Machine Learning Courses and Certifications

Coursera

Build a Machine Learning Web App with Streamlit and Python

Create an interactive ML web app using Streamlit and Python, allowing users to choose algorithms and set parameters without coding, in under 100 lines of code.

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

CertNexus

Solve Business Problems with AI and Machine Learning

Explore AI and ML applications in business, learn about tools and resources, and address ethical considerations in implementing these technologies for actionable insights and innovation.

• Coursera
• 11 hours 20 minutes
• Self-Paced
• Paid Course

AI Workflow: Machine Learning, Visual Recognition and NLP

Explore machine learning, visual recognition, and NLP in AI workflows. Learn evaluation metrics, model selection, and best practices for linear models, tree-based algorithms, and neural networks using IBM Watson.

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

Build and Operate Machine Learning Solutions with Azure

Aprende a usar Azure Machine Learning para crear, desplegar y gestionar soluciones de ML a escala empresarial, aprovechando tus conocimientos de Python y frameworks como Scikit-Learn, PyTorch y Tensorflow.

• Coursera
• 1 day 6 hours 54 minutes
• Self-Paced
• Paid Course

Building a Workflow for AI

1 rating at Udacity

Master AI-driven trading through machine learning techniques including reinforcement learning, supervised/unsupervised methods, and model backtesting with real financial data.

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

Microsoft Azure for AI and Machine Learning

Master Azure's AI and ML capabilities through hands-on experience, from configuring resources to deploying models in production, while learning end-to-end ML pipeline implementation and monitoring.

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

Coursera

Mining Quality Prediction Using Machine & Deep Learning

Predict silica concentrate in iron ore using machine learning and deep learning models. Explore data, train models, and evaluate performance for faster mining industry predictions.

• Coursera
• 1 hour 55 minutes
• Self-Paced
• Paid Course

Coursera

Scikit-Learn For Machine Learning Classification Problems

Learn to build and train classifier models using Scikit-Learn, exploring algorithms for classification, regression, and clustering, including support vector machines, random forests, and k-means.

• Coursera
• 1 hour 48 minutes
• Self-Paced
• Paid Course

Fraud Detection on Financial Transactions with Machine Learning on Google Cloud

This is a self-paced lab that takes place in the Google Cloud console. Explore financial transactions data for fraud analysis, apply feature engineering and machine learning techniques to detect fraudulent activities using BigQuery ML.

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

LearnKartS

Introduction to AI and Machine Learning

Discover the fundamentals of AI and ML with AWS, covering supervised and unsupervised learning, neural networks, NLP, computer vision, and hands-on experience with Amazon SageMaker for model deployment and optimization.

• Coursera
• 8 hours 44 minutes
• Self-Paced
• Paid Course

Coursera

Scikit-Learn to Solve Regression Machine Learning Problems

Learn to build and train regression models using Scikit-Learn, exploring algorithms like support vector machines, random forests, and gradient boosting. Gain practical skills applicable to various industries.

• Coursera
• 1 hour 56 minutes
• Self-Paced
• Paid Course

Corporate Finance Institute

Data Science & Machine Learning Fundamentals

Master data science fundamentals through real-world business applications, from regression and classification to feature engineering. Gain practical insights for implementing data-driven decision making in your organization.

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

Birla Institute Of Technology And Science–Pilani (BITS–Pilani)

Linear Algebra for Machine Learning & AI

Master the mathematical foundations of AI and ML through matrices, linear systems, eigenvalues, transformations, and programming to build essential analytical skills.

• Coursera
• 1 day 11 hours 51 minutes
• Self-Paced
• Paid Course

Coursera

CNNs with TensorFlow: Basics of Machine Learning

Learn to build and analyze neural networks for image classification using TensorFlow. Design, implement, and evaluate models for a retail marketing campaign, with applications in various fields.

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

Arm Education

Getting Started with Machine Learning at the Edge on Arm

Learn to implement machine learning on Arm-based microcontrollers, covering AI basics, datasets, neural networks, and computer vision. Gain practical skills in deploying ML applications for speech recognition and image processing.

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