Software development in the AI era: From spec to deployment

In this class

What this class covers

1. 01Understand how verifiable acceptance criteria make requirements clear
2. 02Learn how code reviews check specification compliance and exposed secrets
3. 03Distinguish test types and understand why boundary values matter
4. 04Understand why failed deployments should return to a working version

Instructor

Learn with Hai Tseng

Hai Tseng

Hai Tseng

Dean, SAT Knowledge AI Academy

• 20 years of experience in the digital industry: from engineer to VP, general manager, and Chief AI Officer
• Nearly 15 years at StreetVoice, leading the platform to 20x growth
• Hands-on AI adoption: focused on making AI part of a company's daily operations

Product · 8 classes

8 courses in Product

One price covers all 8 classes. Start with the one you want.

1. 01 Software development in the AI era: From spec to deploymentHai Tseng · About 20 min This course
2. 02 Lead AI with a spec: Spec-driven development (SDD)Eddie Kao · About 60 min →
3. 03 Version control with Git: Track changes, isolate risk, roll backEddie Kao · About 60 min →
4. 04 Let AI query databases safely: Permissions, field meaning and result checksEric Wu · About 60 min →
5. 05 Security in practice: Secrets, permissions and launch safetyAllen Own · About 25 min →
6. 06 Software testing with AI: Tests, code review and a regression harnessRichard Lee · About 40 min →
7. 07 Going live: Deployment, login and paymentsEric Wu · About 45 min →
8. 08 From zero to one: Ship your first productHai Tseng · About 35 min →