SURVIVE THE AI ERA as a Cloud & DevOps Engineer
AI is not replacing engineers. It is replacing engineers who don't evolve
AI is not replacing engineers. It is replacing engineers who don't evolve
From Beginner to Expert for Cloud & DevOps Engineers
From Beginner to Expert for Cloud & DevOps Engineers
From Beginner to Expert for Cloud & DevOps Engineers
Use these eBooks to deepen your understanding of Kubernetes, Terraform, and Freelancing, and accelerate your job hunt with the included Job Search Tracker (Exclusive for LearnXops Premium members)
Ship a New Model Version to 20% of Traffic, Watch It in Prometheus, Then Promote or Roll Back With a One-Line Change. (MLOPS: ABSOLUTE BEGINNERS TO PRO IN 100 DAYS - DAY 61)
Replace Hand-Written Deployments With One InferenceService That Pulls Your Model, Serves a Standard Protocol, and Scales Itself. (MLOPS: ABSOLUTE BEGINNERS TO PRO IN 100 DAYS - DAY 60)
Use Requests, Limits, Quotas, Taints and Node Affinity So Training Jobs Land on GPU Nodes and Never Starve Your Serving Pods. (MLOPS: ABSOLUTE BEGINNERS TO PRO IN 100 DAYS - DAY 59)
Package S3, IAM and ECR Into One Reusable ml-training-stack Module and Stamp Out Dev and Prod From the Same Code. (MLOPS: ABSOLUTE BEGINNERS TO PRO IN 100 DAYS - DAY 58)
Stop Clicking Through the AWS Console and Declare Your S3 Bucket, SageMaker IAM Role and ECR Repository as Reviewable, Repeatable Code. (MLOPS: ABSOLUTE BEGINNERS TO PRO IN 100 DAYS - DAY 57)
Wire Validation, Training, MLflow Tracking, Batch Scoring and Slack Alerts Into One Production-Style Airflow Pipeline. (MLOPS: ABSOLUTE BEGINNERS TO PRO IN 100 DAYS - DAY 56)
Example: Kubernetes, Terraform, Docker, AWS, MLOps...