Staging environment

From Users to Builders: Transform Yourself for the Age of AI

4.9 (31)

·

2 Weeks

·

Cohort-based Course

Seize valuable opportunities in the era of GenAI by becoming a builder. Dive deep into practical projects and the latest research.

Previously at

Meta
Amazon
Microsoft
Pinterest
Tencent

Course overview

The only course you need to stay ahead in the age of AI

With rapid advancements in Generative AI, are you struggling to:

- Master effective prompt engineering?

- Seamlessly incorporate GenAI into your current workflows?

- Keep up with the ever-changing GenAI landscape?

- Filter out the real insights from the noise of clickbait headlines?


If so, you're not alone. GenAI is shaking things up, creating a new frontier in tech. Traditional resources didn’t prepare us for this shift. Traditional ways of learning are not enough.


To excel in this transformative field, you need a transformative approach. At Superlinear Academy, we believe that simply using or learning GenAI isn’t enough — you need to build with it. Instead of taking a new course whenever a new concept comes up, the builder’s mindset drives you to keep learning and gives you the power to go after the rewards, which creates a flywheel.


That’s why we’ve designed this course from the ground up, with a focus on reshaping your mindset and refining your habits. Our goal is to teach you how to fish, so this will be the only course you need to stay ahead.


Hands-on skills unlock GenAI’s potential, but without understanding the research behind it, today’s skills might become tomorrow’s limitations. In this course, we prepared eight projects that showcase the possibilities as well as helping you shape research understanding.


While you'll learn key techniques and best practices, these are only stepping stones. What really sets you up for long-term success is the mindset shift we help develop.


This is an ambitious promise but we are one of Maven's top rated classes because we deliver this promise.


Here’s what past students have to say:


- Quant Researcher JPMorgan & Chase (Cohort 5):

“This course is so amazing in the following ways: 1) it helps me understand LLMs in such an intuitive way that I know how to effectively build prompts to leverage LLM's strength; 2) it significantly opens my imagination about what I can use genAI to do to level up my productivity, and I actually used it to build an application I use daily that I never thought I can build so easily; 3) it guides me think deeper on what I should focus on in my daily routine to strengthen my core competency as I now have the option to delegate a lot of repetitive & consensus work to my genAI ally. Overall I think it's a great course and I feel so glad that I took it!”


- Principal Data Scientist at DIRECTV (Cohort 4):

“The course is well designed with very insightful high level contents on mindset of using genAI and very specific and tangible practical examples on the low level... Highly recommend for people who are a bit hesitant to start building genAI applications themselves or people who want to see how they can build better genAI applications but lack a framework to do so.”


- Senior Applied Science Manager at Uber (Cohort 3):

“There are many courses teaching you specific tricks but this course helps you build the right mindset and empower you to teach yourself more effectively


- Senior Research Scientist at SLB (Cohort 2):

“I was looking for guidance in integrating GenAI into my day-to-day job and this course provided exactly that. I highly appreciate the instructor's focus on the technical best practices and the intuitive explanation of the "why" behind them. I feel prepared after taking this course.”


- Software Engineer at Zuora (Cohort 1):

“This course not only teaches me many best practices and techniques of Generative AI but also, more importantly, conveys mindsets that can be leveraged in both work and life. The high quality of this course reflects the instructors' expertise and dedication in preparing the materials.”


While we recommend the cohort-based version of the course for the full experience, we understand that flexibility is important. That’s why we also offer a self-paced option: https://www.superlinear.academy/c/ai


Plus, every Maven student gets access to the self-paced course and its community at no extra charge.


Join us, and let’s build the future together!

Who is this course for

01

You know basic Python.

02

You want to apply GenAI to your daily work and boost productivity

03

You aim to get comfortable with building and understanding GenAI

What you’ll get out of this course

Practical GenAI building skills and projects.

Acquire practical skills by building useful GenAI prototypes. Learn prompt crafting, GenAI integration, and tool usage for immediate application in daily tasks. Get personalized feedback to ensure your project's relevance and success.

In-depth understanding of GenAI research.

Gain a solid foundation in LLMs to navigate GenAI developments, spot and seize opportunities, and understand the evolving landscape of AI technology.

Improved daily workflow with GenAI.

Learn to automate complex tasks, enhance efficiency, and maintain your competitive edge with GenAI, transforming your workflow for the better. Overcome common challenges through a "guided mistakes" approach.

Ability to find valuable insights amist clickbait headlines

Get challenged in thinking on your own. Put GenAI development in the perspective of technology history to predict its development and impact in the future.

A Community of Forward-Thinkers

With the purchase of the course, get lifetime access to a member-only community of builders for inspiration, sharing cutting-edge developments, and support in GenAI and career advancement.

This course includes

1 interactive live session

Lifetime access to course materials

36 in-depth lessons

Direct access to instructor

1 projects to apply learning

Guided feedback & reflection

Private community of peers

Course certificate upon completion

Maven Satisfaction Guarantee

This course is backed by Maven’s guarantee. You can receive a full refund within 14 days after the course ends, provided you meet the completion criteria in our refund policy.

Course syllabus

Week 1

Sep 2—Sep 8

    Automate Your Work with GenAI

    4 items

    GenAI Internals and Best Practices

    8 items

Week 2

Sep 9—Sep 15

    Sep

    14

    Optional: Live Q&A

    Sat 9/1411:00 PM—12:30 AM (UTC)
    Optional

    Case Study: Effective Management of GenAI

    10 items

    Become Future Proof

    7 items

    [Optional] Final Project

    1 item

Bonus

    Research: How LLMs are Trained

    7 items

4.9 (31 ratings)

What students are saying

Meet your instructor

Yuzheng Sun, PhD

Yuzheng Sun, PhD

Statsig.com Data Scientist | Ex Tencent Director | Ex Meta/Amazon/BCG | Tech channel with 200k+ subscribers and 5k+ paid members

In Feb. 2023, I've published one of the most influencial articles about LLMs -- The Five Critical Questions about ChatGPT (Eng) -- a year later, most of the predictions in the article has become or is becoming reality.


Even with the fundamental understanding, I still experience the struggle of applying AI, of being reluctant to get hands-on, and of being unaware of the best practices. Until I get to learn from Dr. Yan Wang, who is truely a 10x engineer. His experience in applying GenAI is evident in his blog.


This course is my year long learning journey, distilled and designed for you, to avoid all the mistakes and get results as efficiently as possible.


Follow me on Linkedin or Youtube (Chinese/English)

Yan Wang, PhD

Yan Wang, PhD

Applied Scientist @ Samsara | Olympic Torchbearer | Ex Pinterest/Microsoft | Ex Tech blogger with 100k+ subscribers

Yan Wang has devoted his passion into building working solutions to complicated engineering problems since he got his PhD degree in Columbia University. With emphasis on tailored mechanism, continuous innovation, and specialized tools, Yan consistently delivered algorithms and systems to Photoshop, Bing, and Pinterest, which have benefited millions of people and got widely reported by global media. Yan also contributed to pushing the boundary of science by publishing 20+ papers on top conferences/journals and inventing 10+ US patents. Since the initial appearance of Large Language Models (LLMs, often referred as AI), Yan has been exploring its potential and gradually built a belief that, we are at an intersection of technology revolution similar to steam engines, and people who know how to properly use AI may build a decisive advantage over those who don’t. 

A pattern of wavy dots

Join an upcoming cohort

From Users to Builders: Transform Yourself for the Age of AI

Self-paced cohort

$999

Dates

Sep 2—16, 2024

Payment Deadline

Sep 2, 2034

Cohort 7

$999

Dates

Dec 2—16, 2024

Payment Deadline

Dec 1, 2024
Get reimbursed

Course schedule

4-6 hours per week

  • Live Sessions

    3:00pm - 5:00pm PST. May 12 & 19

    Walkthrough building prototypes together. Learn their implications through LLM research and our technical insights.

  • Offline/Async Courses

    2 hours per week

    Content similar to the live sessions without the need for interactions. Fit your busy schedule and learn on your own pace.

  • Weekly projects

    2 hours per week

    Build your own GenAI solution for your particular use case. Apply the tools and mindsets learned in class

  • Office hours

    2 hours

    Get feedback and coaching on your class project. Learn what other students have built.

Learning is better with cohorts

Learning is better with cohorts

Active hands-on learning

This course builds on live workshops and hands-on projects

Interactive and project-based

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

Learn with a cohort of peers

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

A pattern of wavy dots

Join an upcoming cohort

From Users to Builders: Transform Yourself for the Age of AI

Self-paced cohort

$999

Dates

Sep 2—16, 2024

Payment Deadline

Sep 2, 2034

Cohort 7

$999

Dates

Dec 2—16, 2024

Payment Deadline

Dec 1, 2024
Get reimbursed

$999

4.9 (31)

·

2 Weeks