List of Online Courses and Certifications

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.

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.

One of the best libraries for deep learning implementation is TensorFlow. TensorFlow is a software library that uses data flow graphs to compute mathematical expressions numerically. The Deep Learning with TensorFlow certification course was created by Packt Publishing, a tech-focused educational platform, and is made available by Udemy, which is targeted at learners who want to learn how to use TensorFlow to explore deep learning's potential.

Deep Learning with TensorFlow online course involves 2 hours of comprehensive video-based learning resources that are targeted at learners who want to become certified data scientists so they can perform machine learning and regularly work with neural networks. Deep Learning with TensorFlow online classes discusses topics like neural networks, image recognition, logistic regression, convoluted neural networks, and recurrent neural networks as well as discuss multiple significant deep learning algorithms covered, as well as numerous examples that make use of deep neural networks.

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.

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.

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.

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.

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.

Data Analytics with Pyspark online certification was created by Wajahatullah Khan - Data Architect at Afiniti and is available on Udemy for applicants who want to learn the functionalities and concepts involved with PySpark for data analytics to build more scalable analyses and data pipelines to transform themselves into professional data engineers and data analysts and advance in their professional careers.

Data Analytics with Pyspark online classes by Udemy begins with an introduction to PySpark's ability to analyze large datasets and techniques for interacting with Spark from Python and connecting to Spark on Windows as individual computers. The Data Analytics with Pyspark online course includes 2 hours of learning materials, articles, downloadable resources, and quizzes on topics such as PySpark DataFrames, PySpark SQL, data extraction, data visualization, resilient distributed datasets, and will acquire the skills to perform better data analytics and use PySpark to easily analyze large datasets at scale in their organizations.

Google Colaboratory is a free, in-browser interactive programming environment that supplies deep learning researchers and engineers with an immersive and simple platform to collaborate on their data science projects. Google Colab allows anyone to compose and run arbitrary Python scripts in the browser, making it ideal for machine learning and data analysis. Minerva Singh - Instructor & Data Scientist developed the Complete PySpark & Google Colab Primer For Data Science certification course, which is available on Udemy.

Complete PySpark & Google Colab Primer For Data Science online training incorporates 4.5 hours of comprehensive lecture accompanied by articles and downloadable resources and is intended for individuals who want to use the capabilities of Google Colab for working with PySpark and Python-based AI modeling. The Complete PySpark & Google Colab Primer For Data Science online course discusses the methodologies involved with data processing, statistical analysis, correlation analysis, statistical modeling, and much 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.

A mobile application for iOS devices, such as gadgets, business digital assistants, or iPhones, is developed using the act or process known as iOS mobile development. iOS 11 Mobile Development and Certification - iPhone & iPad online course is created by Vivian Aranha - Mobile Solutions Architect & Professional Trainer, which is made available through Udemy for learners who want to learn to program and specifically build mobile applications for the iOS platform.

iOS 11 Mobile Development and Certification - iPhone & iPad online training contains more than 5.5 hours of video-based learning materials, with a particular emphasis on imparting knowledge of the fundamentals and more complex concepts of iOS application development. The iOS 11 Mobile Development and Certification - iPhone & iPad syllabus begins with the fundamentals and progresses gradually through programming and development strategy as well as covers topics like iOS development, application lifecycles, memory management, debugging, and a host of other subjects.

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.

Aaron Caines, an iOS 12, Swift 4.2, Objective-C & Xcode 10 Developer, created the iOS 10 and Xcode 8 - Complete Swift 3 & Objective-C Course online certification, which is provided by Udemy for candidates who want to master the skills to create over 20 real iOS 10 applications throughout the programme, ranging from entertaining and simple games to potent utility apps using the native functions of iOS 10 devices to help them comprehend the method of developing applications within Swift.

iOS 10 and Xcode 8 - Complete Swift 3 & Objective-C Course online training incorporates 45 hours of digital lectures accompanied by 251 downloadable resources aimed at assisting applicants in acquiring the knowledge required to begin their new career in iOS 10 development. With iOS 10 and Xcode 8 - Complete Swift 3 & Objective-C Course online classes, applicants will be taught about concepts and strategies involved with application development, and game development using the functionalities of programs like Objective C, Swift 3, iOS 10, and Xcode.

User experience and user interface are combined in application design. UX concentrates on the actual functionality and usability of the app, while UI tends to the overall style of the app, including the color schemes, font styles, and broad sense of appearance and feel. Gwinyai Nyatsoka - Entrepreneur, App, Game & Web Developer designed the iOS 12 & Swift 5 - App Design, UI/UX plus Development certification course, which is offered by Udemy.

iOS 12 & Swift 5 - App Design, UI/UX plus Development online course is targeted at the students who want to learn about the entertaining features of iOS 1 and Swift 5 so they can create unique applications that also provide a fantastic user experience. iOS 12 & Swift 5 - App Design, UI/UX plus Development online classes seek to help the students master app design, UI/UX, and iOS app development as well as cover the concepts associated with design, motion design, app design, usability testing, pagination, animation, version control, prototyping, 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.

iOS 12: Learn to Code & Build Real iOS 12 Apps in Swift 4.2 online certification is created by Caleb Stultz - Developer & Certified Teacher in partnership with Jonathan Burgoyne - iOS & Android Developer and Teacher, which is offered by Udemy intended for candidates who want to learn the principles and techniques of iOS development to create real iOS applications using Swift 4.2.

iOS 12: Learn to Code & Build Real iOS 12 Apps in Swift 4.2 online course is a detailed programme made up of 51 hours of prerecorded lessons, 26 articles, and 44 downloadable resources recorded using Xcode 10's most recent version on the iOS platform. The iOS 12: Learn to Code & Build Real iOS 12 Apps in Swift 4.2 online classes explain the functionalities associated with application development, iOS development, augmented reality, and model video controller as well as cover the techniques used to produce 15+ applications that students can demonstrate to prospective employers.

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.

The 10 Day iPhone App Bootcamp - NEW iOS 12 and Xcode 10 certification course is created by iOS, Android, Django, Python, Mobile & Web Development expert Nick Walter and made available by Udemy for those looking for an online course that could help them master the knowledge and expertise in application development for iOS devices like the iPhone to become professional iOS developers.

The 10 Day iPhone App Bootcamp - NEW iOS 12 and Xcode 10 online training consists of 12 hours of online lectures, 10 articles, and 9 downloadable resources, and will equip individuals with all the knowledge and abilities required to develop iOS applications and submit them to the app store in just 10 days. The 10 Day iPhone App Bootcamp - NEW iOS 12 and Xcode 10 online classes focus on topics like application development and machine learning, as well as how to make apps like joke banks, photo-based collectors, to-do lists, and Bitcoin price trackers using tools like Swift 4 and Xcode 10.

An early diabetes diagnosis can result in better management of the condition. The early diagnosis of the disease is frequently accomplished using data mining techniques. The relationship between the various attributes is also described in this research paper, which uses significant attributes to predict diabetes. The School of Disruptive Innovation, a company that develops innovative learning solutions for the digital age, created the Data Science: Hands-on Diabetes Prediction with Pyspark MLlib certification course, which is made available by Udemy.

Data Science: Hands-on Diabetes Prediction with Pyspark MLlib online course is an hour-long program that teaches students all the methods and ideas necessary to create, train, experiment, and assess machine learning models capable of identifying diabetes using logistic regression. Data Science: Hands-on Diabetes Prediction with Pyspark MLlib online classes include a variety of carefully crafted and designed tasks centered around data cleaning, diabetes datasets, logistic regression, performance evaluation, and Spark MLlib.

The iOS mobile operating system, created by Apple for its iPhone product category, is currently in its 16th major update. It was introduced as iOS 15's successor at the company's annual developers conference. Codestars, an online learning platform that teaches coding in collaboration with Atil Samancioglu, a certified instructor, created The Complete iOS 17 Developer  Course - and SwiftUI online certification, which is provided by Udemy.

The Complete iOS 17 Developer Course - and SwiftUI online training is an extensive programme with more than 51  hours of lectures and 57 articles that aim to help the participants gain knowledge of the methods used in iOS development so they can become certified iOS developers. Participants in The Complete iOS 17 Developer Course - and SwiftUI online classes will learn about subjects such as developing applications, augmented reality, machine learning, dependency injection, application testing, and much more.

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.

A software application designed to be used on Apple's iOS-powered iPhone devices. iPhone applications can be downloaded through the Apple app store and are intended to run on Apple's iOS mobile operating system which powers the iPhone and iPad devices. Nick Walter - Mobile & Web Developer, Expert in iOS, Android, Django, and Python created the How to Make a Freaking iPhone App - iOS 10 and Swift 3 certification course, which is available on Udemy.

How to Make a Freaking iPhone App - iOS 10 and Swift 3 online classes are designed for learners who want to master the basic to intermediate skills required for iOS app development to become professional iOS developers. How to Make a Freaking iPhone App - iOS 10 and Swift 3 online course includes 16 hours of self-paced lessons, as well as downloadable resources and 9 articles on topics such as application development, Github, Firebase, Git, and lectures to help learners acquire the knowledge to use their skills to make money by submitting their applications to the app store.