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Erik Brynjolfsson

This course explores how the advances in artificial intelligence can and will transform our economy and society in the near future.

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This course explores how the advances in artificial intelligence can and will transform our economy and society in the near future.

You will hear insights from esteemed AI researchers and industry leaders in technology, economics, and business. The curriculum addresses the technological underpinnings of Generative AI, its profound implications for businesses and the broader economy, and the potential risks associated with AI-driven transformations in the workforce. By the end of this course, you will be equipped with the foresight necessary to navigate the transformative landscape of AI.

Notable guest speakers include Eric Schmidt (former CEO of Google), Laura Tyson (esteemed Berkeley professor and former Director of the National Economic Council), Bindu Reddy (CEO and Co-Founder - Abacus.AI), Alex Wang (Founder of Scale AI), Mira Murati (CTO of OpenAI), Jack Clark (Co-founder of Anthropic), and Mustafa Suleyman (Founder of Inflection.AI). They originally joined a conversation with Erik Brynjolfsson and Sebastian Thrun at Stanford University in Spring 2023, and we believe that their insights will be as valuable to your understanding as they were to the Stanford community. Special thanks to James da Costa for his work on the development of this course.

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What's inside

Syllabus

The Technology behind Generative AI
In this module, we will delve into the technological basics of generative AI, explore the recent progress shaping its current capabilities, examine the roles played by data and human input in model development, and experience live demos of Generative AI solutions. We will join conversations with Jack Clark (Co-founder of Anthropic), Mira Murati (CTO of OpenAI), and Alexandr Wang (Founder of Scale AI).
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The Implications of Generative AI for Business and the Economy
In this module, we will delve into the landscape of Generative AI startups. We will examine the business and economic implications of Generative AI by drawing insights from past automation lessons and contemplating the broader workforce effects, including shifts in employment dynamics and skill-based training. We will join conversations with Laura Tyson (a renowned Berkeley professor and former Director of the National Economic Council), and Bindu Reddy (the CEO and Co-Founder of Abacus.AI).
The Risks of Generative AI
In this module, our focus will be to examine the potential risks associated with Generative AI for society, while simultaneously delving into the benefits it could bring into the world. We will consider a future where work may undergo significant transformation or even become obsolete. We will join conversations with Mustafa Suleyman (Founder of Inflection.AI) and Eric Schmidt (former CEO of Google).

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Uses industry examples to make the content relatable and applicable to learners' work
Benefits from the inclusion of expert guest speakers
Taught by Erik Brynjolfsson, who is recognized for their work in AI and economics
Develops skills in generative AI, which is useful for personal growth and development
Uses multi-modal and includes a mix of media, such as videos, readings, and discussions
Examines the latest advances in generative AI, which gives learners an edge in understanding innovation and groundbreaking topics

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in The AI Awakening: Implications for the Economy and Society with these activities:
Probability and Statistics Review
Brush up on probability and statistics to build a solid foundation for understanding the probabilistic nature of Generative AI.
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  • Review concepts of probability distributions
  • Practice solving statistical problems
Review Calculus
Review fundamental operations and problem-solving techniques for Calculus concepts essential to this course
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  • Review basic integration and differentiation techniques
  • Practice solving optimization problems
Deep Learning
Lay a strong theoretical foundation by exploring the concepts of deep learning.
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  • Read chapters 1-3 to understand the basics of neural networks
  • Complete the exercises at the end of each chapter to test your understanding
Six other activities
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Discussion Groups
Engage in discussions with peers to clarify concepts, exchange ideas, and deepen your understanding of Generative AI.
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  • Form or join study groups
  • Discuss course materials, ask questions, and share insights
Coding Exercises
Enhance your problem-solving skills and strengthen your grasp of Generative AI concepts.
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  • Solve coding challenges on platforms like LeetCode or HackerRank
Generative AI Workshops
Participate in workshops led by experts to gain hands-on experience with Generative AI tools and techniques.
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  • Identify and register for relevant Generative AI workshops
  • Attend workshops and actively engage in exercises
Generative AI Project
Gain hands-on experience by building a Generative AI model that addresses a specific problem.
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  • Define the problem you want to solve
  • Choose the appropriate data and model
  • Train and evaluate your model
Generative AI Blog Post
Share your knowledge and understanding of Generative AI by writing a blog post that explains a specific concept or application.
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  • Choose a specific topic related to Generative AI
  • Research and gather information
  • Write and publish your blog post
Attend AI Meetups
Connect with other AI professionals, learn about industry trends, and expand your knowledge.
Show steps
  • Identify relevant AI meetups in your area
  • Attend and participate in discussions

Career center

Learners who complete The AI Awakening: Implications for the Economy and Society will develop knowledge and skills that may be useful to these careers:
AI Engineer
An AI Engineer designs and builds artificial intelligence systems. They use their knowledge of computer science and mathematics to create algorithms that can learn from data and make predictions. This course can help you become an AI Engineer by providing you with a strong foundation in the technology behind generative AI. You will also learn about the implications of generative AI for business and the economy, as well as the potential risks associated with this technology.
Data Scientist
A Data Scientist uses data to solve business problems. They use their knowledge of statistics and machine learning to analyze data and build models that can predict future outcomes. This course can help you become a Data Scientist by providing you with a strong foundation in the technology behind generative AI. You will also learn about the implications of generative AI for business and the economy, as well as the potential risks associated with this technology.
Machine Learning Engineer
A Machine Learning Engineer builds and maintains machine learning models. They use their knowledge of computer science and mathematics to create algorithms that can learn from data and make predictions. This course can help you become a Machine Learning Engineer by providing you with a strong foundation in the technology behind generative AI. You will also learn about the implications of generative AI for business and the economy, as well as the potential risks associated with this technology.
Product Manager
A Product Manager is responsible for the development and launch of new products. They work with engineers, designers, and marketers to create products that meet the needs of customers. This course can help you become a Product Manager by providing you with a strong foundation in the technology behind generative AI. You will also learn about the implications of generative AI for business and the economy, as well as the potential risks associated with this technology.
Business Analyst
A Business Analyst helps businesses make better decisions by analyzing data and providing insights. They use their knowledge of business and technology to identify problems and recommend solutions. This course can help you become a Business Analyst by providing you with a strong foundation in the technology behind generative AI. You will also learn about the implications of generative AI for business and the economy, as well as the potential risks associated with this technology.
Data Analyst
A Data Analyst collects, analyzes, and interprets data to help businesses make better decisions. They use their knowledge of statistics and data analysis techniques to identify trends and patterns in data. This course can help you become a Data Analyst by providing you with a strong foundation in the technology behind generative AI. You will also learn about the implications of generative AI for business and the economy, as well as the potential risks associated with this technology.
Software Developer
A Software Developer designs, builds, and maintains software applications. They use their knowledge of computer science and programming languages to create software that meets the needs of users. This course can help you become a Software Developer by providing you with a strong foundation in the technology behind generative AI. You will also learn about the implications of generative AI for business and the economy, as well as the potential risks associated with this technology.
Quality Assurance Tester
A Quality Assurance Tester tests software applications to ensure that they are working properly. They use their knowledge of testing techniques to identify bugs and errors in software. This course can help you become a Quality Assurance Tester by providing you with a strong foundation in the technology behind generative AI. You will also learn about the implications of generative AI for business and the economy, as well as the potential risks associated with this technology.
IT Manager
An IT Manager is responsible for the planning, implementation, and maintenance of an organization's IT infrastructure. They work with engineers, technicians, and other IT professionals to ensure that the organization's IT systems are running smoothly and efficiently. This course can help you become an IT Manager by providing you with a strong foundation in the technology behind generative AI. You will also learn about the implications of generative AI for business and the economy, as well as the potential risks associated with this technology.
Technical Writer
A Technical Writer creates instruction manuals, user guides, and other technical documentation. They use their knowledge of technical writing principles to create documents that are clear, concise, and easy to understand. This course can help you become a Technical Writer by providing you with a strong foundation in the technology behind generative AI. You will also learn about the implications of generative AI for business and the economy, as well as the potential risks associated with this technology.
Management Consultant
A Management Consultant provides advice to businesses on how to improve their operations. They use their knowledge of business principles to help businesses identify problems and develop solutions. This course can help you become a Management Consultant by providing you with a strong foundation in the technology behind generative AI. You will also learn about the implications of generative AI for business and the economy, as well as the potential risks associated with this technology.
Project Manager
A Project Manager plans, executes, and completes projects. They work with stakeholders to define project goals, timelines, and budgets. This course can help you become a Project Manager by providing you with a strong foundation in the technology behind generative AI. You will also learn about the implications of generative AI for business and the economy, as well as the potential risks associated with this technology.
Sales Engineer
A Sales Engineer works with customers to understand their needs and recommend solutions. They use their knowledge of technical products and services to help customers make purchasing decisions. This course can help you become a Sales Engineer by providing you with a strong foundation in the technology behind generative AI. You will also learn about the implications of generative AI for business and the economy, as well as the potential risks associated with this technology.
Operations Manager
An Operations Manager plans, organizes, and directs the operations of an organization. They work with employees to ensure that the organization's goals are achieved. This course can help you become an Operations Manager by providing you with a strong foundation in the technology behind generative AI. You will also learn about the implications of generative AI for business and the economy, as well as the potential risks associated with this technology.
Marketing Manager
A Marketing Manager develops and executes marketing plans to promote products and services. They use their knowledge of marketing principles to create campaigns that reach target audiences and generate leads. This course can help you become a Marketing Manager by providing you with a strong foundation in the technology behind generative AI. You will also learn about the implications of generative AI for business and the economy, as well as the potential risks associated with this technology.

Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in The AI Awakening: Implications for the Economy and Society.
This highly influential book reference in deep learning, with an emphasis on machine learning principles, probabilistic models, and deep learning architectures.
A philosophical examination of the risks and benefits of superintelligence, offering a comprehensive framework for understanding its potential impact.
Explores the transformative potential of the Fourth Industrial Revolution, driven by AI and other emerging technologies, and its impact on society and the economy.
A practical guide to building and training deep learning models using Python, providing hands-on experience with popular deep learning frameworks.
A thought-provoking exploration of the potential risks of AI, highlighting the need for responsible development and governance.
A specialized text focusing on deep learning techniques for natural language processing tasks, providing a comprehensive overview of the field.
A thought-provoking exploration of the potential long-term consequences of AI, examining its implications for human civilization.
A comprehensive reference on probabilistic graphical models, exploring their theoretical foundations and practical applications.
A detailed treatment of computer vision algorithms and applications, covering topics such as image formation, feature extraction, and object recognition.

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