Machine Learning Courses and Certifications

MathWorks

Machine Learning for Computer Vision

18 ratings at Coursera

Learn to classify images and detect objects using machine learning in MATLAB. Apply the full workflow from data preparation to result evaluation, focusing on street sign classification and material defect detection.

• Coursera
• 11 hours 53 minutes
• On-Demand
• Free Online Course (Audit)

Developing Machine Learning Solutions

19 ratings at Coursera

Explore the ML lifecycle, AWS services, model evaluation, and MLOps to streamline development and deployment of ML projects.

• Coursera
• 1 hour 3 minutes
• On-Demand
• Free Online Course (Audit)

CertNexus

Build Regression, Classification, and Clustering Models

16 ratings at Coursera

Learn to build regression, classification, and clustering models using various algorithms. Gain hands-on experience in model selection, evaluation, and tuning for supervised and unsupervised learning tasks.

• Coursera
• 20 hours 19 minutes
• On-Demand
• Free Online Course (Audit)

CertNexus

Follow a Machine Learning Workflow

15 ratings at Coursera

Explore the machine learning workflow from problem formulation to model deployment, including data analysis, model training, and automation techniques for recurring business processes.

• Coursera
• 19 hours 59 minutes
• On-Demand
• Free Online Course (Audit)

Machine Learning Rapid Prototyping with IBM Watson Studio

13 ratings at Coursera

Explore automated AI capabilities for rapid prototyping in machine learning using IBM Watson Studio's AutoAI tool, focusing on data preparation, model selection, and hyperparameter optimization.

• Coursera
• 8 hours 53 minutes
• On-Demand
• Free Online Course (Audit)

Machine Learning Models in Science

12 ratings at Coursera

Explore machine learning techniques for scientific problems, from data preprocessing to advanced algorithms like neural networks, using medical and astronomical datasets.

• Coursera
• 11 hours 50 minutes
• On-Demand
• Free Online Course (Audit)

Edureka

Machine Learning and NLP Basics

12 ratings at Coursera

Comprehensive exploration of machine learning, deep learning, and NLP fundamentals. Covers core concepts, algorithms, and practical applications, equipping learners with essential skills for AI and data science.

• Coursera
• 19 hours 11 minutes
• On-Demand
• Free Online Course (Audit)

Getting Started with Amazon Personalize

Learn to build personalized recommendation engines using Amazon Personalize. Explore key concepts, features, and create a movie recommendation solution in your AWS account through a guided tutorial.

• Coursera
• 1 hour 3 minutes
• On-Demand
• Free Online Course (Audit)

Pretraining LLMs

Explore the process of pretraining large language models, from dataset creation to model evaluation. Learn to configure, initialize, and train models using Hugging Face, and understand performance benchmarks.

• Coursera
• 1 hour 3 minutes
• On-Demand
• Free Online Course (Audit)

Machine Learning Essentials for Business and Technical Decision Makers

Explore best practices for integrating machine learning into business processes, determining its suitability for problem-solving, and implementing successful organizational adoption strategies.

• Coursera
• 1 hour 3 minutes
• On-Demand
• Free Online Course (Audit)

Packt

Prerequisites and Advanced Machine Learning for NLP

Master Python, data analysis, and machine learning fundamentals. Explore advanced algorithms and deep learning for NLP applications. Develop skills for implementing and optimizing ML models in NLP tasks.

• Coursera
• 18 hours 41 minutes
• On-Demand
• Free Online Course (Audit)

Packt

Intermediate Data Manipulation and Machine Learning

Explore AI fundamentals, regression analysis, model preparation, classification techniques, and advanced machine learning concepts through interactive labs and real-world applications.

• Coursera
• 13 hours 1 minute
• On-Demand
• Free Online Course (Audit)

Packt

Machine Learning: Random Forest with Python from Scratch©

Master Python and Random Forest algorithm for machine learning. Build predictive models, handle data, and optimize performance through hands-on projects and real-world applications.

• Coursera
• 10 hours 13 minutes
• On-Demand
• Free Online Course (Audit)

AI and Machine Learning Algorithms and Techniques

Master core AI and ML algorithms through hands-on exploration of supervised, unsupervised, and reinforcement learning. Apply feature engineering, understand deep learning models, and evaluate techniques for real business solutions.

• Coursera
• 1 day 21 hours 27 minutes
• On-Demand
• Free Online Course (Audit)

Advanced AI and Machine Learning Techniques and Capstone

Master advanced AI techniques, from ensemble methods to ethical GenAI implementation, while building scalable systems and completing a real-world capstone project using Microsoft Azure.

• Coursera
• On-Demand
• Free Online Course (Audit)