Contenuti dettagliati del Corso
Module 1 - The Diagnostic Mindset
Topics:
- 1. The Failure Quartet (Theory)
- 2. The Latency Tax (The Constraint)
- 3. Trace Analysis (The Tool)
Objectives:
- Isolate Root Failures: Map runtime errors directly to the specific pillar of the Failure Quartet (Brain, Past, Hands, or Perimeter) causing the breakdown.
- Diagnose Lost Reasoning: Perform forensic trace analysis to pinpoint the exact moment an agent deviates from its logical execution path.
- Fix Latency Bottlenecks: Identify and eliminate the "Brute Force" fallacy where over-provisioning compute tokens destroys system response times.
Activities:
- 1 use case, 2 demos
Module 2 - Tuning the Engine
Topics:
- 1. Tuning the Past (Retrieval Optimization)
- 2. Tuning the Hands (Tool-Call Refinement)
- 3. Tuning the Brain (Instruction Distillation)
Objectives:
- Cure Memory Drowning: Apply context pruning and token summarization to keep the agent focused strictly on relevant, high-value data.
- Eliminate Execution Errors: Structure tool schemas and API documentation so the agent executes external code without logical leaps.
- Lean Out Prompts: Use instruction distillation to shrink bloated, expensive system instructions into tight, deterministic runtime logic.
Activities:
- 2 use cases, 2 demos
Module 3 - Optimizing the Guardrails
Topics:
- 1. RAI as a Performance Metric (Compliance)
- 2. Tuning the Perimeter (Gateway Security)
- 3. The Forensic HITL Stamp (Human Loop)
Objectives:
- Replace Vibe Checks: Deploy quantitative safety scorecards to measure compliance using hard, repeatable metrics instead of guesswork.
- Optimize Security Latency: Tune platform safety layers to achieve maximum data protection without causing user-facing lag.
- Master Human-in-the-Loop: Deploy a confidence-scored intervention workflow to loop in a human only when the agent's logic score drops.
Activities:
- 1 use case, 2 Demos
Module 4 - Scaling Excellence
Topics:
- 1. The Pilot’s Logbook (Golden Datasets)
- 2. Continuous Optimization (CI/CO)
- 3. The Performance Tuning Roadmap
Objectives:
- Build a Performance Baseline: Construct a master logbook of "Golden Datasets" to serve as your absolute ground truth for testing.
- Automate Defenses: Establish an automated feedback loop that flags and patches logical drift the moment an agent begins to degrade in production.
- Prove Financial ROI: Translate technical telemetry into board-ready metrics that prove real corporate capacity gains against cloud infrastructure costs.
Activities:
- 1 use case, 2 Demos