Google and Harvard University: Free Courses for AI Specialists
Author - Mansur Ismagulov
The Tech AI
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Free AI courses from DeepLearning.AI, Harvard, Google, and Satish Reddy are presented. The AI For Everyone program covers terminology and ethics. CS50's Introduction to Artificial Intelligence with Python explores algorithms and machine learning libraries. The Accelerated TensorFlow course includes 30 assignments and explains deep learning methods. The Satish Reddy course is suitable for beginners, offering basic concepts with animation.
Artificial intelligence is being widely adopted in business structures, and its use significantly simplifies and optimizes enterprise operations. Therefore, we have compiled a selection of free artificial intelligence courses from major organizations to help improve your company’s or business’s performance.
AI For Everyone by DeepLearning.AI
In this course, you will learn:
— the meaning of AI terminology, including neural networks, machine learning, and data science
— the capabilities of AI
— how to identify opportunities to apply artificial intelligence to solve problems in your organization
— how to work with an AI development team
— how to navigate the ethical and social discussions surrounding artificial intelligence.
CS50's Introduction to Artificial Intelligence with Python by Harvard University
This course explores the concepts and algorithms underlying modern artificial intelligence. Through practical assignments, you will become familiar with the theory behind algorithms, classification, optimization, reinforcement learning, and other topics in artificial intelligence and machine learning.
By the end of the course, you will have experience working with machine learning libraries, as well as knowledge of artificial intelligence principles that will enable you to develop your own intelligent systems in the future.
Machine Learning Crash Course with TensorFlow APIs by Google
This course consists of 30 hands-on exercises, 25 theory lessons, lectures from Google researchers, and interactive visualizations. During the course, you will learn about machine learning methods and how to use TensorFlow APIs.
Upon completion of the course, you will learn:
— the difference between machine learning and traditional programming
— how to build a deep neural network
— how gradient descent works
— what loss is and how to measure it, and much more.
What is Machine Learning by Satish Reddy
Satish Reddy holds a PhD in Applied Mathematics from the Massachusetts Institute of Technology and has 10 years of experience conducting research in applied mathematics and teaching undergraduate and graduate courses at New York University, Oregon State University, and the University of British Columbia.
The course is suitable for beginners and provides explanations of basic artificial intelligence concepts using numerous animated examples and stories, making learning easier for newcomers.
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