Machine Learning Courses and Certifications

Fundamentals of Machine Learning and Artificial Intelligence

3590 ratings at Coursera

Explore AI, ML, and deep learning foundations, including generative AI. Gain insights into AWS services with AI/ML capabilities for solving real-world problems across industries.

• Coursera
• 1 hour 3 minutes
• Self-Paced
• Paid Course

Machine Learning in Production

3363 ratings at Coursera

Build intuition for end-to-end ML production systems, covering project scoping, data needs, modeling strategies, and deployment patterns. Learn to address challenges like concept drift and error analysis.

• Coursera
• 11 hours 8 minutes
• Self-Paced
• Paid Course

Exploratory Data Analysis for Machine Learning

2577 ratings at Coursera

Aprenda técnicas essenciais de análise exploratória de dados para machine learning, incluindo limpeza, engenharia de recursos e testes de hipóteses, preparando-se para projetos de IA.

• Coursera
• 14 hours 11 minutes
• Self-Paced
• Paid Course

Career Certificate

Machine Learning for Trading

1187 ratings at Coursera

Develop advanced trading strategies using machine learning and Python. Learn to leverage Google Cloud for serverless, scalable models in quantitative finance and algorithmic trading.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Production Machine Learning Systems

1034 ratings at Coursera

Dive into building high-performing ML systems in production, covering key components, best practices, and design considerations for optimal performance and adaptability.

• Coursera
• 18 hours 46 minutes
• Self-Paced
• Paid Course

Machine Learning in the Enterprise

1495 ratings at Coursera

Explore enterprise ML workflow, data management, and model building options using Google Cloud tools. Learn custom training, hyperparameter tuning, and best practices for ML development.

• Coursera
• 17 hours 47 minutes
• Self-Paced
• Paid Course

Smart Analytics, Machine Learning, and AI on Google Cloud

1249 ratings at Coursera

Explore machine learning integration in Google Cloud data pipelines, from AutoML to custom solutions with Notebooks, BigQuery ML, and Vertex AI for enhanced data insights.

• Coursera
• 6 hours 36 minutes
• Self-Paced
• Paid Course

Scalable Machine Learning on Big Data using Apache Spark

1252 ratings at Coursera

Learn to scale machine learning tasks on big data using Apache Spark. Gain hands-on experience with parallel processing, distributed storage, and SparkML Pipelines to handle petabyte-scale datasets efficiently.

• Coursera
• 6 hours 38 minutes
• Self-Paced
• Paid Course

Alberta Machine Intelligence Institute Career Certificate

Machine Learning: Algorithms in the Real World

1071 ratings at Coursera

Comprehensive journey through applied machine learning, from problem definition to deployment, equipping professionals to build and maintain successful ML applications across various domains.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses

Career Certificate

AI and Machine Learning Essentials with Python

52 ratings at Coursera

Gain essential skills in AI, machine learning, and Python programming. Learn statistics, solve real-world problems, and prepare for advanced study in these cutting-edge fields.

• Coursera
• 16 weeks, 8 hours/week
• Self-Paced
• Paid Course
• 3 courses

Google Cloud;  New York Institute of Finance

Introduction to Trading, Machine Learning & GCP

899 ratings at Coursera

Explore trading fundamentals, machine learning, and Google Cloud Platform to build quantitative strategies and models using Python, focusing on regression, time series, and neural networks.

• Coursera
• 5 hours 25 minutes
• Self-Paced
• Paid Course

Managing Machine Learning Projects

390 ratings at Coursera

Learn to identify ML opportunities, organize projects, handle data, design systems, and manage model lifecycles for successful machine learning implementations.

• Coursera
• 18 hours 26 minutes
• Self-Paced
• Paid Course

Machine Learning for Data Analysis

328 ratings at Coursera

Explore machine learning techniques for predictive analysis, covering decision trees, random forests, lasso regression, and k-means clustering. Gain hands-on experience applying these algorithms to real-world data.

• Coursera
• 10 hours 28 minutes
• Self-Paced
• Paid Course

Machine Learning Essentials

Explore statistical learning techniques for machine learning, including linear regression and classification. Apply concepts through Python coding assignments and practical problem-solving.

• Coursera
• 17 hours 59 minutes
• Self-Paced
• Paid Course

Introduction to Machine Learning in Sports Analytics

27 ratings at Coursera

Explore supervised machine learning techniques using Python and real athletic data to predict sports outcomes, applying methods like SVM, decision trees, and ensembles to analyze professional leagues and wearable device data.

• Coursera
• 12 hours 55 minutes
• Self-Paced
• Paid Course