Artificial Intelligence Tutorial
This comprehensive 6-hour course provides an introduction to Artificial Intelligence, covering the fundamentals of AI and its applications. Learn the basics of AI and gain a better understanding of the technology. ▼
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Course Feature
Cost:
Free
Provider:
Youtube
Certificate:
No Information
Language:
English
Start Date:
Self Paced
Course Overview
❗The content presented here is sourced directly from Youtube platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [March 06th, 2023]
This Artificial Intelligence Tutorial provides an overview of the fundamentals of Artificial Intelligence (AI). It covers topics such as what AI is, the differences between AI, Machine Learning (ML) and Deep Learning (DL), the topology of a neural network, and how to train a network with backpropagation. The tutorial also includes an in-depth demonstration of TensorFlow and Keras. By the end of this tutorial, learners will have a better understanding of the basics of AI and how to use TensorFlow and Keras to create AI models.
[Applications]
This Artificial Intelligence tutorial is recommended for those who are interested in learning the basics of Artificial Intelligence. After completing this course, learners can apply the concepts learned to develop AI-based applications such as image recognition, natural language processing, and robotics. They can also use the knowledge gained to create AI-based solutions for various business problems. Additionally, learners can use the skills acquired to pursue a career in the field of Artificial Intelligence.
[Career Paths]
1. Artificial Intelligence Engineer: Artificial Intelligence Engineers are responsible for developing and deploying AI-based solutions to solve complex problems. They use a variety of techniques such as machine learning, deep learning, natural language processing, and computer vision to create AI-based systems. As AI technology continues to evolve, the demand for AI Engineers is expected to grow significantly.
2. Machine Learning Engineer: Machine Learning Engineers are responsible for developing and deploying machine learning models to solve complex problems. They use a variety of techniques such as supervised and unsupervised learning, natural language processing, and computer vision to create machine learning models. As machine learning technology continues to evolve, the demand for Machine Learning Engineers is expected to grow significantly.
3. Data Scientist: Data Scientists are responsible for analyzing large datasets to uncover insights and trends. They use a variety of techniques such as data mining, machine learning, and natural language processing to uncover insights from data. As data science technology continues to evolve, the demand for Data Scientists is expected to grow significantly.
4. Robotics Engineer: Robotics Engineers are responsible for designing, building, and programming robots. They use a variety of techniques such as computer vision, machine learning, and natural language processing to create robots that can interact with the environment. As robotics technology continues to evolve, the demand for Robotics Engineers is expected to grow significantly.
[Education Paths]
1. Bachelor's Degree in Artificial Intelligence: A Bachelor's Degree in Artificial Intelligence is a four-year program that provides students with a comprehensive understanding of the fundamentals of AI, including machine learning, deep learning, natural language processing, and robotics. Students will also gain hands-on experience with AI tools and technologies, such as Python, TensorFlow, and Keras. This degree is ideal for those looking to pursue a career in AI or related fields.
2. Master's Degree in Artificial Intelligence: A Master's Degree in Artificial Intelligence is a two-year program that provides students with an in-depth understanding of AI and its applications. Students will learn advanced topics such as computer vision, natural language processing, and reinforcement learning. This degree is ideal for those looking to pursue a career in research or development in AI.
3. Doctoral Degree in Artificial Intelligence: A Doctoral Degree in Artificial Intelligence is a four-year program that provides students with an advanced understanding of AI and its applications. Students will learn advanced topics such as machine learning, deep learning, natural language processing, and robotics. This degree is ideal for those looking to pursue a career in research or development in AI.
4. Certificate in Artificial Intelligence: A Certificate in Artificial Intelligence is a one-year program that provides students with a basic understanding of AI and its applications. Students will learn topics such as machine learning, deep learning, natural language processing, and robotics. This certificate is ideal for those looking to gain a basic understanding of AI and its applications.
The development trends in Artificial Intelligence are rapidly changing and evolving. AI is being used in a variety of industries, from healthcare to finance, and is becoming increasingly important in the modern world. As AI technology continues to advance, the demand for professionals with AI skills will continue to grow.
Course Provider
Provider Youtube's Stats at AZClass
This comprehensive 6-hour course provides an introduction to artificial intelligence, covering the fundamentals of artificial intelligence and its applications. Learn the basics of artificial intelligence and gain a better understanding of the technology. This artificial intelligence tutorial for beginners provides an introduction to the field of artificial intelligence. Learners will understand the basic concepts of artificial intelligence, such as what artificial intelligence is, the difference between artificial intelligence, machine learning, and deep learning, and the topology of neural networks. This tutorial also demonstrates TensorFlow and Keras, two popular open source libraries for AI development.
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