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5 Free Stanford AI Courses for Aspiring Experts

Explore 5 free Stanford AI courses to become an AI expert, covering Python, ML, AI principles, and societal impacts.

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Free Stanford AI Courses

TL;DR:

  • Stanford offers 5 free AI courses to help you become an AI expert.
  • Over 70% of companies are looking for AI experts, making it a high-demand skill.
  • Courses cover Python, Machine Learning, AI principles, and the societal impact of AI.

Become an AI Expert with These 5 Free Stanford Courses

Are you eager to learn about Artificial Intelligence (AI)? You’re in luck! Stanford University offers five fantastic courses to help you kickstart your AI journey, and the best part is, they’re all free! In today’s world, AI has been applied in numerous businesses, creating immense value. Consequently, there’s a high demand for AI experts, with over 70% of companies seeking professionals who can leverage AI tools effectively.

So, let’s dive into these AI courses from Stanford University and help you become an AI expert!

Statistical Learning with Python

To excel in AI, you must first understand statistical methodologies and Python programming. This course teaches you basic statistical methods, supervised learning, and the use of Python. You’ll become familiar with statistical modeling, which will help you grasp the concepts in the subsequent courses. Stanford also provides a free book to accompany this course on their website.

CS229: Machine Learning

Machine Learning (ML) is a crucial subset of AI, and modern AI tools require a strong ML foundation. In this course, you’ll learn about supervised learning, unsupervised learning, learning theory, reinforcement learning, adaptive theory, and ML applications. This course will strengthen your ML foundation, which is essential for understanding and developing AI.

Intro to Artificial Intelligence

This course covers the basics of AI, making it perfect for beginners. With 22 lessons and 9 practice exams, you’ll learn about probability, ML, game theory, computer vision, robotics, and natural language processing. These lessons will give you the confidence to explore AI in more depth.

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CS221: Artificial Intelligence: Principles and Techniques

This advanced course delves deeper into AI, teaching various techniques for implementing AI systems. You’ll learn about search, Markov decision processes, game playing, constraint satisfaction, graphical models, and logic. It’s recommended that you revisit the foundational courses before taking this one.

The AI Awakening: Implications for the Economy and Society

In this short course, you’ll learn about the impact of AI on the economy and society. It covers the risks and benefits of AI, helping you understand the broader implications of this technology. This course is essential for anyone looking to make a difference in the AI field.

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Have you taken any of these Stanford AI courses? How have they helped you in your AI journey? Share your experiences below and don’t forget to subscribe for updates on AI and AGI developments at AI in Asia. Let’s build a community of AI enthusiasts and learn together!

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The Secret Weapon Against AI Plagiarism: Watermarking

Explore the impact of AI-generated essays on education and the innovative solutions being developed to address this challenge, including OpenAI’s watermarking technology and regulatory efforts.

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AI-generated essays

TL;DR:

  • AI-generated essays are a growing concern in education.
  • OpenAI developed a watermarking solution to detect AI-generated text.
  • Competition among AI providers hinders the implementation of watermarking.
  • Regulatory efforts, like the California Digital Content Provenance Standards, aim to address this issue.
  • The future of AI in education requires innovative assessment methods.

In the rapidly evolving world of artificial intelligence (AI), one application has sparked significant debate: AI-generated essays. As the new school year begins, teachers and educators are grappling with the reality that AI tools like ChatGPT can produce essays that are virtually indistinguishable from human-written ones. This shift has rendered traditional essay assignments less effective, forcing educators to adapt their teaching methods.

The Rise of AI in Education

AI has revolutionised many aspects of our lives, and education is no exception. Generative AI, in particular, has proven exceptionally adept at creating essays. This is because there are abundant examples of essays in AI training data, and the demand for such content is high. Additionally, the standards for essay quality and originality in student work are relatively low, making it an ideal task for AI.

The Challenge of Detecting AI-Generated Text

Currently, detecting AI-generated essays is a formidable task. While several tools claim to identify AI-generated text, their reliability is questionable. Accusing students of plagiarism based on unreliable tools can have serious consequences, making it crucial to find a more accurate solution.

The Solution: AI Watermarking

In 2022, a team at OpenAI, led by quantum computing researcher Scott Aaronson, developed a groundbreaking solution known as “watermarking.” This technique makes AI-generated text virtually unmistakable, even if the user makes minor changes. The watermarking process involves altering the AI’s text generation method to include a nonrandom element, favouring certain tokens based on a secret scoring rule.

For example, the AI might favour words containing the letter ‘V’ slightly more than usual. While this change is subtle and unlikely to be noticed by readers, it creates a detectable pattern that OpenAI can use to verify the text’s origin. This innovative solution could significantly reduce the problem of AI-generated essays masquerading as human-written work.

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The Competitive Barrier

Despite the potential benefits of watermarking, OpenAI and other AI providers have not implemented this solution. The reason lies in competition. If OpenAI were the only provider to implement watermarking, users would simply switch to other AI tools like Meta’s Llama, Anthropic’s Claude, or Google’s Gemini. This would not solve the plagiarism issue and could lead to OpenAI losing its user base.

The Role of Regulation

To address this competitive barrier, regulatory intervention may be necessary. The California Digital Content Provenance Standards bill, introduced this year, aims to require generative AI providers to make their AI-generated content detectable. OpenAI supports this bill, as they are the only known provider with a working watermarking system. However, other AI providers are largely opposed to such regulations.

While watermarking could be a valuable tool, its implementation faces significant challenges. Open AI models, which can be run on personal computers, are already widely available. Adding watermarking to these models is not feasible, as anyone can use the current versions regardless of future updates.

Adapting to AI in Education

Given the challenges of implementing watermarking, educators must find alternative ways to assess students. Many teachers are already adopting in-class essay requirements and other innovative methods to reduce cheating. Additionally, the use of AI-generated content in college admissions essays is likely to decrease, as these essays may not be the best way to evaluate students.

The Future of AI and Education

The debate over AI-generated essays highlights a broader issue: the rapid pace of AI development often outstrips society’s ability to regulate and adapt. While AI offers numerous benefits, it also presents challenges like impersonation and plagiarism. Finding a balance between harnessing AI’s potential and mitigating its downsides will be crucial as AI continues to evolve.

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What do you think about the future of AI in education? How can we ensure that AI is used ethically and responsibly in our classrooms? Share your thoughts and experiences in the comments below, and don’t forget to subscribe for updates on AI and AGI developments.

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Coursera Launches Revolutionary Gen AI Skills Training for Teams

Dell’s reorganisation and focus on AI products highlight the growing importance of AI in Asia, with significant implications for jobs, investments, and market trends.

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Generative AI Skills

TL;DR:

  • Coursera introduces GenAI for Teams to help businesses apply generative AI skills.
  • The program includes hundreds of courses tailored to software, data, and marketing teams.
  • Seven new generative AI courses and specializations are now available.
  • Eight entry-level Professional Certificates have been updated with generative AI content.

Unleashing Innovation with Coursera’s GenAI for Teams

Coursera, the renowned learning platform, has expanded its Generative AI Academy with a new offering designed specifically for teams. GenAI for Teams aims to equip businesses with the skills and best practices needed to apply generative AI in unique and innovative ways. This program complements the existing GenAI for Everyone and GenAI for Executives programs, offering a comprehensive suite of courses tailored to various business functions.

Unlocking Productivity Across Critical Functions

GenAI for Teams provides a rich catalog of hundreds of courses aimed at unlocking innovation and productivity across critical business areas. The program is divided into three main topic areas:

Gen AI for Software and Product Teams

  • Generative AI for Software Developers by IBM
  • Developing with GitHub Copilot and VS Code by Microsoft
  • Responsible AI for Developers by Google Cloud

Gen AI for Data Teams

  • Generative AI for Data Scientists by IBM
  • GenAI in Data Analytics by Meta
  • Practical Steps for Building Fair AI Algorithms by Fred Hutch Cancer Center

Gen AI for Marketing Teams

  • GenAI for Social Media Marketing by Meta
  • Content Marketing Using Generative AI by the University of Virginia Darden
  • Generative AI for the Resilient Pricer by Dartmouth College

New Generative AI Courses and Specializations

Coursera has also introduced seven new generative AI courses, specializations, and certificates to help learners develop their skills in this cutting-edge field:

  • Generative AI for Software Development Skills Certificate from DeepLearning.AI
  • Artificial Intelligence Graduate Certificate from the University of Colorado Boulder
  • Generative AI in Marketing Specialization from UVA Darden
  • Programming with Generative AI course from Indian Institute of Technology Guwahati
  • Responsible Generative AI Specialization from the University of Michigan
  • Change Management for Generative AI course from Vanderbilt University
  • Generative AI for Kids, Parents, and Teachers course from Vanderbilt

Updated Professional Certificates with Generative AI Content

Eight of Coursera’s entry-level Professional Certificates have been updated to include generative AI-related content, such as projects, readings, and videos. These certificates include:

  • Data Analyst from IBM
  • Data Engineering from IBM
  • Data Science from IBM
  • Full Stack Software Developer from IBM
  • Cybersecurity Analyst from Microsoft
  • Power BI Data Analyst from Microsoft
  • Marketing Analytics from Meta
  • Social Media Marketing from Meta

The Importance of Generative AI Skills

Generative AI is transforming industries by enabling the creation of new content, products, and services. As businesses increasingly adopt these technologies, the demand for professionals with generative AI skills is growing. Coursera’s GenAI for Teams program is designed to meet this demand by providing comprehensive training that empowers teams to leverage generative AI effectively.

“Generative AI has the potential to revolutionize how we work and innovate. Our new GenAI for Teams program is designed to equip professionals with the skills they need to harness this powerful technology and drive meaningful change in their organizations.” – Jeff Maggioncalda, CEO of Coursera

By offering a rich catalog of courses and resources, Coursera is empowering professionals to drive innovation and productivity in their organisations.

External Resources for Further Learning

For more information on Coursera’s Generative AI Academy and the GenAI for Teams program, visit the Coursera blog.

Additionally, you can explore case studies and examples of AI and AGI applications in Asia through resources like the AI in Asia website, which provides insights into the latest developments and innovations in the region.

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What generative AI skills do you think are most important for your field? How do you plan to apply what you learn from Coursera’s GenAI for Teams program? We invite you to share your thoughts and experiences in the comments below. Don’t forget to subscribe for updates on AI and AGI developments.

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For more information on Coursera’s Generative AI Academy and the GenAI for Teams program, visit the Coursera blog.

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The AI Revolution: How Asia’s Top Schools Are Embracing ChatGPT

Explore how Asia’s leading international schools are integrating AI tools like ChatGPT into their curricula to enhance learning and prepare students for an AI-driven future.

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AI in Education

TL;DR:

  • ChatGPT is transforming education, with 96% of students using it for schoolwork.
  • Asia’s leading international schools are integrating AI tools into their curricula to enhance learning.
  • Educators are focusing on ethical use and preparing students for an AI-driven future.

In November 2022, Elon Musk tweeted, “It’s a new world. Goodbye, homework,” in response to the release of ChatGPT. This powerful AI chatbot has sparked a mix of awe and concern, especially in education. But how are Asia’s best international schools dealing with this new technology? Let’s dive in.

The Rise of ChatGPT in Education

ChatGPT, an AI chatbot capable of creating plausible answers and even rhyming poetry, has taken the world by storm. With roughly five million visits a day, it’s no surprise that educators are both excited and worried. This advanced chatbot can make lessons more interactive, teach media literacy, generate personalised lesson plans, and help teachers save time on administrative tasks.

Sal Khan, founder of Khan Academy, sees immense potential in AI. In a TED Talk session, he said, “I think we’re at the cusp of using AI for probably the biggest positive transformation that education has ever seen. We can give every student on the planet an artificially intelligent but amazing personal tutor.”

Concerns Over Academic Integrity

However, not everyone is as hopeful. Following OpenAI’s release of ChatGPT, the chatbot faced immediate backlash, being criticised as a tool for cheating on assignments. A 2024 survey by Intelligent.com found that 96% of students used ChatGPT for schoolwork and 80% for other tasks like communication and job searching. Meanwhile, 69% use the tool for help with writing assignments, and 29% have ChatGPT write entire essays.

The Los Angeles Unified School District, the second-largest in the US, quickly blocked access to OpenAI’s website. By January, school districts across the English-speaking world had followed suit, from Washington and New York in the US to Queensland and New South Wales in Australia. Even leading UK universities, including Imperial College London and the University of Cambridge, warned students against using ChatGPT to cheat.

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This reaction was mirrored in Asia. “Many classes require students to submit reports, and we worry that we won’t be able to spot the use of ChatGPT for assignments,” says Kyushu University Vice President Prof. Takeru Nose.

Embracing AI in Asia’s Best International Schools

Fast-forward to 2024, and educators recognise that ChatGPT is here to stay, with 56% of educators expecting AI use to increase significantly, according to a survey by the EdWeek Research Centre. Asia’s best international schools are already embracing this change. Instead of fearing ChatGPT, they are exploring how to harness its potential to enhance learning.

The Australian International School (AIS)

The Australian International School (AIS) includes AI tools like ChatGPT in its teaching methods. By encouraging its faculty to use these technologies, the school aims to gain valuable insights into their strategic application, enhancing the overall learning experience. For example, AIS students in the English as an Additional Language (EAL) programme use ChatGPT to provide immediate translation services, making language acquisition more accessible and efficient.

International Baccalaureate (IB)

In March, the International Baccalaureate (IB), the governing body of curricula for most of Hong Kong’s international schools, made a statement regarding AI integration:

“The IB believes that AI technology will become part of our everyday lives – like spell checkers, translation software, and calculators. We, therefore, need to adapt and transform our educational programmes and assessment practices so that students can use these new AI tools ethically and effectively. The IB will not ban the use of such software but will work with schools to help them support their students in using these tools ethically in line with our principles of academic integrity.”

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Westbourne College Singapore

At Westbourne College Singapore in River Valley, ChatGPT is viewed as a transformative tool for enhancing education and the overall schooling experience.

“We are living in an age where innovations such as ChatGPT are going to disrupt how we do things, and we are going to have to learn how to adapt to such significant and rapid changes,” says Dr. Gerard Griffiths, Global Education Director of Westbourne College. “The technology will not be used as a crutch but as a trampoline to launch standards to even greater heights.”

Tanglin Trust School in Singapore

John Ridley, Director of Learning at Tanglin Trust School in Singapore, argues that AI is not the end of traditional education methods.

“This is not the end of schools, homework, examinations or teachers,” he says. “At Tanglin, our philosophy is to embrace new technology where it supports our core purpose — the education of our young people — and AI is no different. There will be changes to the way we do things, but our aim will be for both teachers and students to be able to use AI tools confidently and responsibly in support of their learning.”

Preparing for an AI-Driven Future

While plagiarism is a major concern for educators, and with ChatGPT becoming more prevalent, there’s fear that even more students will use it to complete their assignments, potentially leading to the end of traditional homework and exams. However, educators are focusing on ethical use and preparing students for an AI-driven future.

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The Future of Education with AI

As AI continues to evolve, collaboration among educators, policymakers, and technologists will be crucial to ensure its integration promotes equity, integrity, and quality in education. By embracing AI tools like ChatGPT, Asia’s best international schools are preparing students for a future where AI literacy is as essential as reading and writing.

By embracing AI tools like ChatGPT, Asia’s best international schools are paving the way for a future where AI literacy is as essential as reading and writing. As educators focus on ethical use and prepare students for an AI-driven future, the potential for transformative learning experiences is immense.

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