# Cloud Edventures > Cloud Edventures is a guided cloud learning platform where you build real AWS projects in safe sandboxes with automated validation and verified portfolio proof. ## What We Offer - 15 Learning Paths across 3 certification tracks - 75+ hands-on labs in isolated AWS sandbox environments - 25 pro tutorials on trending tools (LangGraph, MCP, Pipecat, ArgoCD, etc.) - Automated validators that check actual AWS resources - Verified public portfolio with timestamps and badges - Two sandbox types: Cloud (Lambda, S3, EC2, DynamoDB) and AI (Bedrock, SageMaker, Rekognition) ## Certification Tracks ### Track 1: Core AWS — Cloud Foundations to Platform Engineering (Paths 1-4) 4 paths, 24 missions, ~27 hours. From "what is Lambda?" to production platform engineering. - Cloud Explorer (Beginner): Lambda, API Gateway, S3, IAM, presigned URLs - Automation Captain (Intermediate): EC2, CloudWatch, DynamoDB, CloudFormation, CI/CD, Auto Scaling - AI Navigator (Advanced): Bedrock, Claude, RAG, AI Agents, tool use, production monitoring - Platform Forge (Advanced): Terraform, GitHub Actions OIDC, SNS/SQS fan-out, DynamoDB Streams CDC, Step Functions saga, KMS + GuardDuty ### Track 2: MLA-C01 — AWS Machine Learning Specialty Prep (Paths 5-10) 6 paths, 28 missions, ~49 hours. Every domain the MLA-C01 exam tests, built hands-on. - Data Depths: S3 data lakes, Glue DataBrew, Athena EDA, Glue ETL, Kinesis streaming - Vision Reef: Rekognition, Comprehend, Textract, Translate + Polly, document intelligence pipeline - SageMaker Summit: Studio, XGBoost training, real-time endpoints, batch transform, Canvas no-code - The Fairness Depths: Classification/regression metrics, Clarify bias detection, SHAP explainability, Debugger - Pipeline Forge: SageMaker Pipelines, Model Registry, CloudFormation deployment, serverless inference, auto-retraining - Sentinel Depths: Model Monitor, CloudWatch anomaly detection, VPC isolation, spot training + cost optimization ### Track 3: CCA-001 — Claude Certified Architect (Paths 11-15) 5 paths, 22 missions, ~40 hours. Production AI agent mastery with Claude and Amazon Bedrock. - Architect's Atoll: Agentic loop (stopReason), tool sequencing, coordinator-subagent fleets, decision routing, Bedrock Guardrails - Tool Master's Reef: Tool description quality, structured error responses (isError/isRetryable), MCP server (JSON-RPC), dynamic tool registry - Navigator's Compass: CLAUDE.md hierarchy + glob rules, custom slash commands, plan-then-execute pipelines, headless Claude Code CI/CD - Prompt Cartographer's Isle: Explicit criteria prompts, few-shot classifiers, tool_use structured output forcing, schema validation + retry, multi-pass review pipelines - Lighthouse of Reliability: Token budgeting + sliding window, human escalation via SNS, error propagation pipelines, AI observability dashboards ### StackHawks — Pro Tutorials 25 tutorials, ~17 hours. Updated monthly. Trending tools developers are hiring for now. - AI Agents: LangGraph, MCP Server, Pipecat Voice AI, Bedrock AgentCore, Strands SDK, CrewAI, OpenAI Agents SDK - AI Models: Claude Extended Thinking, S3 Vectors RAG, Prompt Flows, Nova Pro, LangExtract - Infrastructure: ArgoCD GitOps, Pulumi, CDK v2, Dagger, Kubernetes EKS - Self-Hosted: bolt.diy, n8n, OpenClaw - Operations: GuardDuty + Security Hub, Cost Optimization, Lambda Performance, Kinesis Streaming, App Runner ## Contact - Email: hello@cloudedventures.com - Twitter: @cloudedventures - LinkedIn: /company/cloudedventures ## Key Links - Website: https://www.cloudedventures.com - App: https://app.cloudedventures.com - Labs: https://www.cloudedventures.com/labs - Articles: https://www.cloudedventures.com/articles - Tools: https://www.cloudedventures.com/tools ## Last Updated 2026-03-20