Master the End-to-end ML process
Build a Proof of Value in record time, by leveraging powerful no-code and low-code tools
From data collection to product deployment: build models you can trust, plus all the other components needed in a real-world Machine Learning system
Create proprietary assets: not just datasets and models, but also data preparation and ML pipelines/workflows.
“Very pleased with results.”
★★★★★
“I can build my own ML projects, and it feels great.”
★★★★★
“Our team has successfully deployed our first project.”
★★★★★
What you get
9 hours of video lessons with text summaries, slides, and guided exercises
Hands-on demos of no-code and low-code tools
Sample projects: detect wolf vs dog images, detect fake hotel reviews, predict house prices, score credit risk
No-code / Low-code
Who it’s for
BUILD is our 3rd course. It’s made for Product Managers, Innovation Managers, R&D Project Managers, Engineering Managers, IT Architects, and Tech Builders in general.
Pre-requisites:
Non-technical knowledge of high-level ML concepts
Familiarity with spreadsheet software (e.g. Excel)
Familiarity with Python basics
WHAT YOU’LL build
+ DATA: create your own training dataset
- Scrape structure data from web pages
- Fix your data with a point-and-click data wrangler (no-code)
- Download image data from the web with the Bing API and Jupyter
- Set up your own data labeling web app (no-code or low-code)
- Extract training data from your own SQL customer database
+ BASELINE: create your own models in record time with AutoML
- Build baseline models with automated ML Studios, Vision platforms, and Language platforms (no-code)
- Build baseline models with open-source Python libraries
- How to deal with the time component
- Analyze predictions (no-code)
- Select the best model
+ MVM: turn your baseline into a Minimum Viable Model you can trust
- The model builder workflow
- Analyze model performance and create a "Proof of Value"
- Improve models & data preparation by explaining predictions & understanding error types
- Optimize models with simple & practical tweaks
+ MVP: add components to turn your MVM into a Product
- Set up your 1st prediction API
- Architecture of a real-world ML product: components, orchestration, and end-to-end ML pipeline/workflow
- Deploy updates continuously in production
- Monitor models in production
- Choose your own tech stack
GET STARTED NOW!
Get access to this course (and more) with an OWNML+ subscription. No commitment — cancel anytime.