
University of Colorado Boulder
Skills you'll gain: Theoretical Computer Science, Algorithms, Graph Theory, Data Structures, Quantum computing, Cryptography, Design Strategies, Encryption, Data Science, Informatics, Computer Science, Mathematical Modeling, Analysis, Python Programming, Model Optimization
★ 4.7 (981) · Advanced · Specialization · 3 - 6 Months

University of California San Diego
Skills you'll gain: Algorithms, Network Routing, Network Model, Graph Theory, Operations Research, Theoretical Computer Science, Network Analysis, Applied Mathematics, Computational Thinking, Computer Science, Big Data, Python Programming, Model Optimization
★ 4.6 (703) · Advanced · Course · 1 - 3 Months

Princeton University
Skills you'll gain: Combinatorics, Algorithms, Mathematical Theory & Analysis, Data Structures, Mathematical Modeling, Calculus
★ 4.4 (1.1K) · Advanced · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Theoretical Computer Science, Algorithms, Data Structures, Design Strategies, Quantum computing, Python Programming
★ 4.7 (279) · Advanced · Course · 1 - 4 Weeks

University of Toronto
Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Control Systems, Robotics, Deep Learning, Simulation and Simulation Software, Software Architecture, Simulations, Safety Assurance, Artificial Neural Networks, Global Positioning Systems, Hardware Architecture, Systems Architecture, Estimation, Algorithms, Model Training, Computer Hardware, Mathematical Modeling, Linear Algebra
★ 4.7 (3.6K) · Advanced · Specialization · 3 - 6 Months

University of Colorado Boulder
Skills you'll gain: Algorithms, Mathematical Modeling, Model Optimization, Python Programming
★ 4.8 (67) · Advanced · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Quantum computing, Cryptography, Data Structures, Algorithms, Encryption, Computer Science
★ 4.6 (70) · Advanced · Course · 1 - 4 Weeks

Amazon Web Services
Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Personally Identifiable Information, Dashboard Creation, Token Optimization, Generative AI Agents, Responsible AI, AI Workflows, Generative AI, Agentic systems, Enterprise Architecture, API Design, API Gateway, Performance Tuning, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Cloud Applications, Artificial Intelligence, Cloud Platforms, Machine Learning
Advanced · Professional Certificate · 3 - 6 Months

Coursera
Skills you'll gain: Apache Airflow, Model Optimization, Data Validation, Image Analysis, Transfer Learning, Data Preprocessing, Data Integrity, Model Evaluation, Debugging, Computer Vision, PyTorch (Machine Learning Library), Data Pipelines, Feature Engineering, MLOps (Machine Learning Operations), Tensorflow, Algorithms, Model Training, Embeddings, Performance Tuning, Deep Learning
Advanced · Specialization · 3 - 6 Months

28DIGITAL
Skills you'll gain: Data Structures, Algorithms, Memory Management, Graph Theory, Data Access
★ 4.6 (60) · Advanced · Course · 1 - 3 Months

Skills you'll gain: Software Design Patterns, Software Design, Algorithms, Software Development, Data Structures, Computer Programming, Problem Solving, Computer Science, Machine Learning Methods
Advanced · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Bash (Scripting Language), Distributed Computing, Scalability, Memory Management, Computer Systems, Computer Science, File I/O, Big Data, File Systems, Scripting, Performance Tuning, Linux, C++ (Programming Language), C (Programming Language)
★ 3.8 (187) · Advanced · Specialization · 3 - 6 Months
High-quality free Algorithms courses you can start today.
Top-rated Algorithms courses offered by University of Colorado Boulder on Coursera.
Earn a certificate in Algorithms from top universities and companies.
A background in algorithms can lead to various career opportunities. Positions such as software developer, data scientist, systems analyst, and algorithm engineer are common paths. Additionally, roles in artificial intelligence and machine learning often require a strong understanding of algorithms. Companies across industries seek professionals who can design and implement effective algorithms to enhance their products and services.‎
To learn algorithms effectively, you should focus on several key skills. First, a solid understanding of programming languages such as Python, Java, or C++ is essential. Familiarity with data structures, such as arrays, linked lists, and trees, is also important, as they are often used in algorithm design. Problem-solving skills and analytical thinking will help you approach challenges creatively and efficiently.‎
There are many excellent online courses available for learning algorithms. For a comprehensive understanding, consider the Data Structures and Algorithms Specialization or the Algorithms Specialization. These programs cover foundational concepts and practical applications, making them suitable for learners at various levels.‎
Yes. You can start learning algorithms on Coursera for free in two ways:
If you want to keep learning, earn a certificate in algorithms, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎
To learn algorithms, start by selecting a course that matches your current skill level. Engage with the course materials, complete exercises, and practice coding challenges. Utilize online resources, such as coding platforms, to reinforce your learning. Collaborating with peers or joining study groups can also enhance your understanding and provide support.‎
Typical topics covered in algorithms courses include sorting and searching algorithms, graph algorithms, dynamic programming, and algorithm complexity analysis. Additionally, courses may explore advanced topics such as machine learning algorithms and optimization techniques, providing a well-rounded understanding of how algorithms function in various contexts.‎
For training and upskilling employees, courses like the Data Structures and Algorithms Specialization and the Algorithms Specialization are highly recommended. These programs provide a structured approach to learning algorithms, making them suitable for workforce development and enhancing team capabilities in problem-solving and software development.‎