Created by Darahas Muggu - https://www.instagram.com/darahasmuggu

1. What is an AI Engineer?

An AI Engineer focuses on building, integrating, and deploying AI-powered applications, primarily using existing models and platforms.

AI Engineer vs ML Engineer

• AI Engineer: Uses pre-trained models, APIs, agents, and frameworks to build real-world products.
• ML Engineer: Focuses more on data pipelines, training models from scratch, and deep ML optimization.

AI Engineers are closer to product development and application engineering.

2. Core AI Foundations

Before building applications, understand these fundamentals:

• LLMs (Large Language Models)
• Inference vs Training
• Embeddings
• Vector Databases
• RAG (Retrieval-Augmented Generation)
• Prompt Engineering
• AI Agents
• AI vs AGI