Free It Software Courses & Certifications

Eigenvalues are a unique set of scalar values connected to a system of linear equations that are most likely seen in matrix equations. The characteristic components are another name for the eigenvectors. After applying linear transformations, it is a non-zero vector that can only be altered by its scalar factor. Eigenvectors and Eigenvalues online certification was developed by Ortal Arel, a certified instructor, and is made available through Udacity.

Eigenvectors and Eigenvalues online course highlights the essential technical abilities that employers seek in their employees and is geared at individuals who want to learn how technology is changing industries. Eigenvectors and Eigenvalues online training covers topics like linear transformation, characteristic equations, matrices, and principal component analysis in addition to teaching people how to compute the eigenvalue and eigenvector and explaining how they are useful and interesting when used in machine learning applications.

The UX Design for Mobile Developers certification programme can be found on the platform Udacity through its website. The programme can be accessed free of cost. The online course is a beginner level programme that can help the students learn about how to make apps and different designing techniques. It will require a period of 6 weeks to complete the entire UX Design for Mobile Developers certification syllabus by the students. The programme is mentored by a total of three industry experts. 

The UX Design for Mobile Developers certification course is self-paced training that ensures that students do not study under the pressure of deadlines. The course also grants certification at the end of the programme. Students get to learn from the interactive sessions through quizzes. There are no prerequisites that are required for admission into the UX Design for Mobile Developers programme. Students are free to take up the course and learn from the same at the comfort of their own choices.

Artificial Intelligence provides students with a platform to learn from AI experts like Sebastian Thrun, Peter Norvig, and others. The course over the period of four months will comprehensively cover the various applications and uses of AI. The online course on Artificial Intelligence by Udacity has been designed by industry experts. The students will be covering the important chapters of  Bayes Nets, Probability, Logic and planning, Constraint Satisfaction, Basics of search, Game playing, and others. The Artificial Intelligence training will comprehensively cover all the details of AI. Practice sessions for the students will be provided. Instructor videos will be made available to the students. The students can learn easily by doing the exercises. The course will be conducted by experts and professionals from the industry. Thus, the Artificial Intelligence course has been designed comprehensively for the students.

Artificial Intelligence (AI) as a domain boasts of long and rich history, a rapidly transforming present, and an actively evolving future. With the Intro to Artificial Intelligence course by Udacity, you will dive deep into the fundamentals of modern AI. Here, you will also explore the representative applications of AI. The instructors use interactive quizzes, rich learning content, exercises, etc., to teach you.

Besides, the Intro to Artificial Intelligence training aims to excite you about the enormous amounts of possibilities and applications available in the field of AI. You will also witness how AI is continuing to broaden the horizons of human capability beyond the imagination of humankind.

This Intro to Artificial Intelligence course is an intermediate-level study. It requires you have substantial probability theory and linear algebra understanding since the training builds upon the same.

Moreover, the Intro to Artificial Intelligence course syllabus comprehensively covers probability uncertainty, statistics, Bayes networks, logic, machine learning, planning. The curriculum also focuses on computer vision and image processing, robot motion planning, robotics, Natural Language Processing (NLP), and more.

With the need for accessing personal data increasing, it is essential for you to excel in protecting user privacy. While there are umpteen privacy use cases unsolved, in recent years, privacy-preserving technologies have developed. The Secure and Private AI certification course introduces you to three groundbreaking privacy-preserving technologies, including differential privacy, federated learning, and encrypted computation.

You will also master the usage of OpenMined's PySyft and deep learning tools such as PyTorch. These offer distributed and cryptographic technologies for safely training Artificial Intelligence (AI) based models on distributed private data. You can also participate in Facebook’s Secure and Private AI Scholarship Challenge. It will help you enrol in the Secure and Private AI training and win the Deep Learning or Computer Vision Nanodegree programme scholarship.

Secure and Private AI programme from Facebook is an advanced-level free course. It runs for nearly two months and provides rich learning content, interactive quizzes, a self-paced learning approach, and industry professionals’ mentorship. Besides, you will learn by doing exercises.  

The Data Wrangling with MongoDB online course is a part of the Data Analyst Nanodegree, offered by MongoDB, in association with Udacity. It will teach you about data wrangling from diverse sources and how to shape it to facilitate data-centred applications. You will also learn how to extract and gather data from popular data formats.

The Data Wrangling with MongoDB certification syllabus includes the fundamentals of data extraction, assessing data quality, and data cleaning’s best practices.  The curriculum has seven broad lessons that are further divided into different modules. What’s more, instructors will familiarise you with MongoDB, data storing essentials, MongoDB’s query language, and its aggregation framework.

The Data Wrangling with MongoDB training by Udacity is a self-paced intermediate course that consists of multiple learning aids. These include instructional videos, practice exercises and quizzes. This is an excellent course if you want to apply for entry-level data science positions or are a working professional.

The Graphs and Data Science online course is developed by the education provider platform INSOFE. The course study is about the basic algorithms and computational problems in data science and is scheduled as ten sessions lecture series throughout the programme. The course educator for the graphs and data science online training is Ashwin Ganesan who is a professor at the International School of Engineering(INSOFE), Mumbai. The course instruction allows the students to discover the aspects of coding, mathematics, and data mining in detail.

In this online programme, the learners will be able to explore the domain of computational thinking and data science. The candidates are taught to arrive at solutions using the tools and techniques of computer science and computational strategies. The lectures and three modules provide experiential learning for the students to gain an in-depth understanding of the data science concepts, link structuring, online advertisements, social networking, and algorithms for graph data. 

Data Science Bootcamp online certification is developed by Board Infinity, a digital learning platform for job seekers and learners to help them realize their true potential to meet their career dreams. The Data Science Bootcamp online course by Board Infinity is designed for those who wish to learn the fundamentals of data science to advance their careers as professional data scientists.

Data Science Bootcamp online classes include more than 20 hours of extensive video-based lectures, as well as exercises and projects, which are included in the classes to assist applicants to get a better grasp of topics such as business analytics, and data wrangling, and data visualization. Applicants will have learned how to use tools such as Python, Pandas, Numpooy, Seaborn, SQL, Tableau, Excel, Jupyter, Matplotlib, and others for diverse data science activities by the end of this course.

The Introduction to Machine Learning Course is a part of the Data Analyst Nanodegree. The candidate can opt for that course after the completion of this one. The Introduction to Machine Learning Course provided is of the intermediate level. It will teach the end-to-end procedure and functioning of investigating data with the help of the machine learning lens. The course curriculum is based on self-paced learning. The Introduction to Machine Learning Course syllabus contains ten modules in total. The candidate will be given an Introduction to Machine Learning Course at the end of the course completion. The entire course will be taught by the industrial experts, along with complete training for each concept. 

The AWS Fundamentals: Addressing Security Risk course is a 100% online programme created by Amazon Web Services (AWS) experts. It is designed to give you a rundown of best security practices when managing and building applications on the AWS platform.

Taught by AWS Solutions Architects, Coursera’s AWS Fundamentals: Addressing the Security Risk programme will provide you with practical demonstrations of cross-account access, AWS Secrets Manager, and Amazon GuardDuty. You will also gain highly in-demand skills such as information privacy, cloud applications, and Cloud computing.

Throughout the AWS Fundamentals: Addressing Security Risk certification course, you will deeply study the concepts related to security on AWS. Also, you will learn about the AWS Shared Responsibility Model and the ‘least privilege’ concept in detail.

You will learn via hands-on exercises, reading material, quizzes, video lectures, and demonstrations. Moreover, the AWS Fundamentals: Addressing Security Risk training is a beginner-level course that also offers a certificate of completion. 

The Introduction to Operating Systems training programme is a free introductory course that will help you learn about operating systems. This is a graduate-level course that dives into the abstractions, implementations and mechanisms of basic operating systems. 

Furthermore, the Introduction to Operating Systems course syllabus has been set at an intermediate level. It is divided into four sections that include an Introduction, Process and Thread Management, Distributed Systems, and Resource Management and Communication. The core of this programme consists of concurrent programming (threads and synchronisation), an introduction to distributed operating systems, and inter-process communication. 

In addition, the Introduction to Operating Systems online course will be taught by two experienced course instructors, Ada Gavrilovska and Jarrod Parkes. You will learn through a combination of instructor videos, interactive quizzes and learning exercises for maximum comprehension. 

What’s more, this is a free course offered by Udacity and Georgia Tech which means you can enrol in the Introduction to Operating Systems training and learn to accelerate your career.

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Operating System Certification Courses

The Design Thinking in Data Science online course is developed to present to the candidates the domain of data science and the techniques and strategies involved in the field. It is offered by the research and consulting educational institution concerned with data science. This online course helps develop data science skills based on engineering and business. The Design Thinking in Data Science online programme has a course schedule of 20 classes that are held live for 1 hour per week and the candidate will be required to spend an additional four to five hours per week. 

The course study is about learning programming and the fundamentals of data science with regard to the coding, mathematics, and business aspects beneficial for those who aspire to become data scientists. The online course instruction is done by qualified professional Dr. Dakshinamurthy V Kolluru, the founder, president, and chief mentor at INSOFE. The course modules and lectures provide an experiential learning process to the candidates.

Python for Data Science Bootcamp certification course is created by Board Infinity, an online educational network aimed at working professionals and participants that would help them grow and thrive by enabling them to function efficiently. The Python for Data Science Bootcamp online course by Board Infinity is for participants who want to learn the fundamentals of Python programming for data science to become certified data scientists.

Python for Data Science Bootcamp online classes is a self-paced training program that includes over 1.5 hours of video lectures, case studies, assignments, and projects to help participants gain a thorough understanding of technologies such as Anaconda, Numpy, Pandas, Jupyter, Matplotlib, and Seaborn, as well as Python concepts such as arrays, lists, and data frames. Participants will be able to develop their Python scripts to undertake basic data analysis in a Jupyter-based simulated environment by the end of this training program.

The Build Basic Android apps with Java training course. You can pursue the course online and learn to build a basic Android app from scratch. 

The Build Basic Android apps with Java programme is a beginner-friendly course that does not require any prior coding experience. You can take up the course to learn the fundamentals of programming and create simple Android apps that may be launched on the App Store. 

You will be assessed based on three building projects – Bug Invaders, Treasure Hunter, and Business Outfitted Bob. The Build Basic Android apps with Java course is offered based on a monthly membership plan, which involves a fixed fee. 

Moreover, if you purchase the 'Pro' subscription for the Build Basic Android apps with Java online course, you can enjoy perks like real-world projects, collaborative learning experience, unlimited mobile practice, and more. With an interactive curriculum, the course covers all basics involved in Android app development from the ground up. 

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Online Android App Development

The Advanced Android with Kotlin training is a two-month course provided for students in the area of android development with Kotlin. The course will teach students a range of feature addition to the apps with the best practices and creating customising views, canvas addition and animation.

In Advanced Android with Kotlin by Udacity, the students will be also able to learn how to add maps and style them and also further get into the app testing area to fix any form of bugs and errors. The students in Advanced Android with Kotlin certification will also be able to provide user login before and after for their prospective app users with all their object-oriented programming required. The course is self-paced in nature with an intermediate difficulty level of learning.

Full-Stack Engineer programme is prepared with a vastly developed curriculum. It includes tutorials on important areas such as Java, SQL and TDD. The Full-Stack Engineer by Codecademy is structured in such a manner that it is a beginner-level programme that will also help you in becoming both a front-end as well as a back-end developer. The candidate in this course will also be able to connect both the front-end and back-end development. The Full-Stack Engineer syllabus will include portfolio projects which will help the candidate to gain hands-on skills in full-stack development. 

The Data Science with R Programming Certification Training Course training lets you have a conceptual understanding of statistics, Text Mining, Time Series, and an introduction to Deep Learning. You will gain proficiency in Machine Learning Algorithms like Random Forest, K-Means Clustering, Decision Trees and naïve Bayes using R language.

In the ‘Data Science with R Programming Certification Training Course’ on Edureka, you will implement real-life use-cases on Aviation, Social Media, Healthcare, Media and Human Resources. The course curriculum also allows you to comprehend the entire life cycle of Data Science, visualize and analyze various data sets and different Machine Learning Algorithms.

Data Science is a concept of combining data analysis, statistics and their related methods to analyze and understand actual phenomena with data. Data Science Training has theories and techniques drawn from many sectors within the broad areas of information science, statistics, maths, and computer science from sub-domains of classification, data mining, visualization, databases, machine learning and cluster analysis. Undertaking the online Data Science with R Programming Certification Training Course will enable aspirants to master these, helping them become a fluent professional of Data Science.

Introduction to TensorFlow Lite Certification teaches how to deploy (DL) deep learning models on mobile and embedded devices with TensorFlow Lite. It includes various programming languages support such as Java, Swift, Objective-C, C++, and Python.

Introduction to TensorFlow Lite Classes is developed by the TensorFlow team and Udacity together as a practical approach to model deployment for software developers. All candidates get hands-on experience with the TensorFlow Lite framework as you deploy deep learning models on Android, iOS, and even an embedded Linux platform. 

By the end of this Introduction to TensorFlow Lite Training, all candidates will have the skills necessary to start deploying their own deep learning models into mobile apps.

Introduction to TensorFlow Lite Certification Course is designed for aspirants who want to learn TensorFlow Lite to execute efficiently on most devices with limited compute and memory resources. All students after completion of classes get Introduction to TensorFlow Lite Certification by Udacity.

The IBM advanced data science qualification curriculum includes the Scalable Machine Learning on Big Data using Apache Spark online course which provides students with much-needed insights to scale up the machine learning and data science methods in Apache Spark on big data sets. 

The Scalable Machine Learning on Big Data using Apache Spark syllabus will teach about datasets that need capabilities beyond a single computer and Apache Spark provides the open source-based framework and comes as a part of the IBM Artificial Intelligence Engineering. 

It is an intermediate difficulty level coursework that is fully online and provides a verified certificate. The Scalable Machine Learning on Big Data using Apache Spark by Coursera takes a total duration of 4 weeks to complete and is taught in the English language along with subtitles provided for student comfort. The course will help candidates with prerequisite knowledge on programming, SQL and machine learning with a flexible deadline and serve as a great asset for anybody aspiring to be a Machine Learning Engineer. 

Udacity’s Software Development Process online course introduces you to the concept of software engineering as a systematic and recursive process. It aims to equip you with the necessary skills to carry out a software development procedure. You will learn about Git, setting up an Integrated Development Environment (IDE) and GitHub.

During the Software Development Process online programme by Udacity, you will study the practical and conceptual aspects of Software Engineering. You will also learn how to use Unified Modeling Language (UML) to build and design an Android application. This three-month-long programme teaches you about selecting and applying the apt software procedure for your development project.

The Software Development Process syllabus extensively covers topics such as design, software quality, requirements engineering, architecture, testing and maintenance, black and white box testing, version control, etc. You will also explore several refactoring methods that will help you preceding the launch of a software project.

A/B Testing Certification by Udacity will deal with the design and analysis of A/B tests that are also known as split tests. These online experiments are used to examine potential improvements that can be made to a website or mobile application. In this test, two versions of a website are shown to different users - usually the former being the existing website and the latter being a potential change. Then, the results are comparatively analysed to determine whether the change is worth implementing. 

This is a much necessary aspect of web or app development and A/B Testing certification syllabus will cover how to choose and characterise metrics to evaluate experiments, how to analyse the results by drawing valid conclusions, how to design an experiment with enough statistical power and ultimately how to ensure that the participants of such experiments are adequately protected.

The course is offered by subject experts in a self-paced platform with interactive quizzes and projects so that learners with a tight schedule can take up the course easily and stay engaged. This online training programme is supported by Google which adds up to its credibility and quality of content being provided.