List of Online Courses and Certifications

AI-900: Microsoft Azure Artificial Intelligence Fundamentals certification course is designed by Cloud Ops - Cloud Engineer and is available through Udemy which is intended to provide learners with the fundamental knowledge and skills needed to pass the AI 900 certification exam and become certified artificial intelligence engineers. AI-900: Microsoft Azure Artificial Intelligence Fundamentals online course by Udemy is created for learners who want to commence their professional journey with artificial intelligence using their knowledge of Microsoft Azure and cloud computing.

AI-900: Microsoft Azure Artificial Intelligence Fundamentals online classes contain 4 hours of hands-on comprehensive video-based learning content. Learners will be taught about artificial intelligence workloads, machine learning principles using Azure, computer vision, and conversational AI workloads during this program. Learners who want to participate in the course must enroll by purchasing a lifetime membership to the course to access the course content.

The AI for Managers & Business: Complete Guide to Applied AI online certification was developed by Pallav Modi - Founder Aimadesimple, AI Innovator, Innovation Consultant, and Trainer - and is offered by Udemy which is designed for participants who want to explore the domains in which artificial intelligence is being used and develop an understanding of how the logic of it functions. AI for Managers & Business: Complete Guide to Applied AI online course aims to provide a detailed understanding of the application of artificial intelligence in a business context, allowing professionals and organizations to leverage the power of machine learning and deep learning to improve their productivity and work efficiency.

AI for Managers & Business: Complete Guide to Applied AI online classes focus on teaching students how to build machine learning models from the ground up, using non-programming tools built in collaboration by Microsoft Azure and Google Cloud Platform, among other things. This course covers subjects such as computer vision, natural language processing, reinforcement learning, big data, and AI methods. The course also teaches participants how to construct 5 real-world applications or models that leverage the strengths of artificial intelligence to assist them to obtain a practical understanding of the deep learning and machine learning functionalities.

The Data Science programme by Digital Vidya has been created and curated by industry experts having years of experience. The curriculum has been vetted by over 2800 enterprises to be made industry-compliant. Besides, the Data Science training course will help you take that crucial step in becoming a Data Scientist. 

You will receive instructions about variables, data types, and all the various operators—logical, arithmetic, and comparison—to come to terms with the language of Python. Additionally, you will also learn about Data Manipulation techniques using the Pandas library, along with the required skills for Regression Analysis, Decision Trees and Forests, and Statistics.  

You will be required to solve the Capstone Projects in the Digital Vidya Data Science course. As a result, you will increase your industry knowledge in the niches of Natural Language, Deep Learning, Bank Management, and Healthcare Analysis. 

Furthermore, you will be eligible to receive two certifications—one from Digital Vidya, and the other from NASSCOM. The former will be available after you complete all of the assignments and at least one Capstone Project. Upon completing the Data Science Programme successfully, you will get the NASSCOM FutureSkills Certification as well.

The Master of Data Science Certification Course is an online course that aims to enhance and develop your skills and knowledge in the basic concepts of programming, statistics, machine learning, and deep learning. The course will discuss the tools and techniques involved in R programming, OpenCV, TensorFlow, deep learning, machine learning with Python using Scikit-learn or R programming language.

The Master of Data Science Training Course offered on the V Skills platform provides students an opportunity to gain professional skills in data science from industry experts and certified instructors. The online certification course will not only help learners in heightening their theoretical knowledge but also provide them a platform to explore the practical applications of the subject.

The Master of Data Science Online Course is delivered through informative video tutorials and academic content. The candidates are assessed through a one hour long online examination carrying 50 marks. Upon the successful completion of the exam, candidates will receive a final course certificate. You can also get the 'Vskills Certified' tag after course completion.

The Data Science Course Complete Data Science Bootcamp online course is offered for the learners to acquire the basic skills to become data scientists. The course is provided by the online education platform Udemy as a self-paced learning program with informative videos and articles and resources that aid in grasping concepts. The course is a study about the core aspects of data science and its applications in real-life business.

The course is instructed by the educators from 365 Careers. In this course, the students gain a comprehensive understanding of the field of data science with mathematical skills, statistical skills, and the knowledge of Python, Tableau, advanced statistics, data visualization, deep learning, and machine learning.

The Data Science Course Complete Data Science Bootcamp training program provides the students with a course certificate after completing the program and full-time access to the course. The students are engaged with active learning through the concepts and principles discussed in detail throughout the course.

MindMajix Technologies INC. offers the Data Science Course in Hyderabad online certification that is aimed at anyone who wants to master the sophisticated ideas of data science to become certified data scientists and advance in their jobs. The Data Science Course in Hyderabad online course covers Python, R programming, data manipulation, data analytics, statistics, machine learning, and natural language processing.

Data Science Course in Hyderabad online classes by MindMajix Technologies cover all data science principles, from beginner to advanced, as well as best practices in scientific computing, deep learning, artificial intelligence, Keras API, big data, and excel. Students who want to take this course must enroll in one of two ways: self-paced learning lectures or live online classes guided by an expert trainer on Google Meet or Zoom.

Data Science Training Course in Bangalore certification course is offered by MindMajix Technologies INC., which is created to provide the participants with knowledge of the core concepts of data science. Data Science Training Course in Bangalore online classes will teach them everything they need to know about data analytics, business analytics, Naive Bayes, data modeling, machine learning techniques, and much more. 

Data Science Training Course in Bangalore online classes by MindMajix Technologies cover detailed video lectures along with lab training which includes topics such as R programming, predictive analytics, R data structures, data exploration, data visualization, R statistical concepts, cluster analysis, and forecasting. This training also provides enough opportunity to gain practical knowledge of the complex data science topics using real-world projects. 

Data Science, Analytics, and AI for Business & the Real World™ online certification was designed by Rajeev D. Ratan - Data Scientist, Computer Vision Expert, and Electrical Engineer and is offered by Udemy which is designed for individuals who want to attain a solid understanding of how data science, data analytics, and artificial intelligence can benefit a business. Data Science, Analytics, and AI for Business and the Real World™ online course focuses on explaining all the fundamental theory and programming abilities required in a competent data scientist.

Data Science, Analytics & AI for Business & the Real World™ online classes is a practical course that includes over 30.5 hours of detailed pre-recorded video lectures, as well as 6 papers and three downloadable resources that cover a wide range of real-world business problems faced by data scientists. This course aims to bridge all of the gaps that discourage beginners while also allowing them to apply their data science and deep learning skills to real-world business situations. This training program also covers big data analytics, machine learning, and neural networks, as well as teaches about PySpark, Google Data Studio, Jupyter notebooks, Heroku, and Flask, among other tools and approaches that help individuals with their data analytics.

Pianalytix, a Technology learning provider, developed the Data Science Mega-Course: #Build 60-Projects In 60-Days online certification, which is presented by Udemy and is aimed at individuals who wish to expand their abilities in the data science field. The Data Science Mega-Course: #Build60-ProjectsIn60-Days online course by Udemy teaches the core concepts of artificial intelligence, machine learning, deep learning, and natural language processing, among other technologies and topics in data science.

Data Science Mega-Course: #Build {60-Projects In 60-Days} online classes are designed to provide students with a practical understanding of data science principles and methodologies, and this course includes 60 projects that cover a variety of topics, both fundamental and advanced. This course also covers several cloud platforms so that students may design data science projects and deploy them on AWS, Google Cloud, Heroku, IBM Watson, Streamlit cloud, and Azure.

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.

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 Data Science Bootcamp by Caltech is designed for working professionals providing thorough training in Data Science. This online certification course comprises a blend of theory, case studies and extensive hands-on practise that enables students to master the Data Science concepts and tools. With this Data Science online course, students will be exposed to data structure and data manipulation and the use of linear and non-linear regression models and classification techniques for data analysis. The Data Science Bootcamp syllabus consists of core courses and electives in Business Analytics with Excel, SQL Training, Power BI, and Deep Learning.

The Data Science Bootcamp by Caltech features the superiority of Caltech's academic eminence. This Data Science training programme provides critical Data Science concepts such as R programming, Python programming, Deep Learning, Machine Learning, and Data Visualization tools. Students can attend the Data Science Bootcamp classes through an interactive learning model with live sessions and masterclasses conducted by Caltech faculty and IBM experts.

Machine Learning for Computer Vision training Certification course Machine Learning in Computer Vision Certification Programme instils a feeling of curiosity and hunger for knowledge related to the fascinating avenue of machine learning in computer-enabled vision. The current domain holds great scope for individuals possessing a budding interest in it and proves to be a coupled breakthrough in providing optimum academic learning. The course will fall as the ideal training course for startup founders, engineers and computer scientists.

The curriculum targets various application domains for the resolution of industrially significant real-life problems while concentrating on its algorithm from the human biological vision. The Machine Learning for Computer Vision training course deals with a plethora of problems and offers practicable solutions to the same by emphasising computer vision.

The faculty from IIT and various other eminent institutes discuss at length various methods of processing, acquiring, analysing, and understanding the extraction of data from the real world and digital images to produce information. Learners will find themselves acquiring appreciable knowledge of diverse sub-domains as well which are related to object recognition, motion estimation, and video tracking which candidates will be able to implement in navigation, medicine, and object modelling, amongst other things.

The Imperial College of London offers the Getting Started With TensorFlow 2 online course in conjunction with Coursera. Achieving certification in courses offered by this esteemed institution gives you an inclusive educational experience and superior digital technology. 

The Getting Started With TensorFlow 2 certification course has modules spread out over five weeks, which candidates can complete in approximately 26 hours. Dr Kevin Webster, a Senior Teaching Fellow in Statistics at the Imperial College London, instructs the certification course. 

An intermediate-level course, the Getting Started With TensorFlow 2 training will teach you the fundamentals concepts of TensorFlow. You will become fully adept in developing deep learning models and using them to evaluate, train, and make predictions. 

Furthermore, the Getting Started With TensorFlow 2 certification course promotes interaction and improvement of one’s core abilities with a comprehensive curriculum and intermittent assignments. You can self-assess through these mediums and grasp the course contents at your own pace. Finally, Coursera awards you with a certificate upon successful completion. 

The course Fundamentals of Reinforcement Learning certification course is offered by Coursera by collaboration with the University of Alberta to make the aspirants skilful with machine learning and applications of Artificial Intelligence. The course is free to enrol and can access all the course materials free of cost. Therefore aspirants can use the opportunity for growing their career with a course completion certificate and increase the chances of hiring.

With the digital connection over the world, Business Intelligence over decision making is made essential in organizations. Decision making increases the prosperity of the business. Therefore the use of decision making with Artificial Intelligence and machine learning became most popular when the programme comes into existence. Organizations are looking forward to candidates who are skilled in this type of Artificial Intelligence, Robotics, Machine learning and, the Internet of things (IoT) as well

Coursera is the digital platform to learn the concepts that are offered for free. Candidates can learn throughout their lifetime and can avail of certificates after completion of the Fundamentals of Reinforcement Learning Training course. 

The course provided by Edureka in Machine Learning with Mahout Certification Training will help the participants lay a strong foundation for themselves in the study of fundamental machine learning techniques which consists of a broad range of algorithms of k-means clustering, Support Vector Machines, Mahout on Amazon EMR and Hadoop, Collaborative filtering to recommendation system as well as Random Forests. 

Since in the current digital market there has been an exponential increase in the amount of data available, the markets are in demand of professionals who can turn vast amounts of data into reliable and useful information, without taking a lot of time. 

This course will help the candidates master skills that are demandable in the market of today by providing training through various efficient study materials. Expert guidelines will also be granted to the students for clarifying queries as soon as they arise. This course covers basic education about Java and Hadoop, so even freshers are welcome to apply.

The Machine Learning Zero to Hero certification course offered by the Indian Institute of Technology Kanpur is a six-week online certification course. The training is structured to introduce machine learning's fundamental concepts and popular algorithms. Candidates will learn through a problem-solving approach by practising exercises in Python.

The Machine Learning Zero to Hero online course teaches about the up to date and supervised learning algorithms, decision tree, linear regression, k-nearest neighbour, and logistic regression concepts. The curriculum also highlights Bayesian learning, support vector machines, and kernels and neural networks accompanied by the introduction of Deep Learning. Candidates will learn about basic clustering algorithms and feature reduction methods.

The computational learning theory basics are discussed in the Machine Learning Zero to Hero training. Furthermore, the online course curriculum consists of complex topics such as variance and bias, overfitting, hypothesis space, cross-validation, and evaluation strategies. What's more, you can earn a certificate of completion at the end of the programme to showcase your skills in machine learning.

A part of the multiple series programme, the online session on Supervised Machine Learning: Classification by Coursera provides the students with a detailed emphasis on the main types of modelling that are involved with the genre of machine learning. The students will learn elaborately to train the predictive models that are involved and used across various domains. The Supervised Machine Learning: Classification certification syllabus will be covered on the online platform by the students over a time frame of 24 hours. The course will train the students professionally in the domain of machine learning.

The Introduction to Machine Learning Course is a part of the Data Analyst Nanodegree. The candidate can opt for that course after the completion of this one. The Introduction to Machine Learning Course provided is of the intermediate level. It will teach the end-to-end procedure and functioning of investigating data with the help of the machine learning lens. The course curriculum is based on self-paced learning. The Introduction to Machine Learning Course syllabus contains ten modules in total. The candidate will be given an Introduction to Machine Learning Course at the end of the course completion. The entire course will be taught by the industrial experts, along with complete training for each concept. 

20+ End-To-End Machine Learning Projects & Deployment online course aims to teach beginners and intermediate data science enthusiasts the most efficient ways to deploy machine learning models while practicing on projects to gain a better understanding of the course. The course is designed for the participants who want to master machine learning with python programming and utilize it for data analysis operations and become professional data scientists. This course will show them how to deploy their machine learning models in the cloud the way the industry does it.

20+ End-To-End Machine Learning Projects & Deploymentonline certification is created by Mr. Britt - Data Scientist, Product Manager & Instructor and is made available through Eduonix, an educational organization that provides learning materials for skill development to individuals who want to advance in their careers. Participants who wish to enroll in the 20+ End-To-End Machine Learning Projects & Deployment online training are advised to have a basic knowledge of Python Programming and machine learning to make their learning more efficient and effective. 

Practical Machine Learning, available on Coursera, is administered by Johns Hopkins University to expose the students to the realm of machine learning along with a thorough practical training with the help of numerous practical applications. Practical Machine Learning Certification Syllabus developed by industry experts and experienced professors will walk the students through concepts of sets, overfitting, regression, classification trees, Naive Bayes, random forests, and error rates. 

Practical Machine Learning Certification Course, provided by Coursera, will shed light on numerous topics related to machine learning including algorithms, evaluation, data collection, and feature creation. Practical Machine Learning Certification by Coursera prepared by Jeff Leek, Ph.D., Roger D. Peng, Ph.D., and Brian Caffo, Ph.D. with an emphasis on facilitating the learners to practice the application of machine learning. 

Machine Learning: Regression is a certification programme offered completely in the online mode. In the course by the University of Washington, the students will be exposed to machine learning, particularly regression. Machine Learning: Regression Certification Syllabus will talk about regression which is predictive modelling in machine learning that will help to foresee the outcomes analyzing the algorithm. 

In the Machine Learning: Regression Certification Course, offered by Coursera, the candidates will learn the regression based on the case study of the ‘Predicting Housing Prices’ where the students will come up with a model that will predict a continuous value/price based on the input features such as a number of bathrooms, bedrooms, etc. Machine Learning: Regression Certification by Coursera is the second in the four courses of Machine Learning Specialization. 

The Machine Learning & Deep Learning in Python & R certification course was created by Start-Tech Academy and is available on Udemy for candidates searching for a comprehensive machine learning and deep learning training program that will help them start a successful career in the fields of data science, deep learning, machine learning, Python, or R programming. The Machine Learning & Deep Learning in Python & R online course provides the methodologies for creating predictive models in R programming and Python to address business challenges and establish a business strategy.

Machine Learning & Deep Learning in Python & R online classes by Udemy contains 33 hours of HD video lectures as well as 5 articles covering subjects such as decision trees, KNN logistic regression, random forest, SVM, linear discriminant analysis, data collecting, and data preprocessing. This course also includes a portion that discusses all of the actions that should be taken when solving a business problem using a linear regression model.

Machine Learning & Deep Learning in 31.5hrs online certifications is developed by Mario Favaits - Certified AI Professional & Trainer and is offered by Udemy which is designed for those who want to learn the fundamentals of machine learning and deep learning to become certified data scientists. The Machine Learning & Deep Learning in 30hrs online course by Udemy takes a practical approach, using a logical sequence to help participants understand data science and machine learning principles effectively.

As no prior knowledge of coding is required, the Machine Learning & Deep Learning in 30hrs online classes begin with the fundamentals of linear algebra, calculus, and statistics. This course aims to give students a thorough understanding of topics such as artificial intelligence, machine learning, unsupervised learning, neural networks, computer vision, data augmentation, backpropagation, and random forest, as well as various data science tools such as Python, Pandas, Keras, and Colab.

Fundamentals of Machine Learning online certification is developed by Board Infinity, an e-learning platform that is designed to help individuals and job seekers develop and grow in their professions. Fundamentals of Machine Learning online classes by Board Infinity are designed to assist individuals who want to study the fundamental principles and approaches of machine learning from the ground up.

Fundamentals of Machine Learning online course is a self-paced course that aims to give students an overview of machine learning fundamentals and to help them improve their skills in areas such as python, python for machine learning, mathematics for machine learning, supervised learning, unsupervised learning, and natural language processing. Individuals who want to start their machine learning journey might use this course as a stepping stone.

Data science and machine learning are emerging fields with a huge demand for skilled professionals who have robust knowledge and the practical skills of programming, analyzing data, and complex problem-solving. EduPristine’s Machine Learning in Python programme will provide a step-by-step model with complex algorithms that you can apply to solve business problems in the real world.

The programme gives an introduction to Python and delves deep into the various tools and techniques required to master it. Participants get hands-on experience in the Machine Learning in Python certification training with tools like Python, Tensor Flow, and Keras. The course familiarises candidates with Python necessities for Machine Learning, including Anaconda, PIP, Conda, and Scikit-Learn.

This course comes with EduPristine’s superior service in post-course engagement which includes a certificate in Machine Learning in Python issued by EduPristine. Candidates also get access to LMS for one year, real-life projects, dedicated discussion forums, and case studies. Further, the participants receive career assistance, regular job updates, and guidance with resume preparation. Industry leaders with years of relevant experience and expertise teach the course. 

VSkills also assures that the candidates receive the machine learning training experience from actual machine learning expert trainers and that too on hands-on real-time scenarios.  Machine learning VSkills certification evaluates the participants of the course according to the needs of the company for machine learning.

The course gives an individual exposure to all the fundamentals of machine learning. It is a perfect way to build up your career and open the gates of opportunities in the career.

During the trial of the programme, participants will learn unsupervised study, supervised study, unsupervised learning models, supervised learning models, applying machine learning techniques and neutral networks. Participants will also be given exposure to basic machine learning techniques and participants will learn to derive different solutions to problems using machine learning. To get a certificate in Machine Learning (Python), the candidate has to appear in a test and score a minimum of 50 percent.

The Machine Learning A-Z™: Hands-On Python & R In Data Science online course is a study about the algorithms of machine learning using Python and R programming languages in data science. The online course is provided by Udemy for students who wish to learn about data science and machine learning concepts. The course consists of forty-four hours worth of videos, lectures, articles, and other significant resources for the students to learn at their own pace.

The online training helps engages the students in practical understanding of concepts and principles to apply in real-time situations.

The online program is developed by instructors such as Kirill Eremenko(Data Scientist), Hadelin de Ponteves(AI Entrepreneur), SuperDataScience Support, and Ligency Team. The students get access to the course materials all the time. The Machine Learning A-Z™: Hands-On Python & R In Data Science training program will provide the students with the course certificate after completing the program. 

Bayesian Machine Learning in Python: A/B Testing online certification is created by Lazy Programmer Inc. - Artificial intelligence and machine learning engineer and offered by Udemy Inc., an online learning platform based in the United States that helps individuals learn new skills and professionals refine their existing ones. 

With Bayesian Machine Learning in Python: A/B Testing online training, methods that candidates will learn will not be limited to A/B testing; rather, they will use A/B testing as an introduction to how Bayesian techniques can be used. Candidates will master the essential tools of the Bayesian method - using A/B testing as an analogy - and then apply those Bayesian methods to more advanced machine learning models in the future.

Individuals taking the Bayesian Machine Learning in Python: A/B Testing online course, are advised to have prior knowledge of the following topics: probability (joint, marginal, conditional distributions, continuous and discrete random variables, PDF, PMF, CDF), python coding, Numpy, Scipy and Matplotlib so that their lack of knowledge of any particular topic won’t affect their overall learning experience.