Udemy - Google Slides with Gemini AI - AI-Powered Presentations [TorrentX]

Google Cloud Professional Agentic Architect Exam Guide https://WebToolTip.com Published 9/2026 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 5h 31m | Size: 869.41 MB Build, evaluate, deploy and secure AI agents on Google Cloud. Full coverage of all 5 exam domains, in the official order What you'll learn Build AI agents on Google Cloud two ways — low-code with Gemini Enterprise, and in code with the Agent Development Kit (ADK) Design production RAG pipelines: embeddings, chunking, similarity scoring, reranking, Vector Search and Agent Retrieval Orchestrate multi-agent systems using MCP and Agent2Agent (A2A), with sequential, parallel and graph workflows Evaluate agents properly — golden datasets, trajectory vs. response, ADK evalset, autoraters and continuous evaluation Deploy and scale agents on Agent Runtime, Cloud Run and GKE, and choose correctly between them Secure agentic workflows against prompt injection using Model Armor, Agent Gateway, Agent Identity and PAB policies Use coding agents effectively — Antigravity, Claude Code on Google Cloud, MCP servers, custom skills and secure sandboxes Configure agent memory and state with managed sessions and Agent Platform Memory Bank Troubleshoot real agent failures: drift, reasoning loops, tool latency, logic errors and hallucinations Cover 100% of the Professional Agentic Architect exam guide, section by section, in Google's own order Requirements Comfortable writing code — Python especially. This is a professional-level certification, not an entry-level one. Working knowledge of Google Cloud fundamentals: IAM, Cloud Storage, and at least one database service Basic familiarity with large language models and how APIs work A Google Cloud account is useful for following along, though the theory lectures stand on their own No prior agent-building experience needed — every concept is built up from first principles