BloomTech’s Downfall: A Long Time Coming

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edX

DevOps, DataOps, MLOps

Pragmatic AI Labs via edX

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Overview

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

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