Artificial Intelligence (AI) is one of the most innovative and promising technologies of our time. With applications ranging from facial recognition to autonomous vehicles, AI is transforming the way we live and work. For those interested in immersing themselves in this fascinating world, there are a wide variety of virtual courses available that offer a complete training in AI. In this article, we will explore some of the best AI Artificial Intelligence e-courses available online.
What is AI Artificial Intelligence?
According to Wikipedia, Artificial Intelligence (AI) is a branch of computer science that seeks to develop algorithms, systems, and techniques that allow machines to learn and perform tasks that, until now, were exclusive to humans, such as voice recognition, decision making, language translation and problem solving. Today, AI has become an essential tool in various fields, from medicine to the automotive industry, and its importance continues to grow as technology advances.
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Characteristics of Artificial Intelligence or AI
AI is characterized by its ability to process large amounts of data, identify patterns, and make decisions based on the information collected. Also, the AI can learn and adapt over time, which means it can improve its performance as it collects more data and experience. Another important feature of AI is its ability to perform complex tasks quickly and accurately, making it invaluable in areas such as scientific research and medicine.
¿Where to study The best virtual courses on Artificial Intelligence or AI?
For those interested in learning about Artificial Intelligence, there are several online platforms that offer high-quality courses. Some of the most prominent are Coursera, Udemy, LinkedIn Learning, edureka y FutureLearn. These courses are developed by leading AI universities and companies, and offer industry-recognized certifications.
RECOMMENDED VIRTUAL COURSES ON ARTIFICIAL INTELLIGENCE
IBM Applied AI by IBM
- Platform: Coursera
- Valuation: 4.6
- Number of ratings: 45.4 k
- Duration: 3 - 6 months
- Level: Beginner
- Type: Professional Certificate
The list of topics covered is very extensive and it is one of the most popular courses on the e-Learning platform Coursera.
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Some of the topics are: Machine Learning, Cloud Computing, Python Programming, Data Analysis, Computer Vision, Data Structures, Programming Principles, Algebra, Applied Machine Learning, Data Science, Computer Programming, Graphics computer, computer graphics techniques, deep learning, natural language processing, statistical programming, algorithms, artificial neural networks, machine learning software, theoretical computer science, basic descriptive statistics, exploratory data analysis, other web frameworks, development web, application development, cloud API, computational logic, computational thinking, computer science, design and product, human-computer interaction, interactive design, machine learning algorithms, mathematical theory and analysis, operating systems, product design , software engineering, software engineering tools, software testing, system design, web development tools.
Deep Learning AZ™ 2023: Neural Networks, AI & ChatGPT Bonus
- Platform: Udemy
- instructors: Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Ligency Team
- Valuation: 4.5
- Number of ratings: 43,880
This course will teach you how to create deep learning algorithms in Python with the help of experts in data science and machine learning. Includes templates.
Machine Learning by DeepLearning.AI, Stanford University
- Platform: Coursera
- Valuation: 4.9
- Number of ratings: 14.9 k
- Duration: 1 - 3 months
- Level: Beginner
- Type: Specialization
This course covers skills such as machine learning, probability and statistics, machine learning algorithms, general statistics, theoretical computer science, algorithms, applied machine learning, artificial neural networks, regression, econometrics, computer programming, deep learning, Python programming. , statistical programming, mathematics, TensorFlow, data management, data structures, statistical machine learning, reinforcement learning, probability distribution, mathematical theory and analysis, data analysis, data mining, linear algebra, computer vision, calculus, feature engineering, Bayesian statistics, operations research, research and design, strategy and operations, computational logic, accounting, communication.
IBM AI Engineering by IBM
- Platform: Coursera
- Valuation: 4.6
- Number of ratings: 16.8 k
- Duration: 3 - 6 months
- Level: Intermediate
- Type: Professional Certificate
This course covers skills such as machine learning, computer programming, Python programming, deep learning, computer vision, statistical programming, artificial neural networks, probability and statistics, machine learning algorithms, general statistics, regression, Apache, data management, big data, data mining, algorithms, statistical analysis, theoretical computer science, applied machine learning, computer graphics, computer graphics techniques, basic descriptive statistics, business analysis, correlation and dependency, databases, mathematics, NoSQL, SQL, econometrics, statistical machine learning, estimation, dimensionality reduction, TensorFlow, entrepreneurship, machine learning software, probability distribution, data science, data structures, IBM Cloud, supply chain systems, logistics and supply chain supply.
Machine Learning, Data Science and Generative AI with Python
- Platform: Udemy
- instructors: Sundog Education by Frank Kane, Frank Kane, Sundog Education Team
- Valuation: 4.5
A comprehensive and hands-on tutorial on machine learning and AI with data science, Tensorflow, GPT, OpenAI, and neural networks.
AI in Practice by Delft University of Technology
- Platform: edX
- Type: Professional Certificate
- Courses: 2
In this course, we'll explore how AI can help organizations analyze large amounts of data, identify patterns and trends, and make informed decisions. You will learn how AI can solve complex problems, optimize operations and improve efficiency in different contexts. Additionally, we will discuss the significant implications of AI implementation in terms of improvement strategies, including automating repetitive tasks, improving decision-making, and fostering innovation.
This course is ideal for organizational leaders, IT professionals, academics, and anyone interested in understanding and applying AI in organizations. Join us on this exciting journey and transform your organization with the power of Artificial Intelligence!
AI For Business by University of Pennsylvania
- Valuation: 4.7
- Number of ratings: 280
- Duration: 3 - 6 months
- Level: Beginner
- Type: Specialization
This course covers skills such as machine learning, entrepreneurship, leadership and management, strategy and operations, theoretical computer science, machine learning algorithms, finance, data management, applied machine learning, algorithms, business analysis, human resources, marketing, data analysis, sales, artificial neural networks, deep learning, computational thinking, computer programming, accounting, people management, regulation and compliance, strategy, big data, data mining, data warehousing.
Other topics covered in this course are Feature Engineering, Natural Language Processing, Reinforcement Learning, Auditing, Blockchain, Business Transformation, Clinical Data Management, Customer Analytics, Customer Relationship Management, Customer Success, Database Administration data, databases, decision making, financial analysis, innovation, operating systems, people analysis, research and design, security engineering, software security, systems security, TensorFlow, training.
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Machine Learning, Data Science and Generative AI with Python
- Platform: Udemy
- instructors: Sundog Education by Frank Kane, Frank Kane, Sundog Education Team
- Valuation: 4.5
- Number of ratings: 29,357
A comprehensive and hands-on tutorial on machine learning and AI with data science, Tensorflow, GPT, OpenAI, and neural networks.
ChatGPT Complete Guide: Learn Midjourney, ChatGPT 4 & More
- Platform: Udemy
- instructors: Julian Melanson, Benza Maman, Leap Year Learning
- Valuation: 4.5
- Number of ratings: 12,594
Learn about ChatGPT plugins and 25 powerful AI tools that will boost your productivity and creativity. Includes ChatGPT prompt engineering and AI generation.
AI Design Engineering with Microsoft Azure
- e-Learning platform: FutureLearn
- Company that develops it: CloudSwyft Global Systems, Inc., accredited by Microsoft
- Duration: Approximately 17 weeks, 5-6 hours per week
- Cost: $ 39 / month
- Level: Introductory
This ExpertTrack will help you advance your career in machine learning (ML) and AI engineering. You'll learn the key concepts of cloud computing and how they relate to AI development, take an in-depth look at cloud computing models (IaaS, PaaS, SaaS), discover how the chatbots of the future are being created and you will unlock the programming power of Python.
In addition, you will learn to use cognitive applications and services in the design and implementation of Microsoft Azure AI solutions, and develop Python programming skills for AI. The program includes preparation for the Microsoft Azure AI Fundamentals (AI-900) and Microsoft Azure AI Engineer Associate (AI-100) certification exams, although the cost of these exams is separate.
AWS Certified Machine Learning Specialty 2023 – Hands On!
- Platform: Udemy
- instructors: Sundog Education by Frank Kane, Stephane Maarek, Frank Kane, Sundog Education Team
- Valuation: 4.6
- Number of ratings: 10,171
AWS Machine Learning Certification Prep – learn SageMaker, AI generation, data engineering, modeling, and more.
Deep Learning and Python Programming for AI with Microsoft Azure
- e-Learning platform: FutureLearn
- Company that develops it: CloudSwyft Global Systems, Inc., accredited by Microsoft
- Duration: Approximately 21 weeks, 5-6 hours per week
- Cost: $ 39 / month
- Level: Intermediate
This ExpertTrack offers advanced training in artificial intelligence and deep learning for AI professionals, students, analysts, and engineers looking to take their AI skills and career to the next level.
Through online lectures and hands-on lab environments using software powered by CloudSwyft and Azure, you'll develop the skills to sit for and pass the Microsoft Azure AI Engineer Associate Exam (AI-100).
The cost of this course includes a voucher to take this Microsoft certification exam online. You will learn to apply machine learning to build predictive models for AI and to identify the key concepts that underlie deep learning.
You will then explore how software can be used to process, analyze, and extract meaning from natural language, as well as process images and video, allowing you to understand the world in the same way as humans.
Questions and Answers about Artificial Intelligence
What is the best artificial intelligence course?
The "best" artificial intelligence course can vary according to the needs and objectives of each person. However, platforms like Coursera, Udacity, and edX offer highly rated AI courses, such as Andrew Ng's “Machine Learning Course” on Coursera. It is important to research and review the content and testimonials before deciding.
What should I study to work in artificial intelligence?
To work in artificial intelligence, it is recommended to have a solid foundation in mathematics (especially linear algebra, calculus, and statistics), programming (Python and R are popular languages in this field), and information theory. Furthermore, it is beneficial to study specific areas of AI such as machine learning, neural networks, robotics, natural language processing, among others.
Where can I learn artificial intelligence?
There are multiple platforms and universities that offer courses and specializations in artificial intelligence. Some of the most popular online platforms include Coursera, Udacity, edX, and Khan Academy. In addition, many prestigious universities such as Stanford, MIT, and the University of California at Berkeley offer courses and graduate programs in AI.
What is deep learning?
Deep learning, or deep learning, is a subarea of artificial intelligence that focuses on algorithms inspired by the structure and function of the brain called artificial neural networks. Specifically, deep learning refers to neural networks with three or more layers. These networks are capable of learning and representing data with an increasing level of complexity, making them particularly useful for tasks such as image and speech recognition.
What are the necessary prerequisites to take these Artificial Intelligence courses?
Most AI courses require basic knowledge of mathematics, programming, and statistics. Some courses may be for absolute beginners, while others may require an intermediate level.
Do the courses offer any type of industry-recognized certification?
Yes, of the courses that we include in this list, several offer professional certifications recognized by leading AI companies such as IBM, Microsoft and Amazon Web Services. These certifications can be very valuable in supporting the skills acquired.
How much does it cost on average to take one of these AI courses?
Pricing is not listed for all courses, but those from platforms like Coursera and edX typically range in cost from free (content only) to hundreds of dollars for full professional certifications.
How up-to-date are the contents of these courses with the most recent advances in AI?
Most of these have been updated to the advances that have happened in artificial intelligence of 2023. But it is important that the courses stay up to date with the latest advances in AI, such as ChatGPT and other recent generative artificial intelligence models, and a way To validate this is by looking at the reviews of the latest students, who can mention this in their comments.
Do these courses offer practical projects or real case studies to apply knowledge?
Although not specifically mentioned, most solid AI courses typically include hands-on projects, real-world data studies, and datasets so students can apply the concepts learned in realistic scenarios.
