Machine Learning Courses and Certifications

Learning TensorFlow: the Hello World of Machine Learning

Explore the basics of machine learning by building a system trained on data to infer rules determining number relationships in Google Cloud.

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

Whizlabs

AWS: Machine Learning & MLOps Foundations

Master foundational ML concepts, model evaluation, and MLOps using AWS services like SageMaker to build end-to-end workflows and prepare for MLA-C01 certification.

• Coursera
• 5 hours 48 minutes
• Self-Paced
• Paid Course

Whizlabs Career Certificate

Exam Prep MLA-C01: AWS Machine Learning Engineer Associate

Master AWS machine learning engineering with hands-on training in SageMaker, MLOps, feature engineering, model deployment, and managed AI services for MLA-C01 certification.

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

Career Certificate

Machine Learning with TensorFlow on Google Cloud em Português Brasileiro

Aprenda Machine Learning com TensorFlow no Google Cloud: desde estratégia até implementação prática, abordando redes neurais, problemas supervisionados e otimização de modelos para soluções escaláveis.

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

Packt

Fundamentals of AI, Machine Learning, and Python Programming

Master AI, machine learning, and Python programming fundamentals. Explore deep learning, neural networks, and essential libraries. Apply knowledge through hands-on projects in regression and classification for real-world problem-solving.

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

Computer System Optimizations for ML

Explore system optimization techniques for ML algorithms, covering CNN, LLMs, and GNNs across edge and cloud computing environments. Ideal for advanced students in computer systems and machine learning.

• Swayam
• Self-Paced
• Free Online Course

Packt

Machine Learning with PyTorch and Scikit-Learn

Master machine learning and deep learning with PyTorch and Scikit-Learn through practical examples, covering neural networks, transformers, GANs, and reinforcement learning techniques.

• Coursera
• 1 day 19 hours 12 minutes
• Self-Paced
• Paid Course

Packt

Foundations of Data Science and Machine Learning with Python

Master data science and machine learning fundamentals using Python libraries for analysis, visualization, and predictive modeling with hands-on projects.

• Coursera
• 8 hours 52 minutes
• Self-Paced
• Paid Course

Corporate Finance Institute

Data Prep for Machine Learning in Python

Master data preparation techniques for machine learning in Python, from importing and cleaning to feature engineering and selection. Learn imputation, EDA, and transformations for optimal ML model performance.

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

Coursera

Machine Learning with PySpark: Recommender System

Master building scalable recommendation systems using PySpark and OpenAI embeddings to create personalized product suggestions through K-means clustering and data processing pipelines for e-commerce applications.

• Coursera
• 1 hour 57 minutes
• Self-Paced
• Paid Course

Career Certificate

Machine Learning Operations (MLOps) on Google Cloud

Master MLOps on Google Cloud by exploring the full lifecycle—feature management, model evaluation, automated workflows, and production-grade pipelines using Vertex AI and Kubeflow SDK.

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

Coursera Career Certificate

Satellite Imagery, Remote Sensing & Machine Learning

Master satellite imagery analysis and machine learning to transform raw Earth observation data into actionable environmental insights for GIS, climate, and sustainability applications.

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

Packt Career Certificate

R Ultimate 2024 - R for Data Science and Machine Learning

Master R programming for data science and machine learning, covering fundamentals to advanced techniques in statistical analysis, visualization, and AI applications.

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

AWS Certified Machine Learning - Specialty

Master the complete machine learning lifecycle on AWS, from data engineering to model deployment, preparing you for the specialty certification exam.

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

Statistics You Need to Know for Machine Learning

Discover essential statistical concepts for machine learning, from linear and logistic regression to model selection and diagnostics, bridging traditional statistics with modern data science.

• Coursera
• 2 days 3 hours 28 minutes
• Self-Paced
• Paid Course