Ready now for AI for Everyone with Andrew NG?

by | Jun 8, 2025 | Articles, Education | 0 comments

chip, AMD, AMD series, Ryzen, AI, chip Artificial intelligence, motherboard, IA 300, processor, computing, hardware, technology, CPU, GPU, neural networks, machine learning, deep learning, computer vision, natural language processing, robotics, automation, data analysis, data science, high-performance computing, cloud computing, edge computing, IoT, smart devices, embedded systems, microcontrollers, firmware, software, programming, algorithms, data storage, memory, bandwidth, performance, efficiency, power management, thermal management, cooling systems, overclocking, benchmarking, gaming Published on June 3, 2024 Free to use under the Unsplash License

Andrew Ng: Deep Learning, Education, and Real-World AI | Lex Fridman Podcast #73

OUTLINE: 0:00 – Introduction 2:23 – First few steps in AI 5:05 – Early days of online education 16:07 – Teaching on a whiteboard 17:46 – Pieter Abbeel and early research at Stanford 23:17 – Early days of deep learning 32:55 – Quick preview: deeplearning.ai, landing.ai, and AI fund 33:23 – deeplearning.ai: how to get started in deep learning 45:55 – Unsupervised learning 49:40 – deeplearning.ai (continued) 56:12 – Career in deep learning 58:56 – Should you get a PhD? 1:03:28 – AI fund – building startups 1:11:14 – Landing.ai – growing AI efforts in established companies 1:20:44 – Artificial general intelligence

Andrew Ng is one of the most impactful educators, researchers, innovators, and leaders in artificial intelligence and technology space in general. He co-founded Coursera and Google Brain, launched deeplearning.ai, Landing.ai, and the AI fund, and was the Chief Scientist at Baidu. As a Stanford professor, and with Coursera and deeplearning.ai, he has helped educate and inspire millions of students including me.
Google Deepmind An artist’s illustration of artificial intelligence (AI). This image explores generative AI and how it can empower humans with creativity. It was created by Winston Duke as part of the Visualising AI project launched by Google DeepMind. Published on June 4, 2024 Free to use under the Unsplash License

Learn AI Without Coding: Andrew Ng’s "AI for Everyone"

Learn AI from Stanford’s Dr. Andrew Ng—no coding required. Whether you’re a business leader, team manager, or simply AI-curious, “AI for Everyone” on Coursera is your gateway to understanding artificial intelligence. Taught by renowned Stanford professor and Coursera cofounder Andrew Ng, this course is designed for non-technical professionals who want to harness the power of AI in real-world scenarios. In just a few hours, you’ll build a strong foundation in AI concepts, workflows, ethics, and business strategy—no programming experience needed.

Why Take This Course?

Artificial Intelligence is transforming industries and redefining how decisions are made—but it’s not just for engineers or data scientists. This course empowers professionals from any background to:

  • Understand what AI can and cannot do

  • Integrate AI insights into business or personal projects

  • Collaborate effectively with technical AI teams

  • Lead or support AI-driven innovation

Whether you’re steering a company or mapping out a new career, this course equips you with the tools to navigate the AI era with confidence.

What You’ll Learn

Over four engaging modules, you’ll gain a comprehensive introduction to artificial intelligence:

1. What is AI?

  • Learn what AI truly means

  • Understand how AI is reshaping industries

  • Recognize both the capabilities and limitations of AI

2. Building AI Projects

  • Explore how machine learning and data science projects come to life

  • Discover real-world AI workflows without writing a single line of code

3. AI in Your Organization

  • Identify opportunities for AI implementation

  • Develop strategies to incorporate AI into your team or business

4. AI and Society

  • Examine the ethical and societal impacts of AI

  • Understand issues around bias, fairness, and responsible AI development

Key Skills You’ll Gain

  • AI & Data Science Workflow: Learn the life cycle of an AI project from ideation to deployment.

  • Simplified AI Terminology: Understand key concepts like neural networks, machine learning, and deep learning—without tech-speak overload.

  • Strategic AI Thinking: Gain tools to apply AI insights in leadership and business planning.

  • Ethics in AI: Recognize the moral dimensions and social responsibilities tied to AI systems.

Who Should Enroll?

This course is ideal for:

  • Business leaders and executives

  • Non-technical professionals across industries

  • Entrepreneurs and startup founders

  • Educators, marketers, and project managers

  • Technical folks looking to understand AI’s strategic value

If you’re ready to future-proof your skillset and make smarter decisions in an AI-driven world, this course is for you.

Enroll Today: Step into the Future of AI

Artificial intelligence is no longer optional—it’s essential. Take your first step toward understanding and applying AI with confidence, clarity, and purpose.

Sign up for “AI for Everyone” on Coursera today and gain lifelong access to insights that will reshape the way you work, think, and lead.

Enroll

Coursera Founder Andrew Ng adds new AI course

AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone–especially your non-technical colleagues–to take.

In this course, you will learn: – The meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science – What AI realistically can–and cannot–do – How to spot opportunities to apply AI to problems in your own organization – What it feels like to build machine learning and data science projects – How to work with an AI team and build an AI strategy in your company – How to navigate ethical and societal discussions surrounding AI Though this course is largely non-technical, engineers can also take this course to learn the business aspects of AI.

Now Learn from 325+ leading universities and companies with Coursera Plus.

Data science continues to evolve and grow, and whether a learner is looking to break into the field or brush up on skills, Coursera has courses for every level.  Here is the list of the top 10 data science courses to help you find the right content for your goals.

Top 10 Data Science Courses

  1. Google Data Analytics Professional Certificate
  2. IBM Data Science Professional Certificate
  3. Python for Everybody from the University of Michigan
  4. Machine Learning from Stanford University
  5. Learn SQL Basics for Data Science from UC Davis
  6. Deep Learning from DeepLearning.AI
  7. DeepLearning.AI TensorFlow Developer Professional Certificate
  8. Natural Language Processing from DeepLearning.AI
  9. Data Visualization with Tableau from UC Davis
  10. Generative Adversarial Networks (GANs) from DeepLearning.AI

by SD Feb 16, 2022
I thoroughly enjoyed every lecture Andrew and really glad that I took this course. Very easy to follow and understand. A must-course for anyone wishing to explore AI. Thanks for the course, Andrew.

by MS Mar 7, 2021
Wonderful and very insightful course. Cleared a lot of doubts and misconceptions. Once again Kudos and Thank you to Prof. Andrew Ng for a wonderful course and for educating the world to be a better place.

by R Oct 20, 2020
This class was so well-presented with clear and socially relevant examples. I was so engaged that I finished this in less than a week. Kudos for explaining deep concepts in such an uncomplicated manner.

by PK Jul 20, 2020
it was good but it was mostly about how AI can change the lifestyle and the jobs of the upcoming era, but

what I liked about it was the way of presenting this course was interactive and interesting.

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