. Click below to explore each workshop in the Advanced Agents certification series.
Defining Agent Workflows with Prompts & Outputs
Baselining & Optimizing Your Agent Performance
Visualizing Agent Interactions & Data
Automating & Integrating AI Agents in Workflows
Integrating AI Agents into your Business & Go-to-Market Strategy