Your 2025 Roadmap to Becoming an AI Engineer for Free for Vue.js Developers

This page summarizes the projects mentioned and recommended in the original post on dev.to

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  1. Awesome-LLM

    Awesome-LLM: a curated list of Large Language Model

    GitHub’s LLM tutorials for developers (or check out this source too).

  2. SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

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  3. litellm

    Python SDK, Proxy Server (AI Gateway) to call 100+ LLM APIs in OpenAI (or native) format, with cost tracking, guardrails, loadbalancing and logging. [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, VLLM, NVIDIA NIM]

    GitHub’s LLM tutorials for developers (or check out this source too).

  4. CPython

    The Python programming language

    AI starts with math and coding. You don’t need a PhD—just high school math like algebra and some geometry. Linear algebra (think matrices) and calculus (like slopes) help understand how AI models work. Python is the main language for AI, thanks to tools like TensorFlow and NumPy. If you know JavaScript from Vue.js, Python’s syntax is straightforward.

  5. OpenLLM

    Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.

    REST APIs to connect AI models to Vue.js apps (example 1, example 2).

  6. llama-cookbook

    Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services

    Tip: Test prompts in a sandbox first. Use open-source models like Llama to avoid costs.

  7. llm-api-engine

    Build and deploy AI-powered APIs in seconds

    REST APIs to connect AI models to Vue.js apps (example 1, example 2).

  8. datasets_

    Datasets that I generally use for trainings, workshops

    Recommender: Suggest products (dataset: Amazon reviews).

  9. kaggle-environments

    Kaggle competitions for real-world practice.

  10. scikit-learn

    scikit-learn: machine learning in Python

    Machine learning (ML) teaches computers to learn from data, like predicting user clicks. Start with simple models like regression (predicting numbers) and clustering (grouping data). Deep learning uses neural networks for complex tasks, like image recognition in a Vue.js gallery. Tools like Scikit-learn and PyTorch make it easier.

  11. Pytorch

    Tensors and Dynamic neural networks in Python with strong GPU acceleration

    Machine learning (ML) teaches computers to learn from data, like predicting user clicks. Start with simple models like regression (predicting numbers) and clustering (grouping data). Deep learning uses neural networks for complex tasks, like image recognition in a Vue.js gallery. Tools like Scikit-learn and PyTorch make it easier.

  12. OpenAI-DotNet

    A Non-Official OpenAI RESTful API Client for DotNet (by RageAgainstThePixel)

    We don’t mean prompting AI to get better results in your Vue projects, but actually learning about AI, and after that, using it to build cooler, more interactive projects. Think of a Vue.js portfolio with an AI chatbot answering visitor questions or a Nuxt.js blog that personalizes content. Learning AI helps you stand out, opens new job opportunities, and lets you create apps users love. Plus, with free online tools, it’s easier than ever to start in 2025.

  13. NumPy

    The fundamental package for scientific computing with Python.

    AI starts with math and coding. You don’t need a PhD—just high school math like algebra and some geometry. Linear algebra (think matrices) and calculus (like slopes) help understand how AI models work. Python is the main language for AI, thanks to tools like TensorFlow and NumPy. If you know JavaScript from Vue.js, Python’s syntax is straightforward.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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the 1st most popular programming language
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