Curated learning path for Model Optimization. Build practical skills through expert-selected courses.
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Basic algebra and statistics helpful but not required
Any programming experience; Python preferred
Optimization Algorithms on Coursera
IntermediateCalculus and Optimization for Machine Learning
IntermediateConvex Optimization
AdvancedData Processing and Optimization with Generative AI
AdvancedDiscrete Optimization
IntermediateGenAI for Supply Chain Optimization
BeginnerMathematical Optimization for Data Science
IntermediateOptimization Models for Machine Learning
IntermediateAdvanced Machine Learning: Optimization
IntermediateOptimization Methods for Machine Learning
AdvancedImproving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
IntermediateOptimization Algorithms on Coursera
IntermediateCalculus and Optimization for Machine Learning
IntermediateConvex Optimization
AdvancedData Processing and Optimization with Generative AI
AdvancedDiscrete Optimization
IntermediateGenAI for Supply Chain Optimization
BeginnerMathematical Optimization for Data Science
IntermediateOptimization Models for Machine Learning
IntermediateAdvanced Machine Learning: Optimization
IntermediateOptimization Methods for Machine Learning
AdvancedImproving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
IntermediateFollow these courses in order to complete the learning path. Click on any course to enroll.
A search result page on Coursera for courses related to optimization algorithms, offering a variety of options.
This course covers fundamental mathematical concepts for machine learning, including derivatives, integrals, and optimization techniques like gradient descent.
This course, taught by a leading expert, covers the fundamentals of convex optimization and its applications.
This course covers advanced methods for data cleaning, preparation, and optimization using AI-assisted tools. You'll learn to generate synthetic data, address privacy concerns, and resolve data quality issues.
While not strictly focused on convex/stochastic optimization for ML, this course provides a strong foundation in optimization principles through discrete problems.
A beginner-friendly course exploring how Generative AI is transforming supply chain management, covering applications in demand forecasting, inventory optimization, and logistics through practical insights and case studies.
This course covers the mathematical foundations of optimization and its applications in data science.
Learn to formulate and solve various optimization models that are central to machine learning algorithms.
A lecture focusing on the role of optimization in machine learning, covering various algorithms and their properties.
A specialization covering a range of optimization methods used in machine learning, from foundational concepts to advanced techniques.
Learn DeepLearning.AI Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
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See the side-by-side breakdown and our pick by scenario
See the side-by-side breakdown and our pick by scenario
Curated learning path for Model Optimization. Build practical skills through expert-selected courses.
You'll work through Understand core concepts and foundations; Build your first projects with guided tutorials; Gain confidence with hands-on exercises; Build and train machine learning models from scratch; Understand supervised, unsupervised, and reinforcement learning paradigms; Evaluate model performance using industry-standard metrics.
It's pitched at beginner level — a solid starting point if you're new to the topic.
11 curated courses, sequenced from foundational to advanced.
Around $147 total if you buy every course — but many include free audit options.
Enroll in this path to track your progress and stay motivated.