How to Build Your Career in AI: A Simple Guide

Flashcards covering key concepts from Andrew Ng's guide on building a career in AI, emphasizing skills, project management, and personal growth.

AI

Artificial Intelligence, which is described as the new electricity that will transform all areas of human life.

Project Portfolio

A collection of projects that demonstrates skill progression and expertise in a specific field, particularly in AI.

Technical Skills

Foundational abilities necessary to work in AI, including programming, machine learning models, and software development.

Imposter Syndrome

A common feeling among newcomers to AI where individuals doubt their accomplishments and fear being exposed as a fraud.

Informational Interview

An informal conversation with someone in a job or industry of interest, aimed at gaining insights rather than a direct job application.

Data Science

A field related to AI that focuses on extracting knowledge and insights from structured and unstructured data.

Deep Learning

A subset of machine learning involving algorithms inspired by the structure and function of the brain, particularly neural networks.

Community Support

Having a network of friends, peers, or mentors who provide assistance and encouragement throughout one's career development.

Foundational Skills

The essential skills that form the base for further learning and advancement in AI, including mathematical concepts and programming.

Algorithm

A set of rules or calculations that AI systems follow to perform tasks such as data analysis, classification, or predictions.

Career Growth

The process of advancing in one’s professional life within a particular field, such as AI, through learning and project involvement.

Scoped Projects

Projects that are carefully defined to target specific problems rather than being broad and unfocused.