Free 5 Artificial Intelligence Course In 2020. Free artificial intelligence courses online. Learn AI, machine learning, deep learning and more with free courses and programs from top institutions. Join now.
What is Artificial Intelligence?
Artificial Intelligence (AI) is a broad branch of computer science related to the construction of smart machines that generally require human intelligence.
AI is an interdisciplinary science with many perspectives, but advances in machine learning and deep learning are changing the pattern in virtually every field of the tech industry. ai courses
Artificial Intelligence Course
There are Lots of free courses available in the market but truth is many of them are crap. So in today’s post I will tell you the best free Artificial Intelligence Course in 2020.
Edureka is an online training provider with the most effective learning system in the world. They help professionals learn trending technologies for career growth. The best part of edureka is almost all courses of edureka are free If you want to enroll artificial intelligence course then.
2. AI For Everyone
About this Course
AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone–especially your non-technical colleagues–to take.
In this course, you will learn: – The meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science –
What AI realistically can–and cannot–do – How to spot opportunities to apply AI to problems in your own organization – What it feels like to build machine learning and data science projects – How to work with an AI team and build an AI strategy in your company – ai courses
How to navigate ethical and societal discussions surrounding AI Though this course is largely non-technical, engineers can also take this course to learn the business aspects of AI.
3. Machine Learning
Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome.
Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI.
In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself.
More importantly, you’ll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you’ll learn about some of Silicon Valley’s best practices in innovation as it pertains to machine learning and AI.
This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition.
Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning).
(iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). The course will also draw from numerous case studies and applications, so that you’ll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.
4. Artificial Intelligence Markup Language (AIML)
Create your own chatbots using the world’s most popular chatbot language.
What You will Learn
How to use AIML (Artificial Intelligence Markup Language) to create your own chatbot
- None – It’s for complete novices
This course is designed for people with absolutely no knowledge of Artificial Intelligence Markup Language (AIML).
It guides you step by step and teaches you how to create a chatbot using the world’s most popular chatbot language. From the very beginning to more advanced features, take it at your own pace, practice and learn from Steve Worswick, the 5 times holder of the Loebner Prize. ai courses
Who this course is for:
- Anyone interested in creating a chatbot either for fun or for a business case.
5. Fundamentals of Deep Learning for Computer Vision
Learn deep learning techniques for a range of computer vision tasks, including training and deploying neural networks. In this workshop, you’ll:
- Implement common deep learning workflows such as Image Classification and Object Detection.
- Experiment with data, training parameters, network structure, and other strategies to increase performance and capability.
- Deploy your networks to start solving real-world problems.
Upon completion, you’ll be able to start solving your own problems with deep learning.
Prerequisites: Familiarity with programming fundamentals such as functions and variables
Technologies: Caffe, DIGITS