| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 01. Introduction | |||
| 01. Kickstart evaluation of AI agents with Google ADK.mp4 | 5.3 MB | ||
| 01. Kickstart evaluation of AI agents with Google ADK.srt | 1.5 KB | ||
| 02. 1. Evaluate a Working AI Agent | |||
| 01. Project kickoff Running a procurement agent.mp4 | 10.8 MB | ||
| 01. Project kickoff Running a procurement agent.srt | 4.8 KB | ||
| 02. When “correct” is dangerous A policy violation demo.mp4 | 14.2 MB | ||
| 02. When “correct” is dangerous A policy violation demo.srt | 5.1 KB | ||
| 03. 2. Make the Agent Eval‑Ready | |||
| 01. ADK project structure and agent.yaml.mp4 | 16.6 MB | ||
| 01. ADK project structure and agent.yaml.srt | 7.7 KB | ||
| 02. Binding tools to the agent.mp4 | 14.9 MB | ||
| 02. Binding tools to the agent.srt | 5.5 KB | ||
| 03. Schema as a contract Pydantic enforcement.mp4 | 17.8 MB | ||
| 03. Schema as a contract Pydantic enforcement.srt | 8.1 KB | ||
| 04. 3. Expose Logic Failures | |||
| 01. Trap mocks Forcing the agent to reason.mp4 | 12.3 MB | ||
| 01. Trap mocks Forcing the agent to reason.srt | 5.7 KB | ||
| 02. Anatomy of a trace Thought, action, observation.mp4 | 9.7 MB | ||
| 02. Anatomy of a trace Thought, action, observation.srt | 5.3 KB | ||
| 03. Visual debugging with ADK Trace View.mp4 | 13.1 MB | ||
| 03. Visual debugging with ADK Trace View.srt | 5.8 KB | ||
| 05. 4. Formalizing Evaluation | |||
| 01. Capturing golden traces.mp4 | 12.1 MB | ||
| 01. Capturing golden traces.srt | 4.4 KB | ||
| 02. Trajectory matching rules.mp4 | 14.9 MB | ||
| 02. Trajectory matching rules.srt | 6.9 KB | ||
| 03. Testing memory Context persistence.mp4 | 12.6 MB | ||
| 03. Testing memory Context persistence.srt | 7.2 KB | ||
| 04. Organizing EvalSets for scale.mp4 | 8.2 MB | ||
| 04. Organizing EvalSets for scale.srt | 6.2 KB | ||
| 06. 5. Scaling Evaluation with Metrics | |||
| 01. Running headless eval batches.mp4 | 10 MB | ||
| 01. Running headless eval batches.srt | 5.9 KB | ||
| 02. Interpreting scores Trajectory vs. semantic.mp4 | 8.6 MB | ||
| 02. Interpreting scores Trajectory vs. semantic.srt | 6.4 KB | ||
| 03. Pass@k and non‑determinism.mp4 | 8.9 MB | ||
| 03. Pass@k and non‑determinism.srt | 5.5 KB | ||
| 04. Reliability vs luck.mp4 | 10.1 MB | ||
| 04. Reliability vs luck.srt | 5.2 KB | ||
| 07. 6. Judges, Guardrails, and Production Readiness | |||
| 01. LLM‑as‑a‑judge Custom rubrics.mp4 | 11.1 MB | ||
| 01. LLM‑as‑a‑judge Custom rubrics.srt | 6.5 KB | ||
| 02. Groundedness and faithfulness checks.mp4 | 20.8 MB | ||
| 02. Groundedness and faithfulness checks.srt | 9.7 KB | ||
| 03. Safe refusal via negative logic.mp4 | 14.3 MB | ||
| 03. Safe refusal via negative logic.srt | 7 KB | ||
| 04. Regression gates in CICD.mp4 | 7.1 MB | ||
| 04. Regression gates in CICD.srt | 4.7 KB | ||
| 08. 7. Synthesis and Next Steps | |||
| 01. Debugging playbook Prompt vs. tool vs. model.mp4 | 11 MB | ||
| 01. Debugging playbook Prompt vs. tool vs. model.srt | 7.4 KB | ||
| 02. From vibe checks to verifiable agents.mp4 | 7.1 MB | ||
| 02. From vibe checks to verifiable agents.srt | 5.9 KB | ||
| 03. Congratulations and keep going.mp4 | 3.1 MB | ||
| 03. Congratulations and keep going.srt | 1.1 KB | ||
| 04. First eval Did the agent call the right tool.mp4 | 17.3 MB | ||
| 04. First eval Did the agent call the right tool.srt | 7.4 KB | ||
| 03. Why final answers lie for agents.mp4 | 7.4 MB | ||
| 03. Why final answers lie for agents.srt | 4.8 KB | ||
| 04. Paths, not strings Execution trajectories.mp4 | 9 MB | ||
| 04. Paths, not strings Execution trajectories.srt | 4.5 KB |
Evaluating AI Agents with Google ADK
https://WebToolTip.com
Released 6/2026
With Jigyasa Grover
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 2h 25m | Size: 308.3 MB
Master a deterministic framework for building, auditing, and scaling production‑grade AI agents using trajectory‑based evaluation and the Google Agent Development Kit (ADK).
Course details
AI agents are transforming how organizations automate complex workflows, but deploying them reliably requires rigorous evaluation methods that go beyond traditional testing. In this course, instructor Jigyasa Grover teaches you how to build production-grade AI agents using the Google Agent Development Kit (ADK) with a focus on deterministic evaluation, trace analysis, and safety guardrails. Learn how to design eval-ready architectures using structured tool interfaces and Pydantic schemas, then audit agent reasoning through trajectory matching and Golden Trace baselines. Jigyasa shows you how to implement scalable benchmarking with headless batch evaluations, Pass@k reliability tests, and LLM-as-a-Judge scoring systems. Explore production safety patterns, including groundedness checks, negative logic guardrails, and CI/CD regression gates that ensure your agents behave reliably at scale. By the end of this course, you'll be equipped with hands-on experience architecting, debugging, and evaluating AI agents ready for real-world deployment.
Skills covered
AI Agents, Google Agent Development Kit (ADK), AI Evaluation, Agentic AI Development
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 1.1 GB | freecoursewb | 1 year | 3 | 1 |
All Comments