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No-Code AI Essentials: Master AI Concepts & Use Cases

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Board Infinity

No-Code AI Essentials: Master AI Concepts & Use Cases

Board Infinity

Instructor: Board Infinity

Included with Coursera Plus

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

Recommended experience

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

Recommended experience

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

What you'll learn

  • Understand foundational AI and generative AI concepts in business environments

  • Compare and evaluate leading no-code AI platforms

  • Identify high-value AI use cases using structured opportunity frameworks

  • Apply ethical, readiness, and governance principles for responsible AI adoption

Details to know

Shareable certificate

Add to your LinkedIn profile

Recently updated!

April 2026

Assessments

20 assignments

Taught in English

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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

This module builds a strong conceptual foundation in AI for non-technical professionals. Learners explore how AI has evolved, how LLMs and Generative AI work at a high level, and how AI systems function within business workflows. The focus is on clarity, limitations, and responsible expectations—enabling leaders to make informed decisions rather than chase hype.

What's included

13 videos6 readings5 assignments1 discussion prompt2 plugins

This module introduces learners to the most widely used no-code AI platforms and agent-building tools. Learners gain hands-on familiarity with interfaces, core features, and typical workflows—such as building agents, connecting knowledge bases, and performing ML-driven tasks—while learning how to select the right tool based on business needs, cost, and scalability.

What's included

12 videos4 readings5 assignments

This module shifts focus from tools to impact. Learners explore real-world AI use cases across functions, analyze practical case studies, and apply structured frameworks to identify, score, and prioritize AI opportunities. Emphasis is placed on ROI, feasibility, and knowing when AI is not the right solution.

What's included

12 videos4 readings5 assignments1 discussion prompt1 plugin

This module equips leaders with the knowledge to deploy AI responsibly and sustainably. Learners examine data readiness, ethical risks, governance frameworks, and regulatory considerations while building an organizational playbook for safe AI adoption. The module concludes with practical guidance for leading AI initiatives during the first 90 days.

What's included

13 videos4 readings5 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
226 Courses399,240 learners

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Board Infinity

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