Collection of 50 AI courses in 2024

Collection of 50 AI courses in 2024

Explore these collection of top 50 AI courses in 2024 from top institutions and E-learning platforms

Welcome to the AI Odyssey! This collection contains the collection of 50 AI courses in 2024 that have been carefully selected to take you through the engaging realms of the artificial intelligence landscape. Ranging from the most basic concepts to the most cutting-edge applications, you'll find a variety of a range of courses that are perfectly tailored to your expertise and interests. Come along on this ride to experience the front-line of AI innovation and exploration. Let's discover a universe of possibilities in artificial intelligence together!

Introduction to Generative AI by Google via Coursera:

Generative AI is a subset of artificial intelligence focused on creating new and original content. The Introduction to Generative AI course offers video presentations. Engage with course material from Google, educator Charles Isbell, and others while enjoying compelling videos that keep you interested and entertained.

Introduction to Artificial Intelligence by IBM via Coursera:

The completion of this comprehensive professional certificate equips the learner with practical skills in artificial intelligence and the application of IBM Watson artificial intelligence technologies.

Supervised Machine Learning: Regression and Classification by Andrew Ng via Coursera:

This course introduces students to the basics of machine learning including how to apply essential models, concepts, and algorithms.

Generative AI and DALL·E by LinkedIn:

This offers a deep dive into generative AI and the revolutionary DALL·E from OpenAI. Curated by industry professionals on linkedIn.

Deep Learning with TensorFlow 2.0 via Udemy:

This course provides participants with a comprehensive overview of the most up-to-date research and development in deep learning using TensorFlow 2.0. This video is made by Holly Grace expert.

CS50AI (Full Review 2024): Best Artificial Intelligence Course?:

Among the AI courses in 2024, this course considered as the best artificial intelligence course. It is an introduction to artificial intelligence with Python.

Udacity's Artificial Intelligence Nanodegree program:

This program provides graduates with solid knowledge of AI algorithms, probabilistic graphical models, and planning and scheduling systems in addition to applied knowledge on how to solve real-world problems.

AWS Generative AI Developer Kit is a paid course:

Generative AI tools and technologies are also explored, and the general principles and practices are also examined.

Harvard University Professional Certificate in Computer Science for Artificial Intelligence:

The Harvard University Professional Certificate in Computer Science for Artificial Intelligence covers basic topics related to AI.

MIT's Professional Certificate Program in Machine Learning & Artificial Intelligence:

Starting at 6,325$; + 2,500$ including elective requirements, this course include machine-learning advanced topics.

Stanford University's 16-week course on AI basics and applications:

Among AI courses in 2024, this course spans areas as machine learning, robotics, computer vision, and natural language processing.

Elements of AI :

It is free online course for the people of every age who may be interested in what AI is, what is possible to do with AI, and what is not and how it works. That means no complicated mathematics or programming either.

Artificial Intelligence Nanodegree program by Udacity:

The program gives graduates all the knowledge they need for solving real-world problems using AI algorithms, probabilistic graphical models, planning and scheduling systems are surveyed.

AI for Everyone by DeepLearning.AI on Coursera:

The course specifically for everyone who wants to learn what AI is but does not have a background behind it. It explains the basics of AI, machine learning, and deep learning, and how to apply this knowledge to solve real-world problems.

Generative AI Fundamentals by IBM on Coursera:

This course make us familiar with Generative models for creating new data and assessing the quality of the generated data are learned in this three-week course.

Generative AI for Data Scientists by IBM on Coursera:

This three-week course teaches data scientists how to build their generative models and new data generations.

AI Foundations for Everyone by IBM on Coursera:

This is the introduction course covering the basics of AI, AI applications, and AI ethics. It is suitable for everyone who may be interested.

AI Foundations for Business by IBM on Coursera:

The eight-hours course is designed for business professionals and explains how AI can be used in business.

AI Product Manager by IBM on Coursera :

The seven-hour course specifically for product mangers will provide them with an understanding of pointing out appropriate AI projects, building and managing AI products.

AI for Healthcare by IBM on Coursera :

The 6-hour course explores the basics of AI in healthcare, patient outcomes, and the benefits of reducing healthcare system and patient costs.

IBM AI for Manufacturing on Coursera :

This course teaches the basics of AI to manufacturing professionals. Using AI to develop products, enhance product quality, and reduce production costs is all taught in IBM's AI course specifically designed for manufacturing professionals.

AI for Retail course on Coursera developed by IBM:

The course is the representation of the basics for AI professionals in retail. Here you can learn to improve customer experience, boost revenue from sales, and reduce costs in your retail business using AI.

Supervised Machine Learning: Regression and Classification by Andrew Ng on Coursera:

This provides a broad introduction to machine learning and some of the essential concepts and applications.

IBM AI for Finance on Coursera:

It is a practical AI course teaching bankers how to apply AI in financial analysis, asset appraisal and selection, and risk and investment management.

IBM Applied AI:

This course offers a professional certificate in artificial intelligence and training on how to use IBM Watson AI technology promptly.

MIT: Designing and Building AI Products and Services, Coursera:

This provides an exploration of the principles and practices of designing and developing products using artificial intelligence.

Stanford University: Probabilistic Graphical Models on Coursera:

The course, is of probabilistic graphical models for inference including exact and approximate algorithms for inference.

Deep Learning Specialization by Andrew Ng:

It is offered by Coursera and entails deep learning where participants explore hands-on deep learning topics such as deep learning frameworks, RNNs, and CNNs.

Stanford University: Machine Learning:

The course is for beginners in machine learning, offering the basics of supervised and unsupervised learning and how they are used to solve real problems.

AI for Everyone by Andrew Ng offered by Coursera:

The course describes the basic terms used in AI, like neural networks and others.

TensorFlow for Artificial Intelligence, Machine Learning and Deep Learning by Coursera: This beginner course is a four-course deeplearning.ai certificate program that shows how to use an open source machine learning framework, and how to make a basic neural network in TensorFlow, among other things.

Artificial Intelligence Nanodegree by Udacity:

This comprehensive beginner-to-intermediate course is designed to provide a full understanding of the major concepts of an AI, along with the practical aspects of training one.

Professional Certificate in Computer Science for Artificial Intelligence by edX:

This beginner-to-intermediate specialization course are designed to give insights to masters about the principles of AI and the tools that enable those principles to work, looking deeply into the details of each design element to clearly understand the underlying principles.

Natural Language Processing Specialization by Coursera:

This beginner and intermediate course provides insights on natural language processing and the ways, as well as reasons, we apply it.

Artificial Intelligence by OpenCourseWare:

This Intermediate course provides excellent knowledge of AI algorithms, machine learning, and probabilistic methods.

Introduction to Generative AI by Google via Coursera:

This intermediate course teaches how to create generative AI and its purpose, focusing on creating new and original content.

Introduction to Artificial Intelligence by IBM via Coursera:

This intermediate course will provide the learner with excellent practical knowledge of AI and IBM Watson AI.

Deep learning Specialisation by Coursera :

This intermediate course introduces deep learning network with learning framework, then introduction into RNN and CNN.

Self-driving Cars with Duckietown by edX:

An intermediate course, which majorly involves self-driving cars through the hand tested approaches.

AI A-Z 2023: Build 5 AI including ChatGPT by Alex Genadinik on Udemy:

From this AI beginner course AI Ai designed to get enrollees up to the speed with AI key concept and intuition training enough to get you going building Ai using Python without previously doing any coding.

Understanding Artificial Intelligence by DataCamp:

The short course is useful for building the basic knowledge of AI.

Google Cloud's Introduction to Generative AI Learning:

This is a free course with quizzes included. It covers the basics of generative AI.

Prompt Engineering Specialization:

Among AI courses in 2024, this course teaches the effective prompting of large language models.

Mastering OpenAI Python APIs:

It is a course with a hands-one experience to OpenAI's APIs, especially ChatGPT .

AI and Ethics in edX:

It is a course exploring the broad ethical considerations of the implications of AI technologies.

Machine Learning for Data Science and Analytics from edX:

This is another course. It is a course based on machine learning in data science .

Robotics and Autonomous Systems:

Find out more about robotics and AI integration in building autonomous systems.

Machine Learning with Python:

The course to master ML fundamentals with the most beloved programming language in machine learning.

AI for Social Good:

The examples of AI and ML applications for the welfare of people which solve global issues.

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