List of Online Courses and Certifications

The Complete Machine Learning Course with Python online certification focus on providing an opportunity to candidates to create a catalogue of 12 Machine Learning projects that will help them secure their dream jobs or enable them to use Machine Learning algorithms to effectively deal with problems in business, career, or personal life.

The Complete Machine Learning Course with Python certification course is created by Codestars by Rob Percival - Teaching the Next Generation of Coders, Anthony NG - Algorithmic Trading Workshop Researcher and Conductor & Rob Percival - Web Developer And Teacher and presented by Udemy, to help programmers learn machine learning techniques from roots.

The Complete Machine Learning Course with Python online training will teach machine learning algorithms with python to classify flowers, estimate home prices, identify handwritings or numerals, identify staff who are most likely to depart early, detect cancer cells, and many such things until the end. 

Machine Learning with Python Training Course helps the students to go through the major concepts of Machine Learning using Python and make a thorough understanding of Supervised and Unsupervised Learning. The curriculum will cover the various topics related to machine learning such as clustering, regression, classification, and distinct aspects of python including Matplotlib, Numpy, Scikit, and many more. 

The candidates who want to attend the Machine Learning with Python Training online course must have a basic understanding of Statistics, Mathematics, Python programming, and data analysis. Mindmajix provides the learners with the opportunity to join the programme via three methods of enrolment, namely, corporate training, the self-paced mode, and the virtual live programme led by instructors. 

Machine Learning with Python Training certification, administered by Mindmajix Technologies, will coach the candidates on multiple strands connected to Machine Learning with Python, like Data Structure, Pandas, Seaborn, Python for Data Visualization, Python for Data Analysis, and much more. 

The ‘Autonomous Navigation’ online programme is offered by the International School of Engineering (INSOFE) to the students who are interested in learning about the algorithms associated with the mapping and motion planning of autonomous vehicles. The online course is scheduled for the candidates to learn for free through the ten online sessions. The students are expected to spend three to five hours every week apart from the online sessions for the online programme.

The course instructor for this online training is Dr Parag Mantri, who is a principal data scientist and an associate professor at the International School of Engineering. The professional guidance in this course will help the learners gain an understanding of perception, navigation, path planning, technologies for control and algorithms. The candidates will get an opportunity to know about the concepts of software and mathematics that enable autonomous navigation in self-driven vehicles and develop techniques and strategies for the field.

Through the Data Science With Python Training Course, the students will get a detailed overview of all the gamut of fundamentals related to data science and analytics techniques using Python. The curriculum will cover the concepts of Python Data Science elements including Scikit, Matplotlib, Pandas, Numpy, the principles of deep learning, data visualization, techniques of statistical data analysis, and many more. 

Developed by Mindmajix Technologies, Data Science With Python Training online course will enable the candidates to muster up the skills and knowledge from the industry expert trainers through various hands-on projects and practical training. Data Science With Python Training certification will introduce the learners to Python, basics of Database, Machine Learning with Python, and whatnot. 

The course of Reinforcement learning offered by Edureka is a well structured programme specially designed for candidates having keen interest in machine learning and are eager to build a career in this field.

This course is a great resource for getting familiar with reinforcement learning, which falls in the area of machine learning. During this course the learners will be introduced to branches and elements of machine learning, bellman equation, value iteration, policy gradient methods, monte carlo methods and value function.

In addition to this they will also get sound knowledge of RL agent taxonomy, bandit algorithms, temporal difference (TD) methods, markov process and dynamic programming. All this knowledge will help them perform better in unfavorable conditions.

This certification and knowledge offered during the programme is of great benefit to all the people who want to explore the space of reinforcement learning, and to working professionals related to computer science fields like web development, programming and software development for getting increment in salary or for getting promotion. The rapidly increasing popularity of machine learning makes this course even more profitable in terms of employment.

Data Science: Natural Language Processing (NPL) in Python online certification is a course that employs a functional computing learning technique that has proven to be extremely efficient among hundreds of students who took the course. The course is developed by Lazy Programmer Inc. - Artificial intelligence and machine learning engineer and presented by Udemy, an online course provider aimed at professionals and beginners.

Data Science: Natural Language Processing (NPL) in Python online training will help learners to develop a cypher decryption algorithm to be used in warfare and espionage, how to build and use a variety of useful Natural Language Processing tools, such as character-level language models (based on the Markov principle) and evolutionary algorithms. Learners will develop a spam detector using conventional machine learning techniques, and develop a python sentiment analysis model to provide a value to a body of text indicating how good or bad it is.

Candidates can enrol themselves in the Data Science: Natural Language Processing (NPL) in Python online course and are advised to have prior knowledge of python coding so that lack of knowledge of particular topics does not impair their overall experience.

RA: Data Science and Supply Chain Analytics. (A-Z with R) online certification was designed by Haytham Omar, a Supply Chain Consultant, and is offered through Udemy which is meant for students who wish to become supply chain data scientists by combining data science and supply chain knowledge. The RA: Data Science and Supply Chain Analytics. (A-Z with R) online course by Udemy is organized into interactive learning modules that begin with supply chain foundations and end with R programming fundamentals.

RA: Data Science and Supply chain analytics. (A-Z with R) online classes cover 38 hours of detailed video lectures along with articles, 56 downloadable resources, and assignments to help students gain practical knowledge of the supply chain applications using data science. Forecasting, revenue management, inventory management, simulation modeling, data manipulation, and data cleaning are all covered in this course. Students who wish to learn everything presented in this course must enroll and pay for the lifetime membership to access the course content.

The programme Certificate in R programming is introduced by V skills academy to prioritize the career by programming with R. 

The main goal of the academy lies with the career-building to the students who are interested in programming and its basics. Therefore, the VSkills academy helps the candidates with conceptual learning and practical skills as well to educate the candidates with the key basics of R Programming.

R programming is used for data analysis and data visualization to sort the data, queue the data, and merge the data as well. 

R programming with combined data science has a better future for the candidates in the field of robotics, artificial intelligence, and machine learning. Therefore, there is a need to get the best skills in R programming, and thereby V skills academy comes into the act.

The academy has many joining hands with the MNCs and top global companies. So the academy helps the candidates to get them hired in their desired field with their skills and knowledge. The academy offers an e-certificate that is sharable to resume and CVs and the certificate is approved by the government. So it adds value to the resume and increases the chances of hiring the candidate.

People analytics is an approach that examines all people procedures, capabilities, obstacles, and opportunities in the workplace to improve these systems and achieve long-term business success. It is deeply data-driven and goal-focused. People Analytics 101: HR Analytics Fundamentals certification course is designed by Unlock HR- People Analytics, HR Analytics & Talent Analytics, which is presented by Udemy for individuals who want to learn how to make data-driven decisions about their teams, employees, and standard operating procedures.

People Analytics 101: HR Analytics Fundamentals online course encompasses 9 hours of comprehensive lectures supported by 12 downloadable resources and 6 articles which aim to provide individuals with the knowledge and skills necessary to use statistical data and technology on unutilized but crucial human data, enabling them to make business decisions and manage their organization. People Analytics 101: HR Analytics Fundamentals online classes explain the topics associated with the employee life cycle, HR metrics, data collection, data preparation, model evaluation, and more.

People analytics is a statistical approach to managing employees at work. People analytics, also known as HR analytics, workforce analytics, or talent analytics, is concerned with analyzing problematic situations and using data to answer pertinent questions about the organization. The CCG School of Applied Learning - an education provider has designed the Applied HR (People-) Analytics Certificate Course online certification, which is presented by Udemy.

Applied HR (People-) Analytics Certificate Course online training contains 5 hours of comprehensive lessons accompanied by 3 articles, 3 downloadable resources, and assessments that focus on teaching learners how to comprehend and implement statistical data and data science to resolve issues and attract valid inferences in an organizational setting. Applied HR (People-) Analytics Certificate Course syllabus cover topics like retention analytics, data preprocessing, data analytics, business intelligence, machine learning, and data science.

The Introduction to AI for Beginners is a course featuring 3.5 hours of enriched self-paced video learning. The course provides a basic overview of AI concepts, workflows, machine learning and deep learning frameworks, and new performance metrics. You will learn the nuances of supervised, semi-supervised, unsupervised, and reinforcement learning; their applications, and clustering and classification algorithms help categorize AI business applications.

The Introduction to AI for Beginners also helps participants understand how business processes can be optimised and automated to free the workforce from tedious manual tasks. The candidates will be taught about the purpose of AI, concepts of deep learning and machine learning framework.

Introduction to Artificial Intelligence for Beginners course by Simplilearn will help you with gaining expertise in AI algorithms. AI skills have become a necessity and are extensively used to manage data-driven computational tasks, which need huge effort and time for the workforces.

Amity Future Academy, in collaboration with Berkeley Global, offers the Certificate in Machine Learning with Generative Artificial Intelligence course. The course aims to hone skills, enhance machine learning (ML) and deep learning competency, and provide in-depth knowledge for handling popular platforms and languages.

Industry leaders from data science, deep learning, and machine learning domains teach the course. The

Certificate in Machine Learning with Generative Artificial Intelligence course covers topics like ML techniques using Python, deep learning-neural networks, exploratory data analysis, Keras and TensorFlow, and more. After the completion of the programme, students will gain expertise in the critical concepts of AI, deep learning, ML, data science, and data mining. Candidates will be adept at making strategically essential decisions in their professional domain with Machine Learning techniques, various algorithms, and models.

Students will get access to an industry-driven comprehensive curriculum featuring a capstone project, four case studies, assignments, and quizzes. Learners will receive dual certification from UC Berkeley and Amity Future Academy after finishing the Machine Learning with Generative Artificial Intelligence course.

“Artificial Intelligence + Machine Learning (M)” certification is an online short-term course designed and provided by the E&ICT Academy, IIT Kanpur. This course is ideal for freshers, and working professionals who want to learn all about Artificial Intelligence, and its concept of Machine Learning(M).

The “Artificial Intelligence + Machine Learning (M)” syllabus is a combination of machine learning, its different forms, learning categories, python packages, regression, and much more. For better understanding, and learning, candidates will be evaluated, on the basis of a final assessment so that candidates can be judges, and awarded a certificate quite easily. This course is being implemented and taught by corporate trainers who have immense knowledge, and experience in this field.

This “Artificial Intelligence + Machine Learning (M)” certification will be an added advantage for the candidates in securing their dream jobs. Since this certification will be provided after a final assessment, it is more beneficial for a candidate’s professional career.

The “Artificial Intelligence + Machine Learning” certification is a 6 months online course provided by the E&ICT Academy, IIT Kanpur. This course is made for professionals who want to understand and learn what exactly is Artificial Intelligence, and its concept of Specialization like Machine Learning.

The “Artificial Intelligence + Machine Learning” syllabus teaches students the basic programming concepts that include Machine Learning, and by using the programming language Python. The E & ICT Academy Specialization is nothing but a series of courses that will help candidates master a skill. This will allow candidates to make their own applications that will be used for data analysis, visualization, processing, and retrieval, and become an expert in various programming languages, and tools.

Once the course is complete, and candidates are able to showcase their “Artificial Intelligence + Machine Learning” training as a certificate to their professional network then it will attract prospective employers. This, in turn, will provide better job opportunities to the candidates. And, make them ready to take on this competitive world.

The Data Science with R Programming Certification Training Course training lets you have a conceptual understanding of statistics, Text Mining, Time Series, and an introduction to Deep Learning. You will gain proficiency in Machine Learning Algorithms like Random Forest, K-Means Clustering, Decision Trees and naïve Bayes using R language.

In the ‘Data Science with R Programming Certification Training Course’ on Edureka, you will implement real-life use-cases on Aviation, Social Media, Healthcare, Media and Human Resources. The course curriculum also allows you to comprehend the entire life cycle of Data Science, visualize and analyze various data sets and different Machine Learning Algorithms.

Data Science is a concept of combining data analysis, statistics and their related methods to analyze and understand actual phenomena with data. Data Science Training has theories and techniques drawn from many sectors within the broad areas of information science, statistics, maths, and computer science from sub-domains of classification, data mining, visualization, databases, machine learning and cluster analysis. Undertaking the online Data Science with R Programming Certification Training Course will enable aspirants to master these, helping them become a fluent professional of Data Science.

The Complete Web Developer in 2022: Zero to Mastery online certification is designed by Andrei Neagoie - Founder of zerotomastery.io & Software Developer and is delivered by Udemy which is intended for participants who want to become web developers, application developers, full-stack developers, and front-end developers. The Complete Web Developer in 2022: Zero to Mastery online course by Udemy teaches participants about tools and technologies that they would need to know to be recruited by firms such as Google, Meta, Apple, Amazon, and others.

The Complete Web Developer in 2022: Zero to Mastery online classes include more than 36 hours of informative video lectures, 146 articles, 46 downloadable resources, and coding exercises which cover a wide range of web development subjects like javascript, HTML, CSS, Node.js, Redux, React, Bootstrap, PostgreSQL, SQL, Flexbox, and Github. By the end, participants will be able to use the information obtained in this course to construct machine learning applications as well as other modern projects.

The Complete SQL and Databases Bootcamp: Zero to Mastery [2022] certification course is created by Andrei Neagoie, the founder of zerotomastery.io, Mo Binni, a solution architect and instructor, and Zero To Mastery, a learning platform with courses for in-demand skills, and is offered through Udemy, which is intended for learners who want to study modern SQL and database principles to become web developers, ML engineers, or business analysts.

Complete SQL and Databases Bootcamp: Zero to Mastery [2022] online classes begin from the very beginning by teaching the learners SQL and database fundamentals and then progressing into advanced topics to help them make decisions and deal with any data in their organization. Complete SQL and Databases Bootcamp: Zero to Mastery [2022] syllabus aims to provide learners with a practical understanding to guide them about the techniques used to deal with databases and SQL, scale databases, manage them, and even additional material on handling big data, utilizing Redis for caching and connecting PostgreSQL to a Node.js server.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Udacity’s AWS Machine Learning Foundations online program aims at teaching you key technologies of AWS (Amazon Web Services) machine learning. It is an industry-oriented course. Throughout the course, you will study python coding, programming’s best practices, and Machine learning algorithms and techniques.

With insightful learning content taught by industry experts, real-life examples, and interactive quizzes, you will build a solid foundation in object-oriented programming concepts. The AWS Machine Learning Foundations online course will also introduce you to Amazon Artificial Intelligence (AI) Devices and Amazon AI Services. You will get acquainted with Amazon DeepComposer and Amazon SageMaker.

The AWS Machine Learning Foundations training by Udacity will set you on a track to become a Machine Learning Engineer. You will gain in-demand AI and machine learning knowledge and skills through high-quality video lectures and practical exercises. Also, you will explore standard software engineering practices, machine learning, and deep learning concepts in this beginner-level course.

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

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

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

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

Certificate in Apache Spark course is a 42 hours programme that is an approach of the provider Vskills. These days including the top open-source software Apache Spark has gained popularity in the big data processing industries. This Vskills certificate with lifelong validity will provide recognition to the skills in Apache Spark that will help in standing out amongst the peers.

Certificate in Apache Spark training with foundational knowledge in Apache Spark will help the participants perform large-scale data analytics along with big data analytics for processing tasks. It shall be understood after this course that Apache Spark will integrate Kubernetes, and Hadoop with other programming languages like Python, SQL, and Java. The end certificate holders will also be tagged as Vskills certified on job platforms like Shine.com. The Apache Spark professionals shall be hired for performing management tasks, engineering tasks, and data processing.