Online Programming And Development Courses & Certifications

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.

Offered by the University of Michigan, the Using Python to Access Web Data Programme is conducted by Coursera. Coursera is one of the premium skill-based training and learning academies which enables professionals to seek and specialise courses that will aid them in gaining professional competitiveness and edge over other professionals.  Specially curated by experts from the industry, Using Python to Access Web Data Programme is an ideal programme to learn the basics of Python as well as implement it in real-life scenarios. The skills that the candidates will master are Python 3, Web Scraping, XML, JSON and others. 

This certification is a 7-day free trial programme. Thereafter if the candidate is willing to continue then one can do so by paying a nominal amount per month. The programme will also cover Json, HTML and XML data formats in Python. In addition to this, candidates will get a digital or electronic certificate as well as post completion of the course. 

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. 

The PYTHON Programming Language course by DIYguru provides knowledge to the participants in various fields of Python language. This course deals with concepts like conditional statements, functions, lists, error handling, dictionaries, strings, and regular expressions. The course also covers concepts in debugging tools that are involved to solve the bugs in the code.

This course provides a wonderful opportunity for the students to improve their coding skills in the python language. The course can be accessed at any time from anywhere. The course includes interactive sessions with instructors that helps the candidate to clear their doubts. The participants would be trained to write programs that send email notifications. 

The participant would also be trained to write programmes that would do pattern recognition with the help of regular expression concepts.

The certificate is provided to the candidates who successfully complete the online module. This certification stands as a testimony to the candidate's programming skills in Python. It also adds value to the resume of the candidate.

The Ministry of Electronics & Information Technology, Government of India and NIELIT Haridwar campus collaborates on a Digital India platform to offer a Python Programming certification course. The course is designed in such a way that it first introduces students to the basics of the Python language starting with scripts. Within a duration of four to six weeks, the course progresses from writing and running scripts to later into more features such as regular expressions, file operations, and working with binary data. The program deals with Python and its modules with functionality. 

The Python Programming training course is also unique in providing the emphasis on Python features that are special in nature. The course at the end also offers a two-week project without any extra fee and students completing the course successfully with all required conditions are given an e certificate or certificate of completion. Since it is an online course, the student can complete the entire programme from the comfort of his or her home.

The Crash Course in Python (M) certification covers the entire thing the candidate will find in particular python programming's standard book. Throughout this sequence, the candidates can know about the different modules as well as how to implement them. Then in python, candidates will know about intra- and inter statements. Afterwards, they can learn how to use the print statement to display a similar message on the python terminal. 

Thereafter, the candidate will learn about the various forms of cycles, such as those for and while loops, accompanied by split and resume sentences. After that, they will be exposed to the variables, return expression, read lines functions, and string operators. Not just this, candidates also get to know about file processes, along with class and object definitions throughout the Crash Course in Python (M) training. 

In the entire programme, candidates will get to learn from the real practical case studies where python’s relevance sort the problem out. The entire course is designed in a particular way that will make the learning of curriculum so practical and relatable that will help the candidate to know and learn Python in a more effective way. 

Programming for Everybody (Getting Started with Python) certification is for participants who want to master the programming language Python through a short course. This course is a collective effort of the University of Michigan, and Futurelearn. FutureLearn supplies all the material related to the course via interactive articles and videos in a short format.

For the students, the Programming for Everybody (Getting Started with Python) certification syllabus will enclose topics like basic to core concepts. With progress in this course, this programming language can help with variables that can store information calculation. After the course, candidates will from a novice become a professional programmer.

The Programming for Everybody (Getting Started with Python) training requests only 4 hours of their entire time every week for getting a grasp on this course. With this course certificate, the learners can up their programming skills related to a computer, and take to a level further.

The C for Everyone: Structured Programming course by Coursera is the second one in their ‘Coding for Everyone: C and C++ Specialization’ programme. This training is completely self-paced, 100% virtual, and progresses towards an advanced understanding of C and C++. Besides, the deadlines are flexible, and the coursework is in the form of pre-recorded videos. Thus, you will not miss an iota of what is being taught.

The curriculum, created in collaboration with the University of California, Santa Cruz, spans across six weeks, with a practice exercise at the end of every lesson, to help you test the concepts you’ve learnt. The lessons in C will teach you the basics of programming, while the lessons in C++ will develop on those foundational lessons. Moreover, the graded quizzes and assignments with peer feedback will help gauge your expertise even further. 

Furthermore, you will also receive the certification of specialization after you successfully complete the Coursera C for Everyone: Structured Programming programme. The certificate is shareable on LinkedIn, printed Resumes, and CVs. Additionally, Coursera offers financial aid for this course as well.

The C#.NET by the National Institute of Electronics and Information Technology, Haridwar certification course is a thoughtfully constructed course that caters to the need to provide knowledge of C#.NET and its applications. The course is a medium of getting well-equipped with the concepts and knowledge of intranet and internet-based application services and their distinctive uses in different programming languages.

Candidates learn the aspects of a streamlined strategy for the development of highly flexible and highly scalable solutions required for smooth execution of the codes and programs, by learning the concepts of exception handling. This course targets at improving the practice and information in theory of the fundamentals of .NET and its functionality.

This course develops a clarification on binaries and framework of .NET and how it ensures in the formation, implementation and error removal if any from the simplified as well as nested loops. Candidates learn the methods of framing simple, conditional statements and types of loops.

The Python and Math for Data Science online programme by Metis are developed to serve as a foundation to develop your Data Science skills. This part-time course has 36 hours of learning content. You will attend two live virtual classes every week over six weeks.

During the Beginner Python and Math for Data Science certification course, you will explore the foundations of Python programming, linear algebra, probability, statistics, and calculus. Moreover, you will learn about the most common Python libraries such as Matplotlib, Pandas, and NumPy.

Metis’ Python and Math for Data Science online course will also introduce you to advanced Python concepts. These include functions, string manipulations, debugging, and error handling. This part-time programme will help you become skilled to write efficient code.

The Python and Math for Data Science training comprise detailed material on linear algebra, including vectors, linear equations, matrices, eigenvalues, etc. You will study stats topics like ANOVA, p-value, hypothesis testing and more.

The Machine Learning with Python certification course offered by IBM is a comprehensive program designed to introduce learners to the basics of machine learning using the Python programming language. Machine Learning with Python programme offered by IBM is the 13 hours (approx.) duration certification course having 6 moudules in total where students can learn on their own pace.

The Machine Learning with Python  certification course, offered by IBM via Coursera, is the intermediate level programme where students will learn classification techniques using different classification algorithms, namely K-Nearest Neighbors (KNN), decision trees, and Logistic Regression. You’ll also learn about the importance and different types of clustering such as k-means, hierarchical clustering, and DBSCAN.  Machine Learning with Python certification course offered by IBM helps the students to learn new concepts from industry experts and develop job-relevant skills with hands-on projects along with shareable career certificate from IBM.

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.

The soul of programming is said to be data structures and algorithms. Data structures aim to hold the data while the algorithms aim to solve the problem using the data. Data structures are the key to the computer algorithms which help the programmers to manage the data efficiently. The perfect selection of data helps to enhance the efficiency of the computer programme.

Computer science in this era is all about sorting and computing from given data. So, it is necessary to have a powerful knowledge about data structure, it will help one deal with different ways of arranging, storing and processing the data. It helps in utilizing maximum space and also decreases the complexity in deletion of data, addition as well as insertion of data.

To be a successful data processor one should acquire all the skills appropriately and should master their skills that will make them stand out of the crowd. Each and every company searches for an employee who has the ability to overcome all the problems and keep up to the needs and the requirements of the company. This is the platform where they can shape their skills for the same.

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.

Algorithms on graphs is a much-used concept in navigation services and has thus found supreme applicability in the current scenario. Whether it be road networks, social networks or computer networks, this domain offers a lot of scope for learning, especially for engineers. To think of the fastest time to commute, people often resort to a connected set of computers which are strewn through an efficient algorithm or a dense network. This also helps in detecting communities and leaders on Facebook.

Algorithms on Graphs course is one another valuable offering by Coursera which delves deep into the insights of graphs and its varied properties. Candidates will learn traversing graphs and orderly traversing of the same to perform meaningful tasks. Discussion on shortest paths algorithms from basic level used to open doors till faster ones used in Google Maps will be conducted. Pursuing this course will also help candidates in pursuing Fast Shortest Routes industrial capstone projects if they wish to.

This course concludes with minimum spanning trees utilised in road planning and telephone and computer networks.

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.

Building AI-Powered Chatbots without programming certification course is offered by IBM and is conducted by Coursera. The programme attracts a vast number of candidates that want to learn to develop Chatbots without any need for coding for it. 

With a rise in the demand for Chatbot, this Coursera programme is ideally a programme that should not be missed by professionals who are aiming to build a career in this field. The programme is flexible in nature so that it can be easily pursued by professionals. Moreover, the course gives a certificate of completion, if the candidate fulfills all the key requirements of the Building AI-Powered Chatbots Without Programming training programme. The course can be of tremendous help in finding job opportunities in top companies across the globe.

The programme will be delivered via videos, pre-recorded content, and practice exercises which will help the candidate in gaining both theoretical as well as practical information on the subject. 

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.