AI for Beginners: A Comprehensive Guide to Building Your First Intelligent Agent

Before AI replaces your job, you will double your skill level. In our beautiful world, if you are a developer and think that your job is safe, you are living in a dreamland. Because AI has the power to write code much faster than you. However, you can increase your productivity by utilizing AI agents to write code for you.

For example, if you are a self-media star, the AI agent helps you to increase your revenue. Like, it will comment on your vlogs and hit the like button. If you’re an entrepreneur, you can utilize AI agents to reduce your efforts to perform tasks. AI agents to solve your problems, and you use them according to actual scenarios.

If you don’t know how to write code or create an application, do not worry. For effective utilization, you need to study how the specific tools and platforms help you to create AI agents. In some situations, you are required to learn some development frameworks, but it is not the priority.

Technology stack

The AI intelligent agent platforms help you to create and publish your agent to a wider audience. If you know some coding skills, your job is much easier compared to an absolute novice.

The Coze and Dify are the two platforms that help you to create and deploy your projects. You can also use other people’s work, but you need to know how to pull open-source projects and modify them according to your needs.

Bolt.DIY and CrewAI are the two multi-agent frameworks that help you create competitive AI agents, but for both tools, you should have a deeper knowledge of programming and development. If you want to produce a commercial version for AI agents, you have to learn the following skills.

Python

If you search on the internet, you can find that most of the AI agents are produced with the help of the Python programming language. So, skills in Python are recommended before starting to develop your AI agents.

PostgreSQL

It is the most widely used database in respect of AI agent development because it contains rich data types such as arrays, JSON, XML, etc.

Large Language Models

You must learn how to operate with large language models such as Llama, Gemini, Claude, and OpenAI.

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