List of Online Courses and Certifications

The Image Signal Processing certification course delves into both basic and advanced concepts in image processing. Participants will explore topics such as image formation, geometric transformations, unitary image transforms, and advanced techniques like image restoration and 3D shape recovery. This course equips learners with valuable skills sought after by leading companies worldwide.

With a focus on real-world applications, including those in Google and Amazon, learners gain practical insights into the field's nuances and challenges. With the Image Signal Processing certification by NPTEL, students develop a solid foundation in digital image processing, preparing them for diverse career opportunities in industries at the forefront of technological innovation.

Modeling Stochastic Phenomena for Engineering Applications: Part-1 is a 12-week certification course by the IIT Bombay. This course provides students with a comprehensive understanding of techniques for modelling stochastic phenomena in engineering systems. Students are provided with both practical as well as theoretical concepts in the course.

The Modeling Stochastic Phenomena for Engineering Applications: Part 1 certification by NPTEL will teach students the skill and knowledge of modeling techniques used in engineering design, decision-making, and another process. The course with its practical understanding makes engineers flourish in the professional working space.

Also Read: Online Software Engineering Certification Courses

The Games and Information Certification course is a 12-week certification course that provides students with a comprehensive exploration of the intersection between game theory and information theory. Students delve into the fundamental principles of game theory, examining strategic decision-making in competitive scenarios Games and Information through the Games and Information certification course by NPTEL.

The Games and Information training delves into information theory, investigating how the flow of information shapes decision-making processes within games and broader contexts. The online course analyses concepts such as signalling, information asymmetry, and more to understand how information influences strategic behaviour and makes students proficient in the evolving world of gaming

Also Read: Online Gaming Certification Courses

The Commutative Algebra Certification course is a 12-week online programme that provides students with a comprehensive exploration of the foundational principles and advanced topics within the field of abstract algebra. Students delve into the fundamental theorems of algebra through the Commutative Algebra Certification by NPTEL.

The online course develops proficiency among students in manipulating algebraic structures, proving theorems, and solving problems related to commutative rings and modules. The Commutative Algebra certification training strengthens the analytical skills necessary to tackle complex problems in algebraic structures and their applications.

Also Read: Online Mathematics Certification Courses

The Introduction to Algebraic Topology (Part-II) Certification course is a 12-week online programme that delves deeper into the fundamental concepts and techniques of algebraic topology. Students are offered a comprehensive exploration of algebraic structures and topological spaces, focusing on their interplay and applications through the Introduction to Algebraic Topology (Part-II) Certification by NPTEL.

The Introduction to Algebraic Topology (Part-II) training provides a combination of lectures and problem-solving sessions. They will gain a comprehensive understanding of these abstract mathematical structures and their applications in various branches of mathematics. Thus, they will be able to apply them to solve complex problems and contribute to ongoing research in the field. 

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The Partial Differential Equations Certification course is a 12-week online programme that offers a comprehensive exploration of differential equations. Students are provided with a deep understanding of their mathematical foundations and practical significance across various fields through the Partial Differential Equations Certification by NPTEL.

The online course equips students with the analytical and computational tools necessary to tackle real-world problems, providing invaluable skills applicable to research. The Partial Differential Equations certification training empowers them to confidently navigate the complex landscape of partial differential equations and unlock new opportunities for innovation and discovery.

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The Numerical Analysis Certification course is a 12-week online programme that offers a comprehensive exploration of fundamental numerical methods and techniques essential for solving complex mathematical problems. Students are provided with the theoretical foundations and practical applications of numerical algorithms through the Numerical Analysis Certification by NPTEL.

The Numerical Analysis training equips students with the skills necessary to effectively analyse and solve real-world problems using numerical methods. The course masters the art of numerical computation and analysis. They will gain proficiency in implementing numerical algorithms using programming languages such as Python, MATLAB, or R.

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Theory of Groups for Physics Applications certification course is a 12-week online programme that provides students with the fundamentals of group theory's and its wide-ranging applications in physics. Students are provided with a gap between mathematical concepts and their practical utility in physics through the Theory of Groups for Physics Applications Certification by NPTEL.

Students develop a deep understanding of how group theory is related to various branches of physics. This course also harnesses the power of group theory to unlock new insights and solve complex problems through the Theory of Groups for Physics Applications certification training.

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Big Data Analytics is an online programme available on edX that falls under the subject of Computer Science. The programme is designed and administered by AdelaideX, which is the massive open online course (MOOC) platform of the University of Adelaide providing free online courses to students worldwide. 

The Big Data Analytics Certification is designed to train the participants on major tools and techniques to come up with important business information and make business decisions by storing, processing, and analysing large-scale data such as R and Apache Spark. By joining the Big Data Analytics Certification by AdelaideX offered by edX, the participants will develop the potential to creatively approach the major issues and challenges of data science. 

The Big Data Analytics Certification Syllabus will help the students build a detailed understanding of big data analytics, cloud-based big data analysis, predictive analytics, etc, and sharpen their programming and mathematical skills. There are two modes to take the self-paced programme; verified and audit-free modes. In the free mode, the learners will get only limited duration and in the verified track, they can get unlimited access and a certificate of completion. 

The artificial intelligence (AI) revolution is transforming our world, and the demand for skilled professionals who can harness AI's power is on the rise. Artificial Intelligence, provided by Carnegie Mellon University’s School of Computer Science along with Emeritus, is a 10-week long online certification course that provides a comprehensive overview of the theory and practice of AI, with a focus on modern computational techniques for representing task-relevant information and making intelligent decisions. The Artificial Intelligence certification by Carnegie Mellon University’s School of Computer Science covers a wide range of topics, including machine learning, natural language processing, computer vision, and robotics. 

With the help of Artificial Intelligence certification, you will gain practical experience by working on real-world projects, such as developing decision support systems for medical environments, recommender systems for ad targeting, and intelligent systems for autonomous work environments.

The skills learned in this course are applicable across a wide range of industries, including healthcare, finance, manufacturing, and transportation. By opting for the Artificial Intelligence certification course, you will be well-positioned to help organisations stay ahead of the technology curve and apply AI-powered solutions to real-world problems.

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• Online Artificial Intelligence Certification Courses
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Computer vision is a rapidly growing field with applications in a wide range of industries. The Computer Vision certification by Carnegie Mellon University's School of Computer Science is a 10-week long online certification course that provides a comprehensive introduction to the theory and algorithms used in computer vision systems. Emeritus along with CMU is providing this course. Computer Vision covers a wide range of topics, including image detection, recognition and processing, 3D reasoning, and video analysis. It also provides insights into the real-world uses of computer vision technology.

The Computer Vision certification is ideal for technology professionals who want to learn more about computer vision and how it can be used in their work. It is also a good fit for machine learning engineers who want to gain hands-on experience with computer vision tools and techniques. 

The Computer Vision certification course requires knowledge of multivariable calculus, linear algebra, probability, and statistics, as well as Python programming. This course is taught by leading experts in the field of computer vision. Additionally, the course includes a capstone project that allows students to apply their skills to real-world problems.

Deep learning is a powerful technology that is being used to solve problems in many different areas. Deep Learning is a 10-week-long online certification course which is brought to you by Carnegie Mellon University’s School of Computer Science Executive and Professional Education along with the online education provider Emeritus. This online course will teach you the basics of deep learning and how to apply it to real-world problems. With the help of this course, you will be able to understand how neural networks operate, identify the right architecture for your needs, and generate and refine deep learning models.

The Deep Learning certification by Carnegie Mellon University’s School of Computer Science will teach you the basics of deep learning and how to apply it to real-world problems. You will learn about different neural network architectures, including CNNs and RNNs. You will also learn about the concepts necessary to solve time-based problems.

Also Read: Online Deep Learning with Python Certification Courses

The Analysis of Algorithms online course familiarises students with calculating the computational complexity of algorithms. The training also covers function generation, recurrences, telescoping, and more concepts related to the scientific study of algorithm performance. Candidates learn about real asymptotics, symbolic methods, and basic structures like words, permutations, strings, trees, and mappings, through the programme.

The Coursera Analysis of Algorithms programme is 100% online and free course. It consists of pre-recorded video lectures, pop quizzes, readings, assignments, and practical exercises across a nine-week curriculum. Robert Sedgewick, who is currently the William O. Baker Professor of Computer Science at Princeton, will be your instructor. 

The Online Analysis of Algorithms training course is an advanced-level programme offered in collaboration with Princeton University. Candidates will need approximately 20 hours to finish this course. Besides, you will get English subtitles for the video lectures and flexible deadlines to learn at ease. Since this is free training; candidates will not receive a certification.

Deep Learning and Reinforcement Learning Certification by Coursera introduces its learners to two of the most sought-after avenues in Machine Learning-Reinforcement Learning and Deep Learning. The latter is abundantly used to power most of the AI applications that are used on a daily basis. Deep Learning and Reinforcement Learning Certification Syllabus exhaustively cover the theory of neural networks that form the basis of Deep Learning as well as modern architectures concerned with Deep Learning. 

As an intermediate-level course, it serves as the perfect second step for aspiring data scientists interested in getting hands-on experience with both the domains in Machine Learning to learn at their own pace and earn a certification. Delivered by IBM professionals, the course will focus on Reinforcement Learning once learners have developed a few Deep Learning models. Although Reinforcement Learning has only a few practical applications at present, it is coming up as a promising area of research in AI that is expected to become relevant in the coming future. At the end of the course, data scientists will find them to be well acquainted with the learnings provided in the course. They can easily implement them in their workforce and deliver timely solutions.

Business Intelligence using Power BI online certification is designed by Board Infinity, an online educational platform for job seekers and students that would assist them in setting realistic objectives and achieving their full potential. The Business Intelligence using Power BI online course by Board Infinity focuses on teaching the fundamentals of Microsoft Power BI and discusses the principles and strategies used to graphically analyze data.

Business Intelligence using Power BI online classes includes more than 20 hours of extensive video-based learning resources, which seek to explore a variety of Power BI functionalities such as Power BI visuals and Power Query for various business intelligence operations. This course also covers data visualization, data modeling, data analysis, and data analysis expressions (DAX), among other data science topics. By the end of this course, learners will have learned the fundamentals of dashboards and will be able to design several dashboards.

The Accounting Data Analytics with Python Programme by Coursera has been developed for the candidates who are looking to build proficiency in the Python language, especially for business intelligence and analytics. Provided in partnership with the University of Illinois, the programme aims to utilize Python’s robust computational capabilities and libraries. It focuses heavily on working with multiple domains of accounting data, be it EDGAR financial statement data, stock data, or point-of-sale data.  

The Coursera Accounting Data Analytics with Python Training covers fundamental Python programming skills like functions, conditional statements, loops, and mathematical operators. Moreover, since the course is a part of UIUC’s Master of Business Administration Degree, a greater emphasis is placed on data visualization and presentation. Furthermore, certification training also covers data structuring and manipulation, along with Python and SQL integration.

Lastly, the Accounting Data Analytics with Python Training Course is a 100 percent online learning experience that allows you to learn and train at your convenience. Along with the video lectures, you will have a collection of reading material carefully curated by Coursera at your disposal. Upon course completion, you will receive an industry revered Coursera Certificate.

If you love numbers, are curious to learn to code, and possess strong communication skills, then a career as a data analyst is for you! Since the world is increasingly becoming data-driven and data is useless without the skill to analyse it, the demand for data analysts is soaring. 

Ironhack’s Data Analytics course covers all core concepts of data analytics within a span of 9 weeks if pursued full-time and 24 weeks if pursued part-time. Conducted by industry-best instructors, this in-person training programme can help you start a career as a data analyst even if you do not have previous IT experience. 

The Data Analytics course syllabus is divided into 3 Modules + 60 hours of online learning material as pre-work that will help you become familiar with the course content. The course will be taken in four languages, and at the end of the course, your final project will determine whether you qualify for an interview in the Hiring Week. 

The Introduction to Data Analytics certification course is an 8-week duration programme. The prerequisite for this course is students must be familiar with high-school-level linear algebra, and calculus. They must also know probability theory, statistics, and programming. The certification course offers an extensive curriculum that covers descriptive statistics, inferential statistics, regression, ANOVA, and machine learning.

The Introduction to Data Analytics certification by NPTEL provides an in-depth understanding of elements that will help in making the physical well-being and athletic prowess of individuals. The certification course helps students to get equipped with the required knowledge and skills to function effectively in the field. 

Also Read: Online Data Analysis Courses & Certifications

If you are an aspiring entrepreneur looking to make your first entrepreneurial venture a success or a business owner wanting to take your business to the next level, the Entrepreneurship Acceleration online course by Wharton is the perfect course for you. This programme aims to train you in a set of skills that will help you to materialise your idea and increase the likelihood of your success. 

Wharton, in association with Emeritus, has designed the Entrepreneurship Acceleration Programme: Scaling Your Business course, offering flexible learning options so that the candidates can balance it with work conveniently. Moreover, the classes are conducted online while the tutorials and live discussions are recorded so that you can cover them at your pace. 

The Entrepreneurship Acceleration online programme is a two-month course, rife with video tutorials, application-based learning through real-world examples, peer learning sessions and quizzes and assignments. 

Besides, the course is taught by reputed faculty like David Hsu, Karl Ulrich, Lori Rosenkopf, Kartik Hosanagar and Ethan Mollick. After you complete the programme, you will also be eligible to receive a digital certificate of completion.  

Machine Learning Engineer with Microsoft Azure online course is designed to deliver the knowledge of Azure Machine Learning over the cloud covering the use and benefits of Machine Learning in the cloud. The course teaches how to manage and choose computer resources to train Machine Learning models for quick and accurate predictive results.

The Machine Learning Engineer with Microsoft Azure syllabus explores training of Machine Learning Models in Azure including supervised model, unsupervised model and Reinforcement model. The program helps to learn using various types of tools in Microsoft Azure to train and deploy a machine learning model for pipeline automation. The nano degree course covers key concepts to analyze data and construct data sets suitable for machine learning.

The Machine Learning Engineer with Microsoft Azure nano degree program in collaboration with Microsoft focuses on Configuring cloud-based machine learning model with the help of Microsoft Azure services and tools, training a model on datasets using Automated Machine Learning and Analyzing the performance of the trained models. The Course covers in-depth knowledge of shipping machine learning models into production.

Structuring data and making it useful for solving problems and decision making vigorously is a big task in this enhanced technology. Therefore, for perfect decision making and solving problems and analysing data in a preformed manner nanodegree programme for Data Structures and Algorithms is made easy for candidates.

Technology has vast changes from day to day and managing technology with data is a problematic task. In any organization drawing decisions using algorithms for maximizing profits is also a challenging task. The better way of structuring data that is for a prompted for secured purposes is should be managed wisely from hacking he data by intruders. By the offering course of the Nanodegree programme Data structures and Algorithms is made easy.

The Nanodegree program of Data Structures and algorithms by Udacity academy is helpful for the candidates to evaluate the open-ended problem and appropriately make the decision of their choices. Each problem is properly defined by its algorithm and its structure with proper analysis. The academy of Udacity has many more professionals and industrial experts too who are involved in this project end to end.

Designed to make you a pro at Structured Query Language (SQL), the SQL Nanodegree Programme by Udacity offers an in-depth training which will help you in learning the execution of core SQL commands to access, manipulate, control, and join data and data tables. Introduction to the language also includes tutorials on how to optimise SQL queries, clean data, and write select advanced JOINs for enhancing analysis performance.

With a primary focus on providing an immersive learning experience, the SQL course nourishes your skills in leveraging the power of SQL commands and functions, data cleaning methodologies for joining, aggregating, and cleaning tables. Candidates will get an insight into how to perform analysis on data stored in the relational and non-relational database systems to boost strategic decision-making.

Choosing the SQL Nanodegree Programme will make you proficient in determination, creation and execution of SQL and NoSQL queries that might manipulate and dissect large scale datasets. You will also learn to apply relational database management techniques that normalize data schemes and build supporting data structures for social news aggregators.

The Big Data Analytics For Smart Grid certification course is an 8-week course that uses the concepts of Python programming language is an open-source software to demonstrate the use of Big Data Analytics in smart grid systems. The data in today’s world is influenced by the fast developments taking place in cloud computing and digital technology involving human activity, communications, sensors and digital equipment. 

The Big Data Analytics For Smart Grid training will involve case studies and begins with the introduction and importance of such analysis with data collection through intelligent devices, machine learning, deep learning, and its associated algorithms. 

The coursework is intended for both academic based attendees such as students, faculty and industry professionals. This course is supported and framed in collaboration with industries such as IBM and Opal-RT. This Big Data Analytics For Smart Grid programme aims to explore the issues arising in the processing and analysis of large volumes of data which is challenging to be done in a structured way. 

The Business Analytics & Text Mining Modeling Using Python online course is an 8 weeks program offered by Swayam, a government of India initiative. The goal of this course is to teach students how to utilize text mining techniques to extract data analytics in order to meet corporate goals. With easy-to-follow learning modules, the course explains how to develop, analyze, and compare various models based on actual datasets and scenarios using a Python-based software platform.

The Business Analytics & Text Mining Modeling Using Python training includes industry support from Consultancy and Analytics companies, Big Data companies, Companies with Analytics Division. The course is totally free but if candidates want to receive a certificate, they will have to appear in an examination which costs Rs. 1000. The Business Analytics & Text Mining Modeling Using Python syllabus covers a wide range of topics which includes text mining, data visualization, python, data mining, data science, excel, etc.

The Business Analytics for Decision-making online course is developed for the students to gain a detailed understanding of the statistical skills and analytical knowledge required for business management and development. The online program is provided by the Indian Institute of Management Kozhikode in association with the Eruditus Executive Education. The course is conducted for Eight weeks and the students are expected to spend four to five hours every week to complete the course. 

The course study is directed by Prof Anirban Ghatak of the department of economics at IIM Kozhikode and Prof Soumya Ray of the quantitive methods and operations management at IIM. The students are engaged with discussions and concepts of analytics and business strategies for data-driven decision-making. The eligible students of the ‘Business Analytics for Decision-making’ online training program are given the course certificate after completion of the course. 

The Digital Transformation in HR certification helps the participants learn all the technicalities of HR and its application. The course is guided by LSE faculty and enables candidates to pursue this programme with a self-paced learning method. Upon taking the course, students will learn about all the important tools to solve problems related to HRM. The candidates will be provided with assignments, projects, video lectures, and others to learn in the most comprehensive way. Through this eight-week course, the students will learn how an organisations’ digital transformation impacts employee experience, performance, and satisfaction.

Also Read: Human Resource Analytics Certification Courses

The Convex Optimization program will prove beneficial for students or professionals in electrical, mechanical, or civil engineering, computer science, scientific computing, Aero and Astro, operations research, and computational mathematics. This advanced-level course is excellent in learning how to solve application-oriented problems in the field of Convex Optimisation. 

The Convex Optimization by edX covers a wide range of topics including, convex analysis, convex sets, linear and quadratic problems, duality theory, minimax, interior-point methods, statistics and machine learning, finance, digital and analog circuits. The course will benefit candidates looking to pursue a career in computer applications or machine learning. 

The renowned Stanford University offers the eight-week Convex Optimization online course. There are video lectures in English and transcripts (also in English) to help you follow along. The course instructors, namely Stephen Boyd and Henryk Blasinski, are highly experienced in computer science, mathematical engineering, and other relevant disciplines. Several Ph.D. candidates will also mentor you as additional instructors.

The Data Science for Business Leaders course by Udacity imparts knowledge to the candidates in various techniques and technologies in data sciences field that would help them to improve their decision-making skills in a technical or IT environment. Data Science for Business Leaders training starts by providing an introduction to Data Science and talks about human capital in data science and business cases in Data science. Concepts in Machine learning are also taught in brief.

This Data Science for Business Leaders syllabus covers concepts like area, types of model, approach, and strategies that involve launching data science projects. Project works are provided and the candidate has to figure the cost, complexity, risk, likelihood and importance of that project. Participants would be able to identify the strengths and weaknesses of business data by taking Data Science for Business Leaders classes . 

The management strategies that are involved in the successful completion of a project are also discussed. Data Science for Business Leaders certification will help the candidate to know about data scientists and what is possible through data science.

Measurable deduction and displaying are vital for investigating information influenced by some coincidence, and hence basic for information researchers. In the Data Science: Inference and Modeling certification course, you will become familiar with these vital ideas through a spurring contextual investigation on political decision gauging. 

Data Science: Inference and Modeling certification course will show how derivation and demonstrating can be applied to build up the factual methodologies that make surveys a powerful apparatus and we'll tell you the best way to do this utilizing R. Students will learn ideas important to characterize evaluations and edges of mistakes and figure out how you can use these to make expectations moderately well and give a gauge of the exactness of your estimate. 

When candidates gain proficiency with this, they will have the option to comprehend two ideas that are universal in information science: certainty stretches, and p-values. At that point, to comprehend articulations about the likelihood of an up-and-comer winning, candidates will find out about Bayesian demonstrating. At long last, toward finishing the Data Science: Inference and Modeling training, Harvard University will assemble everything to reproduce a disentangled adaptation of a political race conjecture display and apply it to the 2016 political race. 

The course is self-paced but the candidates need to select anyone from the audit or the verified track. There are two basic differences between the two tracks. In the audit track, the candidates get only a limited period of access to the course materials without having to pay any money. Again on the other hand the candidates who choose the verified track get unlimited access for viewing and learning the course materials.

The Principles, Statistical and Computational Tools for Reproducible Data Science course has been meticulously created keeping in mind the wide usage and huge importance of reproducible research across various disciplines. The Principles, Statistical and Computational Tools for Reproducible Data Science certification thoroughly covers all the fundamentals of reproducible science in a very lucid manner and adds on to various useful computational tools, thus appealing to a very wider audience in various fields like data science, bioinformatics, biostatistics, computational biology etc. 

The 8-week self-paced Principles, Statistical and Computational Tools for Reproducible Data Science classes are the perfect blend of video lectures, case-based studies and computational tools and can act as an asset to the knowledge of reproducible science of the candidates. Various intricate nuances such as data provenance have also been thoroughly explained in the course material. The best practices prevalent in pattern designing are also shared with the candidates. The Principles, Statistical, and Computational Tools for Reproducible Data Science online course encourages the candidates for peer-to-peer engagement for a great network and also acts as a place for intellectual and intense discussions on the topic.

There are two pathways in which enrolling in this course of edX is possible. One is the verified track, and the other is the audit mode. During the audit mode, the candidates shall have limited time access to the course, but access becomes unlimited during the verified track.