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If you are not living under a rock, then you might've heard of artificial intelligence quite often in the past two decades. Although artificial intelligence is not a new thing, its implications have strongly influenced various sectors in the past couple of years, drawing more attention to the tech radar. Today, starting from virtual assistants to self-driving cars, everything is entrenched by artificial intelligence. If you are looking for a long future in technology, then you should take up AI and ML courses to shape your career. Artificial intelligence and machine learning courses pave the way to keep your goals high as a developer and help you get the highest paying jobs. Free online AI courses lay the foundation stone for many more things to come. By taking up AI and ML courses, students can mould their career as professional AI developers and give initial time to see how it works. If you want to learn artificial intelligence in 2021 and looking for the best online course, then you have come to the right place. Analytics Insight has listed the top 10 free AI and ML courses for beginners that help both AI pioneers and non-technical people to learn artificial intelligence.
Andrew Ng, an instructed rated among the top teachers in Coursera is taking up a basic session on artificial intelligence called 'AI for Everyone' to introduce beginners to the technology. Offered by DeepLearning.AI, the course is not for engineers but people who are starting afresh in AI. If you want your organization to become better with artificial intelligence, this course will help your employees, especially, the non-technical colleagues through a general introduction to artificial intelligence. Some of the basic topics covered in the course are the meaning behind common AI terminology including neural networks, machine learning, deep learning, and data science, what AI can realistically do and what it cannot, and how AI is solving real-world problems.
Elements of AI' is a free online course offered by Helsinki University. It is a series of free online courses created by Reaktor and the University of Helsinki. If you are wondering how AI might affect your job and life, want to learn more about AI and how it is created, and want to understand how AI will affect us in the coming years, then the Elements of AI is the best place. The course helps students learn about AI and also stands by them when they create AI methods and models. The course combines theory with practical exercises and can be completed at your own pace. Some of the vital topics touched on in the course are what is AI, AI problem solving, real-world AI, machine learning, neural networks, and their implications.
The free machine learning course is offered by Stanford University and taken by Andrew Ng. Machine learning is the technology that is powering computers to act without being explicitly programmed. In the past decade alone, machine learning has introduced self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Therefore, to begin with, technology, it is very important to learn the basics of machine learning. 'Machine Learning' course provides a broad introduction to the technology along with others like data mining and statistical pattern recognition. Some of the other topics it touches on are supervised learning, unsupervised learning, best practices in machine learning, etc.
Artificial intelligence is the basic technology that laid the foundation stone for other digital trends. It is actively growing according to worldly changes. In this course, you will learn the basics of modern AI and some of the representative applications of AI. Besides, the course also exposes its students to numerous applications and huge possibilities in the field of AI, which continues to expand human capability beyond our imagination.
Artificial intelligence is changing the world upside down. Whether you are a student or a developer, or a technology consultant, understanding AI and having basic knowledge of the technology is very important. In order to contribute to the tech evolution, IBM is unveiling a special course called 'IBM Applied AI' to arm you with skills to works as an AI developer. This online course will give you a firm understanding of AI technology, its applications, and its use cases in diverse industries. Besides learning the basics, students will also earn a professional certificate from Coursera and a digital badge from IBM, recognizing their proficiency in applied AI.
By taking up the basic AI course offered by IBM, you can learn about artificial intelligence and its applications and key concepts including machine learning, deep learning, and neural networks. In this course, you will be exposed to concerns surrounding AI, including ethics, bias, jobs, and impacts on society. Besides, you will also get a glimpse of the future with AI, get advice for starting an AI-related career, and wrap up the course by demonstrating AI in action with a mini-project. Even students who are new to AI can take up this course to shape their tech careers.
Bias and Discrimination in AI open the door to a less explored topic that is rarely seen in the tech industry. By enrolling in the course, you will discover how even computer algorithms may be biased and have a serious impact on our daily life. You will also get first-hand exposure to AI discrimination as international experts in the field, speakers at IVADO's International School of Bias and Discrimination in AI, and others talk about their experience on discriminating artificial intelligence. The main focus of the course is gender, race, and socioeconomic-based bias as well as bias in data-driven predictive models leading to decisions.
Machine Learning Crash Course offered by TensorFlow APIs features a series of lessons with video lectures, real-world case studies, and hands-on practice exercises. By taking up the course, students can learn and apply fundamental machine learning concepts, get real-world experience with the companion Kaggle competition, or visit Learn with Google AI to explore the full library of training resources. Some of the topics touched on in the course are an introduction to ML, framing, descending into ML, feature crosses, etc.
Data Science: Machine Learning course offered by Harvard University teaches students about popular machine learning algorithms, principal component analysis, and regularization by building a movie recommendation system. You will also learn about training data, and how to use a set of data to discover potentially predictive relationships. Some of the other topics offered in the course are the basics of machine learning, how to perform cross-validation to avoid overtraining, several popular machine learning algorithms, how to build a recommendation system, and what is regularization and why it is useful.
Offered by the Indian Institute of Technology Kharagpur, the course covers lessons in the introduction of artificial intelligence, problem-solving by search, searching with costs, heuristic search, searching game trees, knowledge-based systems: logic and deduction, first-order logic, inference in first-order logic, logic programming, GraphPLAN and SATPlan, reasoning with Bayes Networks, and much more.
