Amelia Coder

𝗚𝗢𝗢𝗚𝗟𝗘 𝗖𝗟𝗢𝗨𝗗 𝗔𝗜/𝗠𝗟 𝗧𝗘𝗖𝗛 𝗦𝗧𝗔𝗖𝗞 — 𝗙𝗥𝗢𝗠 𝗗𝗔𝗧𝗔 𝗧𝗢 𝗗𝗘𝗣𝗟𝗢𝗬𝗠𝗘𝗡𝗧 Building AI in production is not just about choosing an LLM. You need infrastructure for data, training, deployment, monitoring, security, and automation. Here’s how the Google Cloud AI/ML stack fits together: 01 — 𝗖𝗢𝗠𝗣𝗨𝗧𝗘 The foundation for running AI workloads. → Compute Engine → GPUs → TPUs → Cloud Run → Google Kubernetes Engine 02 — 𝗦𝗧𝗢𝗥𝗔𝗚𝗘 & 𝗗𝗔𝗧𝗔 AI systems need reliable access to large amounts of data. → Cloud Storage → BigQuery → Cloud SQL → Firestore → Bigtable → Filestore 03 — 𝗗𝗔𝗧𝗔 𝗣𝗥𝗢𝗖𝗘𝗦𝗦𝗜𝗡𝗚 Turn raw data into something models can actually use. → Dataflow → Dataproc → Pub/Sub → Dataplex → BigQuery Omni 04 — 𝗠𝗟 𝗧𝗥𝗔𝗜𝗡𝗜𝗡𝗚 & 𝗘𝗫𝗣𝗘𝗥𝗜𝗠𝗘𝗡𝗧𝗔𝗧𝗜𝗢𝗡 Build, train, test, and manage machine learning models. → Vertex AI Training → Vertex AI Experiments → Model Registry → Feature Store → AutoML 05 — 𝗙𝗘𝗔𝗧𝗨𝗥𝗘 𝗘𝗡𝗚𝗜𝗡𝗘𝗘𝗥𝗜𝗡𝗚 Create and manage the features your models need. → Vertex AI Feature Store → BigQuery ML Feature Engineering → Dataproc Spark 06 — 𝗗𝗘𝗣𝗟𝗢𝗬𝗠𝗘𝗡𝗧 & 𝗜𝗡𝗙𝗘𝗥𝗘𝗡𝗖𝗘 Move models from development into real applications. → Vertex AI Endpoints → Vertex AI Predictions → Model Garden → Cloud Run Inference → GKE Inference 07 — 𝗟𝗟𝗠𝗦 & 𝗚𝗘𝗡𝗘𝗥𝗔𝗧𝗜𝗩𝗘 𝗔𝗜 Access and deploy modern foundation and generative AI models. → Gemini → Gemma → Vertex AI Model Garden → Vision models → Open-source models 08 — 𝗣𝗜𝗣𝗘𝗟𝗜𝗡𝗘𝗦 & 𝗔𝗨𝗧𝗢𝗠𝗔𝗧𝗜𝗢𝗡 Automate repetitive ML workflows. → Vertex AI Pipelines → Cloud Composer → Cloud Functions → Cloud Scheduler → Workflows 09 — 𝗠𝗢𝗡𝗜𝗧𝗢𝗥𝗜𝗡𝗚 & 𝗚𝗢𝗩𝗘𝗥𝗡𝗔𝗡𝗖𝗘 Production AI needs visibility and control. → Cloud Logging → Cloud Monitoring → Vertex AI Model Monitoring → Cloud IAM → Policy Intelligence → Chronicle Security 10 — 𝗗𝗘𝗩𝗘𝗟𝗢𝗣𝗘𝗥 & 𝗗𝗘𝗩𝗢𝗣𝗦 𝗧𝗢𝗢𝗟𝗦 Build and deploy everything efficiently. → gcloud CLI → Cloud SDKs → Cloud Build → Cloud Deploy → Cloud Shell → Terraform 𝗧𝗛𝗘 𝗕𝗜𝗚 𝗣𝗜𝗖𝗧𝗨𝗥𝗘: Data → Processing → Training → Models → Deployment → Monitoring → Automation The important lesson? 𝗣𝗥𝗢𝗗𝗨𝗖𝗧𝗜𝗢𝗡 𝗔𝗜 𝗜𝗦 𝗔 𝗙𝗨𝗟𝗟 𝗦𝗧𝗔𝗖𝗞. The model is only one piece of the system. Follow @AamirAnsar94694 for more AI, tools, automation and tech insights. #AI #GoogleCloud #MachineLearning #GenerativeAI #VertexAI #CloudComputing #ArtificialIntelligence #AITools