List of Online Courses and Certifications

The Machine Learning & Artificial Intelligence for Mechanical, Civil & EE Engineers using Python online; the programme is a skill development course offered by the online education platform Skill Lync. The course study is about the mathematical principles and ideas associated with the statistical tools of machine learning and artificial intelligence along with the primary concepts of ML and AI to comprehend the data. The online programme is based on python, a programming language which is used for effective integration of systems and is the most desired language for the working of machine learning and artificial intelligence. 

The Machine Learning & Artificial Intelligence for Mechanical, Civil & EE Engineers using Python online certification course consist of course instructors who are professionals who are a part of the fortune 500 companies who provide a wholesome training through online lectures for the candidates to gain deep understanding of the domain knowledge. The course provides individual support to the participants through a support engineer in the course.

The Artificial Intelligence and Machine Learning Online Course is a 12 weeks long course that discusses the industrial applications of Machine Learning Algorithms(MLAs) in contemporary times. The course will help learners familiarize themselves with the techniques of deep learning and neural networks through a combination of practical and theoretical sessions.

After successfully completing the course through interactive classroom sessions, case studies, course videos and virtual lab projects, learners will be rewarded with an Artificial Intelligence and Machine Learning Certification by the Institute of Management Technology, Hyderabad. The course is offered in a weekend mode that suits working professionals.

Advanced AI on Microsoft Azure: Ethics and Laws, Research Methods and Machine Learning microcredential is an extensive professional certificate covering a whole skill track to assist you in elevating your Artificial Intelligence career to new heights. 

You will explore advanced data research techniques using Python programming language. Also, this course will guide you through ethics and legal frameworks of AI and machine learning concepts. You will learn the design and implementation of AI solutions on the Azure cloud platform by Microsoft. 

With the help of learnings gained by studying the concepts of Advanced AI on Microsoft Azure: Ethics and Laws, Research Methods and Machine Learning course series, you will explore the development of predictive models for AI utilising advanced Azure machine learning. 

The Advanced AI on Microsoft Azure: Ethics and Laws, Research Methods and Machine Learning microcredential will equip you with the necessary knowledge about how to implement data research methods for lawful and ethical work in Artificial Intelligence and analytics.

Created by the Queen Mary University of London, Data Analytics for Decision Making course is designed to help you learn the principles of data analytics. You will be working through programming exercises in Python to solve basic data analytics problems right beside world-leading experts.

As the world is becoming more data-driven, opportunities for individuals with analytical skills are growing. Employers are looking for such people who can make sense of data by gaining knowledge and insights from the datasets generated around us. To that end, the Data Analytics online course has been created for upcoming data scientists.

From healthcare to transport and shopping, Big Data is increasingly making its way into all businesses. Thus, workers with specialist data skills like data engineers and data scientists are highly in demand. The Data Analytics for Decision Making microcredential course will benefit candidates looking to boost their data science careers and gain data analytics certification.

The Analytics in Python course offered by Columbia University available on the edX platform is a well-structured programme equipped with course content designed by experts to enrich candidates with python programming knowledge. 

Data is an essential part of an organization and proficiency in programming is an important skill for effectively imparting knowledge and information from data. The course will help learners in developing an understanding of various topics like web scraping, web crawling, database basics, relational databases, data interchange formats of JSON and XML and text mining. Through the course, learners will gain knowledge to analyze and visualize data and will be introduced with the basics of SQL that they can apply in the programming area. 

The rapidly increasing demand for python as a programming language makes this course a one-time investment for professionals working in this field. The professionals can share the verified certificate provided towards the end of the programme in their LinkedIn profile for their professional benefits.

The Data Science and Machine Learning: Making Data-Driven Decisions by Great Learning is a 12-week planned programme with course content provided by MIT Faculty and mentorship from industry experts. The mentorship is personalised and done in a practical, hands-on manner. The Data Science and Machine Learning: Making Data-Driven Decisions certification syllabus has been crafted by 11 faculty members of MIT to teach skills required to use the techniques in Data Science for making data-driven based decisions. The candidates will be awarded the certificate of completion with a focus on languages and tools such as Keras, Python, NumPy, TensorFlow, and Matplotlib, etc. 

Students will be guided by Data Science Bootcamp certification course experts through the fundamental knowledge and practical skills necessary to start a successful career in data science. Learners will study data science's foundational theory and applications in the Data Science Bootcamp training.

This course is offered by the Code Labs Academy which will provide deep learning in data analytics, machine learning, and data science to the participants. The boot camp focuses on providing students with hands-on experience with real-world datasets and industry-relevant projects, teaching participants how to extract insights, build predictive models, and make data-driven decisions.

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The Certification Program in Digital Banking is an online course designed for students to grasp the essential skills and knowledge required to thrive in the dynamic landscape of digital banking. This course goes beyond traditional banking practices, focusing on the integration of cutting-edge technologies and digital solutions that are reshaping the financial industry. 

The Certification Program in Digital Banking training covers topics such as fintech innovations, blockchain applications, digital payment systems, cybersecurity in banking, and data analytics for informed decision-making. By the end of the Certification Program in Digital Banking online course, students will have gained a deep insight into the strategic, and technological aspects of digital banking. 

Also Read: Banking And Insurance Courses & Certification.

The Machine Learning for Engineering and Science Applications certification course offers a duration is 12 weeks which focuses on providing a a broad overview of modern algorithms in ML for engineers. This course covers the key aspects of machine learning such as the basics of ML, Linear Algebra, Numerical Computation, Neural, and Autoencoders.

Students gain hands-on training from industry experts in applying ML algorithms in the engineering field. The Machine Learning for Engineering and Science Applications certification by NPTEL intended audience is postgraduate students in all engineering and science fields and mature senior undergraduate students can also pursue this course.

Also Read: Online Machine Learning Courses & Certifications

Artificial Intelligence has solidified as a technology that can impact businesses substantially all across the globe. The Business of AI certification by Emeritus is developed to provide learning on how best to utilize this technology in multiple ways to obtain real value for your business. This course will help you make use of AI effectively for growth.

Organisations are openly embracing AI technologies because they realise it can help them revolutionise business processes and achieve unprecedented results. The Business of AI certification course will equip you with comprehensive knowledge of Artificial Intelligence and Machine Learning. It will allow you to make wise judgments about AI and generate value for your organisation.

The Business of AI certification by Emeritus is theoretical as well as practical with a 30-day AI implementation plan in the curriculum. The prestigious London Business School has developed the course. This course is designed to give you a robust understanding of the features of AI technology and give you clarity on your data sources so that you use this knowledge to grow your business effectively.

Aspirants learn to develop communication skills in a data-driven culture by taking up the Data Science (Online) programme. It is an executive programme extended by Haas Berkeley’s Executive Education (ExecEd). Learners will use mathematical and statistical concepts to analyze and interpret data and analyze data using Jupyter Notebook – an interactive open-source platform used for computational analysis.

A weekly ‘prep session’ is arranged to introduce the preceding module for candidates’ understanding. Over ten weeks of Haas UC Berkeley ExecEd's Data Science Online course, students will be exposed to data manipulation techniques, with various company examples and industry case studies, spread across the eight learning modules. 

A verified certificate by Haas UC Berkeley also becomes available once candidates fulfill the qualification criteria. Moreover, the Data Science Online certification course is led by some of the top industry experts on digital transformation through live webinars and sessions, along with academic experts. 

Throughout the online programme, students can engage in peer discussions under the supervision of the program facilitators and access different quizzes and assignments to revise the topics learned in the course.

In the Machine Learning Fundamentals certification course by edX using real-world problem statements students will learn to figure out the features of topics in the corpus, classify the given images, group people according to various profiles depending on their personality and also capture the semantic structure of words available. With the information learnt in the Machine Learning Fundamentals training, the students will learn to analyze different types of data and also they will be able to build predictive and descriptive models. The Machine Learning Fundamentals certification has the following included in its curriculum- conditioned probability, linear models, random forests, reduction, bagging, and many other topics that deal with the domain of machine learning. 

The examples that will be provided in the Machine Learning Fundamentals programme will be in the language of Python and will use Jupyter Notebooks. The candidates will also be practising various types of algorithms using data science and its applied tools. The Machine Learning Fundamentals online course will provide students with both discriminating and generative models. There are 2 tracks namely the audit track and the verified track into which the candidates may enrol. The candidates may access the course for a lifetime by paying a fee which is called the verified track, and the audit track asks for no fees but offers limited period access to the course.

Throughout this programme, the candidates will enhance their skills in machine learning and will learn to apply these skills to problems of the real world, related to the field of business. This online programme of Imperial Machine Learning for Decision Making is provided to the candidates through the platform of Emeritus and is brought to them by the Imperial College Business School. 

The participating candidates will gain exposure to analytical techniques, for example, regression, classification and clustering and learn how to apply these techniques to real-life issues arising in the field of managing a business. The students will be provided with opportunities to have conversations with experts who have deep technical expertise about the subject, which will ultimately help them in having a greater impact on the company they work in. 

This course is for a duration of 10 weeks wherein the students will not only be learning the theoretical know-how but also the practical applications of the concepts learnt.  

With machine learning and artificial intelligence gaining immense popularity, the skills of future-ready analysts, engineers, technologists, and data managers also must expand, shift,  and advance. Machine Learning: Fundamentals and Algorithms online course will provide you with ample technical knowledge and analytical methods to prepare you for the next gen of innovation.

Organised around 10 modules, the Machine Learning: Fundamentals and Algorithms course help you deepen and broaden your Python programming skills for ML applications. You can further apply this technical knowledge to the industry verticals currently integrating machine learning and AI into their digital drivers.

The Machine Learning: Fundamentals and Algorithms programme is designed for participants with Python programming experience who want to learn more about the underlying mathematics. Upon programme completion, you will receive a verified digital certificate from Carnegie Mellon University. 

MIT xPRO’s Designing and Building AI Products and Services programme is designed for entrepreneurs and tech professionals in AI. The course offers holistic insights into AI’s applications and design principles implied across numerous industries. Offered in partnership with Emeritus, this 10-week training primarily revolves around explaining AI tech tools and fundamentals, allowing you to explore the design processes involved in various AI-based products.

As you progress through the Designing and Building AI Products and Services course syllabus, you’ll learn how to create AI-based product proposals to present to your internal investors or stakeholders. MIT’s renowned faculty use in-depth examples and data to teach you the numerous stages in designing AI-based products, along with the essentials of deep learning and Machine Learning algorithms. Upon course-end, you’ll know how to use these to solve practical problems.

Moreover, the Designing and Building AI Products and Services online course enhances your knowledge via demos, design-support activities, and crowdsourcing. You’ll gain market-ready skills to evaluate AI solutions’ opportunities and make the cases for them. 

Lastly, MIT xPRO will also award you the Designing and Building AI Products and Services certificate, should you meet its eligibility requirements. 

Artificial intelligence and machine learning advances run hand in hand with the degree to which quantum computing footprint improves. Thus, it is natural to leverage machine learning capabilities with the advent of quantum computing. This Quantum Machine Learning certification course will explore the underlying principles associated with futuristic technologies. 

The program on Quantum Machine Learning encompasses the advantages of machine learning once it is coupled with futuristic quantum technologies. These have the potential to provide the much-awaited advancements of this industry. Some examples include machine learning and select frameworks in Python. 

This Quantum Machine Learning training program is intended to be delivered across 9 weeks along with an input of 6-8 hours per week by the participants on their own time for optimum results. The University of Toronto is the partner institution for this self-paced course. The video transcripts are in English and the students have an option to get a paid plus official certification. 

The candidates who enroll in any track of the course will be able to progress at their speed. Both tracks - audit and verified may be opted for by the candidates for finishing the course. If the candidates are interested in learning for free without a certificate they may choose the audit track which is open for a limited period of access. For unlimited access, the students should switch over to the verified track by paying some fees.

If you love numbers, are curious to learn to code, and possess strong communication skills, then a career as a data analyst is for you! Since the world is increasingly becoming data-driven and data is useless without the skill to analyse it, the demand for data analysts is soaring. 

Ironhack’s Data Analytics course covers all core concepts of data analytics within a span of 9 weeks if pursued full-time and 24 weeks if pursued part-time. Conducted by industry-best instructors, this in-person training programme can help you start a career as a data analyst even if you do not have previous IT experience. 

The Data Analytics course syllabus is divided into 3 Modules + 60 hours of online learning material as pre-work that will help you become familiar with the course content. The course will be taken in four languages, and at the end of the course, your final project will determine whether you qualify for an interview in the Hiring Week. 

The Introduction to Data Analytics certification course is an 8-week duration programme. The prerequisite for this course is students must be familiar with high-school-level linear algebra, and calculus. They must also know probability theory, statistics, and programming. The certification course offers an extensive curriculum that covers descriptive statistics, inferential statistics, regression, ANOVA, and machine learning.

The Introduction to Data Analytics certification by NPTEL provides an in-depth understanding of elements that will help in making the physical well-being and athletic prowess of individuals. The certification course helps students to get equipped with the required knowledge and skills to function effectively in the field. 

Also Read: Online Data Analysis Courses & Certifications

If you are an aspiring entrepreneur looking to make your first entrepreneurial venture a success or a business owner wanting to take your business to the next level, the Entrepreneurship Acceleration online course by Wharton is the perfect course for you. This programme aims to train you in a set of skills that will help you to materialise your idea and increase the likelihood of your success. 

Wharton, in association with Emeritus, has designed the Entrepreneurship Acceleration Programme: Scaling Your Business course, offering flexible learning options so that the candidates can balance it with work conveniently. Moreover, the classes are conducted online while the tutorials and live discussions are recorded so that you can cover them at your pace. 

The Entrepreneurship Acceleration online programme is a two-month course, rife with video tutorials, application-based learning through real-world examples, peer learning sessions and quizzes and assignments. 

Besides, the course is taught by reputed faculty like David Hsu, Karl Ulrich, Lori Rosenkopf, Kartik Hosanagar and Ethan Mollick. After you complete the programme, you will also be eligible to receive a digital certificate of completion.  

The Data Science Foundation Course by Datamites is a high-level online programme designed to teach you the main concepts of Data Science. You will explore the three broad domains of Data Science, i.e., business domain knowledge, data skills/programming/Machine Learning (ML) and Statistics. The International Association of Business Analytics Certification (IABAC) accredits this programme.

The Data Science Foundation certification programme offers intensive two days of Live Virtual Classroom (LVC)/full-time classroom training as per the IABAC syllabus. You will learn via video lessons, case studies, Data Science projects, cheatsheets, datasets, etc., for an in-depth understanding of concepts. You will also receive an IABAC certification in digital format.  

During the Datamites’ Data Science Foundation online programme, you will learn from expert trainers, including industry professionals and PhDs with deep coaching and research experience. You will get an overview of ML with algorithms, basic statistics and applications of Data Science in the top five industry domains. 

The Data Science and Artificial intelligence Course is a 2-months Bootcamp to help you launch your data science career. This course, held on Saturdays and weekday evenings, will cover core topics from Deep Learning to Pandas. You will work in teams equipped with premium tool belts and gauge your Data Science expertise via teachers and peer interactions.

Le Wagon also provides a ‘Data prep week’ right before the Bootcamp commences. In this, you’ll strengthen your Python, OOP, and Iteration skills and develop a robust foundation to study the Data Science Course syllabus. 

Apart from a thorough syllabus, the Data Science part-time training course provides numerous avenues for networking and learning. You’ll get access to Le Wagon’s online education platform for screencasts, lectures, challenges, etc. In addition, Slack groups will be available for tips from professional data analysts, scientists, and exclusive freelance opportunities. 

You will also become a part of Le Wagon’s global community, featuring 11,105 alumni, developers, entrepreneurs, etc. After the Data Science part time online programme completion, you’ll also receive career services through numerous networking events, job fairs, Le Wagon’s career guide, and alumni coaching sessions.

Machine Learning in Business by the Rotman School of Management, University of Toronto is a program that will make a data science team better and more proficient and give the data analysts the opportunity to traverse and communicate their language and mindset to their businesses which in turn will increase the chances of greater business benefits.

Machine Learning in Business being a subsection of Artificial Intelligence implements means that assist the data analyst in examining huge sets of data in every other field whether in healthcare or finance. This course is a thorough run-through to the candidates about machine learning and its numerous methodologies. 

This program ensures that candidates address the managerial doubts but at the same dive into the world of machine learning and learn the various consequences it can have on a business in the future. Machine Learning in Business program is designed to locate fast-growth areas of business via machine learning techniques which includes but is not limited to Support Vector Machines (SVMs) and Natural Language Processing (NLP).

The Machine Learning Foundation certification course is an online course of three-month live projects and six days or three weekends training that covers Python, machine learning algorithms, and deploying machine learning models. The whole Machine Learning Foundation training will take place via an online platform and the candidate will have complete access to that after enrolling in the course. The candidate can get Machine Learning Foundation certification at the end of the course accredited from IABAC. The complete curriculum of the Machine Learning Foundation certification syllabus is structured according to the emerging demand of the industries. 

The Big Data Analytics For Smart Grid certification course is an 8-week course that uses the concepts of Python programming language is an open-source software to demonstrate the use of Big Data Analytics in smart grid systems. The data in today’s world is influenced by the fast developments taking place in cloud computing and digital technology involving human activity, communications, sensors and digital equipment. 

The Big Data Analytics For Smart Grid training will involve case studies and begins with the introduction and importance of such analysis with data collection through intelligent devices, machine learning, deep learning, and its associated algorithms. 

The coursework is intended for both academic based attendees such as students, faculty and industry professionals. This course is supported and framed in collaboration with industries such as IBM and Opal-RT. This Big Data Analytics For Smart Grid programme aims to explore the issues arising in the processing and analysis of large volumes of data which is challenging to be done in a structured way. 

The Machine Learning ML program focuses on the scientific discipline that is related to the genre of Machine Learning and helps the students to develop algorithms to help the students find patterns that are related to make predictions from the domain of empirical data. In the online course on Machine Learning, ML by Swayam, the students would be finding patterns or will be making predictions from the given empirical data. 

The certification program over the course of eight weeks will be focusing on the following- Forms of representation, Examples, demos and exam preparations, Learning enabled by prior theories, Tools and resources + cognitive science, and Machine learning-based artificial neural networks. The Machine Learning ML certification course will be benefiting the students to incorporate the knowledge of machine learning in real-world examples and tree-based inductive learning along with logic programming. The session will be making the candidates professionally ready.

Machine learning, which combines the areas of statistics, optimization, computing, and data mining, is being embraced across sectors due to its capacity to solve issues in the availability of large data sets. The Machine Learning: Practical Applications online course covers a wide spectrum of machine learning methodologies, with a focus on artificial intelligence in current business analytics.

Modern machine learning achievements include its use in commercial activities like recommendation systems (like Amazon and Netflix), search engines, and promotion. In financial companies, machine learning technologies are rapidly being utilized for algorithm-based trading, forecasting consumer behaviour, risk, and compliance. The Machine Learning: Practical Applications Training from the London School of Economics provides a systematic approach to artificial intelligence in current business statistics.

The Machine Learning: Practical Applications syllabus engages with real-world challenges by implementing various machine learning models to large datasets in R, interpreting the predictions, and evaluating these predictions to guide the business.

The Launching into Machine Learning programme is a part of the Machine Learning with TensorFlow specialisation, offered by Google Cloud. This Beginner-level online professional course takes about 14 hours to complete. The course of instruction in English and subtitles are also provided for ease of grasping. 

The Launching into Machine Learning online course is offered by industry-leading professionals who have had multiple years of work experience in Machine learning and Tensorflow. Thus, you can be assured of being trained by the best in class. Through this course, you will understand the essence of deep learning and how to optimise it to mitigate common problems in machine learning. 

The Launching into Machine Learning certification syllabus provides you with repeatable and scalable test datasets perfect for training and evaluation. Moreover, you will learn to evaluate the models through loss functions and performance metrics. What’s more, the flexible schedule allows you to learn at your own pace and convenience. 

Financial Technology: Cryptocurrency, Machine Learning, and Digital Banking certification is only an eight weeks course. This certification is offered jointly by Emeritus and the Imperial College Business School Executive Education which is verified digitally. This certification programme which is online helps develop a broad understanding for people who are bankers and pass on insights towards upgrading technologies in the banking industry. 

Financial Technology: Cryptocurrency, Machine Learning, and Digital Banking training will help the participants in understanding the challenges, driving elements, key players, and trends for building an operational strategy. These 8 weeks of rigorous training will be building up foundational level knowledge in fintech and its components. Finally, the candidates will be coming out with flying colors in the knowledge of blockchain, machine learning, cryptocurrency, and artificial intelligence.

The Feature Engineering certification course is of an intermediary level of training which is a hundred percent online course and it can be viewed on the website of Coursera. The programme is within the easy reach of the enrolled students at zero cost. The training is a part of the course named Machine Learning with TensorFlow on Google Cloud Platform Specialization that is available on Coursera. Aspiring participants who join the online course of Feature Engineering will be able to comprehend several features used for distinct functions in order to make an accurate model of machine learning.

In the Feature Engineering online course, students are not limited to follow a particular set of reading materials and they can learn from the external study matter along with the one provided by the platform within the programme. The programme does not limit students with any fixed schedules or deadlines and participants are allowed to set their own study schedules according to their preferences and requirements.

This intermediate level of the programme can be concluded by spending a total of approximately 8 hours. If the participant successfully completes the curriculum, he or she will be able to receive a certificate for the online course from the platform.

The NUS ACE Wiley programme in Analytics for Talent Management by Wiley NXT provides learning opportunities to all the candidates interested to pursue careers in this field. Candidates will learn about recruitment, compensation planning, workforce planning, employee engagement, improving the efficiency of HR processes and operations, learning administration, and the overall well being of employees through this course. 

The curriculum of this programme is designed by faculty that are experienced and will provide the required knowledge to the candidates. Additionally, the NUS ACE Wiley programme in Analytics for Talent Management certification is ideal for professionals who are working. They can upgrade these field related skills. They can even expect better job opportunities and a hike in salaries after the course completion.