Prodramp Courses

Technical Overview of Machine Learning Life Cycle

Comprehensive technical overview of the machine learning lifecycle, covering data preparation, model training, deployment, and inference. Ideal for AI engineers seeking in-depth understanding of ML processes.

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

An AI Engineer Guide to Comet Model Registry Platform

Learn to use Comet's Model Registry for logging, versioning, and deploying machine learning models. Explore key features like model export, registration, and monitoring in this hands-on tutorial using Keras and TensorFlow.

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

An Improved and Functional Design of End-to-End Machine Learning Life Cycle

Comprehensive overview of the machine learning lifecycle, covering data preparation, model training, deployment, and inference, with practical insights for effective implementation and monitoring.

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

An AI Engineer Guide to Model Monitoring with Comet ML Platform

Learn to monitor AI models in real-time using Comet ML. Explore key features like automatic logging, experiment tracking, and data visualization to ensure optimal model performance in production environments.

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

Implementing Redux-Based Store with Chakra UI Application

Learn to implement Redux-based state management in a Chakra UI application. Covers setup, store creation, middleware, actions, reducers, and integration with components for efficient state handling in React apps.

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

Prepare Your Data for Machine Learning Like a Rockstar Data Engineer With DataRobot AI Platform

Learn to prepare data for machine learning using DataRobot AI Platform. Covers AI catalog creation, EDA, feature engineering, outlier detection, data joining, and more. Ideal for data engineers and analysts.

• YouTube
• 1 hour 4 minutes
• On-Demand
• Free Video

An AI Engineer's Guide to Machine Learning with Keras

Comprehensive guide to building and evaluating machine learning models using Keras, covering data preparation, model creation, training, and performance analysis with practical examples.

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

Chakra UI - MAP Integration in React with React-Map-GL and Deck-GL

Learn to integrate interactive maps in React applications using Chakra UI, react-map-gl, and deck.gl. Explore various map layers and visualizations for data-rich, visually appealing map interfaces.

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

An AI Engineer Technical Guide to Feature Store with FEAST

Comprehensive guide to FEAST feature store for AI engineers, covering installation, setup, data handling, and integration with machine learning models. Includes hands-on examples and architecture review.

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

A Very First Look at H2O Hydrogen Torch

Explore H2O Hydrogen Torch: a no-code deep learning tool for diverse AI tasks. Learn its capabilities, experiment as novice and expert, and understand prediction pipelines and deployment options.

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

Test Drive - A Very First Look at H2O Hybrid Cloud

Explore H2O AI Hybrid Cloud's features: AI App Store, MLOps pipeline, AI engines, and collaboration tools. Gain insights into automated machine learning for complex business problem-solving.

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

Connecting CoreUI Frontend with Python Backend in 5 Easy Steps

Learn to integrate CoreUI frontend with Python backend using Flask, implementing RESTful API connections, and verifying data transfer in this comprehensive full-stack development tutorial.

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

Create Impactful 3D Bar Graphs for Better Data Visualization

Learn to create impactful 3D bar graphs using Python libraries like Pandas and Matplotlib. Explore real-world datasets and master techniques for effective data visualization.

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

Mastering Pandas Groupby Method to Split and Combine Data and Apply Functions

Learn to expertly use pandas groupby for data manipulation, including splitting, combining, applying functions, and creating visualizations from grouped data.

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

Build Your Machine Learning Pipeline in These 4 Simple Steps - Loan Prediction Scikit-Learn Example

Aprenda a construir um pipeline completo de machine learning usando scikit-learn para previsão de empréstimos, desde a ingestão de dados até o uso do modelo salvo para previsões.

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