List of Online Courses and Certifications

The Pavol Almasi Computer Programmer at Berkshire Hathaway Company created the Accelerated C# And Windows Forms Course for Beginners certification, which is presented by Udemy and is designed for candidates who want to master the concepts and strategies associated with C# programming and Windows Forms for developing applications. To help candidates master C# successfully and swiftly, the Accelerated C# And Windows Forms Course for Beginners online classes utilize a combination of theory and practical exercises.

With Accelerated C# And Windows Forms Course for Beginners online training, candidates will be guided through the building of C# windows forms applications and encouraged to use what they've learned in innovative ways. Candidates will receive 29 hours of resources, as well as 71 downloadable documents and a article, covering a variety of topics such as data validation, database programming, exception handling, inheritance, polymorphism, event wiring, indexers, overloaded operators, and more.

The stock market is renowned for its turbulence, dynamic, and nonlinear nature. Due to a variety of factors, including politics, the state of the global economy, unforeseen occurrences, a company's financial performance, and others, accurately predicting stock prices is very difficult. The Mammoth Interactive - Instructor & John Bura Web, App & Game Developer-designed the Detect Fraud and Predict the Stock Market with TensorFlow certification course, which is offered by Udemy.

Detect Fraud and Predict the Stock Market with TensorFlow online classes are intended for individuals who want to become experts in the artificial intelligence methodologies used to highlight stock market fraud. Individuals will learn about Tensorflow, linear regression, and Python in the Detect Fraud and Predict the Stock Market with TensorFlow online course, as well as about the techniques and resources needed to create stock market prediction applications.

TensorFlow Developer Certificate in 2022: Zero to Mastery online training was developed by Daniel Bourke, a machine learning engineer, writer, and video producer, and Andrei Neagoie, the founder of zerotomastery.io. Zero To Mastery is an educational platform that teaches in-demand skills and is made available through Udemy for students who want to acquire the skills to solve machine learning and deep learning problems using Tensorflow to obtain the TensorFlow developer certificate.

TensorFlow Developer Certificate in 2022: Zero to Mastery online training incorporates 63 hours of extensive lectures accompanied by 5 downloadable resources, 42 articles, and coding exercises which is intended to provide learners the opportunity to demonstrate their machine learning knowledge and experience in a global employment market that is becoming more and more AI-driven. TensorFlow Developer Certificate in 2022: Zero to Mastery online classes take learners from beginners with TensorFlow for producing excellent deep neural networks by explaining the concepts involved with deep learning, convolutional neural networks, computer vision, and natural language processing.

Google created the open-source TensorFlow library, which is primarily used for applications involving deep learning. Additionally, it claims to support conventional machine learning. Complete Guide to TensorFlow for Deep Learning with Python online certification is developed by Jose Portilla - Head of Data Science at Pierian Training which is delivered by Udemy for candidates who want to master the concepts and strategies associated with TensorFlow for deep learning activities.

Complete Guide to TensorFlow for Deep Learning with Python online course provides 14 hours of thorough lectures along with 5 downloadable learning resources and 7 articles which aim to teach the candidates about the techniques necessary to create artificial neural networks for deep learning operations. The Complete Guide to TensorFlow for Deep Learning with Python online training explains the theories behind image classification, CNN, GNN, and RNN, as well as acts as a comprehensive manual for using the TensorFlow framework following its intended purposes while demonstrating to candidates the most recent deep learning methods.

TensorFlow is an open-source framework for a variety of different machine learning problems, whereas Keras is a neural network framework. Both high-level and low-level APIs are offered by TensorFlow, whereas Keras only offers high-level APIs. Complete Tensorflow 2 and Keras Deep Learning Bootcamp certification course is designed by Jose Portilla - Head of Data Science at Pierian Training which is presented by Udemy for applicants interested in learning about TensorFlow 2 for deep learning and artificial intelligence.

Complete Tensorflow 2 and Keras Deep Learning Bootcamp online classes contain 19 hours of extensive lectures supported by 3 downloadable resources and 2 articles which guide applicants to build artificial neural networks using the TensorFlow 2 framework for deep learning operations. With Complete Tensorflow 2 and Keras Deep Learning Bootcamp online training, applicants will be taught about machine learning, natural language processing, and time series analysis as well as strategies for utilizing the Keras API to build Tensorflow 2 models more quickly.

Tensorflow is the world's most widely used deep learning framework, and it was created by Google. Tensorflow is the machine learning and artificial intelligence library of preference for many businesses. Deep Learning with TensorFlow 2.0 online certification is created by 365 Careers, an Udemy-affiliated educational platform that creates opportunities for finance and data science students.

Deep Learning with TensorFlow 2.0  online classes offers 6 hours of prerecorded lessons supported by 18 articles and 20 downloadable resources which are targeted at the students interested in mastering the strategies to code and build deep learning algorithms and machine learning algorithms from scratch to become certified data scientists. Deep Learning with TensorFlow 2.0 online training revolves around topics like neural networks, standardization, machine learning, initialization, normalization, pre-processing, training, validation, overfitting, underfitting, and more.

A large neural network library that integrates with TensorFlow is called Keras. TensorFlow is an open-sourced end-to-end framework and library for many tasks involving machine learning. A Complete Guide on TensorFlow 2.0 using Keras API certification course is developed by Hadelin de Ponteves - AI Entrepreneur, Ligency I Team - an educational organization that helps data scientists in acquiring skills & Luka Anicin AI Engineer & Entrepreneur and is made amiable by Udemy.

A Complete Guide on TensorFlow 2.0 using Keras API online training comprises 13 hours of digital lessons accompanied by 13 articles and 3 downloadable resources and is arranged to cover every topic from neural networks and training to put it in use. With A Complete Guide on TensorFlow 2.0 using Keras API online course, individuals will learn about data validation, dataset preprocessing, machine learning, CNN, ANN, and RNN as well as how to create a stock trading bot using reinforcement learning.

For building Deep Learning models, Google introduced the TensorFlow framework. Artificial neural networks are a key component of the deep learning class of machine learning models. Tensorflow Deep Learning - Data Science in Python online certification is developed by Minerva Singh- Instructor & Data Scientist and is offered by Udemy for candidates who want to master the concepts involved with TensorFlow for data science operations using python programming.

Tensorflow Deep Learning - Data Science in Python online course contains 7 hours of video-based lessons supported by 3 articles and 45 downloadable resources to provide candidates a thorough understanding of statistical modeling, data visualization, machine learning, and fundamental deep learning using the Tensorflow framework in Python. By the end of the Tensorflow Deep Learning - Data Science in Python online training, candidates will be able to use packages such as Numpy, Pandas, and Matplotlib to collaborate with actual data in Python.

The Android Machine Learning with TensorFlow lite in Java/Kotlin certification course was designed by Hamza Asif, an Android Developer, Flutter Developer, and Instructor, and is made available through Udemy, which is aimed at students who want to become proficient in the machine learning tools and methodologies to implement machine learning models in their android applications using the functionalities of TensorFlow Lite.

Android Machine Learning with TensorFlow lite in Java/Kotlin online classes encompass more than 5.5 hours of prerecorded lectures supported by 19 downloadable study materials which are geared toward teaching students how to use Android Studio and TensorFlow Lite to incorporate machine learning and computer vision into their applications for Android. Android Machine Learning with TensorFlow lite in Java/Kotlin online course discusses topics like application development, classification, and regression as well as explains the functioning of various tools like Keras, Java, Kotlin, Pandas, Numpy, and Matplotlib.

Deep learning is a branch of artificial intelligence and machine learning that resembles how learners understand specific types of information. Data science, which also includes statistical data and predictive modeling, includes deep learning as a crucial aspect. TensorFlow 101: Introduction to Deep Learning online certification is created by Sefik Ilkin Serengil - Software Engineer, which is delivered by Udemy for the participants who are interested in learning the TensorFlow framework and concepts involved with artificial intelligence, machine learning, and data science.

TensorFlow 101: Introduction to Deep Learning online training is a self-paced program that offers 4 hours of digital lessons accompanied by downloadable learning resources and assignments which is aimed at the participants who want to acquire a foundational understanding of the concepts involved with deep learning from scratch. TensorFlow 101: Introduction to Deep Learning online classes discusses topics like deep neural networks, segmentation analysis, time series analysis, supervised learning, unsupervised learning, face recognition, machine learning models, and more.

Since the era of technology is changing, big companies are looking for new experts in various fields. The companies using modern technology require trained professionals to utilise their skills in a productive manner. Data Analytics using Keras is a part of mathematical analytics which has brought a whole new change in the technology world. It is a great way to start using digitalization and technical aspects of work in the workplace.

Nowadays, the need for such trained professionals is enhancing day by day. Big companies such as Amazon, Flipkart, Google are looking for trained professionals with a deep understanding of Keras. 

With Certified in Deep Learning with Keras, can access different skills to be professionally trained in using Keras. Online classes and supportive faculty contribute a lot to this course to be the right choice for learners seeking these skills. After getting certified through this course, learners will get several job opportunities from recruiters and other modes.

Bigdata with AWS - From Beginner to Expert online certification is developed by Saif Shaikh - Professional Data Engineer & Trainer and is presented by Udemy which is aimed at individuals who want to improve their big data skills by utilizing AWS's features. Bigdata with AWS - From Beginner to Expert online course by Udemy focuses on teaching the core functionalities of tools like Hadoop, Hive, Spark, Scala, Kafka, and more.

Bigdata with AWS - From Beginner to Expert online classes comprise 81 hours of thorough video-based lectures as well as rich learning resources aimed at teaching big data analytics fundamentals. AWS, Sqoop, Hive, Cassandra, Scala, Kafka, Hadoop, Spark, and more tools are covered in this course. Individuals will be prepared to operate in an independent industry environment by the end of this course, which will help them acquire confidence in coding as codes are written from scratch.

AWS Certified Developer Associate Exam Training DVA-C02 online course was created by Neal Davis, AWS Certified Solutions Architect & Developer, in collaboration with Digital Cloud Training, a learning platform that provides the top-notch AWS certification test preparation resources, and is presented by Udemy, which is designed for learners who want to learn how to architect and build applications on Amazon Web Services while preparing for the AWS certified developer associate examination.

AWS Certified Developer Associate Exam Training DVA-C02 online classes include 17.5 hours of prerecorded resources, as well as 2 articles, quizzes, and practice exams, so students may put their new abilities to use right away. AWS Certified Developer Associate Exam Training DVA-C02 syllabus includes topics like application development, load balancing,  application security, application integration, auditing, monitoring, logging, cloud computing, and many more. By the end of this course, learners will have gained a solid experience-based competence on AWS, and the determination to master their AWS certified developer associate examination on the first attempt.

AWS Certified Solutions Architect - Associate 2022 online course Zeal Vora - Certified Instructor, which is made available through Udemy, is aimed at participants who want to get into the domain of cloud computing and AWS and want to achieve the authorized solutions architect associate accreditation by AWS. The AWS Certified Solutions Architect - Associate 2022 online classes by Udemy are designed to help businesses find and develop personnel with the skills they need to implement cloud initiatives.

AWS Certified Solutions Architect - Associate 2022 online training contains more than 29.5 hours of digital video-based lectures, 5 downloadable materials, 24 articles, and practice tests included in the program to help learners learn how to build and implement distributed systems on AWS. By the end of this course, participants will have mastered many areas of AWS global infrastructure, storage, security,  storage, access, identity management, and more.

Amazon Web Services offers a comprehensive and fully integrated portfolio of cloud computing services that can help individuals in developing, securing, and deploying big data applications. Individuals can focus their assets on revealing new insights because there is no equipment to purchase and no infrastructural facilities to maintain and scale with AWS. The Big Data on Amazon Web Services (AWS) online certification was created by Learnsector LLP, an educational organization that offers information technology courses, and is delivered by Udemy.

Big Data on Amazon web services (AWS) online course involves 7 hours of digital lectures accompanied by 5 articles and 5 downloadable resources which are created to help participants gain practical experience with AWS and big data strategies on the cloud. Big Data on Amazon Web Services (AWS) online classes aimed at simplifying the process of using big data tools on AWS while also discussing various concepts and strategies related to cloud computing, business intelligence,  data warehousing, artificial intelligence, data migration, machine learning, big data analytics, and more.

The PySpark Essentials for Data Scientists (Big Data + Python) online certification, created by Layla AI - Data Scientist Consultant & Instructor, is offered by Udemy to participants who want to learn the practical PySpark concepts they will need to know daily to become qualified data scientists and data engineers.

PySpark Essentials for Data Scientists (Big Data + Python) online training by Udemy comprises more than 17.5 hours of virtual lessons along with 28 articles and 139 downloadable resources which provide a strong foundation for big data concepts using Python. Participants in the PySpark Essentials for Data Scientists (Big Data + Python) online course will learn about a variety of subjects including data streaming, application development, data wrangling, machine learning, natural language processing, spark structured streaming, hyperparameter tuning, cross-validation, topic modeling, Gaussian mixture modeling, and much more.

The accountabilities of an Apache PySpark developer encompass creating Spark tasks for data aggregation and transformation, drafting test scripts for Spark helper and transformation methods, writing Scaladoc-style documentation for all code, and designing data processing channels. Complete PySpark Developer Course (Spark with Python) online certification is created by Sibaram Kumar - Data Engineer & Instructor, which is offered by Udemy.

Complete PySpark Developer Course (Spark with Python) online classes are intended for candidates looking for a comprehensive program to help them learn the core functionalities of PySpark to become data engineers and data scientists. Complete PySpark Developer Course (Spark with Python) online training covers topics such as Spark RDD, HDFS, Spark SQL, SparkSession, DataFrames, DataTypes, and ETL, as well as the strategies involved in the effective big data processing.

Python and Apache Spark have teamed up to create PySpark. As opposed to Python, which is a general-purpose, high-level language of programming, Apache Spark is an open-source cluster computing framework focused on speed, usability, and streaming analytics. Apache PySpark Fundamentals certification course is developed by Johnny F. - Programmer & Instructor and is made available by Udemy for learners who want to become professional PySpark developers.

Apache PySpark Fundamentals online training is a comprehensive program that incorporates 1.5 hours of digital lessons supported by downloadable learning materials that focus on teaching the basics of Apache Spark with Python and equip students with all the knowledge they need to create Spark applications using PySpark. Apache PySpark Fundamentals online course covers topics such as Spark functions and resilient distributed datasets, and it offers an understanding of Apache Spark and how it can help with data science and big data analytics.

Python's PySpark provides an interface for Apache Spark. Along with offering the PySpark shell for collaborative data analysis in a distributed environment, PySpark allows users to create Spark applications using Python APIs. The majority of Spark's features, including Spark SQL, DataFrame, Streaming, MLlib, and Spark Core, are supported by PySpark. Learning PySpark online certification is designed by Packt Publishing - a learning platform that is intended to offer certifications to help applicants improve their knowledge and is delivered by Udemy.

Learning PySpark online training is a short-term program that contains 2.5 hours of video lectures along with downloadable resources which begins by offering applicants a solid understanding of Apache Spark and how to set up a Python environment for Spark. With the help of Learning PySpark online classes, applicants will learn about Spark SQL, Spark DataFrame, API, lazy execution, data sorting, data aggregation, and data transformation as well as will learn how to process data using Spark DataFrames and master data collection methods by distributed data processing.

A unique class of machine learning algorithms called artificial neural networks is based on how the human brain processes. ANN can learn from the data and produce outputs in the manner of forecasts or categorization, much like the neurons in our nervous system can do. The Deep Learning A-Z 2024: Neural Networks, AI & ChatGPT Prize online certification was created by data scientist Kirill Eremenko, AI entrepreneur Hadelin de Ponteves, and the Ligency Team, which is available on Udemy.

Deep Learning A-Z 2024: Neural Networks, AI & ChatGPT Prize online course is intended for learners interested in understanding the more advanced principles of deep learning and machine learning, including logistic regression and linear regression. With Deep Learning A-Z™: Hands-On Artificial Neural Networks online classes, learners will be provided with 22.5 hours of videos along with 38 articles and 5 downloadable resources which explain the functionalities of tools like TensorFlow and PyTorch as well as discuss the strategies involved with ANN intuition, CNN intuition, RNN intuition, and SOM intuition.

Neural networks, which help compensate for deep learning models, are typically built in a sequence of increasing the scale and abstraction. Neural networks are developed from a group of interconnected components that, like the synapses in the brain, can communicate with one another to function as interconnecting brain cells and understand and make decisions more like human beings. The Neural Networks in Python: Deep Learning for Beginners certification course is offered by Udemy and was designed by Start-Tech Academy, an institution of higher learning with over 160 locations worldwide.

Neural Networks in Python: Deep Learning for Beginners online course includes 9.5 hours of study material along with 4 articles, downloadable resources, practice exercises, assignments, and quizzes that revolve around topics like artificial neural networks, data processing, data manipulation, and statistical computation. Neural Networks in Python: Deep Learning for Beginners online classes also explain the functionalities of tools like Python, Keras, Tensorflow, Pandas, Numpy, and Seaborn to create neural networks for deep learning operations.

Dylan Curry Professional C++ & Python Developer designed the Comprehensive Software Development Using C++ certification course, which is available on Udemy and aims to provide a deep overview of the major software development ideas using the C++ programming language. The Comprehensive Software Development Using C++ online course by Udemy covers the fundamental principles and strategies of software development, as well as topics such as data structures and algorithms.

The Comprehensive Software Development Using C++ online classes are structured into three portions, where the first section introduces students to the fundamentals of C++ and computer science. The second section covers basic C++ programming principles, while the third section concentrates solely on data structures and algorithms, such as linked lists and trees. Participants will also be taught about topics like polymorphism, encapsulation, inheritance, virtual memory layout, virtual address, dynamic programming, recurrence reactions, dynamic memory, control structures, and many more.

TIBCO ActiveSpaces Training course is an online training programme offered by the online educational platform Mindmajix to help the students to have an in-depth knowledge of TIBCO ActiveSpaces.  The curriculum will walk the students through the concepts of Querying, ACID-compliant NoSQL Data Grid, entry-level production and whatnot. The candidates will also understand the f distributed in-memory data grid, database performance, caching systems and messaging software through practical training and real-time examples. 

TIBCO ActiveSpaces Training online course facilitates the learners, particularly Innovation Professionals, Programming Specialists, Carrier Enthusiasts etc, to take the course in the modes of live online instructor-led sessions, self-paced mode using the e-learning videos and corporate training. TIBCO ActiveSpaces Training certification will also render the candidates a deep understanding of TIBCO ActiveSpaces, BW Plug-in Capabilities, Browsing Data in Spaces, Types of Persistence and whatnot. At the end of the online training, the learners will be provided with premium features of lifetime access to the learning videos, mock interviews, quizzes, job assistance etc. 

Migrating data, applications, or other system components to a cloud computing environment is referred to as cloud migration. An organization can migrate to the cloud in a variety of methods. Harshit Srivastava - SME on Cloud, Bluemix has created the Cloud Migration on Microsoft AZURE certification course, which is made available by Udemy for candidates who are interested in learning about the cloud migration options available on Microsoft Azure to become certified cloud engineers.

Cloud Migration on Microsoft AZURE online training is a self-paced training program with hour-long video-based learning resources supported by articles and practice tests to provide candidates with a thorough understanding of the cloud migration activities on Azure. Cloud Migration on Microsoft AZURE online classes discusses topics like application development, application deployment, database migration, and site recovery as well as will learn about the different cloud migration techniques and services available on the Microsoft Azure cloud platform.

Cloud migration planning is a sophisticated approach that a company uses to migrate its current on-premises and/or co-located application workloads and the data they generate to the cloud. Cloud Migration - Build a Cloud migration Plan online certification is developed by eTech School - a digital learning platform that helps individuals in acquiring tech skills and is made available by Udemy for the individuals who want to acquire the skills to manage their infrastructure with the cloud.

Cloud Migration - Build a Cloud migration Plan online training is a short-term program that consists of 2.5 hours of digital lessons intended for individuals with an IT background or who have some technical expertise and want to comprehend the functionalities of cloud migration. Cloud Migration - Build a Cloud migration Plan online course, individuals will be taught about topics like cloud computing, application migration, migration services, migration plan, AWS management console as well as will be provided with an overview of how to create virtual machines and migrate existing services to the cloud with some practical interfaces.

The Open Infrastructure Foundation primarily offers one professional credential, Certified OpenStack Administrator, which was created for OpenStack administrators with a minimum of six months of experience in the field. Preparing to Certified OpenStack Administrator (COA) Exam online course is created by Kris Celmer - Cloud Expert & IT Infrastructure Professional, which is offered by Udemy for individuals who want to acquire the knowledge and expertise to become certified OpenStack Administrator (COA).

Preparing to Certified OpenStack Administrator (COA) Exam syllabus offers 19 hours of detailed video-based lessons supported by 30 downloadable study materials which provide a great introduction to OpenStack and cloud technologies as well as cover all the topics stated in the latest COA standardized criteria. Preparing for Certified OpenStack Administrator (COA) Exam online training teaches about various technologies including Vagrant, Keystone, Nova, Neutron, Cinder, Swift, Heat orchestration, image management, identity management, network management, and more.

OpenStack is a genuinely free cloud-based platform that is typically used in IaaS models in both public and private clouds, where users can access virtualized resources and other services. The software platform is made up of interconnected components that manage various hardware units of computing, memory, and networking resources spread throughout a data center from multiple providers. Ugur Oktay, an IT architect, developed and published the OpenStack Essentials certification course, which is offered by Udemy.

OpenStack Essentials online training comprises 6 hours of digital sessions, 8 downloadable resources, articles, and quizzes, and is intended for candidates who want to learn about OpenStack and its main services thoroughly from scratch. OpenStack Essentials online classes cover topics like cloud computing, lifecycle management, OpenStack cluster, troubleshooting, and command line interface as well as discuss how to operate and use OpenStack and gain the confidence to proceed onto the next steps.

An accessible cloud platform called OpenStack is intended to handle distributed computing, networking, and storage infrastructure in data centers. In general, OpenStack combines material assets into a single large pool and distributes virtual resources from this pool to clients who may then request them as needed through a customized portal or application programming interfaces. Naveen Joy, an expert in open source technologies like the OpenStack, Kubernetes, docker, AWS, and DevOps, designed the Fundamentals of the OpenStack Cloud with Hands-on Labs online certification, which is provided by Udemy.

Fundamentals of the OpenStack Cloud with Hands-on Labs online training is intended for students who wish to enhance their knowledge and comprehension of the methodologies used in cloud computing and OpenStack cloud to obtain their OpenStack administrator certification. Fundamentals of the OpenStack Cloud with Hands-on Labs online course involves more than 7.5 hours of prerecorded lessons supported by 3 downloadable resources, 2 practice tests, quizzes, and assignments that revolve around topics like floating IP address, security group, neutron virtual router, cloud controller, cloud nodes and more.

For creating and administering our customized IaaS cloud infrastructure, users can use the free and open-source software platform known as OpenStack. This cloud software platform consists of multiple services and modules that may design and manage physical groups of computing power, storage, and networking resources throughout a data center. The TetraNoodle Team and Manuj Aggarwal, a business strategist, author, inventor, and instructor, developed OpenStack: Public & Hybrid IaaS Cloud with OpenStack online certification, which is provided through Udemy.

OpenStack: Public & Hybrid IaaS Cloud with OpenStack online course contains more than 3.5 hours of in-depth video lectures aimed to instruct Learners about OpenStack and all of its elements and services. With the help of the OpenStack: Public & Hybrid IaaS Cloud with OpenStack online classes, learners will study public IaaS clouds, hybrid IaaS clouds, IaaS clusters, and OpenStack management as well as will also examine some data which shows how important these skills are for becoming software engineers or system administrators as well as how the popularity for these skills is rising.

The Projects in Hadoop and Big Data - Learn by Building Apps certification course was created by Eduonix Learning Solutions in collaboration with Eduonix Tech & Eduonix Support and is offered by Udemy, which is intended for students who want to use Hadoop and big data functionalities at work and who want to become proficient in the methods for implementing big data technologies.

Projects in Hadoop and Big Data - Learn by Building Apps online course is a short-term program that consists of 10 hours of lectures accompanied by an article and 19 downloadable resources with the goal of assisting the students in learning the techniques to develop Hadoop solutions that will address real-world issues. With the help of the Projects in Hadoop and Big Data - Learn by Building Apps online classes, students will learn about the theories and methods underlying big data analytics, application development, data science, real-time streaming, Hadoop analytics, data visualization, and much more.