Learning artificial intelligence (AI) is becoming increasingly important for both technical and non-technical professionals, as it has the potential t
Learning artificial intelligence (AI) is becoming increasingly important for both technical and non-technical professionals, as it has the potential to revolutionize various industries and provide innovative solutions to complex problems. With free AI courses and online certifications, individuals can acquire the necessary knowledge and skills to stay relevant in today’s rapidly evolving job market.
The Machine Learning Specialization by DeepLearning.AI and Stanford Online
The Machine Learning Specialization by DeepLearning.AI and Stanford Online is a foundational online program that provides a broad introduction to modern machine learning. This three-course specialization is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field.
Other notable instructors include Eddy Shyu, curriculum product manager at DeepLearning.AI; Aarti Bagul, a curriculum engineer; and Geoff Ladwig, another top instructor at DeepLearning.AI.
The first course in the specialization is “Supervised Machine Learning: Regression and Classification,” which covers building machine learning models in Python using popular machine learning libraries NumPy and scikit-learn, and building and training supervised machine learning models for prediction and binary classification tasks, including linear regression and logistic regression.
The second course is “Advanced Learning Algorithms,” which teaches building and training a neural network with TensorFlow to perform multiclass classification, applying best practices for machine learning development so that your models generalize to data and tasks in the real world, and building and using decision trees and tree ensemble methods, including random forests and boosted trees.
The third and final course is “Unsupervised Learning, Recommenders, Reinforcement Learning,” which covers using unsupervised learning techniques for unsupervised learning, including clustering and anomaly detection, building recommender systems with a collaborative filtering approach and a content-based deep learning method, and building a deep reinforcement learning model.
By the end of this specialization, one will have mastered key concepts and gained practical know-how to quickly and powerfully apply machine learning to challenging real-world problems. If you’re looking to break into AI or build a career in machine learning, the Machine Learning Specialization is a great place to start.
CS50’s Introduction to Artificial Intelligence with Python by Harvard University
CS50’s Introduction to Artificial Intelligence with Python, offered by Harvard University, is an introductory course exploring modern artificial intelligence concepts and algorithms. The course is free on edX, but students can purchase a verified certificate for an additional fee. The instructors for the course are Gordon McKay, professor of the practice of computer science at Harvard University; Brian Yu, senior preceptor in computer science at Harvard University; and David Malan.
Students will dive into the ideas that give rise to technologies like game-playing engines, handwriting recognition and machine translation. This course teaches students how to incorporate machine learning concepts and algorithms into Python programs through a series of hands-on projects.
Related: A brief history of artificial intelligence
Students will gain exposure to the theory behind graph search algorithms, classification, optimization, reinforcement learning, and other topics in artificial intelligence and machine learning. By the end of the course, students will have experience in libraries for machine learning, and knowledge of artificial intelligence principles that will enable them to design intelligent systems of their own.
AI For Everyone by Coursera in collaboration with DeepLearning.AI
AI for Everyone is an online course offered by Coursera in collaboration with DeepLearning.AI. This course is designed for non-technical learners who want to understand AI concepts and their practical applications. It provides an overview of AI and its impact on the world, covering the key concepts of machine learning, deep learning and neural networks.
The course is taught by Andrew Ng, a renowned AI expert and founder of DeepLearning.AI. He is also a co-founder of Coursera and has previously taught popular online courses on machine learning, neural networks and deep learning. The course consists of four modules, each covering a different aspect of AI. These are:
- What is AI?
- Building AI projects
- Building AI in your company
- AI and society
The course is self-paced and takes approximately 10 hours to complete. It includes video lectures, quizzes and case studies that allow students to apply the concepts they have learned using popular programming languages such as Python.
The course is free to audit on Coursera, and financial aid is available for those who cannot…
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