Online Programming And Development Courses & Certifications

The course on Machine learning using python, are apt for aspirants who want to create a promising career in the field of Machine learning. Aimed to provide insights on the fundamental concepts and techniques of Machine Learning, it is also equipped with the upgraded learning experience song with the usage of Python Language. 

The online course is offered by the National Institute of Electronics & Information Technology (NIELIT) in Haridwar, an educational intuition recognized by the Ministry of Electronics & Information Technology of the Indian government. This short course is packed with informative e-Content and is rewarded with an e-Certificate upon the successful completion of the course to each participant.

The course mainly focuses on the fundamentals in the topic of machine learning such as Data visualization, Data manipulation, Collection, details on Python, Machine learning algorithms, etc. this is also an introductory level course that provides the learners with the required knowledge in Machine learning which could even help them in molding their relevant future skills.

The Data Science with Python Certification programme enables candidates to become skilled data scientists. Hence, the curriculum will teach you all the necessary concepts of Time series, statistics, and ML algorithms such as the unsupervised, supervised, and reinforcement. You will also gain fluency in other ML algorithms like clustering, regression, Random Forest, Decision Trees, Q-Learning, and Naïve Bayes. Moreover, you will experience the industry-relevant practices by solving real-time case studies on aviation, HR, social media, and healthcare.

Edureka’s Data Science with Python Certification Course offers a feature-rich curriculum. You will attend instructor-led live classes, work on frequent assignments, have a lifetime LMS access, and engage in peer interaction via the community forum. Besides, you will also receive lifetime access to the 24x7 support team to resolve technical queries.

Moreover, the online Data Science with Python Certification Course will award you with a prestigious certificate, post-completion. You will also receive a ‘resume-building tool’ to create a professional CV and ace recruitment for top-tier companies like Dell, Honeywell, Cisco, VMware, etc.

The Python with Data Science and Machine Learning certification course will help you master the core concepts of Python's programming language. It will deep dive into how Python can work on various data structures. The course will also teach the candidates how to use data to plot graphs.

The Python with Data Science and Machine Learning certification programme also gives an insight into one of the modern concepts of the digital revolution, Machine Learning. The course will cover the theoretical framework of various machine learning models and how to apply them efficiently and help to learn the core concepts in practice. 

Besides, the Python with Data Science and Machine Learning online programme by NIELIT Chandigarh is perfect to learn about the upcoming industrial trends in Data Science and Machine Learning, which will equip you with the knowledge to get better career opportunities. The course is taught by an experienced faculty and will be an immersive learning experience. 

The certificate programme on Algorithmic Toolbox by Coursera is an intermediate level course that will cover basic ideas for problems arising in the practical applications of computational problems, algorithmic techniques, greedy algorithms, Sorting and searching, Dynamic programming, and divide and conquer. The course offers a lot of theory and understanding of the burning questions in programming. It helps candidates develop an understanding of how to solve the most commonly arising problem and how they can break it into pieces and solve them recursively, Further how they can sort data and how it can help in searching, when it is ok to proceed greedily and how genomic studies use dynamic programming.

The candidates will be given enough practice in solving the computational problems, implement the solutions efficiently, design new algorithms, and ensure the easy and smooth running of the programs. This course forms a part of specialisation in Data structures and algorithm specialisation, for candidates willing to learn more about the topic and further continue to take the specialization too.

For candidates and professionals willing to learn about the new challenges in programming and better equip themselves for staying relevant in the industry this course on Algorithmic Toolbox will offer a much better understanding of the subject and help them take the next step in their career.

It seems difficult for Java to deal with data in huge quantities. Various data algorithms and frameworks work together when applications exercise vast and real data sets. Data Structures and Performance is a Java course at an intermediate level which is recommended to the candidates who have an experience or familiar with computer science or software development. The programme focuses on establishing code which finishes the work effectively and efficiently by giving accurate results.

In this programme, the candidates would get an opportunity to analyze and utilize data structures that are applied in industry-level applications like hashtables, trees, and lists. The concepts will describe how the data framework makes programmes flexible and efficient. Through this course, the candidates can apply to Professional Certificates programs as well as multiple specializations. This course would be counted towards training in Object-Oriented Java Programming: Data Structures and Beyond Specialization and Object Oriented Programming in Java Specialization.

The Algorithms: Design and Analysis, Part 2 online course by edX, is aimed at learners who have at least some experience in programming. It is a self-paced intermediate-level programme with a rigorous curriculum that focuses more on conceptual understanding and the bigger picture than mathematical details and low-level implementation.

The topics covered under the Algorithms: Design and Analysis, Part 2 certification syllabus include Greedy Algorithms (Clustering, Scheduling, Huffman Codes, Minimum Spanning Trees), Dynamic Programming (Sequence Alignment, Shortest Paths, Optimal Search Trees, Knapsack), NP-Completeness, Local Search, and Analysis of Heuristics.

The Algorithms: Design and Analysis, Part 2 training programme by edX includes various assessments through which learners can practice and master Algorithms. These include six multiple-choice problem sets, six programming assignments, and a final multiple-choice exam. 

Moreover, there is no due date for these assignments, allowing learners to work through the course at their own pace. But to complete the course comfortably within six weeks, they must study two to four hours a week. Edx has 2 tracks namely the verified track and the audit track which allows the students to finish off the course. During the verified track, the candidates will get unlimited but paid access to the course materials. In the audit track, the candidates will be getting limited but free access to the course materials.

Algorithms: Design and Analysis, Part 1 online course will explore the heart of computer science - algorithms. Candidates will learn, practice, and master the fundamentals of algorithms using a combination of video lectures, programming assignments, and multiple-choice quizzes to help them evaluate their progress.

Algorithms: Design and Analysis certification syllabus will provide information on various topics such as sorting and searching, data structures, graph primitives, randomized algorithms, and the 'Big-Oh' notation. This is an intermediate curriculum and requires some experience on the part of candidates in programming languages. These can include C, Java, or Python languages.

Algorithms: Design and Analysis by edX is a six-week, online certification course that features faculty members from Stanford University.  Students will have to devote two to four hours every week to this course and give a multiple-choice final at the end. It is a self-paced course that provides English transcripts of all the lectures for better understanding. Learners can get enrolled in the course for free or by paying a small amount. If they want to learn the course without paying anything they may opt for the audit track where limited access is given. On the other hand, if they want unlimited course access they may opt for admission using the verified track for which they may have to pay a small amount.

Programming for Everybody: Python Data Structures certification is a 6 weeks long course led online by the University of Michigan experts, and FutureLearn for helping learn python from scratch at an advanced level. This course is 100% available in online sessions which are conducted at a time interval of 4 hours every week.

Programming for Everybody: Python Data Structures certification syllabus offers introductory concepts to core data structures that are related to Python Programming language. This course also gives details on how these data sets are used for programming in daily life. This online programme moves ahead of just the basic concepts and advances to the procedural programming 

Programming for Everybody: Python Data Structures training falls under the online category of Information Technology, and the Computer Science course will help to use the Python built-in data structures like lists, tuples, and dictionaries, which will be performing analysis of more intense complex data. 

Also Read: Career as a Computer Programmer

The C for Everyone: Programming Fundamentals course is a beginner-level programme to help you get started with the C language for programming. The course curriculum consists of the fundamentals of C and has been built for everyone, absolute beginners in programming or coding. It will give a head-start to interested learners who want to establish a firm foundation to learn the C language and then progress to the advanced courses.

The C for Everyone: Programming Fundamentals training has been created in collaboration with the University of California, Santa Cruz. The curriculum includes learnings such as the history, data types, lexical elements, simple functions, control flow, recursion, and advanced functions of C. These concepts will provide an in-depth understanding of the fundamentals of C that help it to operate.

Moreover, the C for Everyone: Programming Fundamentals course by Coursera can be joined for free and features flexible deadlines and pre-recorded videos to help you learn at your own pace. The course curriculum is available in English, but subtitles are available in multiple languages. Upon satisfactory completion, you will receive the course certificate.

The course, “Getting Started with Go” is intended for people with previous programming expertise utilising languages such as C, Python, or Java, and covers the elemental components of Go. Topics embody the various types of data, protocols, formats, and writing code that comes with RFCs and JSON. Most significantly, you’ll have an opportunity to follow and try writing Go programs and receive feedback from your peers. Upon finishing this course, you will be able to implement easy Go programs, which can prepare you for the ensuing study at a greater and advanced level.

The programming language Go is an open-source project to assist programmers in being much more productive.

Go is communicative, concise, clean, and economical. Its concurrency mechanisms facilitate the process of jotting down programs that get the maximum out of multicore and networked machines, whereas its novel kind of system allows versatile and standard program construction. Go compiles quickly to machine code, and nevertheless,  has the convenience of waste storage and also the power of run-time reflection. It is a quick, statically written, compiled language that appears to be a dynamically written and understood one. 

The course Competitive Programmer's Core Skills offered by Coursera is collaborated with Saint Petersburg University to offer the basic programming skills on any type of platform. For aspirants who are looking for coding practice online and to get hired as a programme developer, the programme helps them to a large extent. Learners are made to learn the skills that are required to capture programme logic efficiently. Thereby learners can learn programming easily in the desired platform at the end of completion of the course.

In the engaging software environment, everyone is interlinked with software and development and even for any updates, there is a vast use of programming in an organization or at any other place. Here the course comes into a need with all the basics of programming aspirants can learn for new developments. Thereby every organization looks for programme developers and programming testers to work with errorless results. Programming has made new developments in technology and it is an endless process

This course is offered by the University of Washington which is one of the oldest state-supported universities for higher education and one of the best research universities in the world. This course will help you know your strength, apply your analytical skills, and provide you with the confidence to perform efficiently at your workplace or start your own business. 

Students are introduced to the basics of programming languages and with additional focus on functional programming, using languages like ML, racket, and Ruby to teach the ideas to the student community, but the course aims to make students learn about how they can fit together any language to make an effective program in any language and learn new ones.

This course combines programming specifics and theoretical knowledge about the programming languages, providing a framework for understanding how a language can be used to create programs in an effective manner. This will demand you to put your analytical thinking to use, more, by selecting different languages as compared to in terms of the particular syntax of one language.  For learning how to write a robust, reusable, composable, and elegant program, it is very essential to learn about functional programming which offers the most important ideas in the latest languages. 

There are times when the right introduction to Computer programming can te off a passionate and fulfilling career. The Programming in Scratch is a course by edX that makes the formative years of one’s professional pursuits much more likely to succeed, through owning and creating interactive games and stories duly backed by animations.

The Programming in Scratch is a program developed at MIT and will challenge your mind to put its cognitive resources to use. The graphical user interface enables the users to use a “pick and drop” feature to present effective games, beautiful songs, and enriching animations in a matter of a few minutes.

The program is slated to run for 6 weeks and is an introductory-level program in English. It does not need the participants to have any previous programming language experience. The layout of the program has been kept as self-paced and is accessible on smartphones.

Offered by IBM, the Data Analysis with Python Programme certification course is a certification programme which is conducted by one of the leading and pioneering skill-based training academy namely, Coursera. By undertaking this programme, the candidate will specialise and learn the art of analysing the data with the help of Python. During the course, the candidates will be able to master and gain knowledge on different skills namely, Data Analysis, Model Selection, Data Visualization, Python Programming and Predictive Modelling. 

The candidates will seek a detailed understanding about skills used in data analysis namely, Scipy, Numpy and Pandas libraries. This programme being a 100% online programme will give ease and convenience for professionals to pursue it. A shareable certificate will also be given in the end post successfully completing the programme. This certificate can be easily viewed, printed and shared on LinkedIn as well. Moreover, this programme Data Analysis with Python training  will act as a foundation or basis for professionals to pursue different programmes post completion of this one. 

Stochastic motion is the motion of particles like that of ink in water. As opposed to the movement of celestial objects which can be calculated, this motion cannot be predicted. The Stochastic Processes: Data Analysis and Computer Simulation certification course aim to introduce candidates to stochastic processes and how to conduct data analysis on them. 

Students will first learn the fundamental theories governing stochastic processes in the training programme. Then, using Jupyter (iPython) notebook, they will learn how to do numerical simulations and perform them. They will analyse the simulation data as well. The six-week-long  Stochastic Processes online course in Physics is made for students interested in thermal motion and particle motion. 

Faculty from the reputed Kyoto university in Japan teaches this course on Stochastic Processes: Data Analysis and Computer Simulation training by edX. Throughout this course, candidates will acquire knowledge of stochastic processes and programming. This online programme is completely free of cost. edX also offers a verified certificate upon course completion.

The Full Stack Web Development Bootcamp by ikigaiHub is an extensive course that covers full-stack essentials end-to-end. As an aspiring full-stack developer, this is an ideal curriculum choice, as it includes over 60 hours of one-on-one mentoring by industry experts. This offline programme features hands-on learning via case studies, over 10 quizzes, and the latest industry-relevant syllabus, to name a few. 

Since the training aims to increase your full-stack fluency, the Full Stack Web Development Bootcamp syllabus covers core topics. These include backend technologies, like MongoDB, RESTAPIs, NodeJs, etc., and frontend technologies, including Bootstrap, CSS, and HTML. The live projects will help you gain real-world knowledge and acquire in-demand skills to seek lucrative job roles. 

Moreover, the Full Stack Web Development Bootcamp will also provide 4 industry professionals to help you build the live projects. You’ll also receive career assistance, resume-building guidance, and undergo mock interviews to prepare for recruitment rounds. Once you complete the Bootcamp, you can also earn ikigaiHub’s prestigious certificate, based on your mentors’ assessment. 

Databases contain much of the world's data. Structured Query Language or SQL is a robust language used to extract data and communicate with databases. If you are looking to build a career as a data scientist or in a related field, the Databases and SQL for Data Science with Python course is ideal for you. This training will help you understand the SQL language’s foundational and relational database concepts. You will also learn about conducting SQL access in a data science environment. 

The Databases and SQL for Data Science with Python certification syllabus concentrates on practical and hands-on learning. You will have the opportunity to work with real-world data sets, real data science tools, and real databases. There will also be periodic practice and graded quizzes for motivation and evaluation. 

Databases and SQL for Data Science with Python certification does not need any prior knowledge of Python, databases or SQL to join. You will have flexibility with the course material and audit it for free. Upon completion, you can also receive the shareable certificate if you choose to pay for it.

The Building Modern Python Application on the AWS certification course offered by edX will guide you to develop a serverless scalable architecture, which will avoid manual operations, and focus on different projects to make an impression in the market.  

The Building Modern Python Application on AWS online course comprises the use of Amazon EC2 virtual machines for hosting services like Amazon Elastic Kubernetes, Amazon container services. The module covers topics on API, and its applications using AWS Lambda and Amazon Cognito. Candidates will be guided about flow works using Cognito, an API-triggered gateway for adding Lambda backend, and different configurations of lambda. The module also focuses on developing a new, greenfield serverless backend on AWS.

A duly signed certificate will be issued by the instructor after completion of the course for the candidates who have paid a fee for the course. The students also can audit the programme for a limited duration without paying the fee. This Building Modern Python Application on AWS certification issued to the applicants can be attached to the CV or resume as a skill which can be shared on all digital platforms like LinkedIn, Fiver, and many other job portals 

This course is developed for people with many goals like software developers and people who are trying to polish their programming skills. Object-Oriented Programming in Java is an intermediate Java course, designed for learners who have previous knowledge about software development or any background in computer science. The course moves with the objective that when you complete the course you are confident to create a java program on your own and carrying much more knowledge about programming than before. 

You will learn the fundamentals of object-oriented programming, building graphical user interfaces, how to leverage the power of existing libraries and using some core algorithms for searching and sorting data.

The course is designed knowing well how the learners are from different backgrounds and are here for different objectives, seeing that the first week you will get to know about the course, how you will learn and why this course. You will get assignments and quizzes, also get to participate in group forums with other students of the course. 

You will take a minimum of 6 weeks to complete this course. 

Computer science programming is an exciting and fulfilling career option. We, at edX, have partnered with Purdue University to bring to you the AP Computer Science A: Java Programming Polymorphism and Advanced Data Structures program in Computer Science that encompasses Java Programming; specifically, the concepts associated with Polymorphism and other advanced data structures 

The main strategies covered in the AP Computer Science A: Java Programming Polymorphism and Advanced Data Structures training include but are not limited to Object-Oriented Programming, Abstract classes, keywords, generics, search algorithms, and exceptions. This is taught from the basics by a renowned learning mechanism developed at Purdue University. The teaching methods are exemplary.

The AP Computer Science A: Java Programming Polymorphism and Advanced Data Structures course is for those looking to immerse in the founding principles of Java programming, more so for those who are current students of the subject and would like a new approach towards learning. This 6-week course requires 5 to 10 hours of input from the candidates for an optimum learning experience. The students will be given two tracks called the free/audit track and the audit/verified track to get done with learning the programme. During the free track, the stduents will be offered no completion certificate with limited course access whereas in the paid track, the candidates will be able to visit the course materials for an unlimited time and they will also offered a course completion certificate.

Computer programming is a sought-after skill by many technology companies around the globe. The AP Computer Science A: Java Programming Loops and Data Structures program is brought to you by Purdue University and covers the basics relevant to the AP Computer Science A course and its corresponding examination.

The key elements are taken into cognizance by the AP Computer Science A: Java Programming Loops and Data Structures course includes the logic associated with repetition statements such as for, for-each, while, and do-while. These bundles allow for a given condition to be checked repeatedly in a loop to achieve an envisaged task. Thus, it is targeted at first-level students.

The AP Computer Science A: Java Programming Loops and Data Structures training will last for 6 weeks and the participants are expected to dedicate 5 to 10 hours on a weekly basis for maximum impact. It is a self-paced program and is accessible through mobile platforms as well. Thus, the students have a fair bit of autonomy.

The Certification course AP Computer Science A: Java Programming Classes and Objects is a basic programming course for beginners who want to learn programming skills. The course is certified by Purdue University. You are going to learn the programming skills in Java language in AP Computer Science A: Java Programming Classes and Objects. There are three instructors for the course. 

The certificate course, AP Computer Science A: Java Programming Classes and Objects will cover the most important yet the simplest concepts of programming in Java. The fundamentals covered in the course are the building blocks for any programming language used by the coders. Writing effective programs and applying the knowledge in a fruitful way is the major goal of the course. 

The course introduces you to programming in Java through various concepts. You will learn writing programs using classes, will know the meaning of objects, develop the skill of creating interfaces, and much more through Java programming language. AP Computer Science A: Java Programming Classes and Objects will be beneficial to learn the important programming fundamentals with a basic knowledge of Java.  

The AP Computer Science A: Java Programming Certification Course is a 6-week long course that explores the aspects of computer programming, computer operations, and the impact of computing with a special focus on the Java programming language. This is a first-level computer programming course and can be easily accessed on the edX learning platform.

The AP Computer Science A: Java Programming Training will be provided by expert tutors from Marquette University and Purdue University. Upon completion of the course through video lectures, course materials, assignments, and exams, learners will receive the AP Computer Science A: Java Programming Certification by edX and Purdue University.

Edx has 2 tracks in which the students can be enrolled - one is the audit track and the other is the verified track. One track offers limited free access to the course materials but no certificate after completion whereas the verified track is the upgraded version of the same course that gives unlimited but paid access to the course materials.

Deep Learning with Python and PyTorch by edX is part of a two-part series on developing Deep Learning models using Pytorch. The first course in the series is titled ‘PyTorch Basics for Machine Learning’, and it covers the basics of PyTorch. Hence, you must have completed the first course to understand this programme thoroughly.

Furthermore, the Deep Learning with Python and PyTorch course syllabus aims to teach how to build deep neural networks. You will learn methods such as initialisation, dropout, batch normalisation and different types of optimisers. The programme will further explore concepts like data whitening, deep autoencoders, shallow autoencoders, autoencoder applications, etc. After you are done with all the modules, you can test your skills through the final independent project.

The Deep Learning with Python and PyTorch certification falls under the subject of Data Analysis and Statistics. This is a six-week-long intermediate-level course that will not explain things from scratch. Thus, you must have prior knowledge and interest in the field of machine learning. There are two options to join the programme, namely, verified and free audit. In the verified mode, the learners will have unlimited access to the self-paced course and in the free mode, they will have access only for a limited period. 

The Deep Learning on Azure with Python: Reinforcement Learning programme is aimed at introducing you to reinforcement learning (RL). You will use Python in Microsoft Azure to explore its relevant formal notation and various RL techniques. During this course, you will understand how RL uses Artificial Intelligence (AI) to solve complicated problems that involve numerous decisions.

During the Deep Learning on Azure with Python: Reinforcement Learning certification course, you will also discover how RL is implemented in neural networks to create more refined algorithms. Furthermore, you will study common relational algorithms like temporal difference learning and dynamic programming algorithms. The curriculum will also cover Bandits, Policy Gradient, Approximate Solution Methods, and Actor-Critic RL that Works.

The Deep Learning on Azure with Python: Reinforcement Learning training will make you skilled to implement the RL methods in Microsoft’s Azure Cognitive Services. This six-week-long online course is curated by CloudSwyft Global Systems. You also have the option to receive a course completion certificate at the end of this programme.

Data Processing Using Python certification course has been mainly designed for non-computer significance. The course commences with fundamental principles of Python. The candidates would learn to obtain data in Python locally and from the chain, to learn to introduce information, how to regulate data, how to create fundamentals and advanced statistical inspection and anticipate data. They would also learn to design an easy GUI to process and introduce data, enhancing level by level.  

This Data Processing with Python training is based upon the Finance data and establishment of case studies which would empower the candidates to understand the coherence, grace, and durability of Python. The programme will also describe the ability, efficiency, and convenient data processing scope of Python in social sciences and humanities apart from the business field. The course has been updated recently, from Python 2. x the course has started focusing on Python 3. x. Web API is included for parsing and fetching. The modules are available in Chinese but English subtitles are also provided.