If you want to become an AI expert, start preparing like this

Today, let's try to understand the AI ​​skills that could make your dream of a high salary a reality in the future.

Experts say that AI is shaping every industry, be it healthcare, finance, education, and manufacturing. Experts say that students who are interested in technology or want to pursue a career in this field can learn AI-related skills along with their studies. The scope of AI is expanding rapidly, both domestically and internationally. It has emerged as a high-paying sector. Understanding this in time and preparing yourself for a career in this field can make the path easier. Learn about the AI-related fields and skills that can open up avenues for your future advancement...

Things You Will Need

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Method

AI and Machine Learning

Machine learning and deep learning are important topics in the world of artificial intelligence. They are used in AI-related technologies. Also, understand the difference between supervised and unsupervised learning. This topic also attempts to understand how algorithms like decision trees, linear regression, and neural networks work.

Where to Learn:

AI, machine learning, and deep learning can be learned through tools and platforms like Python, TensorFlow, and Google Collab. It's important to avoid stressing about learning, but rather taking time out of your studies and learning as a hobby will improve your learning and reduce the burden.

Prompt Engineering: Generative AI

It's important to learn how to create prompts for AI tools like ChatGPT, Gemini, and MidJourney. Many platforms offer this learning experience, and you can master the prompts.

Where to Learn:

Use platforms like ChatGPT and Gemini to learn the basics of writing prompts.

Automation, AI Integration

It's also important to learn the basics of APIs and workflow automation. These are considered essential for AI projects. Excel, Google Sheets, and Notion are key tools. Learning AI chatbots and robotic process automation is essential.

Where to Learn:

You can learn Zapier, Mesh, UiPath, and Microsoft Power Automate for this purpose. With this, you can advance and build a career in technology.

Data Literacy and Data Analysis

Data is the most important factor in the world of AI. Proficiency in data is essential for a data analyst. This subject's primary purpose is to visualize, process, and clean data. For this, knowledge of the basics of statistics is essential.

Where to Learn:

Platforms like Excel, Power BI, Pandas, and Tableau can be used to learn data literacy and data analytics. Data is a crucial aspect.