Week 1: Introduction to MLOps -What is MLOps?
Getting Started and Course Gotchas
Key Terms
Introduction to MLOps
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MLOps Background
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MLOps Trends and Techniques
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What is DevOps?
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What is DataOps?
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MLOPs: Heavy vs Light
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MLOps: Hierarchy of Needs
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Data Poisoning Machine Learning Systems
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Additional Readings
Lesson Reflection
Week 1: Introduction to MLOps -Key Concepts in MLOps
Key Terms
What are the Key Components in MLOPs?
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Considering the MLOps Maturity Models
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What is Continuous Integration?
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What is Continuous Delivery?
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What is a Feature Store?
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What is Data Drift?
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Additional Readings
Lesson Reflection
Week 1: Introduction to MLOps -Foundations of End to End MLOps with Web Apps and Microservices
Key Terms
Operationalizing a Microservice
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CI for Microservices
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End to End MLOps HuggingFace Spaces
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App Runner Example
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Flask Example
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Building Golang GCP App Engine Microservice
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Getting Started with Makefile
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The Three Most Important Files in a Python Project
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Additional Readings
Lesson Reflection
Week 2: Essential Math and Data Science-Doing Data Science Your First Day
Key Terms
Doing Data Science Your First Day
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What is Colab?
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Additional Readings
Lesson Reflection
Week 2: Essential Math and Data Science-Optimization, Heuristics and Simulations
Key Terms
Understanding the Traveling Salesman Problem (TSP)
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Simulations vs. Experiment Tracking
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Additional Readings
Lesson Reflection
Week 2: Essential Math and Data Science-Machine Learning and AI in Practice
Key Terms
Machine Learning and AI in Practice with Clustering
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Additional Readings
Lesson Reflection
Week 3: Operations Pipelines: DevOps, DataOps, MLOps-Developing with the GitHub Ecosystem
Key Terms
Cloud Developer Workspace Advantage
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Key Components of GitHub Ecosystem
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Using GitHub Templates
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Demo of GitHub Codespaces
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GPU Code Whisperer
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Fine-Tuning with Hugging Face
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Demo of GitHub Copilot
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GitHub Actions
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Additional Readings
Lesson Reflection
Week 3: Operations Pipelines: DevOps, DataOps, MLOps-Using Pipelines for DataOps
Key Terms
Pipelines for DataOps using Step Functions
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Query Databricks Pipeline
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Building Data Ingestion Pipelines on AWS
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Marco Polo Step Functions
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Transforming Data in Transit on AWS
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Demo AWS Batch Service
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Serverless Data Engineering Pipelines on AWS
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Additional Readings
Lesson Reflection
Week 3: Operations Pipelines: DevOps, DataOps, MLOps-Functions From Zero to Deploy
Key Terms
Building Python Functions from Zero
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Building a Python NLP Project with Python Fire
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Extending Google Cloud Functions
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Using Google Cloud Functions
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Deploying a Rust Azure Function with GitHub Actions
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Additional Readings
Lesson Reflection
End to End MLOps and AIOps -Containers for Machine Learning
Key Terms
Containerized Microservices
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Containerized Continuous Delivery
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Containerized Machine Learning
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Containerized End-to-End Machine Learning
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Building Distroless Containers
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Additional Readings
Lesson Reflection
End to End MLOps and AIOps -Building end-to-end solutions with AI Pair Programming
Key Terms
Use AI to Write AI
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Learn Key Skills for Python DevOps with Copilot
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Amazon CodeWhisperer vs. GitHub Copilot
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Additional Readings
Lesson Reflection
End to End MLOps and AIOps -Using AI to Build AI
Key Terms
Enabling AI Workflows
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Prototyping AI APIs
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Using Transfer Learning
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Assimilate OpenAI Technology using Streamlit
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Additional Readings
Lesson Reflection
Rust for MLOps: The Practical Transition from Python to Rust -Leveling Up from Python to Rust: An Introduction
Key Terms
Introduction to Switching to Rust from Python
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Introduction to Rust Lecture Notes
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Configure Rust for AWS Cloud9
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GitHub Copilot Enabled Rust Programming
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Using Rust Packaging for Web Development
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Comparing Energy Efficiency of Rust vs. Python
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Comparing Rust vs. Python for MLOps
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Continuous Integration for Rust with GitHub Actions
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Demo Unit Testing Rust
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Building a Deduplication Tool with Rust
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Additional Readings
Lesson 1 Reflection: Introduction to Rust
Rust for MLOps: The Practical Transition from Python to Rust -Build MLOps Solutions using Rust
Key Terms
Zero Shot Classification Rust Hugging Face
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Rust GPU Hugging Face Translator
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PyTorch Stable Diffusion Rust with GPU
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Rust PyTorch Demo
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Building GPU Stress Test
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Using Rust ONNX with EFS for AWS Lambda
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Additional Readings
External Lab: Hugging Face Chatbot Arena
Lesson Reflection
Rust for MLOps: The Practical Transition from Python to Rust -Build Cloud Solutions using Rust
Key Terms
Onboarding to GCP with Python and Rust via CloudShell
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Run Rust Actix Microservice with Google Cloud Run
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Build and Deploy Rust Microservice via Google Cloud Run
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Monitoring and Logging with Rust for Google App Engine
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Load Testing a Rust Microservice
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Building a Containerized Rust Microservice with AWS
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AWS Step Functions with Rust
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Deploy an App Engine Rust Microservice
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Size Calculator in AWS S3
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Additional Readings
Lesson Reflection
Next Steps
