Machine Learning Certificate Courses

The Machine Learning for Computer Vision training is a 2-week online certificate programme offered by PDPM IIITDM Jabalpur. The programme aims to imbue you with essential machine learning skills, especially in the context of computer vision. 

The Machine Learning for Computer Vision course syllabus focuses on both theoretical and practical aspects of machine learning. During the course, you will learn concepts like supervised learning, unsupervised learning, feature extraction, image classification, deep learning, and much more.

Moreover, the Machine Learning for Computer Vision programme also features dedicated online lab and training sessions to help you develop the necessary practical expertise required in the industry. The course content will be delivered online, which you can attend from the comfort of your home.

The Machine Learning for Computer Vision certification programme also has a discussion forum wherein you can engage with your peers and talk about research problems and internships.

Large volumes of data are routinely collected in today's scientific and economic industries. Making informed decisions requires the ability to analyze data and learn from it. Machine Learning using R enables the visualization of data, the execution of statistical tests, and the application of Machine Learning algorithms. R and Machine Learning Fundamentals online course teach how the artificial intelligence branch requires minimal human interaction and how the AI system gathers knowledge from data, detects patterns, and makes decisions.

R and Machine Learning Fundamentals certification course is presented by TCS iON in collaboration with Packt Publishing Ltd is a British educational company that aims to provide skill development training to working people. R and Machine Learning Fundamentals online training include 2 hours of thorough video lectures spanning 12 separate modules covering subjects such as data types, subsetting, control structures, data visualization with R, supervised and unsupervised machine learning, and many more.

Machine Learning Certification Course online training is designed by Board Infinity, a virtual learning environment for trainees that would aid them in obtaining excellence and fulfilling their professional goals. Machine Learning Certification Course online training by Board Infinity is for participants who desire to acquire the scientific study of algorithms and statistical models that machine learning utilizes to become professional machine learning engineers.

Machine Learning Certification Course online classes cover a wide range of machine learning topics, including natural language processing, deep learning, supervised and unsupervised learning, artificial neural networks, probability, and statistics, convolutional neural networks, and include more than 40 hours of comprehensive learning, as well as case studies and projects. This course also includes sections on Python, pandas, OpenCV, Numpy, Anaconda, ANOVA, Matplotlib, Seaborn, and other programming languages.

Become a Machine Learning Engineer courses are created by Board Infinity, an e-learning platform designed for learners to assist them in accomplishing goals to achieve their professional goals. Become a Machine Learning Engineer online classes by Board Infinity are designed for individuals who want guidance directly from industry experts and to enhance their practical understanding to become certified AI and ML specialists.

This course aims to give students a thorough understanding of both basic and advanced artificial intelligence and machine learning topics and approaches, such as deep learning, computer vision, natural language processing, generative algorithms, and convolutional neural networks. Applicants will have established experience in a variety of machine learning and artificial intelligence tools, including Power BI, Seaborn, Numpy, Pandas, Keras, Python, Maplplotlib, and Tensorflow, by the end of this course.

Machine learning algorithms are a subset of artificial intelligence (AI) that has been developed to match human intelligence. However, machines supersede the human brain at analysing data and gaining insights about businesses, and machine learning algorithms. They have found relevance in various industries and different functional areas, which makes it a hot topic for study and thus this course-Machine Learning with Business Applications by IIM Bangalore.

Machine learning algorithms can be divided into four sectors- unsupervised learning algorithms, supervised learning algorithms, evolutionary learning algorithms and reinforcement learning algorithms. In Machine Learning with Business Applications Certification Syllabus, candidates will be exposed to different machine learning algorithms and their applications through interactive case studies from various industries.

The ‘Online Machine Learning Program - Self-Paced’ is provided by the education platform ‘Eduplusnow’ and the course is certified by the Indian Statistical Institute in Pune. The machine learning training program also helps the students to understand the methods involved in the software tools such as Python. 

The students gain practical experience by applying the concepts of machine learning in the projects and assignments that are a part of the course curriculum. The course study is about the machine learning algorithms used along with Python and the scope of the machine learning principles in the real world to counter challenges in technologies. 

The learners in this ‘Online Machine Learning Program - Self-Paced’ training will be able to build their business and career with the knowledge and certification gained. The course is guided by the professional faculty who provide valuable insights to become experts in machine learning.

Machine Learning - Linear Regression certification course is developed by Leaps Analyttica TreasureHunt and is delivered by FutureSkills Prime, which is aimed at participants who are looking for a comprehensive training program to learn the functionalities of linear regression in a variety of machine learning and data science activities, as well as being used by organizations for future projections. Machine Learning - Linear Regression online course provides the expertise to design and validate a viable linear regression model on legitimate datasets.

Machine Learning - Linear Regression online classes by FutureSkills Prime will take the participants through the fundamental concepts of machine learning and linear regression including both simple and multiple linear regressions. This course also covers topics like exploratory data analysis, model iterations, variable selection, variable transformations, overfitting, and R square. By the end of this training, participants will be able to pre-process data and evaluate linear models as well as acquire an understanding of various stages of predictive modeling.

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.

The Deep Learning course (with Keras and Tensorflow) certification training course, will educate participants on deep learning concepts and models using Keras and TensorFlow frameworks, to carry out deep learning algorithms. The Deep Learning course (with Keras and Tensorflow) certification training online provides 34 hours of blended learning, industry projects, and dedicated project mentoring sessions from industry experts that will help you prepare for a career as a Deep Learning engineer.

The Deep Learning course (with Keras and Tensorflow) certification training offers you a competitive edge in solving applications without human intervention. The training provides you with ways of expanding the limits of what a computer system can accurately inspect. The Deep Learning course (with Keras and Tensorflow) certification training online will help you differentiate between Deep Learning, Machine Learning, and Artificial Intelligence.

Deep Learning course (with Keras and Tensorflow) certification training by Simplilearn benefits IT developers and testers, data analysts, junior data scientists, analytics professionals, software engineers, statisticians, students, and professionals indulging in data across every field. The Deep Learning course (with Keras and Tensorflow) certification training online will help the candidates in creating deep learning models to interpret the results in building a deep learning project. 

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 Coursera Probabilistic Graphical Models 3: Learning certification course covers probabilistic graphical models, commonly known as PGMs. They are a rich framework used for encoding probability distributions over complex domains. They form the foundation of state-of-the-art methods in different applications such as speech recognition, natural language processing, medical diagnosis, image understanding, and many more. They are also instrumental in formulating many machine learning problems. 

The Probabilistic Graphical Models 3: Learning training is the third course in a series of three. Where the first course focused on representation, and the second focused on inference and the final course helps in addressing questions related to learning. The course discusses the main problems of parameter estimation in both directed and undirected models. 

Moreover, students can receive a course completion certificate for the Coursera Probabilistic Graphical Models 3: Learning programme. Candidates can attach the certificate to their LinkedIn profile or their resume/CV.

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.

Codecademy’s Build a Machine Learning Model with Python certification course will teach you about building machine learning models with Python. You’ll learn how such models help find patterns in data for decision-making, and thus, be fluent in why machine learning is vital today. The curriculum also offers step-by-step guidance, where you’ll know exactly where to begin and what topic to learn next. 

The Build a Machine Learning Model with Python certification syllabus is built to make you skilled in machine learning. As such, it covers all the vital concepts, completing which you’ll be able to scrub for inaccurate data points using Python. You’ll further be able to reformat that data to make it more useful. The course’s topics will also help you understand when to use predictive techniques like classifications or regressions and exploratory techniques such as clustering. 

The Codecademy Pro feature will give you access to additional learning content, including Python 3, Jupyter Notebooks, pandas, etc. It will also award you the GBuild a Machine Learning Model with Python certificate, but you’ll have to buy the Pro subscription.

The Crash Course in Prolog Programming (M) by  E&ICT Academy, IIT Kanpur, will be organized for six weeks. The course will be highly beneficial to the students as well as professionals and teachers. The Crash Course in Prolog Programming (M) certification benefits them by providing a comprehensive course on “Prolog programming.” The real-world applications and the techniques related to “Prolog Programming” will be covered in the session. Lectures will be delivered in both Hindi and English languages. The important chapters such as Installation, Rules, Facts, Complex terms/structures, Variables, Comparison, If Statement, Looping, and others will be covered in this crash course.

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.