Advanced Agents Certification Series
Baselining & Optimizing Your Agent Performance
Workshop
Do your agents stay fast, accurate, and affordable as usage grows?
Agent performance is now a foundational capability for production GenAI, but without baselines, metrics, and tuning, small changes quietly degrade quality, spike latency, and increase cost.
To win, your GenAI solutions need to run on clearly baselined, observable agents with disciplined tuning and cost control.
The Challenge
Without a strong approach to agent performance, teams struggle to:
- Define “good enough” — Rely on ad hoc tests and anecdotes instead of shared performance targets and benchmarks.
- Know if changes help or hurt — Ship new prompts, tools, or models without scenario-based metrics or regression checks.
- Control latency and cost — Miss early signals of slowness and spend until users and stakeholders complain.
Performance gaps will drive quality issues, higher costs, and eroding trust in your agents.
Our Solution
In this hands-on workshop, your team designs, measures, and tunes agent performance using curated notebooks, traces, and dashboards that mirror real workloads. Areas of focus include:
- Interactive performance labs — Inspect traces, latency profiles, and error patterns in preconfigured agents.
- Scenario-based benchmarking — Define tasks and test cases that reflect real user journeys and SLAs.
- Metrics & dashboards — Wire up accuracy, latency, and cost into practical, team-friendly views.
- Tuning & experiment cycles — Run disciplined experiments on prompts, parameters, tools, and routing choices.
- Reliability harness & coaching — Build a performance and resilience harness with live feedback on your plans.
Skills You'll Gain
- Clear agent benchmarks — Define and socialize performance targets across key scenarios and journeys.
- Latency and cost optimization — Identify bottlenecks and tune agents to stay responsive and within budget.
- Reliability and regression detection — Catch quality drops early with monitoring and test harnesses that reflect reality.
- Structured experimentation — Run repeatable tuning cycles on prompts, parameters, and tools instead of guesswork.
- Stakeholder-ready reporting — Communicate performance, risk, and improvements with metrics leadership trusts.
Who Should Attend:
Solution Essentials
Format
Virtual or in-person
Duration
4 Hours
Skill Level
Intermediate Python and GenAI experience recommended
Tools
Jupyter notebooks, observability and tracing tools, preconfigured agent examples
Explore the Remaining Advanced Agents Certification Workshops
Help your teams master Advanced Agentic AI methods. Click below to explore the remaining workshops in the Advanced Agents certification series.
Defining Agent Workflows with Prompts & Outputs
Visualizing Agent Interactions & Data
Automating & Integrating AI Agents in Workflows
Integrating AI Agents into Your Business & Go-to-Market Strategy