Machine Learning Courses and Certifications

Packt

Advanced Machine Learning, Big Data, and Deep Learning

Master advanced ML techniques, big data processing with Apache Spark, and deep learning using TensorFlow/Keras for real-world AI applications and model deployment.

• Coursera
• 10 hours 45 minutes
• On-Demand
• Paid Course

EDUCBA

Learn & Build Machine Learning Models with Python

Discover how to build and evaluate machine learning models using Python, NumPy, Pandas, and Scikit-learn through hands-on projects and real-world applications.

• Coursera
• 8 hours 39 minutes
• On-Demand
• Paid Course

MathWorks

Detecting Anomalies with Machine Learning

Advance your career with AI-driven engineering solutions. Gain practical skills to detect anomalies early and ensure system performance.

• edX
• 4 weeks, 2-4 hours a week
• 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 16 minutes
• On-Demand
• Paid Course

Board Infinity

Machine Learning with Implementation in Java

Course Description Master end-to-end machine learning implementation using Java and its powerful ecosystem. This hands-on course helps you build ML models using tools like Tribuo, Weka, and DeepLearning4j, while also showing how to scale and deploy model…

• Coursera
• 13 hours 15 minutes
• On-Demand
• Paid Course

Microcredential

No-Code Machine Learning and Data Science for Everyone

Discover how to build machine learning models and analyze data using no-code tools, preparing you for data-driven roles across finance, retail, and healthcare industries.

• Coursera
• 8 weeks, 5 hours a week
• On-Demand
• Paid Course
• 3 courses

Packt

NLP – Machine Learning Models in Python

Master natural language processing with Python through practical applications in spam detection, sentiment analysis, text summarization, and topic modeling using algorithms like Naive Bayes, logistic regression, TextRank, and LDA.

• Coursera
• 8 hours 40 minutes
• On-Demand
• Paid Course

Packt

Machine Learning for Absolute Beginners - Level 1

Discover foundational machine learning concepts, AI applications, and generative AI through hands-on examples, covering supervised learning, neural networks, and real-world challenges.

• Coursera
• 7 hours 21 minutes
• On-Demand
• Paid Course

Packt

Machine Learning Foundations

Master feature engineering, core ML algorithms, and advanced techniques like neural networks and reinforcement learning through hands-on Python implementation.

• Coursera
• 7 hours 22 minutes
• On-Demand
• Paid Course

EDUCBA Microcredential

Apply Machine Learning for Predictive Business Analytics

Master machine learning techniques to solve business challenges in customer analytics, fraud detection, logistics, and supply chain optimization using R and real-world datasets.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course
• 4 courses

Machine Learning for Healthcare Applications

Master machine learning techniques for healthcare analytics, building predictive models for clinical decision support, patient phenotyping, and temporal analysis with focus on interpretability.

• Coursera
• 7 hours 41 minutes
• On-Demand
• Paid Course

Packt

Clustering and Classification with Machine Learning in R

Master R for data analysis: from preprocessing to advanced machine learning algorithms. Gain practical skills in clustering, classification, and dimension reduction using real-world datasets and popular R packages.

• Coursera
• 11 hours 42 minutes
• On-Demand
• Paid Course

EDUCBA

Machine Learning in Python: Analyze & Apply

Master Python's data science ecosystem through hands-on machine learning fundamentals, NumPy, Matplotlib, Pandas, and scikit-learn with advanced applications like face recognition and sentiment analysis.

• Coursera
• 13 hours 53 minutes
• On-Demand
• Paid Course

EDUCBA

Machine Learning with Python: Diabetes Prediction

Master diabetes prediction using Python and machine learning through hands-on practice with real healthcare data, logistic regression, and ROC curve evaluation techniques.

• Coursera
• 2 hours 32 minutes
• On-Demand
• Paid Course

Managing Machine Learning Models

Master model lifecycle management from creation to deployment, including governance, testing, monitoring, and automated scoring across SAS, Python, and R environments.

• Coursera
• 8 hours 34 minutes
• On-Demand
• Paid Course