Top Artificial Intelligence Online Courses 2024 Surprise You

Artificial intelligence (AI), is the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings. The term is frequently applied to the project of developing systems endowed with the intellectual processes characteristic of humans, such as the ability to reason, discover meaning, generalize, or learn from experience.

1 Online Artificial Intelligence Courses

2 Artificial Intelligence and Machine Learning Courses

3 Mba Artificial Intelligence Course

4 PG Diploma In Machine Learning And Artificial Intelligence

It has been estimated that by 2030, the AI market will contribute more than $15 trillion to the world economy. There is a huge skill shortage in the field of artificial intelligence therefore if you are entering the workforce, getting skilled in AI can guarantee a promising future-proof career. For those already in the workforce, re-skilling and up-skilling with future-oriented job skills like AI are more relevant now than ever. Here I am mentioning the best online artificial intelligence courses.

Best Online Courses for Artificial Intelligence

Machine Learning by Stanford University (Coursera)
Deep Learning Specialization by Andrew Ng (Coursera)
IBM Applied AI Professional Certificate (Coursera)
IBM AI Engineering Professional Certificate (Coursera)
MicroMasters® Program in Artificial Intelligence by Columbia University (edX)
Artificial Intelligence Nanodegree Programs (Udacity)
AI for Everyone by Andrew Ng (Coursera)
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning (Coursera)
Artificial Intelligence A-Z™: Learn How To Build An AI (Udemy)
Artificial Intelligence Course: Reinforcement Learning in Python (Udemy)
Master the Fundamentals of AI and Machine Learning (LinkedIn Learning – Lynda)
Learn with Google AI – Free AI Courses (Google)
Coursera Artificial Intelligence Courses
Free Artificial Intelligence Courses (edX)
Udemy AI Courses

Best PG Program in AI and Machine Learning

Master of Science in Machine Learning, Carnegie Mellon University.
Computer Science M.S. With a Specialization in Machine Learning, Cornell University
Master of Science in Computer Science With Specialization in Machine Learning, Georgia University of Technology
Data Analytics & Machine Learning Master’s Programs, Duke University
Master of Science in EECS with Specialization in Machine Learning, Massachusetts Institute of Technology
MS in Artificial Intelligence, Boston University.
MS in Computer Science – Artificial Intelligence & Machine Learning, University of Rochester
Masters in Computer Science, University of California, San Diego.
Master of Science (MS) in Machine Learning, Stevens Institute of Technology
MSCS in Artificial Intelligence, Stanford University.

Stanford Online Machine learning Courses

This Stanford Machine Learning Course has been created by Andrew Ng, an expert in AI and Machine Learning, Co-founder of Coursera, founding lead of Google’s deep learning research unit Google Brain, and former head of AI at Baidu, and currently CEO at Landing AI. The popularity of this ML course is so vast that around 3.5 million students and professionals have already enrolled in this course and 93% of them have given it a 5-star rating. Undoubtedly, AI experts often cite this course as the single most important resource for anyone looking to learn AI and ML.

This course introduces learners to the main ideas of machine learning and statistical pattern recognition. It imparts them a good grounding in the mathematical, statistical, and computer science fundamentals that form the basis of automated learning machines.

The course material is very extensive with around 55 hours of content spread over 11 weeks. It covers the following topics:

1 Online Artificial Intelligence Courses

2 Artificial Intelligence and Machine Learning Courses

3 Mba Artificial Intelligence Course

4 PG Diploma In Machine Learning And Artificial Intelligence

Review of linear algebra
Linear Regression with one and multiple variables
Logistic Regression and its application to multi-class classification
Supervised Learning
Regularization to prevent ML models from overfitting the training data
Support Vector Machines
Neural Networks
Backpropagation algorithm for neural networks
Unsupervised Learning
Dimensionality Reduction
Anomaly Detection
Recommender algorithms
Deep Learning
Applying machine learning algorithms with large datasets
Performance of a machine learning system with multiple parts
Best practices for applying machine learning
For programming assignments, the course uses the open-source programming language Octave, which is a simple way to learn the fundamentals of ML.
There is a tutorial included for Octave/MATLAB in the course.

Numerous case studies and applications are included in the course to help learners get hands-on practice.

They get 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.

Key Highlights

Highest rated amongst the top free Machine Learning and AI courses available online
Excellent fit for beginners in the field of artificial intelligence and machine learning
Learn about the most effective machine learning techniques, and gain practice implementing them
Learn about some of Silicon Valley’s best practices in the field of Machine Learning and AI innovation
Gain the practical know-how needed to quickly and powerfully apply ML techniques to new real-life situations and problems
Study the course for free; option to get a paid certificate for showcasing your learning of AI and ML skills.

Artificial Intelligence Course Subjects

Various levels of math, including probability, statistics, algebra, calculus, logic, and algorithms.
Computer science, programming languages, and coding.
Cognitive science theory.
Bayesian networking or graphical modeling, including neural nets.
Physics, engineering, and robotics.

Artificial Intelligence Courses in India

Here is the list of some specialization which one can opt for master’s and doctorate level.

Micro-robotics
Digital Electronics and Microprocessors
Bio-cybernetics
Automation
Signal Processing
Robot Manipulators
Computer Integrated Manufacturing Systems
Robot Motion Planning
Artificial Intelligence
Air Traffic Management Systems
Computational Geometry

Artificial Intelligence Course Cost

Artificial Intelligence and Robotics is an expensive courses in India. Approximately 42% of AI and Robotics colleges in India have a fee structure of more than Rs 5 lakh, around 24% of colleges in India have a fee structure of Rs 3-5 lakh, and 16% of colleges in India are moderately expensive with the fee structure of Rs 2-3 lakh.