March 1, 2024

Best Websites to Learn AI and Machine Learning

Interested in how AI and machine learning are changing the world and want to get in on the action without spending a rupee?

Dive into the best websites to learn AI and Machine Learning for free, where you can start unlocking the mysteries of these amazing technologies without any cost.

10 Best Websites for AI and Machine Learning – Overview

Here’s an overview of the top 10 websites to learn AI and Machine Learning:

S.No.	Website Name	Course Duration	Pricing	Certification	Website Link
1	GUVI	5 months	Paid	Yes	Visit Now
2	Coursera	8 hours	Freemium	Yes	Visit Now
3	edX	7 weeks	Freemium	Yes	Visit Now
4	Udacity	3 months	Paid	Yes	Visit Now
5	Fast.ai	12 weeks	Free	No	Visit Now
6	Kaggle Learn	3 hours	Free	Yes	Visit Now
7	Google AI	Self-paced	Freemium	Yes	Visit Now
8	Stanford University Online	Self-paced	Freemium	Yes	Visit Now
9	MIT OpenCourseware	Varied	Free	No	Visit Now
10	DeepLearning.AI	6 hours	Paid	Yes	Visit Now

Best Websites to Learn AI and Machine Learning for Beginners

Below is the list of best websites to learn AI and Machine Learning for beginners:

1. GUVI

The “Artificial Intelligence & Machine Learning” course offered by GUVI, in collaboration with IIT-M Pravartak, is a comprehensive program designed to master AI and ML skills within 5 months.

The course covers the latest developments in cloud technologies, deep learning, NLP, and machine learning model building and deployment, along with the fundamentals of AI. The curriculum includes live online classes, lifetime access to recorded videos, hands-on workshops, and hackathons.

It’s available in English and Tamil, and upon completion, participants receive a globally recognized certification from GUVI and IIT-M Pravartak.

2. Coursera

The “Introduction to Artificial Intelligence (AI)” course on Coursera, offered by IBM, is designed to provide learners with a comprehensive understanding of AI, its applications, use cases, and how it is transforming our lives. The course is taught in English and is available with subtitles in 20 languages.

The course aims to describe what AI is, explain terms like Machine Learning, Deep Learning, and Neural Networks, and address several issues and ethical concerns surrounding AI. It also provides advice from experts about learning and starting a career in AI.

3. edX

Harvard University’s “CS50’s Introduction to Artificial Intelligence with Python” on edX is an introductory course that delves into the concepts and algorithms foundational to modern artificial intelligence.

This course covers a range of AI topics, including graph search algorithms, classification, optimization, machine learning, large language models, and more.

Students will learn to incorporate these concepts into Python programs and gain experience with libraries for machine learning. The course is designed for learners with CS50 or prior programming experience in Python and is part of the Professional Certificate in Computer Science for Artificial Intelligence.

It’s a self-paced course, estimated to take 7 weeks at 10–30 hours per week.

4. Udacity

The “AI Artificial Intelligence Nanodegree” program on Udacity is a comprehensive course designed to provide in-depth knowledge and hands-on experience in artificial intelligence.

This program, taught by industry experts like Sebastian Thrun, Thad Starner, and Peter Norvig, covers a wide range of AI topics, including optimization algorithms, likelihood functions, minimax search, Bayesian networks, and more.

The course is structured to offer real-world projects and practical applications of foundational AI concepts. It is suitable for advanced learners who have a background in object-oriented Python and intermediate Python programming.

5. Fast.ai

The “Introduction to Machine Learning for Coders” course on Fast.ai, taught by Jeremy Howard, is a comprehensive and free online program designed for individuals with at least one year of coding experience. The course, which spans approximately 24 hours of lessons, is structured to be completed over 12 weeks with an estimated 8 hours of study per week.

It covers essential machine learning models and includes practical exercises for creating them from scratch. Key skills in data preparation, model validation, and building data products are also addressed. The course is based on lessons recorded at the University of San Francisco for their Masters of Science in Data Science program. It assumes a basic understanding of high school math.

6. Kaggle Learn

Kaggle’s “Intro to Machine Learning” course is a beginner-friendly program designed to teach the core concepts of machine learning and guide learners in building their first models.

The course is structured into seven lessons, each focusing on a key aspect of machine learning. These lessons include “How Models Work,” “Basic Data Exploration,” “Your First Machine Learning Model,” “Model Validation,” “Underfitting and Overfitting,” “Random Forests,” and “Machine Learning Competitions.”

It builds on Python and prepares learners for more advanced topics like Machine Learning Explainability and Intermediate Machine Learning.

7. Google AI

The “Machine Learning & AI Courses” offered by Google Cloud Training provide a comprehensive learning experience for those interested in mastering machine learning and artificial intelligence technologies.

These courses are designed to help learners implement the latest machine learning and AI technology, covering a range of tools and platforms like Vertex AI, BigQuery, TensorFlow, Cloud Vision, and Natural Language API. The training is suitable for various job roles, including Data Scientists, Machine Learning Engineers, and Contact Center Engineers.

The courses cover foundational data, ML, and AI tasks in Google Cloud, machine learning on Google Cloud, advanced machine learning with TensorFlow, MLOps fundamentals, ML pipelines, and more.

8. Stanford University Online

The “Machine Learning Specialization” course offered by Stanford Online on edX is a foundational program created in collaboration with DeepLearning.AI.

The specialization provides a broad introduction to modern machine learning, including supervised learning (multiple linear regression, logistic regression, neural networks, decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and best practices for AI and machine learning innovation (evaluating and tuning models, data-centric performance improvement).

9. MIT OpenCourseWare

The “Mathematics of Big Data and Machine Learning” course, offered by MIT OpenCourseWare, provides an in-depth exploration of artificial intelligence and machine learning.

Taught by Dr. Jeremy Kepner and Dr. Vijay Gadepally, this course was conducted during the January IAP 2020 and is categorized under Supplemental Resources at the undergraduate level.

The course content includes a comprehensive overview of AI and a deep dive into machine learning, encompassing supervised learning, unsupervised learning, and reinforcement learning. This lecture series is designed to offer insights into the mathematical foundations and practical applications of big data and machine learning.

10. DeepLearning.AI

“AI for Everyone” by DeepLearning.AI is a non-technical course aimed at providing a broad understanding of artificial intelligence (AI) to a wide audience, including non-engineers.

The course, taught by AI pioneer Andrew Ng, focuses on demystifying AI and explaining key concepts such as machine learning, deep learning, and neural networks. It also addresses the impact of AI on society and navigates through technological changes.

The course covers the workflow of machine learning and data science projects, AI terminology, and AI strategy. It includes case studies and practical advice for building a sustainable AI strategy, making it suitable for non-technical business professionals, machine learning engineers, and data scientists.

Frequently Asked Questions

1. What are the best websites for learning AI and Machine learning?

The best websites for learning AI and Machine learning are GUVI, Coursera, edX, Udacity, Fast.ai, Kaggle Learn, and Google AI.

2. What are some free AI and Machine learning learning websites along with certifications?

edX, Fast.ai, Kaggle Learn, Stanford University Online, and MIT OpenCourseWare are some free AI and Machine learning learning websites along with certifications.

3. Why should I choose website for learning AI and Machine Learning?

You should choose a website for learning AI and Machine Learning because they offer flexibility and have a variety of learning resources. They cater to different learning styles with interactive tutorials, video lectures, and hands-on exercises.

4. How do I choose the right website for learning AI and Machine Learning?

You can choose the right website for learning AI and Machine Learning by considering factors like course content quality, learning style compatibility (videos, interactive exercises), instructor expertise, community support, and pricing.

5. Can a beginner learn AI and Machine Learning effectively through websites?

Yes, beginners can effectively learn AI and Machine Learning through websites. Many platforms offer beginner-friendly courses that start with basics and gradually progress to more complex topics.

6. Are there websites that offer content in multiple languages for learning AI and Machine Learning?

Yes, websites like GUVI, Coursera, edX, and Udacity provide AI and Machine Learning learning content in multiple languages and subtitles.

Final Words

These sites are like your friendly neighborhood tech gurus, making learning AI and machine learning fun. They’re perfect for getting a solid start in these exciting fields without having to spend almost nothing.

Keep checking this article as we will keep updating this space as more websites make space in the heart and study schedule of students preparing for placements and competitive exams.

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