List of Online Courses and Certifications

Amazon Web Services (AWS) is offering the Amazon SageMaker: Simplifying Machine Learning Application Development certification course. It will act as your guide for using Amazon SageMaker for the integration of ML or machine learning into your apps. Machine learning has surfaced as one of the most sought-after technological domains in recent times. Thus, the course can help you develop your skill-set in just a span of 4 weeks.

The Amazon SageMaker online course by edX will empower you with the knowledge of training a model with the help of a Jupyter Notebook. You will learn under the able guidance of AWS Training and Certification expert educators. Furthermore, you will have the assistance of video lectures, hands-on exercises, and demos to help you achieve fluency in the course concepts.

Moreover, the Amazon SageMaker training will allow you to hone your prior skills and help you gain new ones. You will have improved career opportunities at hand after completing this course. Although it is free of charge programme, you need to purchase the Verified Certificate track to access graded assessments and the programme certificate.

In an era of big data and social media, we have huge amounts of datasets at our disposal. Hence, it is necessary to address the loopholes that may be present in Artificial Intelligence technologies. The Bias and Discrimination in AI certification courses are designed to investigate the technical and social dimensions of fairness and bias in algorithm design and machine learning.

The inequalities related to socio-economic status, skin colour, and gender that are deeply rooted in our society have already made their way into the Artificial Intelligence systems utilised for decision making. The Bias and Discrimination in AI course by edX will explore the impacts of such biases and raise awareness about the same. The four-week programme is curated by the University of Montreal, a leading French-language institute based in Canada.

The growing usage of AI across all sectors raises considerable social justice and ethical concerns. Therefore, Bias and Discrimination in AI online courses will make you informed about how AI discrimination can have drastic effects on our daily lives. Students must have a fundamental understanding of machine learning to pursue the MOOC. The candidates will be proceeding to the course in a self

The Wiley Certified - Python Programmer certification course is created to explore the working of packages, installing and operating Integrated development environment, type conversion, Performing operations on variables, The course consists of various extensive hands-on work, assignments, and live training.

The Wiley Certified - Python Programmer certification By WileyNXT offers every possible knowledge of basic programming language as python is a popular general-purpose programming language used by both small and large-scale Applications. Due to its large standard of libraries such as Pandas, Numpy, Matplotlib, Python is adopted by a huge number of large-scale applications. 

The Wiley Certified - Python Programmer online course encourages students to learn about various libraries of python which have easy readability & multiple paradigm support including functional, procedural, and object-oriented programming styles, the libraries consist of various types of built-in modules which help in different types of data input and output operations with a wide range of functionalities in the modules available in python libraries.

Apply Creative Machine Learning certification is a month-long course that only requires a student’s 2 hours in a week time. Developed by UAL Creative Computing Institute, and Institute of Coding, this certification course can be found on the FutureLearn platform. Among all the industries, machine learning is actually causing a revolution in the creative industries ranging from Music to Photography.

Apply Creative Machine Learning certification syllabus is all about the concepts that come under IT, and Computer Science. Any technology we use to interact is actually being changed by Artificial Intelligence. The main thing that this course teaches is the main concepts in machine learning using applied examples in real life.

With this Apply Creative Machine Learning training candidates will come to know how exactly machine learning works, and how simple classification systems are built. This system can help make a discrimination between the information types, and the regression systems that are used for mapping interactions to different outputs. The candidates will be understanding the full capacity of the abilities of Machine Learning keeping in mind its relationship with creative industries.

The High-Dimensional Data Analysis Certification Course is an advanced-level data science course that deals with the features of data analysis and data interpretation. The course will introduce students to extremely challenging cases relating to data analytics and discuss the usage of high-dimensional data sets.

The High-Dimensional Data Analysis Training Course offered by the edX platform is a self-paced course taught over 4 weeks. The course is delivered through online study materials under the guidance of Rafael Irizarry and Michael Love, professors at Harvard University.

The High-Dimensional Data Analysis Certification Syllabus would be beneficial for students who are planning to expand their knowledge base in topics like data visualization and data analysis of high-throughput data. Students who are interested in gaining knowledge about machine learning and data analytics can opt for the course. EdX provides two options for learners to pursue the self-paced programme, namely, verified and audit tracks. In the verified mode, the learners can get unlimited access to the programme and a certificate of completion. In the free mode, they can audit the course only for a limited duration. 

The ‘Artificial Intelligence (AI) in Hospitality: Challenges and Business Opportunities’ online course is developed by the ‘Swiss Education Group’ and offered by the online educational platform FutureLearn. The course is scheduled for a period of four weeks with weekly four hours for study. This online course is an exploration of AI potential in the hospitality business and the business challenges it has created. It delves into the concepts of cost reduction, increasing the rate of customer satisfaction, and inventing modern techniques for front office and housekeeping.

This ten hours course allows the candidates to discover the possibilities of digitization in hospitality and the scope of innovation that becomes the future of the hospitality industry. The course educators for the ‘Artificial Intelligence (AI) in Hospitality: Challenges and Business Opportunities’ online programme are Antoine Casanova-Mazet (Digital Entrepreneur and lecturer at Hotel Institute of Montreux) and Hawah Mahmoudi (Career coach and Alumni Coordinator).

The high-level digitisation of processes across various industries is rising. This has fuelled the popularity of data science technology. The Data Science L2 programme aims to provide you with the entire toolkit for becoming a Data Scientist. You WILL also receive a valuable certificate after meeting certain eligibility criteria.

The Indian Institute of Technology (IIT), Ropar, accredits the Data Science L2 online course. This module-based programme spans 4 weeks, where you will learn through live online sessions and case studies. Plus, you will work on a capstone project and understand how to apply your learnings for tackling real-life business cases. The curriculum will make you proficient in logistic and linear regressions in Python, factor analysis, pre-processing data, and other vital areas.

Throughout the Data Science L2 online programme by IIT Ropar, you will explore in-demand data skills. These include Machine Learning (ML) with sci-kit-learn and stats models, Natural Language Processing (NLP), advanced statistical analysis, computer vision, etc. You will also learn Python programming with Seaborn, matplotlib and NumPy.

The Global Online Certification Course on End-to-End Supply Chain Transformation through Digitization programme is a 20 hours online course that is an initiative of the National Institute of Industrial Engineering (NITIE), Mumbai for the purpose of developing the logistics sector in India. The course completion criteria for certification is apt attendance, and active participation from the participants. Digital Transformation, is a concept that refers to using analytics, automation, and data for the purpose of business transformation by companies like Dell, Amazon, and others to increase revenue, and profit. Hence this course is basically beneficial for the already working professionals. 

The Global Online Certification Course on End-to-End Supply Chain Transformation through Digitization training is a tool for decreasing cost to incur profit for the organizations. The main focus or rather objective of this certificate programme is to use business analytics to transform business processes for the organizations right from marketing to supply chain management to revenue optimization for innovation of products, and understanding the preference of the consumer.

Through the Applications of AI Technology certification by Futurelearn, you will understand how artificial intelligence technology is affecting and shaping the future of four key areas of today’s world. You will focus on one area every week. Each topic includes a specific idea of how AI influences that area in the future.

The Applications of AI Technology certification by FutureLearn incorporates the application of AI studies in four different areas. Deep Learning algorithms, intelligent systems, AI in medical health, and AI in fisheries management are covered in the course. With intelligent systems, you will explore genetic algorithms, neural networks, and particle swarm optimisation.

You will learn how machine learning is extremely helpful in forecasting models and finding clinical data patterns. With deep learning lessons, you will be introduced to methods of how virtual reality (VR) is used to train self-flying drones. Finally, with the Applications of AI Technology online course, you will investigate fisheries management. The course will also cover how AI can help bring sustainability to ocean fisheries.

The Certification Course in Understanding Quantum Computers by Future Learn is an introductory course for candidates looking for career prospects in the field of quantum computing and applications related to it. The 4-week course in detail discusses the important algorithms and theories related to the subject of quantum computers. For a better understanding of concepts, students will be provided with a graphic description of the subject. 

The course while dealing with key concepts on- computational complexity and quantum chemistry will have minimum usage of mathematical concepts. The course will provide an opportunity for the candidates to learn at their own pace. Students who take up the course will be subjected to new concepts that will require mental stretching. The course is provided by Future Learn and is co-partnered by Keio University, Japan. To course will allow all the learners to work vividly in the field of Quantum computing. 

The course substantiates basic fundamentals of Quantum Computation like the no-cloning theorem, measurement, qubit, and others. Along with the basics, the course also throws light on the hardware aspect of Quantum computing. The Certification programme allows the learner to know the changing dynamics of computer science as a subject.

Designed after careful industry analysis, the Online Certification Course in Advance Data Analytics and Machine Learning using R by NIELIT progresses from the basics of R to advanced studies of data analytics. It includes 40 hours of learning in four weeks of weekday classes from 1:30 PM to 3:30 PM.

The course curriculum aims at training candidates in the field to meet the demands of the technologically-driven industry. Touching upon computational statistics applications and usages, it solves real-world data science problems. For the Online Certificate Programme in Advance Data Analytics and Machine Learning using R by NIELIT, candidates need to access a system of 8GM RAM with a broadband connection. A basic understanding of the Linux command line will be beneficial. 

The course also provides a combination of practice and knowledge in Data Science and its applications. Mr Sanjaav Kumar Jha instructs NIELIT’s Advance Data Analytics and Machine Learning using the R training programme. Upon satisfactory course completion, students will also earn their certificates. 

The Machine Learning using the Python program using the Digital India platform is offered by the NIELIT located at Gorakhpur-Extension Centre Lucknow. Since machine learning is a rapidly developing subfield of Artificial Intelligence, this course introduces the student to the world of Machine Learning starting with its basic concepts and techniques. The program runs for a duration of 6 weeks. 

As an online platform-enabled course, it is easily accessible through its portal and candidates can pursue this course in two different languages which are Hindi and English. The course is designed to use Python programming language as a tool for data analysis and solve problems of Machine Learning by employing its algorithms. The course offers mini-projects throughout its duration for student assessment. Before the final exam, the course offers a Question and Answers session for students to clear their doubts and seek clarifications.  This course offers a certificate of completion to all candidates who pass the requirements successfully. 

Artificial Intelligence is an emerging field with numerous applications in different domains including science and technology, healthcare and even education. Students irrespective of their educational background are fascinated by the possibilities they can explore in AI. Thus, they need a course that not only confines them to theoretical aspects but also provides them practical exposure and leaves them with novice ideas for building a career.

In Introduction to Artificial Intelligence (AI) Certification by Coursera, course participants, besides getting a basic insight into Artificial Intelligence, will explore various cases and applications of AI. Introduction to Artificial Intelligence (AI) Certification Syllabus shall help them understand the terminology and concepts like deep learning, machine learning and neural networks. It will also provide exposure to out-of-the-book concepts in AI like ethics and bias.

Being a beginner-level course, learners need not possess any computer science or programming expertise beforehand. Anyone with or without a technical background shall acquire skills while studying at their own pace in online mode with flexible deadlines. The Introduction to Artificial Intelligence (AI) certification course is developed by IBM 

The Introduction to Trading, Machine Learning & GCP online course is an intermediate level of course. Students can look up the programme on the official website of Coursera. In this programme, students will learn about trading, its features, trends, and aspects related to trading. The course will discuss the different quantitative strategies that are considered for trading and trading structure. 

The course also talks about Google cloud and machine learning aspects in the programme. The Introduction to Trading, Machine Learning & GCP certification syllabus of the program is categorized on a weekly basis and demands four weeks for the program. 

Students are free to set their schedules according to their willingness and the entire program can be completed in 5 hours. Through the assignments and exercises, the students are able to understand every concept properly. At the end of the Introduction to Trading, Machine Learning & GCP certification course, students can also complete the procedure of getting a certificate if they want to be a certified user of the program.

The Getting Started with AI using IBM Watson certification course is offered by IBM through the platform of Coursera. The programme will discuss the basics of artificial intelligence using IBM Watson. The programme mainly includes the topics such as the working of Watson, its several artificial intelligence services, how to build apps using Watson services from IBM, and many more. 

The Getting Started with AI using IBM Watson online course not only talks about the theoretical aspects of the subject matter but also the real-life cases of the market and the current situations prevailing in the industry. This beginner-level programme includes several readings, video lectures, quizzes, assignments, tests, practice exercises that are divided into four different modules. The course is a hundred percent online programme and thus available for students at all times. The Getting Started with AI using IBM Watson certification syllabus requires only 9 hours of the time from the schedule of students to learn from this course. The course grants a certificate at the end of the course if the student completes the entire course successfully.

The IBM advanced data science qualification curriculum includes the Scalable Machine Learning on Big Data using Apache Spark online course which provides students with much-needed insights to scale up the machine learning and data science methods in Apache Spark on big data sets. 

The Scalable Machine Learning on Big Data using Apache Spark syllabus will teach about datasets that need capabilities beyond a single computer and Apache Spark provides the open source-based framework and comes as a part of the IBM Artificial Intelligence Engineering. 

It is an intermediate difficulty level coursework that is fully online and provides a verified certificate. The Scalable Machine Learning on Big Data using Apache Spark by Coursera takes a total duration of 4 weeks to complete and is taught in the English language along with subtitles provided for student comfort. The course will help candidates with prerequisite knowledge on programming, SQL and machine learning with a flexible deadline and serve as a great asset for anybody aspiring to be a Machine Learning Engineer. 

The online program on Advanced Machine Learning and Signal Processing by Coursera is a part of the series of programs that are offered in the domain of “advanced machine learning and signal processing”. The Advanced Machine Learning and Signal Processing training is part of the courses that are offered by IBM on advanced data science specialization. In the course, the frameworks for python using SparkML and Scikit-Learn will be introduced. The Advanced Machine Learning and Signal Processing certification syllabus will be covered on the digital platform within a time frame of 28 hours.

The Deep Learning on Azure with Python: Introduction to Deep Learning online course is about deep learning in the discipline of Python and Machine learning. The programme is hundred percent online and is available on the website of Future Learn. Participants will be aware of the several types of neural networks, deep learning framework, automating functions. 

The Deep Learning on Azure with Python: Introduction to Deep Learning certification course aims to provide theoretical as well as a practical learning of the course for a better understanding of the concepts. The course can be pursued in the self-paced mode and allows the user to enjoy the liberty of choosing their own study schedules according to their preferences. 

Students are expected to complete the Deep Learning on Azure with Python: Introduction to Deep Learning certification syllabus in one month. If the student spends a minimum of five hours a week, he or she will be able to understand the concepts in the stipulated time. If the student becomes successful in completing the course entirely, he or she will be eligible for a professional certificate of the programme.

This course will educate candidates on the significance of data science in boosting data-driven innovation in businesses. The Data Science for Business Innovation certification programme has been developed to teach central data science concepts, including machine learning, data communication, big data and data valorisation. 

The Data Science for Business Innovation online course by Coursera also sheds light on Data Science’s tools and techniques, success stories, terminology, use cases and various applications. You will also explore its more technical aspect by learning about semi-supervised, unsupervised and supervised techniques. Furthermore, the distinctions between prescriptive, predictive and descriptive analytics will be discussed.

The Data Science for Business Innovation syllabus covers important topics such as regression, clustering and classification methods. Also, you will study data analysis, pros and cons of different machine learning methods, data needs and practical applicability issues. With the help of this course, you will understand the roles and impact of NoSQL data models and scalable cloud-based computational platforms.

AI Applications in People Management is the online course offered by the University of Pennsylvania that provides insight into the application of artificial intelligence in human resource(HR) management. The learners can pursue the AI Applications in People Management Certification Course as per their time and schedule as it is prepared flexibly. 

AI Applications in People Management Certification Syllabus will discuss the implication of artificial intelligence and machine learning in people management/HR management. Offered by Coursera, AI Applications in People Management Certification by Coursera is the third programme in the AI For Business Specialization. 

Practical Predictive Analytics: Models and Methods is the certification programme on some of the practical and effective concepts and methods of machine learning and their real-world application. The course is a 100% online programme that the learners can pursue at their own pace. Offered  by Coursera, Practical Predictive Analytics: Models and Methods Certification Course is the second course in Data Science at Scale Specialization provided by the University of Washington. 

Practical Predictive Analytics: Models and Methods Certification Syllabus will shed light on statistical experiment designing, R Programming, Random Forest, Predictive Analytics and Machine Learning. The subtitles for the course videos of Practical Predictive Analytics: Models and Methods Certification by Coursera are available in different languages, such as French, Portuguese (European), Korean, Russian, English, and Spanish, allowing non-English learners to take the online programme. 

Artificial Intelligence and Machine Learning for Business is an Open Programme of the prestigious IIM-Ahmedabad. The course aims to introduce several methods from the domains of machine learning and optimization that can be used to make business decisions when the data amount is large. The objectives of the course are as follows:

• It trains the participants on handling both small and large amount of data and perform tasks such as predictive modelling and classification, which is useful in automating business operations decisions using data.
• It trains candidates on using important data analysis and optimization libraries that are available off-the-shelf.
• It offers an insight to candidates on how data-driven ideas are implemented to develop AI-technologies to enhance human potential and solve problems using machines.

The Machine Learning using Python online course is a study of computer algorithms and a part of the applications of artificial intelligence, offered by the online education provider ‘Edu Plus now’ in partnership with the Indian Statistical Institute in Pune. This twelve days course is scheduled on the weekends for interested students.

The course curriculum is focused on the detailed aspects of the statistical principles and theories, the nuances of the programming language Python along with the concepts and ideas of machine learning. The learners in this program will be allowed to explore the methods and process of building algorithms with the help of supervised and unsupervised learning, regression mechanics, classification strategies, and the modeling of time series utilizing the software tool Python. The students will get an opportunity to work with several technical projects of the real world for skill development and implement the theoretical knowledge gained into practical applications.

Future Development in Supply Chain Finance and Blockchain Technology online certification is designed by the New York Institute of Finance which is taught by Oliver Belin - Certified Instructor and Jack Farmer - Curriculum Director and is presented by Coursera which is geared toward individuals who want to gain a thorough understanding of how traditional trade finance transformed into supply chain finance by examining the key components and current alternatives.

Future Development in Supply Chain Finance and Blockchain Technology online course seeks to instruct individuals on the theories underlying potential advancements in supply chain finance using artificial intelligence, machine learning, and APIs. The functions of distributed ledger technology are explained in Future Development in Supply Chain Finance and Blockchain Technology online classes, along with the importance of implementing blockchain technology in supply chain finance and trade finance.

An understanding of Reinforcement learning (RL) is crucial in machine learning that looks at how gradient boosting should act in an environment to get the most rewards over time. Reinforcement learning is one of the three basic ways that machines can learn, along with supervised learning and unsupervised learning. The Reinforcement Learning for trading Strategies certification course is designed by the New York Institute of Finance along with Google Cloud and taught by Jack Farmer - specializing in training and consulting solutions, which is presented by Coursera. 

Reinforcement Learning for Trading Strategies online classes offer 12 hours of digital lessons that are intended to provide students with a comprehensive understanding of reinforcement learning (RL) and the benefits of using RL in trading strategies, as well as how RL has been used with neural networks and review LSTMs. 

With Reinforcement Learning for Trading Strategies online training students will learn more about how they can be used to look at data over time. Aspirants will be able to use reinforcement learning to build trading strategies, recognize the distinction between actor-based policies and value-based policies, and use RL as part of a momentum trading strategy.

End-to-End Machine Learning with TensorFlow on GCP is the successor of the first course Advanced Machine Learning with TensorFlow on Google Cloud Platform Specialization. This programme is included in a 5-course specialization that focuses on the topics of advanced machine learning that uses Google Cloud Platform. This course would give real-life experience by improving, establishing, and measuring production.

Through this course, the candidates would learn to build innovative, correct, and manufacturing-ready models for organised data, time series, natural language text, and image text. The course will end on recommendation systems. This programme does not have any schedule adherence; the candidates can look at the study materials according to their availability.  Along with theoretical concepts, the candidates would also learn about the practical approach of advanced machine learning.

The Machine Learning Rapid Prototyping with IBM Watson Studio certification course will be allowing the students to work in the emerging technologies of AI. The syllabus is included in the online course Machine Learning Rapid Prototyping with IBM Watson Studio by Coursera. The online programme is  100% online programme and the course is having a duration of eight hours. The Machine Learning Rapid Prototyping with IBM Watson Studio certification syllabus includes the chapters of- Classification Prep Demo, Regression Prep Demo, Multi-armed Bandit Approach, Demo Classification: Making Changes to the Models, Automated Data Preparation, DAUB Algorithm, The model selection problem and others.

The AI Capstone Project with Deep Learning certification course provides an advanced level of training to all its participants. The programme is within the reach of the students at no cost as it can be accessed for free in the audit mode. The course is made accessible to every aspirant through the platform Coursera. Students who enrol for this hundred per cent online training will be able to gain a deep understanding of AI. 

The course revolves around the topics of preprocessing data, building a model, validity of a model, etc. The programme is a part of a course named IBM AI Engineering that is also a Coursera programme and is in association with IBM. The curriculum of the AI Capstone Project with Deep Learning online course is managed by two industry experts that will help the students understand the concepts. 

The course material of the subject also provides hands-on experience through projects. Along with the projects, it includes quizzes, assignments, practises exercises, etc. The course does not have any restrictions with respect to admission eligibility criteria, deadlines, or attendance. The content of the AI Capstone Project with the Deep Learning certification syllabus is divided into 3 weeks and can be completely finished in around 5 hours. If the student is able to complete the course in the fixed time he or she will be able to achieve a certificate at the end of the programme.

Part six in the series of programs on the same domain the online course on AI Workflow: AI in Production by Coursera can be persuaded by students who have an earlier and strong understanding of - NumPy, IBM Watson studio, Python, Pandas, Linear Algebra, and Descriptive and inferential statistical concepts. 

The online course focuses on the models of productions that are aimed at streaming media companies. The course will be introducing the students to the core concepts of IBM Watson Learning. The online program over the period of 17 hours covers the topics of - data analysis, visual recognition, machine learning, and hypothesis testing,  bias detection, NLP and others. The AI Workflow: AI in Production certification syllabus will be covered by professionals.

Machine Learning is a highly demanded skill in the 21st Century. ML is the application of Artificial Intelligence  that provides systems with the ability to learn and improve from experience, without any explicit programming and human intervention. It is the study of computer algorithms that automatically improve through experience. ML has now become an integral part of our lives, and data science and AI professionals are looking to upskill in this. In Coursera’s Machine Learning training course, you will learn the most effective ML techniques and gain experience in their practical applications with precision. 

The Coursera Machine Learning programme teaches the extensive theories behind Machine Learning so that you can quickly learn to apply the techniques to new problems. Besides Machine learning, this course also provides an introduction to data-mining, artificial neural networks, logistic regression, and statistical pattern recognition. 

This Machine Learning certification course is offered by Stanford University and is taught by one of the top educators of Stanford. It takes approximately 60 hours to complete this course. It has 18 modules rife with pre-recorded online lectures, readings and practice exercises for self-evaluation.