AutoML Courses and Certifications

10 Days of No Code Artificial Intelligence Bootcamp

2249 ratings at Udemy

Build 10 AI projects in 10 days without coding using Google Teachable Machines, DataRobot, AWS Autopilot, and Vertex AI

• Udemy
• 12 hours 20 minutes
• Self-Paced
• Paid Course

Modern Artificial Intelligence with Zero Coding

1863 ratings at Udemy

Build 5 Practical Projects & Harness the Power of AI to solve practical, real-world business problems with Zero Coding!

• Udemy
• 9 hours 33 minutes
• Self-Paced
• Paid Course

Machine Learning Rapid Prototyping with IBM Watson Studio

17 ratings at Coursera

Build end-to-end prototypes with Watson Studio AutoAI: run experiments, tune the auto-generated Python notebook's data prep, model selection, feature engineering and hyperparameters, then deploy.

• Coursera
• 4 weeks, 2 hours a week
• Self-Paced
• Paid Course

Coursera

AWS AutoGluon for Machine Learning Classification

Train and compare several machine learning classifiers to detect and classify disease with AutoGluon, the AutoML library behind AWS autopilot, in a few lines of code.

• Coursera
• 1 hour 52 minutes
• Self-Paced
• Paid Course

Practical Machine Learning without Coding

Build, tune, and deploy machine learning models on no-code platforms: batch training jobs, hyperparameter tuning, bias auditing, error analytics, and API integrations.

• Coursera
• 3 weeks, 1 hour a week
• Self-Paced
• Paid Course

Classify Images of Clouds in the Cloud with AutoML Vision

13 ratings at Coursera

Train a custom AutoML Vision image recognition model in the Google Cloud console to classify photos of cloud types such as cumulus and cumulonimbus.

• Coursera
• 2 hours
• Self-Paced
• Paid Course

Identify Damaged Car Parts with Vertex AutoML Vision

Train a custom AutoML Vision image classification model in Vertex AI that recognizes damaged car parts, then generate predictions from the Cloud Console UI or REST API.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course

Edureka

Getting Started with Automated Machine Learning (AutoML)

Build, evaluate and deploy models with H2O AutoML: interpret leaderboards, prevent data leakage, run grid searches with early stopping, and ship MOJO artifacts for batch scoring.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course

Automated Data Science: Wolfram U

Use Wolfram Language machine learning functions to automate data science through automated classification and regression beyond traditional statistical methods.

• Wolfram U
• 1 hour
• Self-Paced
• Free Online Course

Identify Damaged Car Parts with Vertex AutoML Vision

In this lab, you will learn how to train a custom Vertex AI image classification model to recognize damaged car parts.

• Google Skills
• 1-2 hours
• Self-Paced
• Paid Course

Self Service ML Pipelines Using Dataprep and AutoML Tables

In this lab you will learn how to use Dataprep in conjunction with AutoML Tables to build and operate your machine learning pipelines.

• Google Skills
• 1-2 hours
• Self-Paced
• Paid Course

Open Data Science

Accelerate Your AI-ML Initiatives and Deliver Business Value Quickly

Discover strategies for rapid AI deployment, overcoming adoption challenges, and delivering tangible business value through pre-integrated frameworks, AutoML, and industry-specific solutions.

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

MLOps World: Machine Learning in Production

Automated Machine Learning Tuning with FLAML

Explore automated machine learning and tuning using FLAML, a fast Python library. Learn to automate ML tasks, perform general tuning, and conduct zero-shot AutoML efficiently.

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

Nicholas Renotte

Building an AutoML Web App with Python, Pandas Profiling, PyCaret, and Streamlit

Build an AutoML web app in Python with Pandas Profiling, PyCaret, and Streamlit in about 15 minutes.

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

Career Certificate

Machine Learning Engineer with Microsoft Azure

84 ratings at Udacity

Operationalize machine learning solutions in the cloud with Azure Machine Learning, pipeline automation, deployment, monitoring, and a hands-on capstone.

• Udacity
• 40 hours
• Self-Paced
• Paid Course