Board Infinity

Build no-code AI Solutions with Notion AI: Idea to Prototype

Board Infinity

Build no-code AI Solutions with Notion AI: Idea to Prototype

Board Infinity

Instructor: Board Infinity

Access provided by SGCSRC

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Translate business problems into AI solution blueprints with defined inputs, outputs, and KPIs

  • Build no-code AI prototypes for sentiment analysis, forecasting, and document intelligence

  • Apply advanced prompt engineering techniques including chain-of-thought and role prompting

  • Test, validate, and deploy AI prototypes into real business workflows

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

12 assignments

Taught in English
Recently updated!

April 2026

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Build your subject-matter expertise

This course is part of the No-Code AI for Business Professionals Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 4 modules in this course

Learners convert real business challenges into solvable AI problem structures using no-code design frameworks, blueprinting, inputs, constraints, and KPIs.

What's included

6 videos2 readings3 assignments

Hands-on building of four core business AI prototypes using 2024-2025 no-code platforms including ChatGPT, Microsoft AI Builder, Vertex AI, DataRobot, and Notion AI.

What's included

6 videos2 readings3 assignments

Deep dive into advanced prompting frameworks, chain-of-thought, role prompting, contextual anchoring, error correction, and prompt debugging aligned with 2024-2025 LLM best practices from OpenAI, Anthropic, and Gemini.

What's included

6 videos2 readings3 assignments

Learners validate outputs, test performance, document results, and deploy prototypes, building readiness for Course 3 on Automation and Scaling.

What's included

7 videos2 readings3 assignments

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Board Infinity
Board Infinity
234 Courses400,283 learners

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