Cohort 1

Learn from leaders who got into AI at Microsoft, Amazon, Google, and other top companies. We will share actionable tips for 2025.

Cassie Kozyrkov

CEO, Kozyr | AI Advisor | Google's first Chief Decision Scientist

Pascal Bornet, Brian Evergreen, John Kraski

Author of Irreplaceable | AI Expert with 2M+ Followers | Former McKinsey, EY

Carly Taylor

Engineering @ Call of Duty | Gaming | Machine Learning

Noelle Russell

Founder and Chief AI Officer | Former AWS, Amazon Alexa, Microsoft, Accenture

How to get into AI

Microsoft

Amazon

Google

Accenture

Activision Blizzard

Most of the stuff out there for getting into AI is created by people who haven't worked in AI. Compiling lists of links and resources can be helpful, but nothing replaces real stories of people who have navigated the journey of getting into AI firsthand. We've each:• Developed the technical and soft skills necessary to get into AI• Built networks and leveraged LinkedIn and other social platforms to connect with people and jobs• Hired people into AI jobs and can tell you what each of us has looked for, with tips for resumes and interviews Over the span of&nbsp;5 sessions, each with a Q&amp;A hosted John Kraski, you'll be guided through an individual journey into AI, starting from different vantage points:• Pascal Bornet started in finance• Cassie Kozyrkov started in neuroscience• Carly Taylor started as a chemist• Noelle Russell started as an educator• Brian Evergreen started as a musician Then each instructor will share about their experiences hiring into AI roles, with actionable tips for resumes and interviews. Each instructor will share what they would do if they were starting out today without their network and without any work history, and how they would approach getting into AI if they already had a job in another field or function. Each instructor will then be asked 5 questions selected from questions submitted in advance by course students. All sessions are recorded, so no matter where you are, no matter what time-zone you're in, you can learn how to get into AI.

New year, new career. Get into AI in 2025. 

For professionals who didn't study computer science but want to get into AI

For computer scientists looking to stand out and grow

For mid-career professionals looking to pivot into AI

Who is this course for

What you’ll get out of this course

We will dive deep into decision criteria that led to different career choices, with practical recommendations for how you can be thinking through your next step in 2025.

How to decide where you want to work in AI

Each of us took different paths to develop the skills that we leveraged to get into AI at top companies. We will share the combination of resources, studying, and skill-building it took for each of us to reach our goals, and where we would start if we were starting today.

How to develop the right technical and soft skills

You could be the best data scientist, the best product manager, or the best solution architect in the world, and it wouldn't matter if no one knows it or you. We will share how we developed our networks and the roles they played in our careers.

How to build the right network

Standing out for a job well done or for the momentum you might be building toward an initiative can be a tricky balance. We'll share how we got visibility to grow within our different organizations, how we raised our hands for extras assignments, and some of our lessons learned.

How to stand out (the right way)

Sometimes the loudest people on the internet about the future of jobs in the era of AI are people who don't understand AI. We will provide our honest perspectives on where job functions aligned with our areas of expertise are headed and what we recommend.

A glimpse into the future of jobs in the era of AI

As we share our career stories, you will hear real-world examples of actual projects for top companies, revealing what it actually takes to implement AI and simplifying what is often opaque to people outside of AI.

Real-world examples of AI jobs and projects

Gain insights from the passion and experiences of like-minded professionals who are investing in getting into AI.

Network and learn from leaders and fellow participants

Provide a brief description for each module as a way to sell the value of what students will be learning throughout the course.

First Module

Second Module

Third Module

Course syllabus

What people are saying

Meet your instructors

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Tuesdays & Thursdays

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May 7, 2022

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Weekly projects

Course schedule

This course builds on live workshops and hands-on projects

Active hands-on learning

You’ll be interacting with other learners through breakout rooms and project teams

Interactive and project-based

Join a community of like-minded people who want to learn and grow alongside you

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About this course

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