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Artificial Intelligence
Artificial Intelligence
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DeepLearning.AI 2

AI for Everyone

  • up to 6 hours
  • Beginner

AI for Everyone is a non-technical course designed to help you understand AI technologies and spot opportunities to apply AI to problems in your organization. Learn about the impact of AI on society and how to navigate through this technological change.

  • AI fundamentals
  • Machine Learning
  • Data Science
  • AI project workflow
  • AI strategy

Overview

In this course, you will learn the fundamentals of AI, including its terminology and workflow. You will explore how to build AI projects, understand the roles within an AI team, and learn about the major applications and techniques of AI. Additionally, you will gain insights into the societal impacts of AI, including issues like bias and job displacement.

  • Web Streamline Icon: https://streamlinehq.com
    Online
    course location
  • Layers 1 Streamline Icon: https://streamlinehq.com
    English
    course language
  • Professional Certification
    upon course completion
  • Self-paced
    course format
  • Live classes
    delivered online

Who is this course for?

Non-technical business professionals

Understand AI technologies and spot opportunities to apply AI to problems in your organization.

Machine learning engineers

Encourage your managers, VPs, or CEOs to take this course to understand what you can and cannot do with AI.

Data scientists

Help your non-technical colleagues understand AI to build a sustainable AI strategy.

Why should you take this course?

Artificial Intelligence

This course will help you understand AI technologies and their applications, making it easier to spot opportunities for AI in your organization. It is ideal for non-technical business professionals, machine learning engineers, and data scientists who want to build a sustainable AI strategy.

Pre-Requisites

1 / 3

  • No technical background required

  • Interest in understanding AI technologies

  • Willingness to learn about AI's impact on society

What will you learn?

Week 1: What is AI
Introduction to AI, Machine Learning, data, AI terminology, what makes an AI company, what Machine Learning can and cannot do, and an intuitive explanation of deep learning.
Week 2: Building AI Projects
Workflow of a Machine Learning project, workflow of a Data Science project, the importance of data in every job function, choosing an AI project, working with an AI team, and technical tools for AI teams.
Week 3: AI in Your Company
Case studies on smart speakers and self-driving cars, roles within an AI team, AI Transformation Playbook, AI pitfalls to avoid, taking your first step in AI, and a survey of major AI applications and techniques.
Week 4: AI and Society
A realistic view of AI, issues of discrimination and bias, adversarial attacks, adverse uses of AI, AI in developing nations, AI and jobs, and the course conclusion.

What learners say about this course

  • I directly applied the concepts and skills I learned from my courses to an exciting new project at work.

    Jennifer John

    Former student

  • Courses on Coursera played a major role in my career transition. I learned skills that helped me immensely during my interviews.

    Ujjwal Jain

    Former student

  • The Specialization I completed was an eye-opening learning experience. It changed my perspective on the ways I could help advance my field.

    Emanuela Manea

    Former student

Meet your instructor

  • Andrew Ng

    Founder, DeepLearning.AI

    Andrew Ng is the founder of DeepLearning.AI and founder and CEO of Landing AI.

Upcoming cohorts

  • Dates

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Free