List of Online Courses and Certifications

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. 

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.

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.

Hadoop is a free and open-source framework. Apache provides it to analyze and visualize huge amounts of data. Hadoop is implemented in Java and is presently used by companies like Facebook, Google, LinkedIn, and Twitter. Big Data and Hadoop for Beginners - with Hands-on Certification is a course developed by Andalib Ansari - Big Data Architect and made available by Udemy for learners who want to learn the fundamental and advanced concepts of big data and Hadoop.

Big Data and Hadoop for Beginners - with Hands-on online training is a 3-hour program that includes 2 articles and 7 downloadable resources to help learners comprehend the intricate architecture of Hadoop and its components, as well as guide them in the correct direction to begin working with Hadoop and its elements. Big Data and Hadoop for Beginners - with Hands-on online course covers big data analytics, HDFS, data pipelines, sample queries, data lakes, data sets, Hive, and Pig, as well as provides an understanding of the big data market, job roles, technology trends, Hadoop history, and Hadoop ecosystem.

Apache Hadoop is an open-source platform for storing and processing huge databases ranging in size from megabytes of data to petabytes. Instead of storing and processing data on a single large computer, Hadoop allows for the grouping of multiple computers to analyze huge datasets in parallel more rapidly. Big Data Hadoop - The Complete Course certification was developed by Telcoma Global, an organization that provides services to the Telecom & IT industries, and is offered by Udemy.

Big Data Hadoop - The Complete Course online training comprises more than 11.5 hours of digital lessons supported by two articles and is aimed at students seeking both basic and advanced skills in big data Hadoop. Big Data Hadoop - The Complete Course online classes covers the topics ranging from beginner to advanced level expertise for big data Hadoop certification, such as grid computing, data querying, data storage, data ingestion, and more.

Big Data is a massive collection of data that is growing rapidly over time. It is a data set that is so big and complicated that traditional data processing tools cannot store or process it proficiently. Big data is a type of information that is extremely massive in size. Data Engineering Master Course: Spark/Hadoop/Kafka/MongoDB online certification is developed by Navdeep Kaur Instructor & Founder of TechnoAvengers.com and is offered by Udemy.

Data Engineering Master Course: Spark/Hadoop/Kafka/MongoDB online course involves more than 11.5 hours of prerecorded lessons, 5 articles, and 21 downloadable resources which begin with an explanation of what the Hadoop distributed file system is along with the most prevalent Hadoop commands required to operate with Hadoop file system. Master Big Data - Apache Spark/Hadoop/Sqoop/Hive/Flume/Mongo online training will also cover topics such as data migration, data ingestion, CRUD operations, data frames, and the functionalities of tools such as MySQL, Cassandra, Sqoop, Flume, Hive, and MongoDB.

The Big Data and Hadoop for Absolute Beginners online certification have been created by Udemy IT Skills In Demand, an educational platform that teaches difficult skills in a straightforward manner, which is made available by Udemy for participants who want to transform themselves into big data engineers and Hadoop developers to advance in their careers by mastering the concepts and methods involved with big data and Hadoop from the ground up.

Big Data and Hadoop for Absolute Beginners online classes comprise more than 3.5 hours of digital learning resources that cover all the terms and concepts related to big data and Hadoop, including DataNode, NameNode, Secondary NameNode, TaskTracker, and JobTracker. The Big Data and Hadoop for Absolute Beginners online course explain the features of applications like HDFS, YARN, Amazon EC2, VMWare, and development environment as well as will learn about all the terms related to MapReduce programming and how to write programs using MapReduce.

The creation and coding of Hadoop applications is the responsibility of Hadoop developers. An open-source framework called Hadoop is used to store and manage big data applications that are run inside of cluster architectures. In essence, a Hadoop developer develops applications to maintain and manage big data for a business. Hadoop Developer In Real World online certification is developed by Hadoop In Real World - Expert Big Data Consultants and is offered by Udemy.

Hadoop Developer In Real World online course involves more than 20.5 hours of extensive learning materials along with 4 articles and 88 downloadable resources which are aimed at the participants who want to acquire the knowledge of the concepts involved with Hadoop and big data to become certified in Hadoop developers. Hadoop Developer In Real World online training covers topics like data analysis, cloud computing, and Cloudera manager and discusses the functionalities of various big data technologies including Flume, Sqoop, YARN, Kafka, AWS, Pig, Hive, and more.

Big data is a collection of organized, semi-organized, and unstructured data collected by businesses that can be extracted for knowledge and applied to advanced analytics tasks like predictive modeling and machine learning. Sundog Education, an educational platform that offers extremely advantageous skillsets in big data, data science, and machine learning in collaboration with Frank Kane, founder of Sundog Education, has created The Ultimate Hands-On Hadoop: Tame your Big Data certification course, which is made available through Udemy.

The Ultimate Hands-On Hadoop: Tame your Big Data online training is a self-paced program that provides more than 14.5 hours of video-based lessons accompanied by 8 articles and 2 downloadable resources which are intended for students who want to comprehend the broader Hadoop ecosystem and use it to store, analyze, and sell big data at scale. The Ultimate Hands-On Hadoop: Tame your Big Data online course covers various data engineering technologies including Cassandra, MongoDB, MySQL, Kafka, Spark, Hive, Flink, Storm, Presto, Hbase, ZooKeeper, Sqoop, Hue, Flume, Oozie, Mesos, Phoenix, Drill, and more.

Apache Spark is a strong and united analytics engine for handling large amounts of data. It involves Java, Scala, Python, and R APIs, as well as an optimized engine that supports general implementation graphs. Apache Spark with Scala - Hands On with Big Data online certification is designed by Sundog Education  - an educational platform that provides valuable professional skills in big data, data science, and machine learning in association with Frank Kane- Founder of Sundog Education, which is presented by Udemy.

Apache Spark with Scala - Hands On with Big Data online course offers 9 hours of hands-on lectures along with 3 articles which are designed to help candidates learn the technique of framing data analysis difficulties as spark problems using over 20 hands-on illustrations, and then scaling them up to operate on cloud computing services. Apache Spark with Scala - Hands On with Big Data online classes discuss topics like big data analysis, machine learning, data streaming, caching, partitioning, graph structures, structured data, data frames, Hadoop clusters, datasets, and more.

Developed by eBay Inc., Apache Kylin is a free software distributed analytics engine that supports multi-dimensional assessment (OLAP) on Hadoop and supports extremely large sets of data. Apache Kylin: Implementing OLAP on the Hadoop platform online certification is designed by Michael Enudi - Certified Instructor and is delivered by Udemy which is targetted at applicants who want to master the concepts and strategies related to the implementation of online analytical processing on the Hadoop platform using the functionalities of Apache Kylin.

Apache Kylin: Implementing OLAP on the Hadoop platform online training is a 6-hour education program accompanied by articles and case studies that will teach participants how to create and use Apache Kylin to query big data OLAP cubes. Apache Kylin: Implementing OLAP on the Hadoop platform online classes revolve around topics such as data streaming and big data analytics, as well as techniques for writing sophisticated aggregation queries of large datasets with low latency reaction times.

The Hadoop ecosystem is a framework or software that offers a variety of offerings to fix big data problems. Hadoop comprises Apache projects as well as a variety of commercial services and analytics. Learn Big Data: The Hadoop Ecosystem Masterclass certification course is designed by Edward Viaene - DevOps, Cloud & Big Data Specialist, and delivered by Udemy, which is intended for individuals who want to master big data concepts using Hadoop's functionalities.

Learn Big Data: The Hadoop Ecosystem Masterclass online classes incorporate 6 hours of video-based learning resources supported by articles and downloadable resources designed to provide individuals with foundational understanding to discuss real-world challenges and solutions with industry experts. Learn Big Data: The Hadoop Ecosystem Masterclass online training covers topics such as Pig, Hive, Spark, Hbase, HDFS, Hadoop stack, Hadoop security, high availability, query optimization, and how to utilize the commercial software in the big data industry presently, using both batch and real-time processing.

Big data organize large datasets gathered from IoT devices, such as traffic conditions and residential efficiency information, into comprehensible datasets that inform businesses on how to optimize their processes. Implied Concepts AI - Authorized Academy & Consultancy designed the Learn Big-Data with PySpark, Spark Streaming, Spark ML and Kafka certification course, which is presented by Udemy for learners who want to master the concepts and strategies associated with big data and IoT.

Learn Big-Data with PySpark, Spark Streaming, Spark ML and Kafka online classes encompass more than 3.5 hours of video-based lessons supported by articles and 15 downloadable resources which focus on teaching learners about IoT and big data using PySpark, Spark streaming, and Kafka. Learn Big-Data-IoT with PySpark, Spark Streaming, and Kafka online training cover topics like big data preprocessing, and data ingestion as well as cluster-based cloud computing with AWS EMR, Azure HDInsight, and GCP DataProc and Spark streaming with IoT data pipelines utilizing Kafka.

Apache Spark is an open-source distributed software framework and collection of library services for real-time, massive data processing, and PySpark is its Python API. Learning PySpark will help individuals build more configurable pipelines and analyses. The Hands-On PySpark for Big Data Analysis online certification was developed by Packt Publishing and is made available by Udemy, an education platform that offers programs to help participants advance their technical knowledge.

Hands-On PySpark for Big Data Analysis online course is a short-term program that involves 3.5 hours of learning material and 26 downloadable resources, which are intended for participants who want to learn the methods for analyzing big data sets and building big data platforms for machine learning models and business intelligence applications. Hands-On PySpark for Big Data Analysis online training discusses topics like data wrangling, data analysis, data cleaning, and structured data operations as well as explains the functionalities of Spark notebooks, Spark SQL, and resilient distributed datasets.

Big data pipelines are data pipelines that are built to facilitate one or more of the three characteristics of big data. The speed of big data makes it attractive to create big data streaming data pipelines. Data can be gathered and handled in real time, allowing for action to be taken. EBISYS R&D - Big Data Engineering and Consulting created the Building Big Data Pipelines with PySpark + MongoDB + Bokeh certification course, which is available on Udemy.

Building Big Data Pipelines with PySpark + MongoDB + Bokeh online course is a self-paced program that is aimed at students who want to master the skills and strategies useful for creating data pipelines using the core functionalities of tools like PySpark, Bokeh, and MongoDB. Building Big Data Pipelines with PySpark + MongoDB + Bokeh online classes cover topics like data preprocessing, data loading, data extraction, data manipulation, data transformation, and data visualization as well as explain the techniques to create machine learning scripts, PySpark ETL scripts, and dashboard server.

Apache Kafka is a distributed information store that is designed to accept and handle streaming information. This continuous inflow of data requires a streaming platform that can handle it progressively and sequentially. Apache Kafka A-Z with Hands-on Learning online certification is developed by Learnkart Technology Pvt Ltd - a virtual platform that offers a variety of courses, which is delivered by Udemy.

Apache Kafka A-Z with Hands-on Learning online course is intended for individuals who want to fully comprehend Apache Kafka so they can include it in their solutions frameworks. With more than 9.5 hours of digital lessons and 25 downloadable resources that follow industry best practices, Apache Kafka A-Z with Hands-on Learning online classes aims to help individuals design Apache Kafka and teach them how Apache Kafka is used to store and processing numerous uninterrupted streams of information more quickly and effectively.

The distributed architecture of Apache Kafka allows it to handle incoming information of greater quantity and complexity. As an outcome, Kafka is extremely scalable with no negative effects on unavailability. Anatolii Stepaniuk, a Senior Software Developer, created the Apache Kafka Architecture certification course, which Udemy is offering to participants who want to learn more about the advanced concepts and Kafka-related approaches to be prepared for Kafka job interviews.

Apache Kafka Architecture online classes offer more than 2.5 hours of digital lectures accompanied by 24 downloadable learning resources which cover topics like data replication, batching, compression, static membership, log compaction, rebalance protocols, and delete cleanup policies, consumer group abstraction, and more. By the end of the Apache Kafka Architecture online course, participants will have acquired the knowledge and abilities necessary to plan and create cutting-edge, scalable distributed systems utilizing Kafka.

A user library called Kafka Streams has been used to create applications and microservices containing input and output data maintained in an Apache Kafka cluster. The advantages of Kafka's server-side cluster infrastructure are combined with the ease of developing and deploying regular Java and Scala apps with Kafka Streams. Apache Kafka Series - Kafka Streams for Data Processing online certification is created by Conduktor Kafkademy - Apache Kafka enterprise platform to empower your teams and Stephane Maarek | AWS Certified Cloud Practitioner, Developer, Solutions Architect & Instructor, which is offered by Udemy.

Apache Kafka Series - Kafka Streams for Data Processing online course is aimed at learners who want to advance their knowledge on how to create, bundle, deploy and use Kafka Streams applications so they may serve as Java programmers and DevOps architects. With the Apache Kafka Series - Kafka Streams for Data Processing online training, learners will receive 5 hours of in-depth videos, 5 articles, and downloadable study materials that cover how to use Kafka streams the right way, as well as its APIs, inner workings, and concepts like exactly-once semantics.

Apache Kafka for Developers using Spring Boot[LatestEdition] online certification is designed by Pragmatic Code School - Technology Enthusiast & Online Instructor and is delivered by Udemy, which is geared toward Java programmers and Spring developers who want to develop enterprise-standard Kafka client applications using characteristics of Spring Boot. The goal of the Apache Kafka for Developers using Spring Boot[LatestEdition] online course is to provide students with a thorough understanding of how to code and develop Kafka clients using SpringBoot and the Kafka producer and consumer APIs.

Apache Kafka for Developers using Spring Boot[LatestEdition] online training incorporates 17 hours of videos, 104 downloadable resources, 2 articles, and assignments to offer students a theoretical understanding of Apache Kafka utilizing Spring Boot as well as hands-on programming skills. Additionally, utilizing embedded Kafka and Junit, this course covers the strategies for writing integration tests and unit tests as well as several methods for generating messages for Kafka.

Kafka fundamentals for java developers certification course is created by Bharath Thippireddy - IT Architect & Instructor and is presented by Udemy, which is developed for the applicants who want to gain a foundational knowledge of the principles and concepts associated with Apache Kafka. Kafka fundamentals for java developers online training focused on assisting the applicants in acquiring the expertise to create advanced streaming applications.

Kafka fundamentals for java developers online classes are designed for Java developers who want to learn the concepts involved with Apache Kafka and utilize it in their projects to develop streaming applications. With this course, applicants will be provided with 5 hours of pre recorded lectures supported by 6 downloadable resources, articles, and assignments revolving around topics like Avro, Java, Kafka architecture, rebalancing, confluent schema registry, serializers, deserializers, consumer groups, and more.

By developing on the Kafka producer and consumer frameworks and utilizing Kafka's intrinsic characteristics to provide data parallelism, centralized coordination, high availability, and ease of implementation, Kafka Streams streamlines application development by employing Apache to create scalable applications. Build scalable applications with Apache Kafka online certification is developed by Packt Publishing - an online educational portal that provides technological courses and is offered by Udemy.

Build scalable applications with Apache Kafka online course is designed for individuals who want to learn how to use Apache Kafka's full potential for creating scalable event-driven applications. Build Scalable Applications with Apache Kafka online classes consists of a 1-hour in-depth tutorial backed by downloadable materials that explain the principles of data segmentation, and processing flow, and teaches Kafka's replication and fault tolerance. 

Apache Kafka is used for developing authentic stream processing pipelines. A streaming application is a software program that consumes streams of data, and an information pipeline consistently analyzes and transfers data from one system to another. The Complete Apache Kafka course for beginners certification is created by Tutorial Drive - Software Professional, which is made available by Udemy for applicants who want to master the skills to work with Kafka servers.

The Complete Apache Kafka course for beginners online training aims to illustrate fundamental messaging system principles, the operation and maintenance of an Apache Kafka server, and the implementation of a Kafka cluster in single and multi-node configurations. The Complete Apache Kafka course for beginners online classes includes 2.5 hours of virtual lectures supported by 23 downloadable study materials which discuss topics like producer API, consumer API, and Kafka cluster as well as discusses various strategies for integration of Kafka with big data technologies. 

Apache NiFi is an integrated information logistic support platform for computerizing data movement among distributed components. It offers actual control, making it simple to handle data movement between any origin and any destination. Stephane Maarek - AWS Certified Cloud Practitioner, Kafka Expert, Solutions Architect & Developer created the Introduction to Apache NiFi | Cloudera DataFlow - HDF 2.0 online certification, which is available through Udemy.

Introduction to Apache NiFi | Cloudera DataFlow - HDF 2.0 online classes contain 2 hours of prerecorded lessons supported by 3 articles and downloadable resources that are aimed at applicants who want to learn about the foundations of Apache NiFi technology. With the Introduction to Apache NiFi | Cloudera DataFlow - HDF 2.0 online course, applicants will learn about Cloudera dataflow, data streaming, and HDF, as well as how to establish their connectors, processors, and how to interpret their FlowFiles to make the most of what NiFi has to provide.