Food Production Courses

Hugh Hou

How to Edit, Render, Upload Nikon Keymission 360 Videos - 360 VR Video Post-Production With Premiere

Learn to shoot, edit, and upload Nikon Keymission 360 videos with expert tips on settings, post-production in Premiere, and advanced techniques for high-quality 360/VR content creation.

• YouTube
• 19 minutes
• Self-Paced
• Free Video

Databricks

Using Docker Images in Production - Databricks Case Study

Learn how Condé Nast evolved Spire, their user segmentation service, from notebooks to Docker images on Databricks clusters. Explore the streamlined deployment workflow, challenges faced, and solutions implemented.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

Databricks

Testing ML Models in Production - Detecting Data and Concept Drift

Explore robust ML model testing in production using MLflow, SciPy, and statsmodels. Learn key statistical tests, metrics for drift detection, and gain practical insights for maintaining model effectiveness.

• YouTube
• 55 minutes
• Self-Paced
• Free Video

Databricks

MLflow Model Serving - From Training to Production

Comprehensive overview of MLflow Model Serving, covering offline and online scoring, deployment options, and integration with Databricks, with practical examples and recent features.

• YouTube
• 37 minutes
• Self-Paced
• Free Video

Databricks

ML Production Pipelines: Building and Deploying a Classification Model

Learn to build and deploy production-ready machine learning pipelines using Python, Databricks, and MLflow. Explore training and prediction workflows, model registration, and deployment options for both batch and on-demand processing.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

Databricks

Taking Machine Learning to Production with MLflow - New Features and Best Practices

Explore MLflow's latest features for productionizing machine learning, including model management, CI/CD, data schemas, and integration with PyTorch for seamless deployment and operation of ML applications.

• YouTube
• 41 minutes
• Self-Paced
• Free Video

Databricks

Taking Deep Learning to Production with MLflow and RedisAI

Explore MLflow and RedisAI integration for efficient deep learning model deployment, featuring multi-framework support, auto-batching, and DAGing capabilities in a reliable runtime environment.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

Databricks

Scaling Up AI Research to Production with PyTorch and MLFlow

Explore PyTorch's latest advancements in AI research and production, including distributed training, model optimization, and deployment using MLFlow, with insights on scaling and efficiency.

• YouTube
• 44 minutes
• Self-Paced
• Free Video

Databricks

Scaling Data and ML with Apache Spark and Feast - Feature Engineering for Production

Explore scaling data and ML with Apache Spark and Feast, focusing on feature engineering challenges and solutions for big data-driven machine learning in production environments.

• YouTube
• 38 minutes
• Self-Paced
• Free Video

Databricks

The Killer Feature Store - Orchestrating Spark ML Pipelines and MLflow for Production

Explore feature store implementation as an orchestration engine for ML pipeline stages using Spark and MLflow, focusing on deployment management, A/B testing, discovery, and governance.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

Databricks

Preventing Common Pitfalls in Production Streaming Jobs

Explore key strategies for optimizing streaming jobs in production, covering input parameters, stateful streaming, output configurations, and job modifications to ensure performance and fault tolerance.

• YouTube
• 54 minutes
• Self-Paced
• Free Video

ChariotSolutions

Rust in Production: Case Studies and Value Proposition - Philly ETE 2016

Explore Rust's value proposition and real-world applications through case studies, focusing on its safety, speed, and concurrency features for systems programming.

• YouTube
• 59 minutes
• Self-Paced
• Free Video

Hitesh Choudhary

How to Deploy a React Application to Production - Step by Step Process

Step-by-step guide to deploying a React application using Git, GitHub, Netlify, and Buddy Works. Learn the process of setting up pipelines and automating deployment for efficient production workflows.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

Oracle

Securing Non-Production Databases with Data Masking and Subsetting

Protect sensitive data in non-production databases through data masking and subsetting techniques. Learn implementation methods, deployment options, and see a live demo of creating and applying masking formats.

• YouTube
• 42 minutes
• Self-Paced
• Free Video

Singularity University

Manufacturing Food

Explore the future of food manufacturing with Mark Post, focusing on innovative solutions like lab-grown meat from stem cells to address global food challenges and sustainability issues.

• YouTube
• 32 minutes
• Self-Paced
• Conference Talk