Free Artificial Intelligence Courses & Certifications

Artificial Intelligence (AI) as a domain boasts of long and rich history, a rapidly transforming present, and an actively evolving future. With the Intro to Artificial Intelligence course by Udacity, you will dive deep into the fundamentals of modern AI. Here, you will also explore the representative applications of AI. The instructors use interactive quizzes, rich learning content, exercises, etc., to teach you.

Besides, the Intro to Artificial Intelligence training aims to excite you about the enormous amounts of possibilities and applications available in the field of AI. You will also witness how AI is continuing to broaden the horizons of human capability beyond the imagination of humankind.

This Intro to Artificial Intelligence course is an intermediate-level study. It requires you have substantial probability theory and linear algebra understanding since the training builds upon the same. The free-of-cost programme has an approximate timeline of four months.

Moreover, the Intro to Artificial Intelligence course syllabus comprehensively covers probability uncertainty, statistics, Bayes networks, logic, machine learning, planning. The curriculum also focuses on computer vision and image processing, robot motion planning, robotics, Natural Language Processing (NLP), and more.

Artificial Intelligence provides students with a platform to learn from AI experts like Sebastian Thrun, Peter Norvig, and others. The course over the period of four months will comprehensively cover the various applications and uses of AI. The online course on Artificial Intelligence by Udacity has been designed by industry experts. The students will be covering the important chapters of  Bayes Nets, Probability, Logic and planning, Constraint Satisfaction, Basics of search, Game playing, and others. The Artificial Intelligence training will comprehensively cover all the details of AI. Practice sessions for the students will be provided. Instructor videos will be made available to the students. The students can learn easily by doing the exercises. The course will be conducted by experts and professionals from the industry. Thus, the Artificial Intelligence course has been designed comprehensively for the students.

Artificial intelligence is the computer science branch that aims to develop machines with the ability to display human intelligence and mimic human actions. It is the future of decision-making for humans and the basis of computer learning. The Artificial Intelligence certification by Swayam is a postgraduate level course, helping learners explore artificial intelligence’s broad range of techniques, applications, need and future. 

The Artificial Intelligence certification course designed by GLS University in association with Swayam offers a fluid learning structure. Divided into several modules, the curriculum spreads across 15 weeks, including tests and assignments after every module for maximum retention. The course falls under the ‘Computer Science and Engineering’ discipline, offering invaluable expertise to IT, M.Sc. IT, computer science engineering and MCA students as they become adept at solving complex problems.

The Artificial Intelligence online course also benefits researchers, especially faculty ones, who solve numerous inexactness problems, work with datasets, uncertainty domains, or face conventional problem-solving issues in their work. Offering a vast curriculum, the course equips all candidates with ample knowledge to become fluent AI Artificial Intelligence professionals, and its diverse applications.

The Artificial Intelligence (AI) certification by Edx and Columbia university gives the learners a comprehensive introduction to the fundamentals of Artificial Intelligence (AI).

The Artificial Intelligence (AI) certification course will teach various concepts of Artificial Intelligence (AI) and its application in real-world problems, building smart computer systems and application of AI to practical problems, etc. This course covers the history of AI, intelligent agents, uninformed and heuristic search, logical agents, state-space problem representations, game playing, and constraint satisfaction problems. 

Participants will be given the requisite practical experience by building a basic search agent. They will understand the various aspects of adversarial search by creating a game, constraint satisfaction problems, Markov decision processes, and the basics of machine learning including working on linear regression. The Artificial Intelligence (AI) certification by Edx enables the participants to plunge into Python while resolving AI problems and learning its applications.

An intelligent agent must know how to solve real-world problems. The key to intelligence is creating visualizations of the domain of interest and reasoning with these representations. In this Artificial Intelligence: Knowledge Representation and Reasoning certification course, you will explore various associated algorithms for reasoning and representation formalisms. 

The Artificial Intelligence: Knowledge Representation and Reasoning certification by IIT Madras available on Swayam starts with a basic language of propositions. After that, it moves on to first-order logic, and subsequently, to representations for reasoning about change, situations, actions, and other agents in cases where there is a lack of information. This course is a companion to the course “Artificial Intelligence: Search Methods for Problem Solving” that was offered recently and the lectures for which are available online.

Along with the lectures, Artificial Intelligence: Knowledge Representation and Reasoning online course also provides links to supplementary reading materials. After 12 weeks, you will also have a chance to appear for a proctored exam. Passing this exam will get you a course completion certificate, which you can employ to showcase your skills in Artificial Intelligence.

An Introduction to Artificial Intelligence certification by IIT Delhi is an FDP-approved course that runs for 12-weeks. Based on AI and Data Science, this AICTE study has been developed by the Indian Institute of Technology, Delhi. Students can learn from the video lectures and references given by the mentor of the programme.

Students will learn various concepts, philosophies, and models that fall under the An Introduction to Artificial Intelligence certification course. Per week, one learning module is assigned for the duration of the course. It comprehensively touches on algorithms, reinforcement learning, decision processes, deep learning, artificial intelligence, and Data Science.

Prof. Mausam, Associate professor of Computer Sciences at IIT Delhi and available on Swayam, instructs the course. Candidates need to pay a fee to write the certification exam. For the An Introduction to Artificial Intelligence certification, learners need to secure an average score, which is ascertained through assignments and the written test. Students shall receive an e-certificate for fulfilling the requirements.

The Artificial Intelligence Search Methods For Problem Solving online course is a 12 weeks program offered by Swayam under the initiative of the Government of India. An autonomous agent should be capable of solving issues in order to behave intelligently. They should be capable of making decisions that change a given circumstance into a desired or target condition. To find the ones that work, the agent must be able to imagine the consequences of its actions. This first section of the Artificial Intelligence course covers a wide range of search strategies that agents may use to solve problems.

In the second section of the Artificial Intelligence Search Methods For Problem Solving training: Reasoning and Knowledge representation, candidates will learn how an agent may represent its domain and explain what it understands. The course provides a solid basis for artificial intelligence from which the student may develop their understanding. The third section of the Artificial Intelligence Search Methods For Problem Solving syllabus provides a somewhat different framework for problem-solving, wherein the reasoning processes and previously stated search can coexist.

With the need for accessing personal data increasing, it is essential for you to excel in protecting user privacy. While there are umpteen privacy use cases unsolved, in recent years, privacy-preserving technologies have developed. The Secure and Private AI certification course introduces you to three groundbreaking privacy-preserving technologies, including differential privacy, federated learning, and encrypted computation.

You will also master the usage of OpenMined's PySyft and deep learning tools such as PyTorch. These offer distributed and cryptographic technologies for safely training Artificial Intelligence (AI) based models on distributed private data. You can also participate in Facebook’s Secure and Private AI Scholarship Challenge. It will help you enrol in the Secure and Private AI training and win the Deep Learning or Computer Vision Nanodegree programme scholarship.

Secure and Private AI programme from Facebook is an advanced-level free course. It runs for nearly two months and provides rich learning content, interactive quizzes, a self-paced learning approach, and industry professionals’ mentorship. Besides, you will learn by doing exercises.  

The Artificial Intelligence for Robotics certification course is a free course of two months, where the training will be provided via an online platform. The course is offered by Georgia Tech Masters in Computer Science. The course will include the final project as the evaluation criteria for the certification. The Artificial Intelligence for Robotics training provided is of the advanced level. This course will cover the fundamentals of artificial intelligence, such as planning and search, probabilistic inference, localization, control, and tracking, focusing on robotics. The candidate will get Artificial Intelligence for Robotics certification as the course will end. The course will be taught by the industry pros themselves. In total, the Artificial Intelligence for Robotics certification syllabus contains six lessons that will be covered in two months.

Problem-solving for humans can be a tough nut to crack, and that is why certain approaches to problems can be tweaked for efficient resolution. Problem-solving in the field of artificial intelligence is not confined to a single approach but many. Problem solvers may be based on memory, search, reasoning, and knowledge representation. In AI: Constraint Satisfaction certification course, the approach to problem-solving by posing them as constraint satisfaction problems has been discussed lucidly along with the general methods to solve them. 

AI: Constraint Satisfaction certification by IIT Madras. The course is taught by renowned IIT Madras faculty Prof. Deepak Khemani. Throughout this course, candidates will learn how a user poses a problem as a CSP, and then calls an off-the-shelf solver. This course carries two credits and will teach candidates about the general approaches to solving finite domain CSPs while exploring how search can be clubbed with constraint propagation to determine solutions in the field of Artificial Intelligence.

The AI: Constraint Satisfaction online course is a companion to Artificial Intelligence: Search Methods for Problem Solving course and Artificial Intelligence: Knowledge Representation & Reasoning. It has been approved by AICTE as an FDP course to upskill the faculty in the current domain.

In the Introduction to Watson AI online course, the applicants will be learning the working principles of using Artificial Intelligence with the help of the mechanisms of IBM Watson. The students will be studying the ways AI works on the IBM platform. The ways of how Watson works with its client will also be covered in the Introduction to Watson AI certification syllabus. The Introduction to Watson AI programme will be delivered in 8 weeks time frame. The module will cover the important topics and will help the candidates develop an understanding of-  How IBM Watson AI works, Experience and demonstrate AI in action yourself using Watson, Common use cases for AI, Fundamentals of AI and Watson machine learning and others. For making the course accessible subtitles are available and also lecture videos, quizzes and assignments have been provided. The programme is having provision of self-paced learning.

This story-driven course of Data Ethics, AI, and Responsible Innovation by edX will be taught to the candidates by the experts leading in the field of data science, science and technology studies, innovation, and responsible research with the help of various case studies. The candidates will be taught to look at the original controversies in the world and challenges related to ethical issues possessed by large data. The candidates will be able to understand the complexities and realities by making an ethical decision with a competing interest.

The candidates will get interaction with predictive policing, human autonomy and will get to know about the emerging new approaches in the industry to develop their understanding related to all of the concepts (Artificial Intelligence). The candidates will get experienced instructors like Ewa Ludger, Burkhard Schafer, and Morgan Currie from the University of Edinburgh.

The duration of the Data Ethics, AI, and Responsible Innovation certification by Edx is 7 weeks and 2-3 hours of weekly efforts needed by the candidate. The video transcript of the Data Ethics, AI, and Responsible Innovation certification course will be in English and the level of teaching will be intermediate.

Knowledge-Based AI: Cognitive Systems training is a core programme in artificial intelligence offered by the Udacity learning platform. Since this is an advanced-level course, it involves significant independent work, readings and challenging assignments and projects. 

Moreover, the Knowledge-Based AI: Cognitive Systems curriculum covers the structured knowledge representations, knowledge-based problem-solving methods, along with planning, learning and decision-making. The syllabus includes nine lessons that are further divided into multiple topics. 

The Knowledge-Based AI: Cognitive Systems programme has been designed to fulfil three learning goals. The first goal is teaching the methods, concepts and prominent issues related to knowledge-based Artificial Intelligence (AI). The second goal is to teach the specific abilities and skills required to apply the concepts to designing knowledge-based AI. And the third goal is to understand the relationship between knowledge-based AI and human cognition. 

Additionally, the Knowledge-Based AI: Cognitive Systems online course is a free-to-learn course that will run for an approximate duration of seven weeks and allow you to learn at your convenience, pace, and from the comfort of your home.

The CS50's Introduction to Artificial Intelligence with Python Online Course is an introductory level course that aims at students who are interested in developing knowledge about artificial intelligence or AI. The course will aid students in understanding the concepts of AI and machine learning and their incorporation into Python programming.

The CS50's Introduction to Artificial Intelligence with Python Certification Course offered on the edX platform is taught over a period of 7 weeks in a self-paced manner. The course instructors are David J. Malan and Brian Yu of Harvard University, who will deliver the concepts through online course materials.

The CS50's Introduction to Artificial Intelligence with Python Training Course will acquaint students with the theoretical framework of artificial intelligence and machine learning with the help of practical demonstrations and projects. Students who complete the course successfully would receive a certificate of completion.

The Ethics in AI and Data Science certification course provides an amazing opportunity to all the candidates who want to learn about the fundamentals of AI, data and business ethics. The Ethics in AI and Data Science certification course equips the candidates with the skills needed to develop and combine ethical principles and frameworks within Data Science and Artificial Intelligence to ensure transparency in their business initiatives.

Candidates who want to successfully learn techniques from this course should spend 1-2 hours per week. The course curriculum offered here is a self paced level programme. The Ethics in AI and Data Science certification by edX will teach the candidates introductory level knowledge in Artificial Intelligence and Data Science. Course certification is provided with the edX platform with the logo of the Linux foundation institution. Verified certification is provided after completion of this programme and paying the fees to the platform authority. Students will learn about all the necessary and required information which is needed to excel in their candidates.

The Developing AI Applications on Azure certification by Coursera will equip users to create and work on an Azure Machine Learning Workspace, all to create their models and test run them on the cloud. 

The learners delve into algorithms, types of machine learning. They’ll learn the practical applications of Python for machine learning solutions, as well as certain scientific ecosystem packages which will help you implement machine learning. Along with standardized approaches to data analytic, they’ll learn Microsoft's Team Data Science Approach. 

Another perk of the Developing AI Applications on Azure certification course is that the learners will familiarize themselves with pre-trained and managed machine learning which is offered as REST API's in their suite of cognitive services. Other concepts include facial recognition API, sentiment analysis with the natural language service, implementation of solutions via the computer vision API.   

Created by Learnquest and available on Coursera, the Developing AI Applications on Azure certification course will take the learners through Artificial Intelligence, Machine learning, Data Analytics, Python programming, etc. Hands-on exercises will polish the AI skills of candidates and also equip them to deploy their machine learning models.

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 AI for Leaders certification course by Edx bridges the void between AI and Business. Artificial intelligence is often seen as the inevitable future that will disrupt human life by interfering to an enormous extent. However, on the other hand, AI is also expected to aid human growth and the world economy. Hence, we must learn more about AI and determine how it could help executives and leaders in the future. 

The AI for Leaders certification by edX aims to spread awareness of what AI has to offer in the business world. Professionals who are the decision-makers in their organisations can benefit from the programme and raise their companies’ levels. What’s more, the AI for Leaders online course delves into how Artificial Intelligence can influence and affect the customer base, investors, employees, and operations of a company. 

An AI-powered business model can take your organisation to new heights and in the league of the tech giants like Apple, Alphabet, Amazon, and Uber. The free online AI for Leaders online course uses various teaching aids like video lectures, case studies, exercises, and reading material from top publications to bring more understanding. 

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 AI and Big Data in Global Health Improvement certification course teach the candidates how data sharing with the help of AI and Big Data can lead to global health improvement and patient safety. Its impact was quite apparent during the COVID-19 pandemic. This course will look at the advantages and disadvantages of exchanging healthcare data globally. 

The AI and Big Data in Global Health Improvement certification by Futurelearn and Taipei Medical University are developed by industry experts who shall cover what the future of medical development, care, and accessibility look like when powered by Artificial Intelligence and Big Data. One will also be able to discover what kind of strategies are used by government agencies, and publishers so that they can access the different types of medical datasets.

The AI and Big Data in Global Health Improvement online course will also delve into the future of medical advancement, health care management, and more with the help of industry experts. You'll also learn about the methods that governments, funding bodies, universities, and publishers utilize to gain access to datasets.

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 with 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 programme is supported by IBM which is coming up as the global leader in business transformation through the application of AI.

The Applied AI with Deep Learning online course is provided as a part of the IBM advanced data science certification programme for giving much-needed insights into the models of deep learning for students. The Applied AI with Deep Learning certification syllabus will dive into the fundamentals of linear algebra, neural networks, deep learning frameworks and advanced concepts such as time series forecasting, natural language processing and image recognition. The students will be trained at an advanced level of learning and it provides a sharable and verified certificate upon completion. The Applied AI with Deep Learning by Coursera is provided in the English language with subtitles in many languages and the learning can be done easier with flexible deadlines for submission of projects and assignments.

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.

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.

In this Business implication of AI: A Nano-course certification course, the applicant will understand what artificial intelligence is from the perspective of a leader, as well as how they execute their decisions based on it. During the Business Implications of AI: A Nano-course training for this course, the leaders can learn how to interpret it from the perspective of business strategy, as well as what it is and how it can be used. The candidates will be taught how to implement the strategies during the difficult on-the-spot situation that a business can face and how the leader utilises artificial intelligence to solve that particular situation.

Candidates will be given and awarded a Business Implications of AI: A Nano-course certification by the end time of the programme that they can utilise further to make their career in this respective field or pursue an academic course related to this. This course required approximately two hours a week to complete it whereas candidates can get the deadlines fixed if they got a valid reason to do so. The theoretical and practical perspective will present the complete course that will offer the candidate a better effective and efficient training that he or she can even apply afterwards in their upcoming career.

The Business Implications of AI: Full course certification course is about artificial intelligence from the perspective of a business. Some of the major topics that the programme covers are how artificial intelligence can be used in businesses, what is its importance, how to make crucial strategic decisions related to artificial intelligence for business, etc.

The course is a full-time hundred percent online course that has no deadlines whatsoever. The programme is a beginner-level course that is available in the audit mode or free mode. The Business Implications of AI: Full course certification syllabus of the online programme includes various videos, readings, and quizzes, assessments, etc., and is divided into four weeks. 

The total duration of the programme is approximately 6 hours. Participants who want to get a professional certificate for the Business Implications of AI: Full course online course can get one if they fulfill the eligibility criteria of completing the course.