AutoML Courses and Certifications

NashKnolX

AutoML in Vertex AI for MLOps

Explore AutoML in Vertex AI for MLOps, streamlining model training, comparison, and deployment on Google Cloud's unified platform.

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

SQLBits

Model Creation in Azure AutoML and Ingestion Through Excel

Explore Azure AutoML for machine learning, from model creation to Excel integration via VBA, with a focus on practical applications and time-saving techniques.

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

SQLBits

How to Get Started with Computer Vision AutoML in Azure

Leverage Azure Computer Vision to build and deploy advanced image processing models without extensive coding, jumpstarting your journey into AI-powered visual analysis.

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

Efficient AutoML with Ludwig, Ray, and Nodeless Kubernetes

Explore efficient AutoML using Ludwig and Ray, leveraging heuristics for model production. Learn how Nodeless Kubernetes optimizes GPU resource management, reducing costs in cloud environments.

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

tinyML

TinyML AutoML Tutorial: Building Production-ready Models with Imagimob AI

Learn to use Imagimob AI’s low-code workflow to build production-ready time-series neural network models for resource-constrained devices.

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

tinyML

EON Tuner - AutoML for Constrained Devices in TinyML

Explore EON Tuner’s AutoML search across signal processing and machine-learning pipelines for models that meet microcontroller constraints.

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

tinyML

AutoML + TinyML with Edge Impulse's EON Tuner

Explore how Edge Impulse’s EON Tuner applies AutoML to optimize complete TinyML pipelines for latency, memory, accuracy, and target-device constraints.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

Cloud Machine Learning Engineering and MLOps

96 ratings at Coursera

Build machine learning engineering applications in the Cloud: apply software development best practices, use AutoML tools like Ludwig and Google AutoML, and serve predictions from a Flask app.

• Coursera
• 3 weeks, 5 hours a week
• Self-Paced
• Paid Course

Microsoft Azure Machine Learning

305 ratings at Coursera

Build regression, classification, and clustering models with Azure Machine Learning designer without writing code, and train and deploy predictive models using automated machine learning.

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

New York Institute of Finance;  Google Cloud

Reinforcement Learning for Trading Strategies

251 ratings at Coursera

Build trading strategies with reinforcement learning: distinguish actor-based from value-based policies, combine RL with neural networks and LSTMs, and train models using AutoML.

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

Vertex AI | Gemini | Generative AI - GCP Machine learning

2566 ratings at Udemy

Learn How to Apply Google Cloud Vertex AI Machine Learning Products for your own ML Application Training & Prediction

• Udemy
• 13 hours 38 minutes
• Self-Paced
• Paid Course

Microsoft Azure Machine Learning for Data Scientists

180 ratings at Coursera

Build and publish predictive models without writing code in Azure Machine Learning, using automated machine learning and the designer for regression, classification, and clustering models.

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

H2O.ai

Practical Machine Learning on H2O

74 ratings at Coursera

Build machine learning models with H2O: linear models, random forests, GBMs, deep learning and unsupervised algorithms, then evaluate and pick the best model under business constraints.

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

Coursera

PyCaret: Anatomy of Regression

14 ratings at Coursera

Build regression models with PyCaret in a few lines of code: set up the environment, compare and tune models, plot visuals, and interpret results with SHAP.

• Coursera
• 2 hours 15 minutes
• Self-Paced
• Paid Course

Coursera

Predictive Analytics for Business with H2O in R

53 ratings at Coursera

Apply H2O's AutoML in R to predict bank telemarketing success, automatically training and tuning many models for a business prediction problem.

• Coursera
• 1 hour 45 minutes
• Self-Paced
• Paid Course