1660 Courses and Certifications

Coursera Courses & Certifications 2025

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Certificate

International Water Law

Intermediate
Free
Certificate

American Contract Law I

Beginner
Free
Certificate

American Contract Law II

Beginner
Free
Introduction to High Throughput Materials Development

Offered by

Math Prep College and Work Ready

Offered by

Certificate

Math Prep: College & Work Ready

Beginner
Free
Advanced Data Science Capstone

Offered by

Certificate

Advanced Data Science Capstone

The Advanced Data Science Capstone certification course is specialized in the field of data science presented by IBM, the course is structured into week dynamics and the syllabus is in accordance with that only. This course will provide an immense Advanced Data Science Capstone training that will be focused on a deep understanding of the huge processing of data, exploration, and data visualization. 

Basically, the course is structurally based on deep learning and machine learning that will help them to be more effective and efficient in solving real-world problems and situations. Candidates need to pass the last assessment that is the project work in order to attain Advanced Data Science Capstone certification by the end of the completion of the course. Candidates can get constant feedback along with every module which can help them to make their fundamentals and basics stronger. 

The Advanced Data Science Capstone online course will assist the applicant in learning and demonstrating an understanding of the characteristics of various algorithms, systems, and technologies, as well as how they affect model efficiency and scalability, which are needed in the data science area. Candidates can apply for the course via an online platform and can submit the assessments via the same model only. 

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Expert
4,086
Skills Covered:
Data science knowledge
Introduction to Software Programming and Databases

Offered by

Introduction to Devops

Offered by

Certificate

Introduction to Devops

Beginner
4,117
Certificate

Concurrent Programming in Java

The course- Concurrent Programming in Java is the part of the Concurrent, Parallel, and Distributed Programming in Java Specialization. The course is offered by Rice University which is ranked among top 100 universities across the world and top 20 universities in the United States of America. The course is for students and professionals who intend an in-depth study of programming in Java.

The programme teaches all the fundamental concepts of concurrent programming in Java 8. The knowledge of concurrent programming assists developers to mediate the parallel programs using shared resources more efficiently. Towards the end of the course, the participants will use basic concurrency constructs like locks, threads, atomic variables, actors, isolation critical sections, concurrent collections, critical sections. Also, the theoretical foundation concepts like deadlock, progress guarantees, linearizability, and starvation will be taught in the course. The knowledge of theoretical foundations of concurrency will empower the participant to be meticulous and avoid subtle and common errors in programming.

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Intermediate
3,369
Skills Covered:
Java
Data Analytics for Lean Six Sigma

Offered by

Certificate

Data Analytics for Lean Six Sigma

Beginner
Free
Data Analyst Career Guide and Interview Preparation

Offered by

Certificate

Engineering Project Management: Initiating and Planning

Enrolling in the Engineering Project Management: Initiating and Planning help the students to upgrade their knowledge and understanding of project management in general and planning and initiating in particular. Engineering Project Management: Initiating and Planning Certification Syllabus, administered by Rice University, aims at providing the learners with the techniques and tools required for initiating a project plan, team organization, and creating a business case for a project. 

Offered by Coursera, Engineering Project Management: Initiating and Planning Certification Course include graded assignments, readings, and projects like organization charts preparation, making a Stakeholder Register and coming up with a Project Charter, etc. Engineering Project Management: Initiating and Planning Certification by Coursera is a beginner-level programme and is the first of the three courses in the Engineering Project Management Specialization. 

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Beginner
1,699
Skills Covered:
Project management
Certificate

Construction Project Management

Construction Project Management is an online certification programme administered by Columbia University to expose learners to the construction industry, especially the Project Initiation and Planning with the industry expert and Columbia University professor  Ibrahim Odeh. Construction Project Management Certification Syllabus will enable the learners to get a clear overview of the basic concepts of the Project Development Cycle, Lean Project Delivery method, and Lean Design Behaviours. 

Administered by Coursera, Construction Project Management Certification Course will provide the candidates with the opportunity to learn Building Information Modeling and the significance of project planning and scheduling, etc. Construction Project Management Certification by Coursera is a beginner-level course that is structured flexibly in which the students can learn at their own pace and decide deadlines based on the schedule. 

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Beginner
1,699
Skills Covered:
Project management
Electric Utilities Fundamentals and Future

Offered by

Certificate

Electric Utilities Fundamentals and Future

Beginner
Free
Probabilistic Graphical Models 1 Representation

Offered by

Certificate

Probabilistic Graphical Models 1: Representation

The Probabilistic Graphical Models 1: Representation course by Coursera is a part of the Probabilistic Graphical Models Specialization on the Coursera platform. Stanford University offers a certification course in association with Coursera.

The Probabilistic Graphical Models 1: Representation online course has a curriculum spread out over five weeks. The certification course will help you develop a deep understanding of the PGM framework by communicating perplex material with skill. Moreover, the online course primarily covers the fundamentals of Bayesian networks and Markov networks. 

Furthermore, the Probabilistic Graphical Models 1: Representation certification course promotes interaction and improvement with a comprehensive curriculum, intermittent assignments, and discussion boards. Candidates can self-assess using these mediums and grasp the course contents at their own pace. 

Finally, Coursera provides a certificate upon successful completion of the  Probabilistic Graphical Models 1: Representation course. The certificate can be added to the resume or shared on LinkedIn and other professional websites. Learners can also take a print out of the certificate.

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Expert
5,029
Skills Covered:
Machine learning
Certificate

The Art of Vocal Production

Beginner
Free
Certificate

Motion Planning for Self-Driving Cars

The course Motion Planning for Self-Driving Cars is the final course among four courses in Self-driving cars specialisation offered by the University of Toronto. The level of the course is advanced and is designed for the learners having a background of robotics and knowledge of controllers and models taught in course 1 of the specialisation.

In the course, the participant will be introduced to major planning related tasks in an autonomous mode of driving along with various other types of planning like behaviour planning, local planning, and mission planning. At the end of the programme, the participant will be able to find the shortest and direct path over a road network or a graph by making the use of A* algorithm and Dijkstra’s. They will be using machines in the finite state for selection of smooth paths, optimal designs, and identification of velocity profiles required for the navigation around the obstacles with safety and in accordance to the traffic rules. The participants will also get a chance to develop occupancy grid maps for the static objects prevailing in the environment and use them to check efficient collision.

The course will provide the opportunity to develop a complete self-driving planning solution that will provide a contemporary driving experience as well as safety while taking an individual from home to work. As a part of the final project, the candidate will be implementing the planner of hierarchical motion by navigating through the sequence of scenarios in the CARLA simulator, safe navigation during intersection, and avoiding the already parked vehicles in the lane.

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Expert
13,514
Skills Covered:
Robotic skills
Certificate

Biomedical Visualisation

Intermediate
Free

Offered by

Swiss Federal Institute of Technology Lausanne via Coursera
Certificate

Introduction to Faecal Sludge Management

Intermediate
Free
Certificate

Getting Started With TensorFlow 2

The Imperial College of London offers the Getting Started With TensorFlow 2 online course in conjunction with Coursera. Achieving certification in courses offered by this esteemed institution gives you an inclusive educational experience and superior digital technology. 

The Getting Started With TensorFlow 2 certification course has modules spread out over five weeks, which candidates can complete in approximately 26 hours. Dr Kevin Webster, a Senior Teaching Fellow in Statistics at the Imperial College London, instructs the certification course. 

An intermediate-level course, the Getting Started With TensorFlow 2 training will teach you the fundamentals concepts of TensorFlow. You will become fully adept in developing deep learning models and using them to evaluate, train, and make predictions. 

Furthermore, the Getting Started With TensorFlow 2 certification course promotes interaction and improvement of one’s core abilities with a comprehensive curriculum and intermittent assignments. You can self-assess through these mediums and grasp the course contents at your own pace. Finally, Coursera awards you with a certificate upon successful completion. 

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Intermediate
3,369
Skills Covered:
Machine learning Knowledge of deep learning
Fundamentals of Reinforcement Learning

Offered by

University of Alberta, Edmonton , Alberta Machine Intelligence Institute via Coursera
Certificate

Fundamentals of Reinforcement Learning

The course Fundamentals of Reinforcement Learning certification course is offered by Coursera by collaboration with the University of Alberta to make the aspirants skilful with machine learning and applications of Artificial Intelligence. The course is free to enrol and can access all the course materials free of cost. Therefore aspirants can use the opportunity for growing their career with a course completion certificate and increase the chances of hiring.

With the digital connection over the world, Business Intelligence over decision making is made essential in organizations. Decision making increases the prosperity of the business. Therefore the use of decision making with Artificial Intelligence and machine learning became most popular when the programme comes into existence. Organizations are looking forward to candidates who are skilled in this type of Artificial Intelligence, Robotics, Machine learning and, the Internet of things (IoT) as well

Coursera is the digital platform to learn the concepts that are offered for free. Candidates can learn throughout their lifetime and can avail of certificates after completion of the Fundamentals of Reinforcement Learning Training course. 

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Intermediate
13,514
Skills Covered:
Decision making skills Machine learning Knowledge of Artificial Intelligence
Supervised Machine Learning Classification

Offered by

Certificate

Supervised Machine Learning: Classification

A part of the multiple series programme, the online session on Supervised Machine Learning: Classification by Coursera provides the students with a detailed emphasis on the main types of modelling that are involved with the genre of machine learning. The students will learn elaborately to train the predictive models that are involved and used across various domains. The Supervised Machine Learning: Classification certification syllabus will be covered on the online platform by the students over a time frame of 24 hours. The course will train the students professionally in the domain of machine learning.

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Intermediate
3,384
Skills Covered:
Machine learning
Practical Machine Learning

Offered by

Certificate

Practical Machine Learning

Practical Machine Learning, available on Coursera, is administered by Johns Hopkins University to expose the students to the realm of machine learning along with a thorough practical training with the help of numerous practical applications. Practical Machine Learning Certification Syllabus developed by industry experts and experienced professors will walk the students through concepts of sets, overfitting, regression, classification trees, Naive Bayes, random forests, and error rates. 

Practical Machine Learning Certification Course, provided by Coursera, will shed light on numerous topics related to machine learning including algorithms, evaluation, data collection, and feature creation. Practical Machine Learning Certification by Coursera prepared by Jeff Leek, Ph.D., Roger D. Peng, Ph.D., and Brian Caffo, Ph.D. with an emphasis on facilitating the learners to practice the application of machine learning. 

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1,699
Skills Covered:
Machine learning

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