Vibe coding: Your roadmap to becoming an AI developer

Roadmap to Becoming an AI Developer

This blog outlines the core programming languages and frameworks you need to focus on to start your journey into the world of AI development. It highlights Python for its simplicity and extensive library support, as well as C++ for performance-critical applications. Additionally, it introduces key frameworks like TensorFlow for building, training, and deploying AI models, and suggests resources like GitHub Learning Lab and TensorFlow Tutorials to help you build your skills.

Mastering Machine Learning

Machine learning is a crucial component of AI, allowing systems to learn from data and improve their performance. The blog recommends exploring open-source repositories like Keras, NLTK, and OpenCV on GitHub to dive into machine learning projects.

Building a GitHub Portfolio

A strong GitHub portfolio can showcase your AI skills and projects, setting you apart in the developer community. It is a valuable tool for demonstrating your expertise to potential employers or collaborators.

Getting Certified in GitHub Copilot

GitHub Copilot is an AI-powered coding assistant that can help streamline your development workflows. By earning a certification in GitHub Copilot, you can showcase your proficiency in leveraging AI tools for coding. The blog provides steps on understanding GitHub Copilot, exploring certification options, and earning a digital badge to display on platforms like LinkedIn and GitHub profiles.

Explore GitHub Copilot

GitHub Copilot is a powerful tool that can enhance your coding experience by providing real-time assistance. By leveraging its capabilities, you can write code more efficiently and explore new languages and frameworks with ease.

Tags: career development, generative AI, GitHub Copilot, machine learning, programming languages

Written by Gwen Davis @purpledragon85