I would like to learn how to build AI Agents from scratch to help businesses automate several tasks. I work in finance and I am intrigued how AI matched with my knowledge of the industry could enable me to develop something useful. However, i am a beginner in AI, and aside from using chargpt i dont have much experience.
My questions are:
Should i try to build an AI agent just for the finance dept. Considering that is where I work or that would be limiting me?
Do I need to learn how to code with python etc. Or i can create an AI agent even without doing so?
Hi there and welcome. Focusing on building AI agents for the finance department could be a strong starting point since your industry knowledge gives you a significant advantage in identifying valuable use cases. However, this doesn’t have to limit you. The skills and experience gained from developing AI solutions for finance can easily translate to other areas like customer service, marketing, or operations. It’s best to start where you have the most insight and expand later.
As for coding, learning Python is highly recommended if you want full control over building AI agents. Python is the dominant language in AI and has powerful libraries like TensorFlow, PyTorch, and scikit-learn. However, no-code platforms like Microsoft Power Automate, DataRobot, and AutoML tools (e.g., Google’s AutoML) can help you build AI agents without extensive coding. These tools are ideal for beginners but may limit customization and scalability compared to coding from scratch. If you’re serious about AI, starting to learn Python alongside experimenting with no-code tools could be a good strategy.