Automated Machine Learning Courses and Certifications

Natural Language Processing and Capstone Assignment

50 ratings at Coursera

Explore natural language processing, sentiment analysis, topic modeling, and emerging trends in data science. Apply learned techniques to develop a comprehensive data analytics plan.

• Coursera
• 4 hours 56 minutes
• On-Demand
• Paid Course

Microsoft Azure Machine Learning

291 ratings at Coursera

Learn to create and deploy machine learning models using Azure's automated tools, without coding. Explore regression, classification, and clustering techniques for predictive analysis.

• Coursera
• 11 hours 23 minutes
• On-Demand
• Paid Course

UCLA Automated Reasoning Group

Automated Reasoning - Logic, Probabilistic Reasoning and Machine Learning

Explore Boolean logic, probabilistic reasoning, and machine learning through tractable circuits and knowledge compilation techniques for automated reasoning systems.

• YouTube
• 1 day 1 hour 51 minutes
• On-Demand
• Free Video

Designing and Implementing a Data Science Solution (Live Online)

8 ratings at CourseHorse

Master the art of designing and implementing data science solutions on Azure with this comprehensive course.

• CourseHorse
• 27 hours
• On-Demand
• $2,295.00

H2O.ai

Data Science and Machine Learning H2O.ai Platforms

Master H2O.ai's comprehensive data science toolkit for automated machine learning, model deployment, and generative AI applications, featuring Driverless AI, Wave App, and Enterprise GPTe.

• Coursera
• 1 hour 12 minutes
• On-Demand
• Paid Course

H2O.ai

H2O Driverless AI Starter Course

Master automated machine learning with H2O Driverless AI through hands-on training in data preprocessing, model development, and advanced features like custom recipe creation and hyperparameter tuning.

• Coursera
• 2 hours 29 minutes
• On-Demand
• Paid Course

Practical Machine Learning without Coding

Discover how to build, optimize, and deploy machine learning models using no-code platforms, from standard algorithms to advanced automation and real-world business integration.

• Coursera
• 3 hours 20 minutes
• On-Demand
• Paid Course

Data Science Festival

Automated Data Quality Checks for Big Datasets Using Machine Learning

Explore automated data quality checks for big datasets using Deequ, Spark, and ML techniques. Learn to enforce data reliability in real-time with practical examples from Amazon and Visa.

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

Cloud Native Machine Learning - Automated Anomaly Detection

Explore automated anomaly detection techniques for machine learning, enhancing your ability to identify and respond to data irregularities in cloud-native environments.

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

Exam Tips: Designing and Implementing a Data Science Solution on Azure (DP-100)

169 ratings at LinkedIn Learning

Discover tips and practical study strategies in preparation for the Microsoft DP-100 Designing and Implementing a Data Science Solution on Azure certification exam.

• LinkedIn Learning
• 48 minutes
• On-Demand
• Free Trial Available

Open Data Science

Automated Insights in Finance Using Machine Learning & AI

Explore AI and ML techniques for extracting actionable insights from alternative data sources in finance, leading to profitable trading strategies and robust portfolio construction.

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

Automated Machine Learning Performance Evaluation

Explore automated ML performance evaluation using cloud-native tools. Learn benchmarking concepts, parameters, and hands-on examples with Argo, Kubernetes, and Seldon Core for optimal model deployment.

• YouTube
• 26 minutes
• On-Demand
• Conference Talk

PioPetro

Automated Interpretation Using Machine Learning for Petroleum Engineering

Explore automated interpretation in petroleum engineering using machine learning, covering energy transition, geology, and petrophysics with Dr. Ali Bakr.

• YouTube
• 1 hour 23 minutes
• On-Demand
• Free Video

Toronto Machine Learning Series (TMLS)

Automated Inspection for Rail Cars Using Computer Vision and Machine Learning

Leverage computer vision and machine learning for automated rail car inspection. Explore challenges in developing robust models, including data selection, image quality, and imbalanced datasets.

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

VinAI

Probabilistic and Machine Learning Approaches for Autonomous Robots and Automated Driving

Explore probabilistic and machine learning approaches for autonomous robots and automated driving, focusing on robust perception and action execution in uncertain environments.

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