Decision AI
Practical Decision AI: Laya Models and Human-in-the-Loop
Implement request classification and prioritization with a decision model. Design criteria for automation and human review, and compare the model with existing rules before adoption.
Enrollment and payment take place on Inflearn.
- Listed entries
- 8 entries
- Video duration
- 1h 48m
- Provider update
- Course audio
- Korean
Check whether this course fits
- Who it is for
- For people connecting recurring decisions, such as classification, priorities, and automation eligibility, to code.
- Before you start
- You need to read Python functions and dictionaries and run basic code.
- What you can do
- Connect recurring decisions to code
- Design confidence, policies, and human review together
- Build an evaluation workflow for your work
Practice in the public curriculum
Put the topic into practice
Read a Laya decision and connect it to policy rules for execution or human review.
- Python
- Laya
- JEV
Tool subscriptions and API usage may cost extra. Check the current terms for the tools you plan to use.
Curriculum overview
- Decision model concepts
- States and choices
- Running Laya and reading confidence
- Policies, human review, and evaluation
Entry counts include materials and guidance. This overview groups the learning topics.
See the full curriculum and previews ↗Before you enroll
Where can I check price, access, and support?
Use the current Inflearn listing. Discounts, access duration, and question support vary by course.
Where should I start if I lack prerequisites?
Check the prerequisites and choose a starting point that matches your goal and experience. The free foundations course introduces the big picture of AI agents.
Find my starting coursePublic information checked: 2026-10-07 · Inflearn source ↗