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.

Practice

1. Which career path in Generative AI focuses on creating new AI models and improving their algorithms?

easy

A. Research Scientist

B. AI Product Manager

C. Ethics Specialist

D. UX Designer

Solution

1. Step 1: Understand the role of a Research Scientist

   A Research Scientist in GenAI works on developing new AI models and improving algorithms.

2. Step 2: Compare with other roles

   AI Product Managers focus on managing AI products, Ethics Specialists focus on responsible AI use, and UX Designers focus on user experience, not model creation.

3. Final Answer:

   Research Scientist -> Option A

4. Quick Check:

   Model creation = Research Scientist [OK]

Hint: Model creation means Research Scientist role [OK]

Common Mistakes:

• Confusing product management with research
• Thinking UX Designers build AI models
• Assuming Ethics Specialists create algorithms

2. Which of the following is the correct job title for someone who designs how users interact with AI systems?

easy

A. Data Engineer

B. Ethics Specialist

C. AI Researcher

D. UX Designer

Solution

1. Step 1: Identify the role focused on user interaction

   UX Designers focus on designing user interfaces and experiences for AI systems.

2. Step 2: Eliminate unrelated roles

   Data Engineers handle data pipelines, AI Researchers develop models, and Ethics Specialists focus on AI fairness and responsibility.

3. Final Answer:

   UX Designer -> Option D

4. Quick Check:

   User interaction design = UX Designer [OK]

Hint: User experience design means UX Designer [OK]

Common Mistakes:

• Mixing data roles with design roles
• Confusing AI Researcher with UX Designer
• Assuming Ethics Specialists design interfaces

3. Consider this code snippet representing a simplified AI team structure:

team = ['Research Scientist', 'Data Engineer', 'UX Designer', 'Ethics Specialist']
roles = {role: len(role) for role in team}
print(roles['Data Engineer'])

What is the output of this code?

medium

A. 13

B. 14

C. 11

D. 12

Solution

1. Step 1: Understand the dictionary comprehension

   The code creates a dictionary with role names as keys and their string lengths as values.

2. Step 2: Calculate length of 'Data Engineer'

   'Data Engineer' has 13 characters including the space.

3. Final Answer:

   13 -> Option A

4. Quick Check:

   Length of 'Data Engineer' = 13 [OK]

Hint: Count characters including spaces for string length [OK]

Common Mistakes:

• Counting without spaces
• Miscounting characters
• Confusing role names

4. The following code tries to assign roles to team members but has an error:

team = ['Research Scientist', 'Data Engineer', 'UX Designer']
assignments = {'Alice': team[0], 'Bob': team[1], 'Charlie': team[3]}
print(assignments)

What is the error and how to fix it?

medium

A. SyntaxError due to missing quotes; fix by adding quotes around team names

B. IndexError because team[3] doesn't exist; fix by using team[2] instead

C. KeyError because 'Charlie' is not a valid key; fix by adding 'Charlie' to team

D. TypeError because assignments is not a dictionary; fix by using list instead

Solution

1. Step 1: Identify the error in indexing

   team has 3 elements indexed 0,1,2. Accessing team[3] causes IndexError.

2. Step 2: Fix the index to valid range

   Change team[3] to team[2] to correctly assign 'Charlie' to 'UX Designer'.

3. Final Answer:

   IndexError because team[3] doesn't exist; fix by using team[2] instead -> Option B

4. Quick Check:

   Index out of range = IndexError [OK]

Hint: Check list indexes start at 0 and max is length-1 [OK]

Common Mistakes:

• Using invalid index beyond list length
• Confusing KeyError with IndexError
• Assuming syntax error instead of runtime error

5. You want to build a GenAI team for a new product. Which combination of roles best covers model creation, user experience, and ethical AI use?

hard

A. Research Scientist, Data Engineer, AI Product Manager

B. Data Engineer, AI Product Manager, UX Designer

C. Research Scientist, UX Designer, Ethics Specialist

D. UX Designer, Ethics Specialist, Marketing Specialist

Solution

1. Step 1: Identify roles for model creation, UX, and ethics

   Research Scientist builds AI models, UX Designer handles user experience, Ethics Specialist ensures responsible AI.

2. Step 2: Evaluate options for coverage

   Research Scientist, UX Designer, Ethics Specialist includes all three needed roles. Others miss one or more key areas.

3. Final Answer:

   Research Scientist, UX Designer, Ethics Specialist -> Option C

4. Quick Check:

   Model + UX + Ethics = Research Scientist, UX Designer, Ethics Specialist [OK]

Hint: Pick roles covering model, UX, and ethics together [OK]

Common Mistakes:

• Ignoring ethics role
• Choosing roles without model creation
• Confusing product management with ethics