Machine Learning Courses and Certifications

Skill Up with Python: Data Science and Machine Learning Recipes

Master Python through hands-on data science and ML projects including sentiment analysis, image recognition, web scraping, and data visualization in Jupyter Notebooks.

• Coursera
• 4 hours 51 minutes
• Self-Paced
• Paid Course

Packt

Regression Analysis for Statistics & Machine Learning in R

Enhance regression analysis skills in R: from OLS to advanced techniques like GLMs, non-linear models, and machine learning approaches. Practical implementation and result interpretation included.

• Coursera
• 10 hours 30 minutes
• Self-Paced
• Paid Course

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
• Self-Paced
• Paid Course

Using BigQuery Machine Learning for inference

Master BigQuery ML for inference through hands-on training in creating, managing, and implementing machine learning models for data analysis within the BigQuery environment.

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

EDUCBA

Master Machine Learning with TensorFlow: Basics to Advanced

Master TensorFlow fundamentals through hands-on projects, from data preprocessing to deep learning models, using industry-standard tools for real-world ML applications.

• Coursera
• 19 hours 49 minutes
• Self-Paced
• Paid Course

Packt

Matrix Calculus for Data Science & Machine Learning

Master the fundamentals of matrix calculus for data science applications, including vector derivatives, optimization techniques, and practical implementations in Python for machine learning algorithms.

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

Edureka Career Certificate

No-Code Data Science and Machine Learning

Master data science and ML through no-code tools like KNIME, Orange, and Google Vertex AI. Build pipelines, train models, and deploy solutions without programming.

• Coursera
• 8 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 2 courses

Data Science and Machine Learning for Business Professionals

Discover foundational data science and machine learning skills to make confident, data-driven decisions and communicate insights effectively to stakeholders in any professional setting.

• Coursera
• 10 hours 41 minutes
• Self-Paced
• Paid Course

Azure Machine Learning: Explore and configure the workspace

You will learn about setting up and managing an Azure Machine Learning Workspace. The content focuses on the initial configuration and exploration of the Azure Machine Learning environment, providing a foundational understanding of the workspace.

• edX
• 2 weeks, 2-3 hours/week
• Self-Paced
• Free Online Course (Audit)

Packt

Game Development, Data Science, and Machine Learning

Explore game development with Pygame, data science with NumPy/Pandas, and machine learning with Scikit-learn through hands-on projects and real-world applications.

• Coursera
• 17 hours 45 minutes
• Self-Paced
• Paid Course

AI TIME:KDD2021-3

Explore cutting-edge AI research and developments presented at KDD2021, focusing on machine learning innovations, data mining techniques, and real-world applications.

• XuetangX
• Self-Paced
• Free Online Course

Azure Machine Learning: Deploy and consume models

This course teaches how to deploy and use machine learning models with Azure Machine Learning. You'll learn the essentials of getting your trained models ready for real-world applications and how to make predictions using them within the Azure cloud plat…

• edX
• 1 week, 1-2 hours/week
• Self-Paced
• Free Online Course (Audit)

Azure Machine Learning: Train models with scripts

This course contains information about training machine learning models using scripts within the Azure Machine Learning platform. You will learn how to programmatically train models in Azure's cloud environment, focusing on a scripted approach to machine…

• edX
• 2 weeks, 1-2 hours/week
• Self-Paced
• Free Online Course (Audit)

Coursera Career Certificate

Vector Databases for Machine Learning: A Comprehensive Guide

Master vector databases, build semantic search and RAG systems, and implement Chroma & Weaviate to advance careers in ML engineering, AI infrastructure, and data science.

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

Coursera

Advancing Your Career in AI and Machine Learning Engineering

Unlock strategies to advance your AI and ML engineering career, from building a portfolio and resume to navigating interviews and exploring roles in MLOps, AI systems, and applied machine learning.

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