List of Online Courses and Certifications

The Introduction to TensorFlow certification course is thoroughly an online programme that is available for free for a specific period of time. The main focus of the programme is to make students aware of the Tensor flow. The training will revolve around the topics of datasets, designing and building of Tensorflow, and other features of the programme, etc. The course will take up to nineteen to twenty hours of learning.

The Introduction to TensorFlow online course is created for the students who want to learn from the course at their own pace so that they can take as much time as required to completely understand every topic. There are no last dates for the programme and it has no limitations with regards to attendance percentage or timings of attending the sessions.

The course provides an intermediate level of learning and requires no academic qualifications to get admitted into the course. Students also get an opportunity to become a certified user of the course and obtain a verified certificate when the Introduction to TensorFlow certification syllabus is completed by the participant. The language of the programme is set for English, however, participants who have a language barrier can use the subtitles that are available in Russian, Spanish, Portuguese (European), English, and French languages.

Machine Learning in Business certification is basically a 6 weeks small course designed by  MIT Sloan School of Management and the MIT Computer Science and Artificial 

Intelligence Laboratory (CSAIL)along with its content partner being GetSmarter. With this programme, candidates can learn about how machine learning can be capitalized on by businesses.

The Machine Learning in Business certification syllabus is divided into 6 weeks which is taught online, and it will help in answering questions related to machine learning which is a branch of Artificial Intelligence. Basically here the programming of Computer Science will be used to improve data performance in businesses.

Machine Learning in Business training is an online executive programme that is guided by the MIT faculty to help the participants understand the foundational level capabilities of Machine Learning along with its advantages and limitations so that its’ potential can be unlocked within businesses. This certification course will give an opportunity for designing a roadmap towards the integration of business needs with machine learning successfully.

According to a Hackernoon report, 74% of decision-makers, corporate owners and IT executives believe machine learning has the ability to transform their work and sector. Companies that use machine learning to enhance organizational performance and improve the decision-making process have clear benefits over those that do not. The Machine Learning online course aims to provide candidates with the knowledge and skills needed to comprehend the effect of machine learning and effectively articulate its integration.

It has never been simpler for businesses of all sizes to leverage the value of data. Introduction open-source and free Artificial intelligence and machine learning technologies. Embedding machine learning technologies into an organisation effectively necessitates a practical grasp of its concepts. The Machine Learning training teaches about the various types of modelling concepts used in machine learning. The Machine Learning syllabus focuses on determining the models, methodologies, and ethical implications of machine learning techniques, as well as presenting an economic case for using them in the firm.

The Online Programme on Big Data and AI Techniques by FORE School of Management aims to explore Big Data Analytics techniques and enable learners to apply it in their research work or teaching. The programme focuses more on practice than theory, and as such, learners will have to undertake several practical assignments.

The Online Programme on Big Data and AI Techniques Training is 40 hours long and spread across six weeks. Therefore, learners will have to devote around six hours to the programme each week. Classes are live on weekdays between 2 PM and 5 PM. They can also indulge in real-time interactions with the course educators, clarifying all their doubts and queries.

For the practical exercises that are part of the Online Programme on Big Data and AI Techniques Certification Syllabus, learners need laptops with at least 4 GB RAM. The student and the teacher will work on their respective laptops and simultaneously solve each assignment. Even though it is an online programme, the learning experience is as if the teacher and the students are in a laboratory working together.

The Big Data for Reliability and Security program will be teaching the students the key practices and principles of big data for developing and improving the security and reliability of computing systems. The students will be learning about the big data technology that is at present changing the way of doing business and transactions. The Online Certification Course on Big Data for Reliability and Security by edX will deal with the various techniques that pertain to computer science. 

The curriculum includes - Flink, containers, spark streaming, apache-spark, Mesos, and apache. The techniques for solving various issues that currently exist in the computing world. The students will be provided with a set of challenging projects and assignments to solve. The Big Data for Reliability and Security training covers ways to analyze the data sheets that will be taught to the students. The participating candidates will be learning to formulate strategies and techniques. The various ways of presenting data will also be taught in the Big Data for Reliability and Security certification course. 

Two different tracks for enrolling and learning the course are available on edX which may be opted for by the students. Both the tracks are self-paced but some major differences may considered before rolling. During the verified track, the candidates will have to submit some fee to start accessing the course for an unlimited period. In the same way, if someone chooses the audit track, they will be able to learn the programme without any cost.

For candidates looking forward to making a successful career in the big data industry, this certificate course on Big Data Essentials: HDFS, MapReduce and Spark RDD is the best way to get started. This course gives you new tools and reading materials to direct you in the right direction. Technologies like MapReduce, HDFS and Spark are all covered in this certificate by Coursera. The 6 course is of 6 weeks and helps candidates learn the basics of technologies in the Big Data field. It guides you throughout the system internals as well as its applications in the real world.

Candidates can expect to learn about the distributed file system, the reason for their existence and their functions. This course will guide candidates to build a stronger understanding of the big data technology and concepts to better utilize them in their work. The programme focuses on developing skills in learners to learn and use these tools in creating a solution for social networks, finance, telecommunications and other fields.

The Big Data Essentials: HDFS, MapReduce and Spark RDD programme offer relevant assignments that impart practical knowledge and experience to solve the most pressing problems in the field of big data. It presents an opportunity to evaluate the assignments of candidates on a real cluster.

We are witnessing a phenomenal era, which is digitally powered with technologies flourishing exponentially. With the strong presence of Big Data, computer systems are now capable of deriving acute information and desired results through analysis of this structured and unstructured data, which ultimately forms the ‘big data’. It is also witnessed that such analysis of Big Data is highly relevant and informative for large organisations, businesses and professionals to optimize their performances.

Considered to be information assets, Big Data enables effective decision making, optimizing processes and cost effectiveness in large, medium as well as small organisations. However, to yield the benefits of this high volume, high velocity and high variety of big data, it becomes essential to analyse this big data using various tools and techniques. This is where the knowledge of using Hive, Spark SQL, DataFrames and GraphFrames comes very handy. Analysts engaged in big data analysis are highly in demand and using these tools, one can efficiently analyse the big data to facilitate important decision making and process optimisation in their employer organisations.

The Big Data Analysis: Hive, Spark SQL, DataFrames and GraphFrames online programme offered by Coursera will impart key skills to the participants in using big data analysis tools and pursue their careers in the area of big data analysis. 

Analyzing Big Data with SQL Certification by Coursera offers its learners an extensive analysis of the SQL SELECT statement and its main clauses. Candidates will have the opportunity to study big data SQL engines Apache Impala and Apache Hive. Additionally, their acquired learning can be implemented to SQL with traditional RDBMS as well. The experienced instructor from Cloudera comprehensively deals with the differences between MySQL and PostgreSQL.

This beginner-level, free-flowing course has been made for a wider audience who wish to learn about querying big data with modern distributed SQL engines. Now that traditional relational databases have become insufficient for large packets of data, the data cannot be stored in commercial data warehouses anymore. As a result, the concepts of distributed clusters and cloud storage have started to gain momentum. 

Learning about the cost-efficient and infinitely scalable data stores in Analyzing Big Data with SQL Certification Syllabus will expose them to newer concepts of the SQL engine. Course modules have holistically covered open-source SQL engines capable of querying enormous datasets. All in all, this course proves to be highly relevant for data analysts.

Jigsaw Academy’s Big Data Bootcamp programme is an immersive programme that is conducted both Weekday and Weekend. With end to end career support, in-person interactions and real-life project experiences, candidates will gain an in-depth understanding of the subject as a whole. An ideal opportunity for data scientists, it is the right time to enrol for this programme and learn about advanced technologies.

Since the subject covers a vast pool of information and cannot be completed in very less time, Jigsaw introduced this programme in a 12 week Bootcamp module. The module will help data scientists in strengthening the expertise and skills needed to master the area. Candidates willing to pursue this programme can easily do so by choosing either Weekday or Weekend schedule. The curriculum has been designed to impart valuable learning skills to the students. The course will help students to foster their technical skills and explore new verticals in the professional world. 

Swayam’s Predictive Analytics certification course is targeted at students and practitioners who wish to improve their knowledge in predictive analytics. Predictive Analytics is a popular competitive strategy across various business sectors, and it identifies high-performance companies. Its objective is to predict the probability of occurrence of future events which can lead to effective business management.

The Predictive Analytics training covers important topics such as regression models which can help the learners understand relationships among variables and how decisions are made by exploiting these relationships. Predictive analytics problems use various models such as logistic regression, decision trees, linear regression, and neural networks which are discussed in this course.  

Besides, the Predictive Analytics programme on the provider site of Swayam by the Indian Institute of Management, Bangalore, and NPTEL prepares candidates for careers in the field of data analytics. This course is a good fit if you are looking for the right competitive strategy for making companies successful. You can master predictive analytics tools and earn a certificate upon successful completion of this programme.

The availability of data allows corporate executives to make better judgments. The difficulty is that most business people do not have experience evaluating data from numerous sources. The Applied Business Analytics online course teaches to determine the algorithm to use and explores when to include human judgment in the decision-making process. The course teaches about some of the most practical uses for artificial intelligence.

Business analytics abilities are in great demand among companies and are required across a wide range of job roles. Indeed, from September 2016 to the current, job listings for this skill set have grown by 130%. From 2018 to 2028, the Bureau of Labor Statistics (BLS) forecasts 10.9% growth in business analytics capabilities, surpassing the national growth rate of 5.2% for all jobs. The Applied Business Analytics training helps candidates to grab the current and upcoming opportunities in the field.

Discover a practical methodology for using data to improve decision-making. The only prerequisites are basic arithmetic and statistics from high school. After completing the Applied Business Analytics syllabus, candidates will understand which analytics method is most suited to specific scenarios, as well as how to deal with massive data and utilize it for improved business outcomes.

Human-Computer Interaction has progressed dramatically over the years. Together with technological developments, HCI now has the ability to revolutionize human interactions with machines by providing easier, more efficient, and smarter digital services. The Human-Computer Interaction for User Experience Design online course contributes to a better understanding of the present status of computer interaction with users.

Eight MIT CSAIL specialists have committed their research activities to investigate the ways in which HCI may be improved, and they are making that knowledge available to candidates via Human-Computer Interaction for User Experience Design training so that candidates can implement it for enhanced user interface (UI) design and better user experience (UX).

Candidates will get a chance to explore the development of HCI by focusing on speech recognition, non-traditional interaction, and fast prototyping, among several other topics, directed by industry experts. The Human-Computer Interaction for User Experience Design syllabus covers real-world integration of technology targeted at improving UX and UI design and expanding knowledge beyond interfaces by incorporating long-run HCI into overall work.

The Course on Computer Concepts (CCC) certificate program offered by NIELIT is designed for professionals or aspirants willing to equip themselves with the use of computers in today’s life in both professional and personal ways. The course offers both theoretical and practical hands-on approaches to learning various topics on computers. Participants can learn to use both the operating system and software packages in one course. 

Also, this course exposes students to the fundamentals of financial literacy in order to understand various services offered by schemes in the government. 

This course spans for a duration of 6 weeks within an 80-hour syllabus framework. With a bilingual medium of instruction, the course can benefit many people and it is easily accessible online through the Digital India platform. Every day, the candidate has to spend a duration of 3 hours as a part of syllabus planning and at the end of the program, an online exam is conducted which acts as the final criteria for certification.

By taking up the Human-Computer Interaction I: Fundamentals & Design Principles course by edX the participants will be taking their first step towards being a researcher. All the fundamentals of how HCI is related to different fields will be covered in the course. The development encompasses diverse titles and subheadings which have been well-defined by the skilled tutors.

The candidates shall dive into the details of human-computer interaction where various terms shall be cleared out to them. These concepts will play a vital role as the Human-Computer Interaction I: Fundamentals & Design Principles training course moves ahead. The candidates will learn about the potential of humans and how n number of things can be accomplished.

At the end of the Human-Computer Interaction I: Fundamentals & Design Principles online course, the participant shall have an overview of all the topics. In case the candidate has verified the course, they shall be awarded with a certificate signed by the tutor. The certificate will help candidates do better in their professional lives. Edx has 2 tracks namely the audit track and the verified track which allows the students to finish off the course. In the audit track, the candidates will be getting limited but free access to the course materials. Again during the verified track, the candidates will get unlimited but paid access to the course materials.

The Human-Computer Interaction III: Ethics, Needfinding & Prototyping course offered by edX is a six-week long program that will require the candidate to devote 5 to 6 hours weekly effort to be able to successfully earn the certificate of completion. It is an introductory course that is self-paced to provide the utmost comfort to candidates so they can time it according to their convenience. 

The Human-Computer Interaction III: Ethics, Needfinding & Prototyping program has four sessions of different dates out which students can select the date on which they wish to start the online course. The core subject of the Human-Computer Interaction III: Ethics, Needfinding & Prototyping training is computer science which is taught by professors from the Georgia Institute of Technology. The Human-Computer Interaction III: Ethics, Needfinding & Prototyping by edX will take its candidates through lessons 14 to 18 of CS6750: Human-Computer Interaction taught in Georgia Tech Online Master of Science in Computer Science program. 

The Human-Computer Interaction III: Ethics, Needfinding & Prototyping program commences by giving candidates an introduction to the design life cycle through which they can create prototypes, investigate user needs, develop potential designs, etc. 

CS50’s Computer Science for Business Professionals course is a comprehensive 6-week course designed by Harvard University. It targets founders, managers, product managers, and decision-makers to give them CS50's introduction to computer science. This course introduces you to the art of programming and the intellectual enterprises of computer science. 

In the CS50’s Computer Science for Business Professionals course, you will learn how to solve problems efficiently and think algorithmically. CS50 itself takes a bottom-up approach by stressing the mastery of implementation details and low-level concepts. On the other hand, this course takes a top-down approach by focusing on the mastery of high-level concepts and design decisions. 

CS50’s Computer Science for Business Professionals training includes lectures on programming languages, internet technologies, computational thinking, technology stacks, and cloud computing. With this, you will learn how to make technological decisions even if you are not a technologist. You can also motivate yourself to complete the course and earn a verified certificate to display your advanced skillset. This self-paced programme is available for learners to take in the free or paid verticles. In the free verticle, you can audit the programme only for a limited duration. 

The CS50's Understanding Technology Certification Course is an introductory level course that focuses on the basic principles and working processes of computers. The course will discuss the fundamental concepts of computer science and allow learners to gain an in-depth knowledge of the topic.

The CS50's Understanding Technology Online Course is conducted in a self-paced manner where the learners could approach the course according to their preferences. The course is instructed by David J. Malan, Gordon McKay Professor of the Practice of Computer Science, Harvard University.

The CS50's Understanding Technology Training Course is taught through expert lectures highlighting the different aspects of programming and web development. The course will be of great help to students who are striving to expand their knowledge base in topics like computer networking and computer applications. The learners can pursue the self-paced programme for free and get a limited duration of access. Also, they can get the certificate by upgrading the subscription by paying the prescribed fee. 

The computer science 101 certification course by edX helps the aspirants sharpen their knowledge. Candidates can enrol themselves in the course and learn about the different terms used in the field of computer. Starting from the basics, about the devices to coding everything has been involved in the computer science training.

The computer science 101 training course would consist of assignments, discussion forums, quizzes and projects.  Participants will be provided with a platform to experiment with the knowledge they acquire. They can contact the tutor if they have any questions. Anyone who is able to use the web browser will be successful in completing the computer science training.

As the computer science 101 online course starts from the source, it teaches the candidates about hardware, software etc. The candidate does not need to have any knowledge before this course. Certification shall be provided at the end of the computer science 101 programme which can be shared on LinkedIn for getting better jobs, salary hikes, etc. The course is to be learned in a self-paced mode but has 2 separate tracks. In the audit mode, the candidates will only get limited period access to the course materials. Whereas, in the verified track, the candidates will be able to study the course for an unlimited period.

Used by over 90% of developers, Git is one of the most powerful and adaptable version control systems. In the Collaborative Coding with Git certification course the candidates will find ways to visualise and explore a project’s history via Git repositories. The candidates will enable them to quickly adapt to a new collaborative environment, especially if they are working with Git remotely.

The Collaborative Coding with Git certification by Futurelearn is in collaboration with the University of Manchester and the Institute of Coding. The course teaches you techniques such as maintaining high-quality code, code review to ensure safe code changes, maintaining consistent coding styles across large teams, etc. 

The Collaborative Coding with Git online course will teach students how to explore Git as a quality assurance tool, and learn how to use GIT to facilitate team learning, as well as enhance their workflows, collaboration, and code quality. The course is ideal for freshers/professionals interested in or working in software development.

Github is the provider of internet hosting for software developments. The cloud-based hosting service shall help the software developers to manage functions, and source code using Git. It was founded in 2008, and it is widely used by prominent organizations. Git on the other hand is a version control system, it lets the user manage and keep track of source code history. Many organizations have adopted the technology and are hiring professionals who have the skills of using and managing the technology. 

The Learn Git & GitHub course is provided by Internshala Training for the learners who wish to be a part of software development. This is a beginner-friendly, online course of 6 weeks duration and downloadable content. The learner can get their doubts resolved by experts and shall also get the project for practical training. After the completion of the course, the learners shall receive Learn Git & GitHub certification by Internshala. Besides this, the learner shall also get placement assistance and get their profile highlighted on Internshala. This can be the career-defining course for the learners who want to kick start their careers as software developers. 

The Azure Analysis Services online course is a short-term programme offered by IIT Kanpur. The course allows learners to understand the cloud's services and management techniques in the contemporary industry. With a skill-oriented approach, the training allows candidates to upskill.

The Azure Analysis Services training is completely online, and lets the candidate access and learn the course from any part of the world. The course is spread over six-weeks with a comprehensive curriculum covering every aspect of Azure services. The course extends multiple questions to the candidates for a sense of familiarity and hands-on practice of the subject.

IIT Kanpur's Azure Analysis Services online course takes the learners through various components of how the interaction takes place along with key terminology used in Azure services. The students get to work on an industry-based project that allows them to put their knowledge to practical use under the course. The students are rewarded with a certificate upon the successful completion of the course and passing the final exam.

The Introduction to Data Analytics for Managers course has been gaining popularity due to the heavy reliance on data by industries worldwide. Companies have been leveraging varied data sources such as big data to a large extent to maximize the company’s performance. The course curriculum also gives a run on the different facets of machine learning. 

The Introduction to Data Analytics for Managers certification program will carry a curriculum filled with various case studies. These will give hands-on learning about how different businesses use data analytics to their advantage. Through them, you will also understand the application of data analytics in a better way. 

The Introduction to Data Analytics for Managers online program by Edx is taught by two experienced faculties members, namely Amitabh Sinha and Sanjeev Kumar. The course is best for students who want to deep dive into the web-based graphical development environment. EdX presents this course in collaboration with the University of Michigan. There are two enrolment options for joining this programme, namely, paid and free. In the free option, the candidates can access the program only for a limited duration of time. 

The Applications of TinyML Online Course is an open online course that discusses the applications of TinyML language and its practical applications with regard to tiny or deeply embedded devices. The course is available on the HarvardX platform with the joint effort of edX and Harvard University.

The Applications of TinyML Training Course is taught over a period of 6 weeks with the help of online course materials and informative case studies. The practical-oriented course will provide students with valuable insights into one of the most accessible and fastest-growing areas of deep learning.

The Applications of TinyML Certification Syllabus is prepared in a way its beneficial for students trying to gain a professional certificate in machine learning. The course is instructed by Vijay Janapa Reddi, Professor at Harvard University, and Laurence Moroney, Lead AI Advocate at Google. EdX gives two varied modes to take the self-paced course; verified and audit mode. The verified mode requires a course fee and the candidates will get unlimited access. In the audit mode, they can access it for a limited duration. 

The leading with data and analytics course is offered by Chicago Booth, the University of Chicago, School of Business in collaboration with Execonline in online mode. The course will help learners to develop critical and creative skills to frame a big data analytics project and make effective decisions that effectively give results without sacrificing speed and accuracy.

The training programme for leading with data and analytics course will be conducted entirely online, with English as a medium of teaching. The duration of the course will be six weeks. To finish the course modules, students will need to devote 5 hours per week. The course will be instructed by Sanjog Misra, Jean- Pierre Dube, Guenter J. Hitsch, and Devin G. Pope, the University of Chicago, School of Business. The course fee is $4,500 - $5,700 (USD). Get more details here.

The beginner-level Process Data from Dirty to Clean online course will help the students develop the skills required to be a data analyst. It is an online programme and thus does not limit the students with any time restriction. Students across the countries can apply for this course. The programme deals with the topics such as tools used in data analysis, cleaning and checking data using the spreadsheet and SQL. 

The Process Data from Dirty to Clean certification course also helps the students gain information regarding data verification. The course is provided in association with Google. The programme is free for all the participants if they learn from it in the audit mode. Since it is a beginner level programme, it does not require any specific academic eligibility, except the basic understanding of mathematics. 

The Process Data from Dirty to Clean certification programme can be completed in 25 hours. However, it can be pursued weekly according to the requirements of the student. At the end of the course, after the successful completion of all lessons and assignments, students get a chance to enjoy the benefits of professional certification.

The Building Modern Nodejs Applications on AWS program is offered by edX in association with Amazon Web Services (AWS) which is one of the most used cloud platforms across the globe. The AWS offers courses that can either be audited free or candidates can pay a small amount and gain a verified certificate for the same. The program is stretched across 6 weeks with students required to give approximately 1 to 4 hours per week to finish it with ease. 

The Building Modern Nodejs Applications on AWS online course will teach candidates how to build a contemporary, greenfield serverless backend on AWS. In order to be able to develop new applications on AWS, students must be well versed with it in the first place, which will be made possible through the Building Modern Nodejs Applications on AWS course. Candidates will learn how they can develop an API driven application with the help of Amazon API Gateway to create serverless API hosting, Amazon Cognito and AWS Lambda. Initially, they will study what a mock API will look like, before developing it. 

Building Modern Nodejs Applications on AWS training will provide an in-depth study of the pros and cons of the Amazon API Gateway which will enlighten the students on more of its functions than just hosting an API. The candidates can learn at their own pace but with limited access if they have selected the audit mode. If the candidates have selected the verified track, they will receive unlimited access to the course materials.

The Developing Scalable Apps in Python course is designed as an advanced-level course for the students. Candidates can take up the course virtually through the website of Udacity. The programme has rich learning content, which is taught by industry professionals. The course is offered to all the participants at zero cost, and there are no extra or hidden charges for anything in the Developing Scalable Apps in Python online course. 

The platform works on a self-paced learning method, and students are free to access the course 24x7 without any restrictions. There are no limitations regarding minimum attendance percentage, and the course has flexible deadlines. Candidates will be able to complete the Developing Scalable Apps in Python syllabus in approximately six weeks. Candidates will acquire the learnings from the course through interactive quiz sessions and various exercises.