Artificial intelligence (AI) is the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings. The demand for AI talent has exponentially increased in recent years and it’s no longer limited. According to Forbes, AI Skills are among the most in demand for 2020. Our team of experts has done in-depth research and picked up this list for you.
Best Artificial Intelligence Courses List:
These are the best artificial intelligence courses you can take:
Learn artificial intelligence by studying natural language processing, reinforcement learning, predictive analytics, deep neural networks, image processing, the human brain, and more.
Learn to use machine learning in Python in this introductory course on artificial intelligence. Explore the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation.
This professional certificate series combines CS50’s legendary Introduction to Computer Science course with a new program that takes a deep dive into the concepts and algorithms at the foundation of modern artificial intelligence. This series will lead you through the most popular undergraduate course at Harvard, where you’ll learn the common programming languages, then carries that foundation through CS50’s Introduction to Artificial Intelligence with Python.
Understand AI basics, its applications, use cases, and how it’s transforming our lives. Identify various Watson AI services from IBM and what they can be used for. Describe how AI-powered chatbot technology works and its applications.
Learn how to build and incorporate ethical principles and frameworks in your AI and Data Science technology and business initiatives to add transparency, build trust, drive adoption, and lead with trust and responsibility. This course introduces some of the principles and frameworks that put ethics and responsibility into practice in the data analytics profession and offers practical approaches to technical, business, and leadership dilemmas and challenges posed by work in AI and Data Science.
This mini-course introduces you to the process for unit testing Python code, including building and running unit tests and packaging the Python application for distribution.
In this course, you will learn the meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science, learn 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 and, how to work with an AI team and build an AI strategy in your company.
Kickstart your career in artificial intelligence. Learn Python, build a chatbot, explore machine learning and computer vision, and leverage IBM Watson.
In this course you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, understand AI concepts and terms like machine learning, deep learning and neural networks. You will be exposed to various issues and concerns surrounding AI such as ethics and bias, & jobs, and get advice from experts about learning and starting a career in AI. You will also demonstrate AI in action with a mini project.
Learn essential Artificial Intelligence concepts from AI experts like Peter Norvig and Sebastian Thrun, including search, optimization, planning, pattern recognition, and more.
In this course, you’ll learn the basics of modern AI as well as some of the representative applications of AI. Learn about numerous applications and huge possibilities in AI, which continues to expand human capability.
Learn about the fundamentals of Artificial Intelligence in this introductory graduate-level course. It provides a survey of various topics in the field along with in-depth discussion of foundational concepts such as classical search, probability, machine learning, logic and planning.
In this course, you will review the definition and types of machine learning: supervised, unsupervised, and reinforcement. Then you can see how to use popular algorithms such as decision trees, clustering, and regression analysis to see patterns in your massive data sets. Finally you can learn about some of the pitfalls when starting out with machine learning.
In this course, you will learn how deploying AI tools can boost your company’s competitive advantage and help you leapfrog over your competition. Learn how AI is deployed in products and services. Go over the importance of data for developing AI algorithms, as well as machine learning concepts. Anil covers how AI can be deployed to gather market intelligence, improve product recommendations, and offer more personalized digital services.
This Introduction to Artificial Intelligence (AI) is designed to help learners decode the mystery of artificial intelligence and its business applications. This AI for beginners course provides an overview of AI concepts and workflows, machine learning, deep learning, and performance metrics.
This Artificial Intelligence course online using TensorFlow in collaboration with CCE, and IIT Madras helps you master Artificial Intelligence and Machine Learning skills like Data Science, CNN, perceptron, TensorFlow, Neural Networks, NLP, etc via hands-on projects. Learn AI by IIT Madras faculty and enroll in the best Artificial Intelligence program online to become a successful Artificial Intelligence Engineer.
Finally, We hope this list helps you choose the best one for you. Don’t miss to check available discounts for your provider before purchasing the course.