List of Online Courses and Certifications

Oracle Apps R12 Technical is an Enterprise Resource Package that was established under Generally Accepted Accounting Principles (GAAP). The Oracle Application contains Oracle enterprise applications or development tools. The OracleAppsTechnical R12 Training(Beginner to Expert) online certification was created by Chandramohan Reddy - Oracle Cloud ERP Instructor and is offered by Udemy, which is designed for business professionals and beginners who want to advance in their professional careers by transforming themselves into the Oracle EBS Technical specialists.

OracleAppsTechnical R12 Training(Beginner to Expert) online course is a bundle of comprehensive programs that serve organizations with their functions, allowing participants to advance their technical abilities and become Oracle techno-functional consultants. OracleAppsTechnical R12 Training(Beginner to Expert) online classes include more than 29 hours of study materials and 40 downloadable resources covering EBS, RICEW, finance technical, SCM technical, PL/SQL, component development, component customization, and BI Publisher, XML publisher, and more.

The importance of Data analysis has amplified in the last few years. The Advance Data Engineering training course will present you with the knowledge you require to evaluate data-sets with great expertise.

The Advance Data Engineering online course is self-paced. You will have access to industry-specific and industry-relevant study material. Furthermore, you will be groomed by industry experts in the art of Big Data Tools such as Apache NIFI, MongoDB, SparkStreaming, KAFKA, SparkRDD, HUE, SparkSQL, Python, FLUME, and DataFrame.

The practical projects will put you into a real-life simulation. There will also be after course engagement sessions and dedicated discussion forums to lay your doubts to rest. Furthermore, you will receive job updates, along with reliable career management and resume building aids. Additionally, you will also get unrestricted access to the LMS for a full year. 

Incidentally, the EduPristine Advance Data Engineering curriculum will provide you with ample opportunities to showcase your skills as a data engineer. Finally, you will be receiving the Advance Data Engineering Certification after completing this programme.

Data Engineering on Google Cloud Platform online certification was developed by Cloud Resident, an education platform that offers courses in the cloud, data engineering, analytics, and architecture, and is offered by Udemy, which is intended for candidates looking for a thorough training program that could help them master the concepts and methods associated with Google Cloud Platform (GPC) for data engineering.

Data Engineering on Google Cloud Platform online classes is a short-term program that contains 10 hours of hands-on study materials supported by 42 downloadable resources which aim to offer the most useful answers to real-world scenarios for data engineering on the cloud. With Data Engineering on Google Cloud Platform online training, candidates will also be taught about strategies involved with PySpark structured streaming, real-time event data streaming, event time data processing, automation, data transformation, data ingestion, and more.

Data engineering is the practice of developing large-scale data collection, storage, and analysis systems. Applications for data engineering can be found in almost every industry. Data Engineering - ETL, Web Scraping, Big Data, SQL, Power BI certification course is developed by Bluelime Learning Solutions and is made available by Udemy for learners who want to acquire the skills and expertise to interact with various types of data.

Data Engineering - ETL, Web Scraping, Big Data, SQL, Power BI online training is a self-paced program that involves more than 12.5 hours of video-based lessons, 11 downloadable learning resources, and articles to assist students in understanding the concepts related to web-scraping, big data, Power BI, SQL, and ETL. Data Engineering - ETL, Web Scraping, Big Data, SQL, Power BI online courses evolve around topics like data modeling, data transformation, data visualization, data extraction, data cleaning, database interaction, and more.

Data engineering is a discipline that requires skills that fall somewhere between software development and programming on the one hand and advanced analytics skills such as those required by data scientists on the other hand. Durga Viswanatha Raju Gadiraju - CEO at ITVersity & CTO at Analytiqs, Inc, Asasri Manthena - Marketing & Sales Manager at ITVersity, Inc, and Perraju Vegiraju - Certified Instructor designed the Data Engineering using AWS Data Analytics online certification, which is delivered by Udemy.

Data Engineering using AWS Data Analytics online training incorporates more than 25.5 hours of prerecorded lessons, 18 downloadable resources, and 112 articles for applicants who want to master AWS Analytics services for data engineering activities. Data Engineering using AWS Data Analytics online classes will walk applicants through the process of building data engineering pipelines using the AWS data analytics stack and will explain concepts such as data pipelines, web server streaming, data processing, CRUD operations, and more.

Organizations generally use ETL as a data and AI solution to improve the functionality and performance of their ETL pipeline projects. To help improve business outcomes, Databricks can be used to develop, test, and deploy machine learning and analytics applications. Asasri Manthena, Marketing & Sales Manager at ITVersity, Inc., Durga Viswanatha Raju Gadiraju, CEO at ITVersity & CTO at Analytiqs, Inc., and Asasri Gadiraju created the Data Engineering using Databricks on AWS and Azure certification course, which is offered by Udemy.

Data Engineering using Databricks on AWS and Azure online course contains 18.5 hours of comprehensive video lectures along with 31 articles and 55 downloadable resources that are intended for students who want to learn about data engineering using Databricks. With Data Engineering using Databricks on AWS and Azure online training, students will be taught about topics like Azure CLI, Databricks CLI, application development, application development life cycle, spark structured streaming, incremental file processing, and more.

Azure data engineers incorporate, modify, and strengthen data from various structured and unstructured data system applications into structures suitable for constructing analytics solutions. Wadson Guimatsa - Data Engineer created the Data Engineering on Microsoft Azure: The Definitive Guide certification course, which is presented by Udemy and is intended for individuals who want to learn how to design data models, create data pipelines, and navigate large datasets on the Azure platform.

Data Engineering on Microsoft Azure: The Definitive Guide online course contains 12 hours of video-based lessons along with 23 downloadable study materials and 4 articles that focus on assisting individuals in the development of data warehouses, data lakes, and lakehouse architecture. Data Engineering on Microsoft Azure: The Definitive Guide online classes cover topics such as relational databases, data transformation, data analysis, and database query, as well as how to create a contemporary data and analytics platform using the extensive features of Azure data services.

Data Engineering for Beginner using Google Cloud & Python online certification was developed by Timotius Pamungkas - Java Software Engineer & Architect and is available on Udemy, which is intended for applicants looking for a comprehensive training program that will assist them in acquiring knowledge of the foundational concepts and strategies associated with Google Cloud Platform (GPC) and Python programming for data engineering activities to become professionals.

Data Engineering for Beginner using Google Cloud & Python online course involves 8 hours of comprehensive lectures supported by 2 articles and downloadable resources, that are designed to provide applicants with an overview of the fundamentals of data engineering. Data Engineering for Beginner using Google Cloud & Python online training discusses strategies and techniques associated with topics like the relational database, database modeling, data lake, NoSQL database, and data warehousing as well as teaches about the tools like Hadoop, Pandas, Spark, Python, PostgreSQL, and more.

Data integration from a variety of sources is made possible by the Microsoft cloud service Azure Data Factory, which is part of the Azure platform. When creating combination extract-transform-load (ETL), extract-load-transform (ELT), and data integration pipelines, Azure Data Factory is the optimal solution. David Charles Academy - Big Data Engineer & Consultant at ABN AMRO, developed the Azure Data Factory for Beginners - Build Data Ingestion online certification, which is provided by Udemy.

Azure Data Factory for Beginners - Build Data Ingestion online course involves more than 12.5 hours of lectures supported by 6 downloadable resources, which is intended for those who want to learn data engineering methods for creating metadata-driven frameworks using Azure data engineering tools like Azure data factory, Azure SQL, and Azure DevOps. Azure Data Factory for Beginners - Build Data Ingestion online classes also discusses the concepts and strategies involved with email notifications, event-driven ingestion, version management, data lake, and more. 

Python for data engineering primarily consists of data manipulation such as restructuring, integrating, and connecting widely divergent sources, as well as comparatively tiny ETL, API interaction, and automation. The Academy of Computing & Artificial Intelligence designed the Data Engineering with Python online certification, which Udemy presents for applicants who want to learn how to develop effective data architecture, streamline data processing, and maintain large-scale data systems.

Data Engineering with Python online classes offers 14 hours of comprehensive lectures supported by downloadable resources and 3 articles that aims to help the applicants to improve their python programming skills to move into domains such as data science, machine learning, and artificial intelligence. Data Engineering with Python online course discusses supervised learning, unsupervised learning, clustering, logistic regression, linear regressions, random forest, trees, naive Bayes, and more.

AWS data engineering guarantees fast constantly questioning to operate data analytics on massive amounts of information and feed data to various business intelligence tools, dashboards, and other implementations. Tushar Bhalla - Data Solutions Architect designed the Learn AWS Data Engineering certification course, which is delivered by Udemy for learners who want to gain both basic and advanced knowledge of the concepts associated with data engineering on the AWS platform.

Learn AWS Data Engineering online course is a short-term program that incorporates 1.5 hours of prerecorded learning resources to provide learners with a detailed understanding of the strategies involved to ingest data into AWS and build data warehouses. Learn AWS Data Engineering online classes cover data engineering and ETL framework as well as explain the methodologies associated with AWS Athena, AWS S3, AWS Kinesis, AWS Lambda, Amazon RDS, Amazon SQS, and more.

Spark Structured Streaming is a Spark SQL-based stream processing engine that processes data incrementally and upgrades the official outcome as new streaming data is received. Durga Viswanatha Raju Gadiraju - CEO at ITVersity and CTO at Analytiqs, Inc - created the Data Engineering using Kafka and Spark Structured Streaming online certification, which is offered by Udemy for candidates who want to master the concepts and strategies involved with data engineering using Apache Kafka and Spark structured streaming features.

Data Engineering using Kafka and Spark Structured Streaming online classes incorporates more than 9.5 hours of detailed learning resources along with 3 articles that help candidates learn about strategies for building streaming pipelines by integrating Kafka and Spark structured streaming. Data Engineering using Kafka and Spark Structured Streaming online training walks candidates through various data engineering topics such as data processing, incremental data processing, and data ingestion, as well as features of programs such as Hadoop, GCP, Hive, YARN, HDFS, and others.

BigQuery, a data warehouse product from Google, allows its users to store and search through terabytes or even petabytes of data without having to set up or maintain any infrastructure. Timotius Pamungkas, a software architect and Java software engineer, developed the Data Engineering with Google BigQuery & Google Cloud certification course, which is made available by Udemy to students who are interested in learning data engineering skills and knowledge to become qualified software engineers, data analysts, and data engineers.

Data Engineering with Google BigQuery & Google Cloud online training is a self-paced program that involves more than 6.5 hours of video-based lectures supported by 2 articles that aim to help the students gain the knowledge to understand how the Google cloud platform could integrate into the larger data and application architecture. With Data Engineering with Google BigQuery & Google Cloud online course, students will also be taught about topics like data sheets, data cleaning, data loading, data visualization, data preparation, data studio, file databases, and more.

The Apache Spark 3.0.0 release begins the 3. x series. Apache Spark 3.0 expands on many of the technological advances made in Spark 2. x, introducing fresh concepts while also continuing long-term projects in development. The Apache Spark 3 for Data Engineering & Analytics with Python certification course was designed by David Charles Academy - Senior Big Data Engineer & Consultant at ABN AMRO and is available on Udemy for individuals interested in learning how to use Apache Spark for data engineering and data analytics with Python.

Apache Spark 3 for Data Engineering & Analytics with Python online classes incorporates more than 8 hours of prerecorded lectures supported by 12 downloadable resources and 4 articles aimed at providing individuals with a deeper understanding of managing data across a cluster using Spark. The Apache Spark 3 for Data Engineering & Analytics with Python online course covers data analytics, Spark transformation, Spark execution, data engineering, and data visualization, as well as analytical processing strategies deployed across significant data clusters.

The document foundation's LibreOffice is an open-source office productivity suite (TDF). openoffice.org, an open-source StarOffice, forked it in 2010. Word processing, spreadsheets, slideshows, drawings, databases, and mathematical formulas are all part of the LibreOffice suite. It's 115 languages. TDF doesn't support LibreOffice, but ecosystem companies offer enterprise editions. LibreOffice supports most major office suites, including Microsoft Office, through import and export filters. Its native file format is OpenDocument. LibreOffice supports Microsoft Windows, macOS, Linux, and many other platforms through community builds. Most Linux distributions come with LibreOffice. Learn LibreOffice now, start using the FREE suite: Calc certification is made available by Udemy to candidates who want to utilize styles to create effective and professional-looking documents.

Learn LibreOffice now, start using the FREE suite: Calc online training includes 5.5 hours of video, six articles, five downloadable resources, and a digital certificate upon course completion.

Learn LibreOffice now, start using the FREE suite: Calc online classes consist of versions of LibreOffice, cal, the spreadsheet, practice functions, and migrating from Microsoft office.

Free open-source office suite LibreOffice. Sun Microsystems' OpenOffice was forked. It contains office applications, word, spreadsheets, and presentation programs. Windows, macOS, and Linux support it. It supports OpenDocument and most office suite file formats. LibreOffice supports most major office suites, including Microsoft Office, through import and export filters. Its native file format is OpenDocument. It is the free and open-source office suite that is being worked on the most. In 2015, it was being worked on about 50 times as much as Apache OpenOffice, the other major OpenOffice.org descendant. LibreOffice is an online office suite that includes writer, calc, and impress. It also works as an upstream for commercial projects like Collabora Online. Learn LibreOffice now, start using the FREE suite: Writer certification is made available by Udemy to candidates who want to learn how to use a writer to create professional-looking letters, books, resumes, and theses.

 Learn LibreOffice now, start using the FREE suite: Writer online training includes 5.5 hours of video, three articles, and a digital certificate upon course completion.

 Learn LibreOffice now, start using the FREE suite: Writer online classes consist of versions of LibreOffice, a simple letter, working in style, formatting, graphics, mail-merge, migrating from Microsoft office, and what's new in the writer.

The writer has all the modern word processing and desktop publishing features you need. It can create books with contents, diagrams, indexes, and more, but it's simple enough for a memo. The writer enhances your message, letting you focus. LibreOffice documents look better than ever. Individuals can apply fonts from their computer and set styles for almost every part of their document. AutoCorrect can catch typos and spelling errors instantly. AutoCorrect spell check as you type and the writer supports multilingual documents. LibreOffice Writer Powerful Free Word Processing Alternative certification is made available by Udemy to candidates who want to utilize the free word processing software LibreOffice Writer to create a variety of documents.

LibreOffice Writer Powerful Free Word Processing Alternative online training includes six hours of video, 18 resources that can be downloaded and a virtual completion certificate.

LibreOffice Writer Powerful Free Word Processing Alternative online classes consist of include the latest in the writer, a simple letter, functioning in style, typesetting, illustrations, mail-merge, migration from Microsoft Office, and more.

Writer, Calc, Impress, Draw, Math, and Base are just some of the applications included in LibreOffice, a free, robust, Open Source personal productivity suite for Windows, Mac OS X, and Linux. Word processing, spreadsheet creation and editing, presentation creation and editing, diagram and drawing creation and editing, database management, and formula composition are all covered in the LibreOffice suite. Over 115 language options are provided. Open Document Format for Office Applications (ODF), or OpenDocument, is the native file format used by LibreOffice to save documents for all of its applications. Learn LibreOffice now, start using the FREE suite: Impress certification is made available by Udemy to candidates who want to learn to create effective slides to support a presentation.

Learn LibreOffice now, start using the FREE suite: Impress online training includes four hours of video, four articles, and a digital certificate upon course completion.

Learn LibreOffice now, start using the FREE suite: Impress online classes consisting of versions of LibreOffice, the presentation app, layouts, design, working with shapes, speed up LibreOffice, and notebook bar.

LibreOffice Technology is the culmination of ten years of dedicated work on the open-source code of the software by developers, software engineers, security experts, interface and user experience specialists, and others under the guidance of the engineering steering committee. This process was undertaken with the end goal of developing a unified software platform for personal productivity across desktop, mobile, and cloud platforms; this is the only method that can give users access to interoperability features that allow for the transparent sharing of all content, as well as freedom from reliance on any one commercial vendor or vendor lock-in strategies.. LibreOffice Base for Beginners certification is provided by Udemy for students engaged in mastering LibreOffice's foundational skills.

LibreOffice Base for Beginners online training comprises 18 online resources, six hours of video, and a digital completion certificate.

LibreOffice Base for Beginners online classes consists of a simple letter, working in style, formatting, graphics, mail merge, migrating from Microsoft office, and new features in the writer are all part of the LibreOffice suite.

After splitting from OpenOffice.org in 2010, LibreOffice Calc underwent a significant overhaul of its external reference handling in order to fix numerous bugs in formula calculations involving external references and to improve data caching performance, particularly when referencing large data ranges. Calc is able to open and save the majority of Microsoft Excel spreadsheets. Additionally, Calc can save spreadsheets as PDF files.

As with the rest of the LibreOffice suite, Calc is available for Linux, macOS, Microsoft Windows, and FreeBSD, among others. Under the Mozilla public license, Calc is a free and open-source application. Libre Office Calc Basics Course - Free Spread Sheet Software certification is made available by Udemy to candidates who want to learn the cells, sheets, and spreadsheet documents in Libre Office.

Libre Office Calc Basics Course - Free Spread Sheet Software online training includes 1.5 hours of video and a digital certificate upon course completion.

Libre Office Calc Basics Course - Free Spread Sheet Software online classes consist of identifying cells, formatting, arithmetic calculation, data display, multi spreadsheets, and saving files

Windows is a collection of proprietary graphical operating system families that Microsoft has developed and marketed. Each family serves a particular segment of the computing industry. Windows NT for consumers, Windows Server for servers, and Windows IoT for embedded systems are some examples. Windows 9x, Windows Mobile and Windows Phone are defunct Windows families. In response to the increasing demand for graphical user interfaces, the first version of Windows was released on November 20, 1985, as a graphical operating system shell for MS-DOS. GNU Essentials: LibreOffice Writer for Windows certification is made available by Udemy to candidates who want to learn how LibreOffice writer works, and how to format in LibreOffice.

GNU Essentials: LibreOffice Writer for Windows online training includes 2.5 hours of video, nine articles, one downloadable resource, and a digital certificate upon course completion.

GNU Essentials: LibreOffice Writer for Windows online classes consist of feature tools, text basics, track changes, formatting, styles, language tools, output, images, and tables.

The R Programming - A Practical Approach course enables learners to become proficient in dealing with concrete datasets. Analysis of data is one of the highest valued skills employability, which makes this course unique. Candidates will get hands-on data analysis experience. This training programme carries a 67 credit score.

The R Programming certification training ensures that the learners have a detailed understanding of the various fundamentals of the R language. This includes using data sets and designing analysis charts like pie charts, bar graphs, histograms, 3D scatter plots and box plots. As this is a paid programme, candidates can access the course content after paying the programme fee. The course fee provides them with access to the course content for six weeks.  

Moreover, the R Programming online certification allows the students to explore various applications of the R language. They will learn how it can best be applied in various domains like machine learning, statistics, and data analysis. The course welcomes all students, faculties, and working professionals of the IT/CS domain.

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.