Generative AI Interviews
Published by O'Reilly Media, Inc.
From beginner to pro
Course Outcomes:
- Learn the skill sets required for each type of AI and machine learning role and evaluate your strengths and weaknesses
- Understand the technical fundamentals of interviews, such as AI tools, AI/ machine learning theory, statistics, and coding assessments.
- Gain skills for acing behavioral interview questions, and how to shape your AI career narrative.
Join expert Susan Shu Chang to give yourself a competitive advantage by learning how to ace the highly selective interview recruitment process and break into the rapidly growing ML field.
What you’ll learn and how you can apply it
- Evaluate your current skills to close any gaps that may prevent you from succeeding in the interview process
- Prepare for technical interviews for GenAI roles
- Prepare for coding exams with tried-and-true resources
- Beef up your resume structure targeted at AI roles
- Frame your past projects and present your portfolio in the best light, even without previous work experience
This live event is for you because...
- You’re a recent graduate who is eager to become an AI practitioner in industry.
- You’re a software engineer or (product) data scientist who is transitioning into an AI or ML role.
- You need an action plan to be a competitive AI job candidate.
Prerequisites
- AI application usage (basic)
- Python programming knowledge (basic to intermediate)
- Machine learning theory and/or statistics (basic to intermediate)
Recommended preparation:
- Watch Introduction to Python: Learn How to Program Today with Python (video)
- Take Data Science Fundamentals Part 2: Machine Learning and Statistical Analysis (video course)
- Watch AI Superstream: Open Source Generative AI Models and Frameworks (playlist)
Recommended follow-up:
- Take Fundamentals of Machine Learning and Data Analytics (live online training)
- Watch Building AI Applications on Google Cloud Platform (video)
Schedule
The time frames are only estimates and may vary according to how the class is progressing.
Day 1
Introduction to AI roles and skill sets (180 minutes)
- Group discussion: What stage are you at in your AI job search?
- Presentation: Overview of the AI and machine learning field; the various roles available in the field; general AI interview process; identifying the gaps between role and skill set; resume structure for AI roles
- Hands-on exercise: Write down your relevant skills
- Q&A
Day 2
What interviews assess and how to succeed at them (180 minutes)
- Group discussion: Since last session, what have you put into practice?
- Presentation: Specific machine learning interview building blocks; real interview questions and what the questions aim to identify; answering questions optimally; improving your AI project portfolio; organizing your past projects and demonstrating your skills during the interview
- Hands-on exercise: Identify interview areas you are most confident about and where you might need additional preparation
- Group discussion: Refine your past portfolio experience
- Q&A
Your Instructor
Susan Shu Chang
Susan Shu Chang is a principal data scientist at Elastic (of Elasticsearch), with previous ML experience in fintech, telecommunications, and social platforms. Susan is an international speaker, with talks at six PyCons worldwide and keynotes at Data Day Texas, PyCon DE & PyData Berlin, and O’Reilly’s AI Superstream. She writes about machine learning career growth in her newsletter, susanshu.substack.com. In her free time she leads a team of game developers under Quill Game Studios, with multiple games released on consoles and Steam.