Machine Learning Operations (MLOps) - Rangarajan Vasudevan

W1_L1: Introduction to mlops

W1_L2: Devops vs mlops

W1_L3: Landscape of mlops

W1_L4: Hands-on: introduction to google cloud, vertex ai

W2_L1: Data management for machine learning

W2_L2: Data versioning

W2_L3: Hands-on: DVC

W3_L1: Motivation for feature store

W3_L2: Feature store: overview, use cases

W3_L3: Feast: overview

W3_L4: Hands-on: feast

W4_L1: CI/CD for machine learning

W4_L2: Git 101 for machine learning

W4_L3: Github and best practices

W4_L4: Hands-on: CI for machine learning using CML

W5_L1: Model lifecycle patterns

W5_L2: Execution environments

W5_L3: Introduction to machine learning flow

W5_L4: Hyperparameter tuning

W5_L5: Handson: machine learning flow on GCP

W6_L1: Model serving using fastapi

W6_L2: Handson: fastapi

W6_L3: Model serving using containers

W6_L4: Handson: docker

W6_L5: Introduction to kubernetes

W6_L6: Handson: kubernetes

W6_L7: Model deployment, ci/cd for ml

W7_L1: Machine learning systems monitoring & performance tools

W7_L2: Modern observability stack for ml

W7_L3: Response options for ml systems

W7_L4: Logging for machine learning systems

W7_L5: Handson: logging, monitoring, scaling using gcp-native tools

W8_L1: Introduction to machine learning security with examples

W8_L2: Challenges in securing ml

W8_L3: MLsecOps

W8_L4: Hand-son: security demonstration

W9_L1: Machine learning governance and regulation

W9_L2: Governance failures and how to mitigate them

W9_L3: Drift monitoring

W9_L4: Detecting bias in machine learning

W9_L5: Explaining machine learning models

W9_L6: Handson: governance tools

W10_L1: LLMOps

W10_L2: LLMOps during pretraining

W10_L3: Versioning & testing in llms

W10_L4: CI&CD for LLMs

W10_L5: Handson: LLM finetuning

W11_L1: LLM accuracy

W11_L2: Proprietary LLMs

W11_L3: LLM serving, cost control

W11_L4: LLM observability, security, governance & best practices

W11_L5: Handson: LLM usage and security

Machine Learning Operations (MLOps)

Machine Learning Operations (MLOps)

Machine Learning Operations (MLOps)