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

4.7

(9 ratings)

2 Weeks

Cohort-based Course

Capture your unique opportunties in the era of GenAI by becoming a builder. Dive deep into practical prototypes and the latest research.

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

4.7

(9 ratings)

2 Weeks

Cohort-based Course

Capture your unique opportunties in the era of GenAI by becoming a builder. Dive deep into practical prototypes and the latest research.

Hosted by

Yuzheng Sun, PhD and Yan Wang, PhD

Staff Data Scientist and Staff Applied Scientist

Yuzheng Sun, PhD and Yan Wang, PhD

Staff Data Scientist and Staff Applied Scientist

Previously at

This course is popular

26 people enrolled last week.

Course overview

Become a builder through guided prototypes and research

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?

- Find genuine insights amidst clickbait headlines?

It's normal to feel this way. 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can't fully unlock GenAI's potential; conversely, without knowledge of the research, today's skills might soon become outdated.

Our experiences taught us the best way to stay relevant not only for today, but also for the future is learning through creating. With such approach, we have created this course from scratch, featuring a curriculum centered around six prototypes encompassing three phases:

1. Prototype: Demonstrate a GenAI application prototype that is useful and relevant, such as automating your weekly business review.

2. Research integration: After each protytpoe, 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 for your own use case.

You can check our course syllabus for more details. In the end, we'll embark on a class project to create an application tailored to your needs, supported by our office hours for personalized feedback and guidance. We will keep updating the student portal with new development from future cohorts.

You'll leave with practical building skills, a solid grasp of LLM research, and a comprehensive system to integrate GenAI into your workflow. Most importantly, you will leave with a builder's mindset.

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 research 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 (yage.ai) we've created over years.

The first two cohorts are sold out. The third cohort has a discounted price of $700, 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 -- your productivity can benefit from better using compute

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

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 -- your productivity can benefit from better using compute

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

34 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

Week 1
Sep 2—Sep 8
Week dates are set to instructor's time zone
Events
Sep
7
Live Sessions - Week 1
Live Sessions - Week 1
Sat, Sep 7, 11:00 PM - 1:00 AM UTC
Modules
Automate Your Work with GenAI
Automate Your Work with GenAI
4 Lessons
GenAI Internals and Best Practices
GenAI Internals and Best Practices
8 Lessons
Week 2
Sep 9—Sep 15
Week dates are set to instructor's time zone
Events
Sep
14
[Optional] Office Hour
[Optional] Office Hour
Sat, Sep 14, 11:00 PM - 12:30 AM UTC
Sep
15
Live Session - Week 2
Live Session - Week 2
Sun, Sep 15, 11:00 PM - 1:00 AM UTC
Modules
Case Study: Effective Management of GenAI
Case Study: Effective Management of GenAI
10 Lessons
Become Future Proof
Become Future Proof
7 Lessons
[Optional] Final Project
[Optional] Final Project
1 Project
Bonus
Modules
Research: How LLMs are Trained
Research: How LLMs are Trained
5 Lessons

4.7

(9 ratings)

What students are saying

Meet your instructor

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

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.

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