Industry-accredited training for students and software professionals. Build autonomous agent swarms, FastMCP gateways, and pass Google Cloud & Anthropic Claude certifications on your first attempt.
from agentic_cloud import MultiAgentSwarm, FastMCP from vertexai import Gemini2Flash # Supervisor-Worker Multi-Agent Swarm swarm = MultiAgentSwarm( supervisor=Gemini2Flash(role="Architect"), workers=["Researcher", "Coder", "Auditor"], protocol="A2A_v2", security_shield="ZeroTrust" ) # Standard Model Context Protocol (MCP) mcp_gateway = FastMCP.connect("enterprise://sap-erp") result = swarm.execute( goal="Reconcile Q3 Variance & Sync SAP", tools=mcp_gateway.get_tools() ) print(f"[SUCCESS] Status: {result.status}")
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Experience authentic Google Cloud certification testing with interactive review mode, question navigator palette, timed mock simulation, per-option architectural rationales, and official documentation links.
Authentic exam practice questions, detailed answer explanations, and timed diagnostic scoring to guarantee you pass on your first attempt. Everybody gets our 75.75% site-wide early-adopter discount.
Graduate with production-ready repositories solving enterprise challenges. No toy demos or generic tutorials.
Build a multi-agent system that reconciles complex quarterly balance sheets, extracts invoice line items via Gemini Vision, flags discrepancies, and commits two-phase verified updates to SAP ERP via FastMCP.
Engineer an autonomous support agent leveraging Claude 3.5 Sonnet Computer Use. The agent views user error screenshots, clicks developer console buttons, parses Docker logs, and files automated GitHub Pull Requests.
Deploy a zero-trust semantic knowledge engine over 2M medical records. Incorporates Neo4j clinical ontology graphs, Reciprocal Rank Fusion, dual-LLM prompt injection defense, and automated PII masking.
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Courses 1 & 2: Foundations + Enterprise RAG & Vector Databases.
Complete 6 Courses + 3 Production Capstones + All Exam Banks.
Courses 4 & 5: Google Cloud Agentic Architect + Claude Suite.