From Users to Builders -- AI-Powered Productivity for Tech Roles


2 Weeks


Cohort-based Course

Master the craft of automating and enhancing your workflows with GenAI. Dive deep into practical prototypes and the latest research

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This course is popular

13 people enrolled last week.

Course overview

Build advanced GenAI prototypes, understand LLM research, automate your work

With the rapid developments in GenAI technology, do you find it challenging to:

- Engage in reliable prompt engineering?

- Integrate GenAI into your existing workflows?

- Keep pace with the fast-evolving GenAI landscape?

- Grasp the breadth and depth of the field?

If you possess basic coding skills, such as reading Python code and installing packages, this course is tailored to help you overcome these challenges and harness GenAI effectively. By the end of this journey, you will:

- Create GenAI prototypes for daily tasks like email automation, Excel manipulation, and generating weekly letters from Jira.

- Leverage the GPT API to extend beyond the capabilities of ChatGPT.

- Master the craft of prompt engineering backed by understanding of LLM research.

- Navigate the research surrounding Large Language Models (LLMs) to grasp their potential and future directions.

- Integrate GenAI with various tools, including terminals, Excel, and cloud applications.

- Retrieve data from platforms like Jira, Confluence, and documents, with a focus on privacy and regulatory compliance.

- Formulate well-informed opinions on the value and potential of GenAI.

Our unique approach emphasizes learning through creating. GenAI is a transformative field where practical skills are as crucial as understanding the underlying research. Without hands-on experience, you can't fully unlock GenAI's potential; conversely, without knowledge of the research, today's skills might soon become outdated.

To foster efficient learning of both theory and application, we've designed a curriculum around six prototypes, encompassing three phases: prototype creation, research integration, and application optimization.

1. Building Useful Prototypes: Start with immediate applications gradually integrating new tools, including the GPT API.

2. Merging Research and Prototypes: After each prototype, dive into relevant research to understand its impact, focusing on practical skills like prompt engineering and debug strategies.

3. Application and Optimization: Learn to apply your skills and research insights to create tailored GenAI solutions, staying abreast of the latest developments.

In addition to technical skills and research insights, you'll embark on a class project to create an application tailored to your needs, supported by our office hours for personalized feedback.

You'll leave with practical building skills, a solid grasp of LLM research, and a comprehensive system to integrate GenAI into your workflow.

Why Choose Us?

Our background in AI research and application, combined with our extensive network in the GenAI sphere, sets us apart.

Since PhD, we've spent years at the forefront of AI technology, pushing the reserach and applications of AI at top tech companies. We are passionate in democratizing AI through knowledge sharing and educations. Our efforts are evident through the hundreds of videos (youtube/@kedaibiao) and articles ( we've created over years.

The first cohort is offered a special price of $500, with the expected price to increase for future cohorts.

Who is this course for


You have basic Python knowledge -- You know how to run a Python program and install a package. You can read and understand basic functions.


Technical roles -- developer, data scientist, technical product managers -- who wants to automate and enhance your daily task


You want to increase your building skills and get a comprehensive understanding of GenAI

What you’ll get out of this course

Hands-On GenAI Building Skills

Acquire practical skills by building useful GenAI prototypes. Learn prompt crafting, GenAI integration, and tool usage for immediate application in daily tasks.

Deep Understanding of Large Language Models (LLMs)

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

Comprehensive GenAI Workflow Integration

Learn to automate complex tasks, enhance efficiency, and maintain your competitive edge with GenAI, transforming your workflow for the better.

Custom Application Project

Apply your skills by creating a unique GenAI application for your work. Get personalized feedback to ensure your project's relevance and success.

A Community of Forward-Thinkers

Join a community of tech professionals for inspiration, sharing cutting-edge developments, and support in GenAI and career advancement.

This course includes

3 interactive live sessions

Lifetime access to course materials

21 in-depth lessons

Direct access to instructor

1 project to apply learnings

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

Expand all modules
  • Bonus


    • Bonus: the Craft of Prompting

What people are saying

        Yuzheng is a highly sought-after thought leader and practitioner within the GenAI community, with a strong following. Trained as a scientist with deep domain expertise and industry experience, his approach to thinking and building from first principles has inspired and challenged me to reconsider problems in ways that are incredibly effective.
Caitlin Cai

Caitlin Cai

AI Company Builder & Investor (Landing AI, XVerse) | Author of the Bestselling Book 'Reimagined: Building Products with Generative AI'
        Yan is our geeky friend who knows everything and can build anything. Although I'm also a power user of GenAI, Yan's insights and practical tricks often inspire me. I highly look forward to this course.
Zhanyong Wan

Zhanyong Wan

Principal Software Engineer, Pinterest
        Yan is a famous advocate of GenAI in the field of amateur astronomy. Recently he connected his robotics astrophoto system in our observatory with GPT, and let the AI do the sky survey. This is mind blowing. And now I'm very curious on how GPT can reform the entire astrophoto field.
Yixing Zhang

Yixing Zhang

Founder, Southern Astronomy
        Embracing Generative AI is no longer optional—it's imperative. Yuzheng stands at the forefront of this revolution. His upcoming online course is more than just an educational journey; it's a gateway to understanding and harnessing the power of GenAI to redefine our approach to problems, enhance efficiency, and spark unparalleled innovation.
Wei Dai

Wei Dai

Director of Software Engineering @ Salesforce | Ex-Google, Ex-Microsoft

Meet your instructor

Yuzheng Sun, PhD

Yuzheng Sun, PhD 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 -- AI-Powered Productivity for Tech Roles

Cohort 3

$600 USD


July 22—Aug 5, 2024

Payment Deadline

July 21, 2024

Bulk purchases

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 -- AI-Powered Productivity for Tech Roles

Cohort 3

$600 USD


July 22—Aug 5, 2024

Payment Deadline

July 21, 2024

Bulk purchases

$600 USD

2 Weeks