This article contains verified ✅ certification links to all the courses I completed on Coursera.
Specialization: Machine Learning Engineering for Production (MLOps)
Courses:
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Introduction to Machine Learning in Production
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Machine Learning Data Lifecycle in Production
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Machine Learning Modeling Pipelines in Production
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Deploying Machine Learning Models in Production
- Certificate: Ongoing
Specialization: Deep Learning
Certificate: https://www.coursera.org/account/accomplishments/specialization/certificate/95A5RPFS8YQT
Courses:
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Neural Networks and Deep Learning
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Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
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Structuring Machine Learning Projects
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Convolutional Neural Networks
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Sequence Models
Specialization: Mathematics for Data Science
Certificate: https://www.coursera.org/account/accomplishments/specialization/certificate/B7WTZN4URXDP
Courses:
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Discrete Math and Analyzing Social Graphs
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Calculus and Optimization for Machine Learning
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First Steps in Linear Algebra for Machine Learning
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Probability Theory, Statistics and Exploratory Data Analysis
Course: Machine Learning
Course: Introduction to numerical analysis
Course: Introduction to Ordinary Differential Equations
Course: SQL for Data Science
Course: Fundamentals of Scalable Data Science
Specialization: Data Structures and Algorithms
Courses:
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Algorithm Toolbox
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Data Structures
- Algorithms on Graphs (TODO)
- Algorithms on Strings (TODO)
- Advanced Algorithms and Complexity (TODO)
- Genome Assembly Programming Challenge (TODO)
Specialization: Software Design and Architecture Specialization
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Object-Oriented Design
- Design Patterns (TODO)
- Software Architecture (TODO)
- Service-Oriented Architecture (TODO)
Specialization: Full Stack Web Development
Courses:
- HTML, CSS and JavaScript (Audited)
- Front-End Web UI Frameworks and Tools (Audited)