Black Friday 2024: 25+ Ways to Save on Online Learning

Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

edX

DevOps, DataOps, MLOps

Pragmatic AI Labs via edX

Go to class Write review

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Grab it

Apply Real-World Machine Learning with DevOps, DataOps & MLOps

  • Master end-to-end MLOps solutions through hands-on AI pair programming
  • Leverage cutting-edge tools like GitHub Copilot, Gradio & Hugging Face
  • Build containerized ML apps deployable across cloud platforms

Course Journey:

  • Explore MLOps landscape and pre-trained models to solve business problems
  • Apply ML/AI in practice through optimization, simulation & heuristics
  • Develop integrated DevOps, DataOps & MLOps pipelines on GitHub
  • Package ML solutions in containers for seamless cloud deployment
  • Transition to Rust for high-performance GPU-accelerated ML tasks

Ideal for data scientists, software engineers, analysts & professionals working with machine learning. Gain holistic MLOps skills through real-world projects.

Syllabus

Week 1: Introduction to MLOps

\- Introduction to MLOps (Video, 4 minutes, Preview module)

\- MLOps Background (Video, 2 minutes)

\- MLOps Trends and Techniques (Video, 13 minutes)

\- What is DevOps? (Video, 2 minutes)

\- What is DataOps? (Video, 1 minute)

\- MLOPs: Heavy vs Light (Video, 3 minutes)

\- MLOps: Hierarchy of Needs (Video, 3 minutes)

\- Data Poisoning Machine Learning Systems (Video, 2 minutes)

\- What are the Key Components in MLOPs? (Video, 3 minutes)

\- Considering the MLOps Maturity Models (Video, 4 minutes)

\- What is Continuous Integration? (Video, 32 minutes)

\- What is Continuous Delivery? (Video, 2 minutes)

\- What is a Feature Store? (Video, 2 minutes)

\- What is Data Drift? (Video, 1 minute)

\- Operationalizing a Microservice (Video, 1 minute)

\- CI for Microservices (Video, 7 minutes)

\- End to End MLOps HuggingFace Spaces (Video, 11 minutes)

\- App Runner Example (Video, 5 minutes)

\- Flask Example (Video, 3 minutes)

\- Building Golang GCP App Engine Microservice (Video, 5 minutes)

\- Getting Started with Makefile (Video, 2 minutes)

\- The Three Most Important Files in a Python Project (Video, 3 minutes)

\- Getting Started and Course Gotchas (Reading, 10 minutes)

\- Key Terms (Reading, 10 minutes)

\- Additional Readings (Reading, 10 minutes)

\- Lesson Reflection (Reading, 10 minutes)

\- Key Terms (Reading, 10 minutes)

\- Additional Readings (Reading, 10 minutes)

\- Lesson Reflection (Reading, 10 minutes)

\- Key Terms (Reading, 10 minutes)

\- Additional Readings (Reading, 10 minutes)

\- Lesson Reflection (Reading, 10 minutes)

\- Key Concepts in MLOps (Quiz, 30 minutes)

\- Quiz: What is MLOPs? (Quiz, 30 minutes)

\- Key Concepts in MLOps (Quiz, 30 minutes)

\- Quiz: Key Concepts in Microservices (Quiz, 30 minutes)

\- Meet and Greet (optional) (Discussion Prompt, 10 minutes)

\- Let Us Know if Something's Not Working (Discussion Prompt, 10 minutes)

\- Build CI/CD Solution (Ungraded Lab, 60 minutes)

Week 2: Essential Math and Data Science

\- Doing Data Science Your First Day (Video, 46 minutes, Preview module)

\- What is Colab? (Video, 5 minutes)

\- Understanding the Traveling Salesman Problem (TSP) (Video, 56 minutes)

\- Simulations vs. Experiment Tracking (Video, 6 minutes)

\- Machine Learning and AI in Practice with Clustering (Video, 26 minutes)

\- Key Terms (Reading, 10 minutes)

\- Additional Readings (Reading, 10 minutes)

\- Lesson Reflection (Reading, 10 minutes)

\- Key Terms (Reading, 10 minutes)

\- Additional Readings (Reading, 10 minutes)

\- Lesson Reflection (Reading, 10 minutes)

\- Key Terms (Reading, 10 minutes)

\- Additional Readings (Reading, 10 minutes)

\- Lesson Reflection (Reading, 10 minutes)

\- Essential Math and Data Science (Quiz, 30 minutes)

\- Quiz: Doing Data Science Your First Day (Quiz, 30 minutes)

\- Quiz: Optimization, Heuristics and Simulations (Quiz, 30 minutes)

\- Exploring Jupyter Notebook (Ungraded Lab, 60 minutes)

\- Poker Simulation (Ungraded Lab, 60 minutes)

\- Probability Simulations (Ungraded Lab, 60 minutes)

Week 3: Operations Pipelines: DevOps, DataOps, MLOps

\- Cloud Developer Workspace Advantage (Video, 4 minutes, Preview module)

\- Key Components of GitHub Ecosystem (Video, 3 minutes)

\- Using GitHub Templates (Video, 2 minutes)

\- Demo of GitHub Codespaces (Video, 6 minutes)

\- GPU Code Whisperer (Video, 1 minute)

\- Fine-Tuning with Hugging Face (Video, 3 minutes)

\- Demo of GitHub Copilot (Video, 8 minutes)

\- GitHub Actions (Video, 3 minutes)

\- Pipelines for DataOps using Step Functions (Video, 16 minutes)

\- Query Databricks Pipeline (Video, 26 minutes)

\- Building Data Ingestion Pipelines on AWS (Video, 2 minutes)

\- Marco Polo Step Functions (Video, 8 minutes)

\- Transforming Data in Transit on AWS (Video, 2 minutes)

\- Demo AWS Batch Service (Video, 3 minutes)

\- Serverless Data Engineering Pipelines on AWS (Video, 1 minute)

\- Building Python Functions from Zero (Video, 138 minutes)

\- Building a Python NLP Project with Python Fire (Video, 43 minutes)

\- Extending Google Cloud Functions (Video, 10 minutes)

\- Using Google Cloud Functions (Video, 6 minutes)

\- Deploying a Rust Azure Function with GitHub Actions (Video, 14 minutes)

\- Key Terms (Reading, 10 minutes)

\- Additional Readings (Reading, 10 minutes)

\- Lesson Reflection (Reading, 10 minutes)

\- Key Terms (Reading, 10 minutes)

\- Additional Readings (Reading, 10 minutes)

\- Lesson Reflection (Reading, 10 minutes)

\- Key Terms (Reading, 10 minutes)

\- Additional Readings (Reading, 10 minutes)

\- Lesson Reflection (Reading, 10 minutes)

\- Operations Pipelines: DevOps, DataOps, MLOps (Quiz, 30 minutes)

\- Marco Polo Python (Ungraded Lab, 60 minutes)

\- Greedy Optimizations (Ungraded Lab, 60 minutes)

Week 4: End to End MLOps and AIOps

\- Containerized Microservices (Video, 2 minutes, Preview module)

\- Containerized Continuous Delivery (Video, 8 minutes)

\- Containerized Machine Learning (Video, 39 minutes)

\- Containerized End-to-End Machine Learning (Video, 3 minutes)

\- Building Distroless Containers (Video, 8 minutes)

\- Use AI to Write AI (Video, 1 minute)

\- Learn Key Skills for Python DevOps with Copilot (Video, 171 minutes)

\- Amazon CodeWhisperer vs. GitHub Copilot (Video, 56 minutes)

\- Enabling AI Workflows (Video, 1 minute)

\- Prototyping AI APIs (Video, 14 minutes)

\- Using Transfer Learning (Video, 2 minutes)

\- Assimilate OpenAI Technology using Streamlit (Video, 50 minutes)

\- Key Terms (Reading, 10 minutes)

\- Additional Readings (Reading, 10 minutes)

\- Lesson Reflection (Reading, 10 minutes)

\- Key Terms (Reading, 10 minutes)

\- Additional Readings (Reading, 10 minutes)

\- Lesson Reflection (Reading, 10 minutes)

\- Key Terms (Reading, 10 minutes)

\- Additional Readings (Reading, 10 minutes)

\- Lesson Reflection (Reading, 10 minutes)

\- End to End Containerized MLOps (Quiz, 30 minutes)

\- Convert Code with AI (Ungraded Lab, 60 minutes)

\- Build a Hugging Face Gradio Web Application (Ungraded Lab, 60 minutes)

Week 5: Rust for MLOps: The Practical Transition from Python to Rust

\- Introduction to Switching to Rust from Python (Video, 4 minutes, Preview module)

\- Introduction to Rust Lecture Notes (Video, 4 minutes)

\- Configure Rust for AWS Cloud9 (Video, 8 minutes)

\- GitHub Copilot Enabled Rust Programming (Video, 9 minutes)

\- Using Rust Packaging for Web Development (Video, 9 minutes)

\- Comparing Energy Efficiency of Rust vs. Python (Video, 5 minutes)

\- Comparing Rust vs. Python for MLOps (Video, 7 minutes)

\- Continuous Integration for Rust with GitHub Actions (Video, 7 minutes)

\- Demo Unit Testing Rust (Video, 6 minutes)

\- Building a Deduplication Tool with Rust (Video, 9 minutes)

\- Zero Shot Classification Rust Hugging Face (Video, 9 minutes)

\- Rust GPU Hugging Face Translator (Video, 6 minutes)

\- PyTorch Stable Diffusion Rust with GPU (Video, 7 minutes)

\- Rust PyTorch Demo (Video, 7 minutes)

\- Building GPU Stress Test (Video, 7 minutes)

\- Using Rust ONNX with EFS for AWS Lambda (Video, 9 minutes)

\- Onboarding to GCP with Python and Rust via CloudShell (Video, 8 minutes)

\- Run Rust Actix Microservice with Google Cloud Run (Video, 25 minutes)

\- Build and Deploy Rust Microservice via Google Cloud Run (Video, 7 minutes)

\- Monitoring and Logging with Rust for Google App Engine (Video, 3 minutes)

\- Load Testing a Rust Microservice (Video, 5 minutes)

\- Building a Containerized Rust Microservice with AWS (Video, 8 minutes)

\- AWS Step Functions with Rust (Video, 6 minutes)

\- Deploy an App Engine Rust Microservice (Video, 5 minutes)

\- Size Calculator in AWS S3 (Video, 4 minutes)

\- Key Terms (Reading, 10 minutes)

\- Additional Readings (Reading, 10 minutes)

\- Lesson 1 Reflection: Introduction to Rust (Reading, 10 minutes)

\- Key Terms (Reading, 10 minutes)

\- Additional Readings (Reading, 10 minutes)

\- External Lab: Hugging Face Chatbot Arena (Reading, 10 minutes)

\- Lesson Reflection (Reading, 10 minutes)

\- Key Terms (Reading, 10 minutes)

\- Additional Readings (Reading, 10 minutes)

\- Lesson Reflection (Reading, 10 minutes)

\- Next Steps (Reading, 10 minutes)

\- Rust for MLOps (Quiz, 30 minutes)

\- Quiz: Leveling Up from Python to Rust: An Introduction (Quiz, 30 minutes)

\- Quiz: Build MLOps Solutions using Rust (Quiz, 30 minutes)

\- Quiz: Build Cloud Solutions using Rust (Quiz, 30 minutes)

\- Hello World Rust (Ungraded Lab, 60 minutes)

\- Rust Cargo Lambda (Ungraded Lab, 60 minutes)

\- Rust Sandbox: Discovering Rust (Ungraded Lab, 60 minutes)

Taught by

Noah Gift

Reviews

Start your review of DevOps, DataOps, MLOps

Go to class

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.