How to Start Studying Artificial Intelligence?

Artificial Intelligence (AI) is shaping the future and creating exciting career opportunities across various fields, from healthcare to finance. If you’re wondering how to start studying Artificial Intelligence, the first step is to build a strong base in subjects like maths, statistics, and programming, which are essential for understanding AI concepts. As you gain skills, you can explore areas such as machine learning and deep learning to get in-depth knowledge in AI. Learning AI might seem challenging, but with the right plan, it becomes more accessible for beginners.

In this article, we will explore what Artificial Intelligence (AI) is, how beginners can start learning AI, and the best ways to study AI after 12th grade. We will also understand various career opportunities in the AI field.

What is Artificial Intelligence (AI)?

Artificial Intelligence (AI) is a sub-part of computer science that focuses on building machines or systems that can perform tasks that usually need human thinking. These tasks include things such as understanding commands and language, identifying patterns, making decisions, and learning from past experiences. Understanding how to start studying Artificial Intelligence begins with learning these basics. 

AI covers many areas, from healthcare, retail, e-commerce, finance, and transportation to entertainment. Some examples of AI include virtual assistants such as Siri, chatbots, Bard and more. It’s a vast field, and gaining more knowledge about it can help you understand how it works and how it differs from related areas like machine learning and data science.

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Types of Artificial Intelligence 

Understanding the types of AI is essential when considering how to start studying Artificial Intelligence. These types can be classified into different types depending on their purpose and ability. These also help us understand the level of intelligence AI systems provide. Given below are the main types of AI based on their capabilities: 

• Narrow AI/Weak AI

Narrow AI is a type of artificial intelligence that focuses on and performs one specific task at a time like searching the internet, driving a car, recognising faces. It is also known as Weak AI. Unlike human intellect it can’t do things outside of its programmed abilities. Most AI systems we use today, like Siri, Alexa, self-driving vehicles, chatbots, are examples of Narrow AI. This AI functions within a set of predefined conditions. 

• General AI/Strong AI 

General AI refers to machines that can think and act like humans, handling tasks such as solving problems, making decisions, and learning new things on their own. It is also known as Strong AI. This AI adapts to different situations, just like a human brain. Some examples of General AI are reasoning, puzzle solving, reading emotions, needs, and thought processes. 

• Superintelligent AI 

Superintelligent AI is much smarter than humans. It can think, learn, and make decisions on its own. One example of superintelligent AI is that it can find cures for diseases faster than any human can and manage global systems like transportation or health services. This includes more areas like maths, science, art, sports, medicine, hobbies, and even handling emotional relationships. It is the most powerful type of AI that wouldn’t only match human intelligence but also be far better at everything we do. 

How to Learn AI for Beginners? 

Many students think, ‘Is AI hard to study?’ The truth is, like any subject, AI also comes with its different studying patterns and challenges, but it becomes manageable with a structured learning plan. The very first step is to build a strong base in basic subjects. However, with the right resources, it becomes easier. 

Given below are the detailed steps on how to learn AI for beginners:

1. Develop an Understanding of Theory 

To study AI, it is important to create a strong base in subjects such as Math, statistics, and data management. These will help you understand how AI actually works. 

• Mathematics 

You don’t need to be a math expert to start with AI; rather, you need to understand basic math concepts like algebra and calculus. Algebra helps you understand AI models, and Calculus is used to create new algorithms, though it is not always needed to use existing ones. 

• Statistics 

Statistics help you understand and analyse data, which is important for evaluating AI models. AI often uses key ideas such as clustering, regression, and classification. 

• Probability 

Probability helps AI make decisions in cases where outcomes are uncertain. It helps predict the slightest results with various algorithms. A basic understanding of this proves beneficial in the longer term.

2. Learn Programming Language

Learning programming is considered the most crucial part of understanding and building AI models. Python and R are known to be the preferred choices because they have strong libraries for AI tasks. Given below are the programming languages that can be added to the list:

• Python– Python is a beginner-friendly language. It has libraries like NumPy and Pandas for data handling. It is considered the go-to language for most AI projects. 

• NumPy – NumPy is used to handle large amounts of datasets in bulk and perform mathematical functions. 

• Pandas – Pandas help manipulate tables and analyse data. 

• Scikit-Learn—Scikit-Learn is a popular library for machine learning, particularly useful for performing tasks such as data analysis.

3. Understand Machine Learning 

Machine Learning is an important part of AI where computers learn how to make decisions from the given data. At first, it helps in understanding simple algorithms like Linear regression that predicts outcomes, cluster analysis that groups similar data points, and logistic regression that handles yes/no tasks. There are many beginner-friendly courses that you can take while practising in daily life scenarios. By doing this, you will get hands-on experience with AI.

4. Study Deep Learning 

Deep learning is an area of machine learning that focuses on neural networks and is used for complex tasks like image and speech recognition. When considering how to start studying Artificial Intelligence, understanding deep learning tools like TensorFlow can help you build advanced AI models to solve complex problems.

5. Master any Sub-Field 

Once you understand the basics, it’s now important to focus on any specific area that suits your interest. You can explore Natural Language Processing (NLP), which includes teaching computers to understand human language; Computer Vision, which helps train AI to analyse videos or images; and Robotics, which deals with AI in controlling robots.

6. Develop Soft Skills 

Though technical knowledge is necessary, developing soft skills like communication skills, problem-solving, and teamwork is also important. Skills like Data Strategy and presentation skills can help in applying AI to solve business problems and explaining AI projects to non-technical people smoothly.

7. Explore Online AI Courses 

There are many online courses available that can guide you on how to start studying Artificial Intelligence. For example, Digital Regenesys offers a flexible Artificial Intelligence course that can help beginners understand essential topics like machine learning and neural networks. This is a great starting point if you’re figuring out how to study AI.

Once you understand the structured approach for learning AI for beginners, most students struggle with the question, ‘How to study AI after 12th’? So, even if you are a fresher or an experienced working professional, Artificial Intelligence is open to all. The certification course by Digital Regenesys provides a great opportunity for those who want to expand their skills in the field of AI. 

Career Opportunities in Artificial Intelligence 

Artificial Intelligence (AI) opens up numerous career paths across various industries, from healthcare and finance to manufacturing and technology. For those exploring how to start studying Artificial Intelligence, understanding the career opportunities available can guide you towards the right path. 

Listed below are the four key career roles in Artificial Intelligence:

• Data Scientist: Data scientists work in industries such as finance, e-commerce, and healthcare, using AI to analyse data and draw insights.They use statistical methods and algorithms to predict trends and solve business problems.

• Machine Learning Engineer: Machine Learning Engineers are sought after in tech, finance, and telecommunications. They design algorithms that help computers learn and make decisions, working on projects like predictive analytics and image recognition.

• AI Consultant: AI Consultants guide businesses in fields like retail, logistics, and marketing to implement AI solutions for better efficiency. They assess company needs and recommend strategies to enhance operations and customer experience.

• Robotics Engineer: Robotics Engineers create smart robots for industries such as manufacturing, healthcare, and space exploration. They integrate AI with mechanical components to automate tasks and improve functionality.

Learn Artificial Intelligence with Digital Regenesys 

Digital Regenesys offers a detailed Certification Course in Artificial Intelligence that helps students with the necessary skills used in AI. This course covers everything from basic programming to advanced topics like machine learning and neural networks. The curriculum offers hands-on learning, helping students apply AI to real-world challenges. With flexible online learning options, this course holds no entry bar, making it suitable for all to enrol.

Conclusion 

Artificial Intelligence (AI) is a field that offers incredible opportunities, from solving complex real-world problems to technological progress. Starting with a strong understanding of basic subjects like maths and programming can help you understand AI better. As you learn more, focusing on areas like machine learning will help you gain proficiency in key skills and career options. With courses like Digital Regenesys’ Artificial Intelligence, you can gain globally recognised certifications and hands-on practical experience to boost your career prospects and succeed in the growing AI industry. We hope this article was helpful to you in understanding ‘How to start studying artificial intelligence’. 

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