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Web Development with C#
10 Courses
439 TasksBeginner
4.7
(3369)
track
Only for Ultimate
Python from Zero to Hero
6 Courses215 TasksBeginner
4.6
(12483)
track
Only for Ultimate
SQL from Zero to Hero
7 Courses249 TasksBeginner
4.7
(3573)
track
Only for Ultimate
Π‘++ Essentials
6 Courses124 TasksBeginner
4.3
(1040)
track
Only for Ultimate
Game Development with Unity
4 Courses164 TasksBeginner
4.4
(208)
Courses & Projects
course
Node.js Event Loop and Asynchronous Code
Understand how Node.js manages asynchronous operations and concurrency through its event loop. Explore callbacks, Promises, and async/await to control complex asynchronous flows with clarity. Apply modern patterns and best practices to write efficient, non-blocking, and resilient JavaScript for real-world Node.js applications.
2 hours
13 chaptersIntermediate
course
Node.js Events and Process Management
Explore how Node.js connects event-driven programming with powerful process management tools. Create custom event emitters, manage processes and signals, and control child processes for advanced application workflows. Combine these concepts to design efficient, scalable systems built on Nodeβs asynchronous architecture.
2 hours 13 chaptersIntermediate
course
Objects and Prototypes in JavaScript
Build and manipulate objects to organize data, extend functionality with prototypes, and control context using the this keyword. Apply inheritance, composition, and immutability to write flexible, maintainable code, and use modern techniques like Object.assign and the spread syntax to create clean, efficient object patterns for any project.
1 hour 13 chaptersBeginner
1 STUDYING NOW
course
Optimization Methods for Data Analytics
Master the practical skills to formulate, solve, and interpret optimization problems for analytics-driven decision making. Learn hands-on modeling of linear and integer programs, resource allocation, transportation, assignment, and sensitivity analysis using Python and industry-standard solvers.
1 hour 12 chaptersBeginner
2 STUDYING NOW
course
Optimization and Regularization in Neural Networks with Python
Master the mathematical and practical foundations of neural network optimization, explore advanced regularization techniques, and gain hands-on experience with PyTorch and TensorFlow for robust model training.
2 hours 12 chaptersIntermediate
course
PHP Core Concepts
Learn the core PHP essentials needed to build dynamic, interactive web applications. Master functions, handle form data safely, work with superglobals, and manage file operations with confidence to create clean, secure, and reliable PHP projects.
2 hours 20 chaptersBeginner
2 STUDYING NOW
course
Principal Component Analysis in Python
A comprehensive intermediate course guiding learners through the motivation, mathematical foundations, and practical implementation of Principal Component Analysis (PCA) for dimensionality reduction in data science and machine learning.
2 hours 12 chaptersIntermediate
course
Probability Distributions for Machine Learning
Build strong intuition for probability distributions central to machine learning. Explore the exponential family, Gaussian, Bernoulli, and Multinomial distributions, and understand their roles in modeling, loss functions, and inference, with minimal code and clear visualizations.
3 hours 15 chaptersAdvanced
course
Python for Mathematics
A practical course designed for math students to harness the power of Python for solving mathematical problems, visualizing data, and applying computational thinking to real-world scenarios. Each section blends engaging theory with hands-on challenges, focusing on mathematical applications and problem-solving.
2 hours 21 chaptersBeginner
3 STUDYING NOW
course
RAG Theory Essentials
A comprehensive, theory-focused course on the core concepts, architectures, and evaluation strategies behind Retrieval-Augmented Generation (RAG) systems. Designed for learners seeking a deep understanding of why RAG exists, how retrieval and generation are integrated, and how to evaluate and improve RAG pipelines.
1 hour 9 chaptersIntermediate
2 STUDYING NOW
course
Reactive Java
Explore the fundamentals and advanced concepts of Reactive Programming in Java. This course provides a comprehensive, theory-driven approach with practical, real-world examples to help you understand and apply reactive principles in Java applications.
2 hours 12 chaptersIntermediate
1 STUDYING NOW
course
Simulation and Monte Carlo Modeling with Python
Master the essentials of simulation and Monte Carlo modeling in Python. Learn to generate random samples, build uncertainty models, estimate risk, and simulate simple financial scenarios using practical code and hands-on exercises.
2 hours 14 chaptersIntermediate
1 STUDYING NOW
course
Spectral Methods in Machine Learning
Explore the mathematical foundations of spectral methods in machine learning. Understand how eigenvalues, eigenvectors, and spectral decompositions underpin dimensionality reduction, graph learning, and kernel methods, with a focus on theory and structure.
2 hours 9 chaptersAdvanced
course
Statistical Learning Theory Foundations
Explore the mathematical foundations of machine learning generalization. This course covers empirical risk minimization, biasβvariance tradeoff, VC dimension, generalization bounds, and the theory of overfitting, equipping you with rigorous intuition for model selection and evaluation.
2 hours 13 chaptersAdvanced
course
Strings and Data Formats in Python
A beginner-friendly course focused on mastering string manipulation and handling various data formats in Python. Learn essential techniques for processing, formatting, and converting data, with hands-on practice and quizzes to reinforce your understanding.
1 hour 15 chaptersBeginner
2 STUDYING NOW
Sorry... We can't find
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Career tracks
track
Only for UltimateWeb Development with C#
10 Courses439 TasksBeginner
4.7
(3369)
track
Only for UltimatePython from Zero to Hero
6 Courses215 TasksBeginner
4.6
(12483)
track
Only for UltimateSQL from Zero to Hero
7 Courses249 TasksBeginner
4.7
(3573)
track
Only for UltimateΠ‘++ Essentials
6 Courses124 TasksBeginner
4.3
(1040)
track
Only for UltimateGame Development with Unity
4 Courses164 TasksBeginner
4.4
(208)
track
Only for Ultimate
Web Development with C#
10 Courses439 Tasks 4.7
track
Only for Ultimate
Python from Zero to Hero
6 Courses215 Tasks 4.6
track
Only for Ultimate
SQL from Zero to Hero
7 Courses249 Tasks 4.7
track
Only for Ultimate
Π‘++ Essentials
6 Courses124 Tasks 4.3
track
Only for Ultimate
Game Development with Unity
4 Courses164 Tasks 4.4
Courses & Projects
Technologies
course
Node.js Event Loop and Asynchronous Code
Understand how Node.js manages asynchronous operations and concurrency through its event loop. Explore callbacks, Promises, and async/await to control complex asynchronous flows with clarity. Apply modern patterns and best practices to write efficient, non-blocking, and resilient JavaScript for real-world Node.js applications.
2 hours 13 chaptersIntermediate
course
Node.js Events and Process Management
Explore how Node.js connects event-driven programming with powerful process management tools. Create custom event emitters, manage processes and signals, and control child processes for advanced application workflows. Combine these concepts to design efficient, scalable systems built on Nodeβs asynchronous architecture.
2 hours 13 chaptersIntermediate
course
Objects and Prototypes in JavaScript
Build and manipulate objects to organize data, extend functionality with prototypes, and control context using the this keyword. Apply inheritance, composition, and immutability to write flexible, maintainable code, and use modern techniques like Object.assign and the spread syntax to create clean, efficient object patterns for any project.
1 hour 13 chaptersBeginner
1 STUDYING NOW
course
Optimization Methods for Data Analytics
Master the practical skills to formulate, solve, and interpret optimization problems for analytics-driven decision making. Learn hands-on modeling of linear and integer programs, resource allocation, transportation, assignment, and sensitivity analysis using Python and industry-standard solvers.
1 hour 12 chaptersBeginner
2 STUDYING NOW
course
Optimization and Regularization in Neural Networks with Python
Master the mathematical and practical foundations of neural network optimization, explore advanced regularization techniques, and gain hands-on experience with PyTorch and TensorFlow for robust model training.
2 hours 12 chaptersIntermediate
course
PHP Core Concepts
Learn the core PHP essentials needed to build dynamic, interactive web applications. Master functions, handle form data safely, work with superglobals, and manage file operations with confidence to create clean, secure, and reliable PHP projects.
2 hours 20 chaptersBeginner
2 STUDYING NOW
course
Principal Component Analysis in Python
A comprehensive intermediate course guiding learners through the motivation, mathematical foundations, and practical implementation of Principal Component Analysis (PCA) for dimensionality reduction in data science and machine learning.
2 hours 12 chaptersIntermediate
course
Probability Distributions for Machine Learning
Build strong intuition for probability distributions central to machine learning. Explore the exponential family, Gaussian, Bernoulli, and Multinomial distributions, and understand their roles in modeling, loss functions, and inference, with minimal code and clear visualizations.
3 hours 15 chaptersAdvanced
course
Python for Mathematics
A practical course designed for math students to harness the power of Python for solving mathematical problems, visualizing data, and applying computational thinking to real-world scenarios. Each section blends engaging theory with hands-on challenges, focusing on mathematical applications and problem-solving.
2 hours 21 chaptersBeginner
3 STUDYING NOW
course
RAG Theory Essentials
A comprehensive, theory-focused course on the core concepts, architectures, and evaluation strategies behind Retrieval-Augmented Generation (RAG) systems. Designed for learners seeking a deep understanding of why RAG exists, how retrieval and generation are integrated, and how to evaluate and improve RAG pipelines.
1 hour 9 chaptersIntermediate
2 STUDYING NOW
course
Reactive Java
Explore the fundamentals and advanced concepts of Reactive Programming in Java. This course provides a comprehensive, theory-driven approach with practical, real-world examples to help you understand and apply reactive principles in Java applications.
2 hours 12 chaptersIntermediate
1 STUDYING NOW
course
Simulation and Monte Carlo Modeling with Python
Master the essentials of simulation and Monte Carlo modeling in Python. Learn to generate random samples, build uncertainty models, estimate risk, and simulate simple financial scenarios using practical code and hands-on exercises.
2 hours 14 chaptersIntermediate
1 STUDYING NOW
course
Spectral Methods in Machine Learning
Explore the mathematical foundations of spectral methods in machine learning. Understand how eigenvalues, eigenvectors, and spectral decompositions underpin dimensionality reduction, graph learning, and kernel methods, with a focus on theory and structure.
2 hours 9 chaptersAdvanced
course
Statistical Learning Theory Foundations
Explore the mathematical foundations of machine learning generalization. This course covers empirical risk minimization, biasβvariance tradeoff, VC dimension, generalization bounds, and the theory of overfitting, equipping you with rigorous intuition for model selection and evaluation.
2 hours 13 chaptersAdvanced
course
Strings and Data Formats in Python
A beginner-friendly course focused on mastering string manipulation and handling various data formats in Python. Learn essential techniques for processing, formatting, and converting data, with hands-on practice and quizzes to reinforce your understanding.
1 hour 15 chaptersBeginner
2 STUDYING NOW
course
Node.js Event Loop and Asynchronous Code
Understand how Node.js manages asynchronous operations and concurrency through its event loop. Explore callbacks, Promises, and async/await to control complex asynchronous flows with clarity. Apply modern patterns and best practices to write efficient, non-blocking, and resilient JavaScript for real-world Node.js applications.
2 hours 13 chaptersIntermediate
course
Node.js Events and Process Management
Explore how Node.js connects event-driven programming with powerful process management tools. Create custom event emitters, manage processes and signals, and control child processes for advanced application workflows. Combine these concepts to design efficient, scalable systems built on Nodeβs asynchronous architecture.
2 hours 13 chaptersIntermediate
course
Objects and Prototypes in JavaScript
Build and manipulate objects to organize data, extend functionality with prototypes, and control context using the this keyword. Apply inheritance, composition, and immutability to write flexible, maintainable code, and use modern techniques like Object.assign and the spread syntax to create clean, efficient object patterns for any project.
1 hour 13 chaptersBeginner
1 STUDYING NOW
course
Optimization Methods for Data Analytics
Master the practical skills to formulate, solve, and interpret optimization problems for analytics-driven decision making. Learn hands-on modeling of linear and integer programs, resource allocation, transportation, assignment, and sensitivity analysis using Python and industry-standard solvers.
1 hour 12 chaptersBeginner
2 STUDYING NOW
course
Optimization and Regularization in Neural Networks with Python
Master the mathematical and practical foundations of neural network optimization, explore advanced regularization techniques, and gain hands-on experience with PyTorch and TensorFlow for robust model training.
2 hours 12 chaptersIntermediate
course
PHP Core Concepts
Learn the core PHP essentials needed to build dynamic, interactive web applications. Master functions, handle form data safely, work with superglobals, and manage file operations with confidence to create clean, secure, and reliable PHP projects.
2 hours 20 chaptersBeginner
2 STUDYING NOW
course
Principal Component Analysis in Python
A comprehensive intermediate course guiding learners through the motivation, mathematical foundations, and practical implementation of Principal Component Analysis (PCA) for dimensionality reduction in data science and machine learning.
2 hours 12 chaptersIntermediate
course
Probability Distributions for Machine Learning
Build strong intuition for probability distributions central to machine learning. Explore the exponential family, Gaussian, Bernoulli, and Multinomial distributions, and understand their roles in modeling, loss functions, and inference, with minimal code and clear visualizations.
3 hours 15 chaptersAdvanced
course
Python for Mathematics
A practical course designed for math students to harness the power of Python for solving mathematical problems, visualizing data, and applying computational thinking to real-world scenarios. Each section blends engaging theory with hands-on challenges, focusing on mathematical applications and problem-solving.
2 hours 21 chaptersBeginner
3 STUDYING NOW
course
RAG Theory Essentials
A comprehensive, theory-focused course on the core concepts, architectures, and evaluation strategies behind Retrieval-Augmented Generation (RAG) systems. Designed for learners seeking a deep understanding of why RAG exists, how retrieval and generation are integrated, and how to evaluate and improve RAG pipelines.
1 hour 9 chaptersIntermediate
2 STUDYING NOW
course
Reactive Java
Explore the fundamentals and advanced concepts of Reactive Programming in Java. This course provides a comprehensive, theory-driven approach with practical, real-world examples to help you understand and apply reactive principles in Java applications.
2 hours 12 chaptersIntermediate
1 STUDYING NOW
course
Simulation and Monte Carlo Modeling with Python
Master the essentials of simulation and Monte Carlo modeling in Python. Learn to generate random samples, build uncertainty models, estimate risk, and simulate simple financial scenarios using practical code and hands-on exercises.
2 hours 14 chaptersIntermediate
1 STUDYING NOW
course
Spectral Methods in Machine Learning
Explore the mathematical foundations of spectral methods in machine learning. Understand how eigenvalues, eigenvectors, and spectral decompositions underpin dimensionality reduction, graph learning, and kernel methods, with a focus on theory and structure.
2 hours 9 chaptersAdvanced
course
Statistical Learning Theory Foundations
Explore the mathematical foundations of machine learning generalization. This course covers empirical risk minimization, biasβvariance tradeoff, VC dimension, generalization bounds, and the theory of overfitting, equipping you with rigorous intuition for model selection and evaluation.
2 hours 13 chaptersAdvanced
course
Strings and Data Formats in Python
A beginner-friendly course focused on mastering string manipulation and handling various data formats in Python. Learn essential techniques for processing, formatting, and converting data, with hands-on practice and quizzes to reinforce your understanding.
1 hour 15 chaptersBeginner
2 STUDYING NOW
Sorry... We can't find
what you're looking for
