AI courses

1518 Courses

Pluralsight

Assessing Your Company’s AI Talent Needs

Assessing Your Company’s AI Talent Needs Assembling the right AI team is crucial for organizational success. This course will teach you how to assess your company’s AI talent needs, identify key roles, develop a hiring plan, and foster a culture of continuous learning and innovation. In today's rapidly evolving.

Pluralsight

AI-driven Competitive Analysis

AI-driven Competitive Analysis This course will teach you how to conduct competitive analysis using AI tools and help you prepare a report that shows you how they compare to your product. As product managers or designers, competitive analysis is a huge advantage to understanding how your product or business stacks against the comp.

Pluralsight

Responsible AI for Developers: Fairness & Bias

Responsible AI for Developers: Fairness & Bias This course introduces you to the essential concepts of responsible AI and fundamental AI principles. Delve into practical techniques to identify fairness and uncover biases in AI/ML practices. Learn to mitigate these biases effectively. Explore an array of practical methods and tools designed to.

AWS Skill Builder

AWS Flash - Chalk Talks: Amazon Q

AWS Flash - Chalk Talks: Amazon Q This course provides an overview of the impact of generative AI, as well as common risks and challenges in implementing GenAI applications. The course then dives into Amazon Q and walks through its core components. Course level: Intermediate Duration: 45 minutes This course includes slide content and demo.

AWS Skill Builder

AWS Flash - Generative AI in Action: Real-World Use Cases

AWS Flash - Generative AI in Action: Real-World Use Cases This course provides an overview of generative AI use cases and the business value they offer. It includes real-world applications for generative AI across major industries and case studies. Course level: Fundamental Duration: 75 min Activities This course includes presentations, r.

AWS Skill Builder

AWS Flash - Introduction to Responsible AI

AWS Flash - Introduction to Responsible AI This course provides an overview of what responsible AI is and why it is important in the context of generative AI. Responsible AI refers to the development, deployment, and use of AI in an ethical, transparent, fair, and accountable manner. The course covers core dimensions of responsible AI; establish.

France Université Numerique

Intelligence artificielle pour et par les enseignants

Intelligence artificielle pour et par les enseignants Les applications et technologies d’IA sont maintenant intégrées dans nos usages quotidiens. Elles s’invitent aussi dans l’éducation avec, par exemple, la traduction automatique de textes, le dialogue avec un chatbot pédagogique ou la recommandation automatique de ressources éduca.

Complete Machine Learning and Data Science: Zero to Mastery

Complete Machine Learning and Data Science: Zero to Mastery Complete Machine Learning and Data Science: Zero to Mastery Learn Machine Learning (Artificial Intelligence), Python, Data Science, Data Analysis, Tensorflow, Pandas & more. All using the latest in AI! Categories: Artificial Intelligence Courses, Python Courses.

LinkedIn Learning

Get Ready for Generative AI

Get Ready for Generative AI Course Title: Get Ready for Generative AI Description: Dive into the world of generative AI with this insightful course. Learn the fundamental concepts, explore new capabilities, and understand the emerging issues in the field of artificial intelligence. Provider: LinkedIn Learning Catego.

LinkedIn Learning

Sales Strategy: Using AI and Automation to Sell More

Sales Strategy: Using AI and Automation to Sell More Discover innovative ways to leverage AI and automation to boost your efficiency and success in sales. This comprehensive course offered by LinkedIn Learning covers essential topics including AI applications in sales, customer relationship management, email marketing, lead generation, sales f.

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What is AI course and why is it so interesting?

The topic of artificial intelligence course and machine thinking interested scientists even before the invention of computers, and after the advent of computers it reached a new level. In the 1950s and 60s, issues related to the creation and use of artificial intelligence began to be widely discussed in society.

The answer to this question is also difficult to find because there are no clear criteria for the intelligence of a machine. If this is the ability to make logical conclusions, then the computer has long surpassed humans. When it comes to flexibility and originality of thinking, humans are still superior to even the most modern intelligent devices.

AI is actively used in a variety of fields, the list of which is expanding every year, and not only techies, but also humanists—specialists in project management, advertising and PR, psychologists, economists, and linguists—can find their place in this area.

What can artificial intelligence course programs do?

Modern artificial intelligence technologies make it possible to create devices and programs that:

find the maximum possible solutions to one situation; machine intelligence can quickly analyze all options and calculate which one will be the cheapest, safest, and most effective. The machine’s responses will depend on what task a person has given it. For example, AI courses online can show how to calculate which model or product is more profitable to produce based on data on the cost of consumables and sales volumes.

can answer any questions integrated into their system; at the same time, the machine can not only find a ready-made answer in the database, but also search for it using intermediate leading questions that gradually narrow the search area.

collect and process large amounts of information, analyze it, combine unrelated pieces of information; This is how, for example, the image search system works in Google.

Artificial intelligence is a technology not only of the present, but also of the future, and specialists in this field will not have problems finding employment in the next few decades. Huge investments are already being attracted to this area, which means there will be no problems with remuneration for workers involved in the development, production and implementation of the best AI courses technologies from AI Eeducation.

Contribution to science and culture

Artificial intelligence and the creation of intelligent programs and devices is an area in which new discoveries are constantly being made. By working on artificial intelligence, scientists and engineers are at the forefront of world science, moving humanity forward. In addition, the development of artificial intelligence and its introduction into our lives gives rise to many ethical and philosophical questions, the resolution of which requires not a machine mind, but a human mind capable of creative thinking.

Creation

In the field of creating AI, not only software developers are in great demand, but also people with creative thinking who are able to come up with and promote new ideas. To work in this field, it is important to be able to think outside the box. A separate promising area that a creative person can take up is teaching a machine to create works of art. Already today computers draw pictures, write music and poetry. In the near future, perhaps they will take over the creation of books, films and cartoons.

Mastering new skills

To work in the field of artificial intelligence, you need a good knowledge of mathematics and basic programming. For the study of AI, the two most important branches of mathematics are linear algebra and probability theory. The most popular programming language in this area is Python, followed by R and Lua. Knowledge of the English language will also be useful - the most modern scientific data, articles, reports on achievements and experiments are usually published in English!