Ready now for AI for Everyone with Andrew NG?

by | Apr 7, 2022 | Education

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.</p> <p>Published on June 4, 2024<br /> Free to use under the Unsplash License

AI for Everyone – Taught by Stanford professor and Coursera cofounder Andrew Ng, this course is designed to unlock the world of artificial intelligence (AI) for anyone, regardless of their technical background. Whether you’re an executive, a team leader, or a curious learner, this course will empower you to bring AI insights into your organization and personal projects.

Why take this course?
AI is transforming industries, but it’s not just for engineers and data scientists. This course is your opportunity to learn how AI can enhance decision-making, improve workflows, and drive innovation, no matter your role. You’ll gain a solid understanding of AI’s potential, and by the end, you’ll be equipped to champion AI initiatives in your company or career.

Skills you’ll gain:

• AI and Data Science Project Workflow – Understand the end-to-end process of developing machine learning and AI solutions, from ideation to deployment.
• AI Terminology Made Simple – Learn the key concepts in AI, such as machine learning, neural networks, and deep learning, in a way that makes them accessible and useful for non-technical professionals.
• AI Strategy Development – Discover how to integrate AI solutions into your business strategy and work effectively with AI teams to leverage new technologies.
• Ethics and Societal Impact – Explore the critical conversations surrounding AI ethics, fairness, and its societal implications to ensure responsible and mindful AI implementation.

What you’ll learn in 4 engaging modules:

1. What is AI
• Gain a clear understanding of what AI is, what it can and cannot do, and how it’s reshaping industries.
2. Building AI Projects
• Get a firsthand feel for how machine learning and data science projects come to life, even without a technical background.
3. Building AI in Your Company
• Learn to identify areas within your organization where AI can make a real impact and develop effective AI strategies for your team.
4. AI and Society
• Explore the ethical and societal discussions surrounding AI, including fairness, biases, and the broader implications of AI technologies.

Who should enroll?

This course is perfect for business leaders, managers, professionals from non-technical fields, and anyone who wants to get ahead in the AI-driven world. Engineers and technical professionals will also benefit from learning the business applications and ethical considerations of AI.

Unlock the potential of AI and help guide your organization into the future with confidence and knowledge. Sign up today and take your first step toward mastering AI!

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.