Free Artificial Intelligence Courses & Certifications

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.

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.

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 will receive a certificate of completion if they enrol by paying the course fee. They can also pursue it for free and access it for a limited duration. 

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.

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).

Artificial Intelligence in Marketing Certification is an introduction to Marketing of the new age, as we all know that AI is everywhere now! By harnessing the power of Artificial Intelligence there has been amazing growth potential to cash in and opportunities for enhancing marketing with AI are always expanding exponentially as with other new age technologies.

Artificial Intelligence in Marketing Training helps the candidate understand how businesses can use AI tools to drive their success and gain sustainable competitive advantages. What are the challenges faced by businesses and companies as they implement Artificial Intelligence (AI) into their marketing strategies?

All students get Artificial Intelligence in Marketing Certification developed by the Darden School of Business at the University of Virginia and provided by Coursera.

Developing a comprehensive insight into the level of understanding of artificial intelligence (AI) and how to distinguish between reality and hype Artificial intelligence is the modelling of human intelligence processes by machines, especially computer systems. 

The Artificial Intelligence: Distinguishing Between Fact and Fiction course explains how to learn different elements of human intellect and differentiate between the claims and existing realities of AI. The Artificial Intelligence: Distinguishing Between Fact and Fiction certification was developed by Coventry University, which received five QS Stars for Teaching and Online Learning, which is offered through FutureLearn. Artificial Intelligence: Distinguishing Between Fact and Fiction training is a comprehensive programme that comprises two weeks of open-level digital lessons, operates entirely online with an unlimited membership and teaches about the characteristics of human intellect as well as the reality of AI.

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.  

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.

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.

The Introduction to AI certification course is a comprehensive and cutting-edge programme designed to introduce participants to the world of artificial intelligence and machine learning. With a special emphasis on OpenAI technology, this course offers a unique opportunity to explore the forefront of AI advancements. Whether you are a beginner or have some prior experience, this course is designed to serve a diverse audience.

Introduction to AI certification by PWSkills provides participants with a solid understanding of AI principles, neural networks, computer vision, natural language processing, and GPT models. Through practical projects and hands-on experience using OpenAI tools and APIs, learners will develop valuable skills in AI implementation and application.

Introduction to AI training is entirely online and provides flexibility in learning, allowing you to study at your own pace. Upon completion, you will be equipped with in-demand skills in Open AI and Artificial Intelligence, opening doors to a wide range of exciting career paths.

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