All About AI – What Is AI and How to learn it

All About AI: Learning AI is a process of acquiring the knowledge and skills required to design, implement, and operate AI systems. AI learning consists of acquiring and using knowledge to improve algorithms, data structures, and methods. Often, AI learning also includes hands-on experience using AI tools and platforms.

There are a number of ways to learn AI. Some people learn AI by reading books, articles, and other sources of information. Others learn AI by participating in online courses or workshops. Still others learn AI by working with AI tools and platforms.

The best way to learn AI

Our modern technology advances at a breakneck pace on a daily basis. We must quickly adapt to these technological advancements if we are to keep up with them. Artificial Intelligence, which has been used in a variety of fields and is influencing our lives in some way, is the most innovative technology that is currently emerging. Artificial Intelligence has a bright future ahead of it, and its use is growing at a rapid pace.

What Is AI? Artificial intelligence (AI) applications are assisting us in improving and making our lives more comfortable. Artificial Intelligence is becoming a part of our lives, whether it’s smart facial recognition or personal assistants in our smartphones.

all about ai
All about AI – What is AI?

Even the New Education Policy 2020 recognises the importance of AI for children and has included it in all levels of education. Students will have the opportunity to learn topics such as artificial intelligence, design thinking, big data analysis, and machine learning, which will be integrated into their undergraduate education to help train and prepare them for careers in the industry.

In the field of artificial intelligence, there are numerous future job opportunities. If students learn the fundamentals of AI at a young age, they will be well-prepared for future job opportunities in the AI field and will be able to make their parents proud by developing an AI-based system that solves a specific problem that will benefit the entire community.

Concepts of AI that you must know

  1. Good Knowledge of Mathematics

In order to write programmes and algorithms for Artificial Intelligence, students will need a deeper conceptual understanding of mathematics. Students should be familiar with basic math concepts such as linear algebra, calculus, probability, and statistics.

  1. Knowledge of Data Structure & Algorithms

In simple terms, data structure is a method for collecting and organising data so that operations can be performed on it. Assume we have some data with the employee’s name “Rajan” and another data set with his age of 34.

Rajan is a String Data type in this case.

The data type 34 is an integer.

We can easily organise this information as an employee record, complete with the employee’s name and age.
Algorithms, on the other hand, are defined as a finite set of step-by-step instructions written in order to complete a specific predefined task. An algorithm can be written in pseudocode or represented graphically using a flow chart.

  1. Knowledge of Programming Language

Knowledge of programming languages such as Python, Java, and C++ is essential for mastering Artificial Intelligence. You can easily create complex algorithms with the help of a programming language like Python. Python is the most important language you should consider learning. The reason is straightforward. Python is an excellent language for young programmers because of its simple and concise syntax, which is similar to writing commands in English. Python also has a number of libraries designed specifically for AI and machine learning. Tensorflow, Scikit-learn, and other similar programmes are examples.

  1. Learn the Concept of Machine Learning

According to Wikipedia, Machine Learning is a subset of AI that is essentially the study of computer algorithms that improve themselves through experience. Without being explicitly programmed, the Machine Learning algorithm creates a mathematical model based on sample data (training data) for making decisions.

Let’s look at a simple example of how Machine Learning can be used.

Many students use Youtube for learning and entertainment, but you may have noticed that YouTube provides recommendations for videos to watch next. This is accomplished through the use of a machine learning algorithm that is trained with previously watched videos, and then uses that information to build and improve an algorithm tailored to your preferences, and then makes recommendations based on it.

Email filtering, computer vision, space exploration, robotics, information extraction, and other applications use machine learning algorithms.

Concept of AI & ML in an Easy Manner

Troot, India’s First Artificial Intelligence Learning Toy, is a revolutionary product developed by Tinkerly. This Troot product is tailored to children aged 8 and up, allowing them to learn AI and machine learning in a fun and engaging way. The Troot kit includes 8+ interactive projects that can be completed using AI and a fantastic electronics prototype. Hands-on AI learning is now possible thanks to Troot.

Students will learn the fundamentals of AI in a fun and engaging way with the help of Troot. Students will learn how to create a prototype, train and integrate an AI model, and play with their creation.

They can create their own Machine Learning systems and deploy them in Troot-based projects. This product includes Plug & Play electronics, an Android app for help, and a DIY activity Maker kit for an end-to-end experience building multiple AI-based systems outside of the classroom.

We’ve gone over the key concepts that we need to understand before learning Artificial Intelligence. We also discussed how Troot, India’s First Artificial Intelligence Learning Toy, can help your child learn AI.

Conclusion

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