Food Production Courses

Photographing Food With Intention

Photographing Food With Intention with Melina Hammer, Kenna Klosterman

• CreativeLive
• 1 hour 3 minutes
• On-Demand
• Free Online Course

Robert Feranec

Steps to Do After You Receive Your Boards From Production - Some Soldering Tips

Learn essential post-production steps for PCB boards, including visual inspection, component soldering, and electrical testing. Gain practical tips for handling and verifying your custom-designed microcontroller board.

• YouTube
• 42 minutes
• On-Demand
• Free Video

Envato Tuts+

Learn Drone Video Post-Production

Enhance aerial footage with post-production techniques: reduce distortion, color grade, stabilize, add effects, and master 3D camera tracking for cinematic drone videos.

• YouTube
• 1 hour 27 minutes
• On-Demand
• Free Video

Envato Tuts+

Learn Drone Video Production

Master aerial filmmaking with drones: equipment, cinematography, outdoor factors, camera setup, maintenance, legalities, and service ideas for innovative and affordable production techniques.

• YouTube
• 1 hour 5 minutes
• On-Demand
• Free Video

Open Data Science

Cloud Directions, MLOps and Production Data Science

Explore cloud directions, MLOps, and production data science with Prof. Hellerstein. Learn key challenges, lifecycle management, and innovative solutions for scaling data-intensive applications in the cloud.

• YouTube
• 43 minutes
• On-Demand
• Free Video

Design Cuts

Photoshop and Illustrator Tutorial - How to Create a Raw Food Bar Branding Mockup

Learn to create a raw food bar branding mockup using Photoshop and Illustrator. Master logo design, packaging, and scene building with various design elements in this step-by-step tutorial.

• YouTube
• 34 minutes
• On-Demand
• Free Video

Databricks

Enable Production ML with Databricks Feature Store

Simplify production ML with Databricks Feature Store. Learn to overcome data challenges, enable real-time inference, and streamline ML projects using a unified data lakehouse platform integrated with Apache Spark and MLflow.

• YouTube
• 33 minutes
• On-Demand
• Free Video

Databricks

Quick to Production: Integrating Spark and TensorFlow for Efficient MLOps

Learn to quickly deploy deep learning models using Spark and TensorFlow, simplifying MLOps for data scientists. Explore distributed computing, feature engineering, and leveraging TensorFlow ecosystem libraries for efficient model production.

• YouTube
• 1 hour 1 minute
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• Free Video