Career paths in GenAI - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is a common role focused on building and improving generative AI models?

A Machine Learning Engineer designs, trains, and fine-tunes generative AI models to create useful outputs like text, images, or code.

beginner

What does a Prompt Engineer do in the context of generative AI?

A Prompt Engineer crafts and tests input prompts to guide generative AI models to produce desired and accurate outputs.

intermediate

Why is an AI Ethicist important in generative AI careers?

An AI Ethicist ensures generative AI systems are fair, safe, and respect privacy, helping prevent harmful or biased outputs.

intermediate

What skills are important for a Data Scientist working with generative AI?

Data Scientists analyze data, prepare datasets, and evaluate generative AI model outputs to improve performance and relevance.

beginner

How does a Product Manager contribute to generative AI projects?

A Product Manager guides the development of generative AI products by understanding user needs and coordinating teams to deliver value.

Which role focuses on creating input prompts to get the best results from generative AI?

A Product Manager

B Data Scientist

C Prompt Engineer

D AI Ethicist

Prompt Engineers specialize in designing prompts that guide generative AI models to produce desired outputs.

Who is responsible for making sure generative AI systems are fair and safe?

A Machine Learning Engineer

B Data Scientist

C Prompt Engineer

D AI Ethicist

AI Ethicists focus on ethical concerns like fairness, privacy, and safety in AI systems.

What is a key task of a Machine Learning Engineer in generative AI?

A Training and fine-tuning AI models

B Analyzing user feedback

C Writing marketing content

D Designing user interfaces

Machine Learning Engineers build and improve AI models by training and fine-tuning them.

Which career path involves coordinating teams and understanding user needs for AI products?

A Prompt Engineer

B Product Manager

C Data Scientist

D AI Ethicist

Product Managers lead AI projects by aligning teams and focusing on user needs.

What skill is most important for a Data Scientist working with generative AI?

A Evaluating and preparing data

B Creating input prompts

C Ensuring ethical AI use

D Managing product timelines

Data Scientists focus on data analysis and preparation to improve AI model results.

Describe three key career roles in generative AI and what each role focuses on.

Think about who creates the AI, who talks to it, and who watches over its impact.

Explain why teamwork is important in generative AI projects and which roles typically collaborate.

Consider how building AI is like making a movie with many specialists.