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Generative AI for Everyone

Andrew Ng

Instructed by AI pioneer Andrew Ng, Generative AI for Everyone offers his unique perspective on empowering you and your work with generative AI. Andrew will guide you through how generative AI works and what it can (and can’t) do. It includes hands-on exercises where you'll learn to use generative AI to help in day-to-day work and receive tips on effective prompt engineering, as well as learning how to go beyond prompting for more advanced uses of AI.

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Instructed by AI pioneer Andrew Ng, Generative AI for Everyone offers his unique perspective on empowering you and your work with generative AI. Andrew will guide you through how generative AI works and what it can (and can’t) do. It includes hands-on exercises where you'll learn to use generative AI to help in day-to-day work and receive tips on effective prompt engineering, as well as learning how to go beyond prompting for more advanced uses of AI.

You’ll get insights into what generative AI can do, its potential, and its limitations. You’ll delve into real-world applications and learn common use cases. You’ll get hands-on time with generative AI projects to put your knowledge into action and gain insight into its impact on both business and society.

This course was created to ensure everyone can be a participant in our AI-powered future.

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What's inside

Syllabus

Introduction to Generative AI
Generative AI Projects
Generative AI in Business and Society
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Taught by Andrew Ng, a pioneer in the development of generative AI
Introduces generative AI's possibilities and restrictions
Provides practical exercises to apply generative AI to real-world tasks
Explores generative AI's impact on business and society
Requires no prior knowledge of generative AI, making it accessible to beginners

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Save Generative AI for Everyone to your list so you can find it easily later:
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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 Generative AI for Everyone with these activities:
Review Generative AI concepts
Prepare by refreshing foundational concepts in Generative AI.
Browse courses on Generative AI
Show steps
  • Review the course syllabus.
  • Revisit notes and materials from previous AI courses or workshops.
  • Watch introductory videos or tutorials on Generative AI.
Explore Generative AI tools
Enhance your understanding by experimenting with practical applications.
Browse courses on Generative AI
Show steps
  • Identify a Generative AI tool of interest.
  • Follow a guided tutorial to set up and use the tool.
  • Experiment with different features and functionalities.
  • Obtain insights from the results.
Participate in Generative AI discussion groups
Engage with peers to exchange knowledge and perspectives.
Browse courses on Generative AI
Show steps
  • Identify relevant discussion groups.
  • Participate in discussions, share experiences, and ask questions.
  • Offer insights and contribute to the collective learning.
Four other activities
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Show all seven activities
Connect with Generative AI experts
Seek guidance from experienced professionals in the field.
Browse courses on Generative AI
Show steps
  • Identify potential mentors.
  • Reach out and introduce yourself.
  • Request guidance and support.
Practice prompt engineering
Refine your skills in constructing effective prompts.
Browse courses on Generative AI
Show steps
  • Gather sample prompts and explore their effectiveness.
  • Develop a set of guidelines for prompt engineering.
  • Practice writing prompts for various use cases.
  • Seek feedback on your prompts.
Create a Generative AI project
Solidify your understanding by implementing a practical project.
Browse courses on Generative AI
Show steps
  • Define the project scope and objectives.
  • Collect and prepare the necessary data.
  • Train and evaluate a Generative AI model.
  • Deploy and monitor the project.
Contribute to open-source Generative AI projects
Gain hands-on experience and contribute to the community.
Browse courses on Generative AI
Show steps
  • Identify open-source Generative AI projects.
  • Review the project documentation.
  • Identify areas where you can contribute.
  • Submit pull requests and collaborate with the project team.

Career center

Learners who complete Generative AI for Everyone will develop knowledge and skills that may be useful to these careers:
Data Scientist
Data Scientists use data to solve business problems. This course may be useful to Data Scientists because it helps build a foundation in generative AI, which can be used to generate new data or augment existing data. This can be helpful for tasks such as data exploration, feature engineering, and model building.
See salaries and explore the career path for Data Scientist
Machine Learning Engineer
Machine Learning Engineers design, develop, and deploy machine learning models. This course may be useful to Machine Learning Engineers because it helps build a foundation in generative AI, which can be used to generate new data or augment existing data. This can be helpful for tasks such as data exploration, feature engineering, and model building.
See salaries and explore the career path for Machine Learning Engineer
Data Analyst
Data Analysts often collect and analyze large datasets to identify trends and patterns. This course may be useful to Data Analysts because it helps build a foundation in generative AI, which can be used to generate new data or augment existing data. This can be helpful for tasks such as data exploration, feature engineering, and model building.
See salaries and explore the career path for Data Analyst
Software Engineer
Software Engineers design, develop, and maintain software systems. This course may be useful to Software Engineers because it helps build a foundation in generative AI, which can be used to generate new code or augment existing code. This can be helpful for tasks such as code generation, refactoring, and testing.
See salaries and explore the career path for Software Engineer
Financial Analyst
Financial Analysts are responsible for analyzing financial data and making investment recommendations. This course may be useful to Financial Analysts because it helps build a foundation in generative AI, which can be used to generate new financial models or augment existing financial models. This can be helpful for tasks such as data analysis, forecasting, and risk assessment.
See salaries and explore the career path for Financial Analyst
Product Manager
Product Managers are responsible for the development and launch of new products. This course may be useful to Product Managers because it helps build a foundation in generative AI, which can be used to generate new product ideas or augment existing product ideas. This can be helpful for tasks such as ideation, market research, and product planning.
See salaries and explore the career path for Product Manager
Consultant
Consultants provide advice and guidance to businesses on a variety of topics. This course may be useful to Consultants because it helps build a foundation in generative AI, which can be used to generate new insights or augment existing insights. This can be helpful for tasks such as problem solving, decision making, and communication.
See salaries and explore the career path for Consultant
Entrepreneur
Entrepreneurs start and run their own businesses. This course may be useful to Entrepreneurs because it helps build a foundation in generative AI, which can be used to generate new business ideas or augment existing business ideas. This can be helpful for tasks such as product development, marketing, and sales.
See salaries and explore the career path for Entrepreneur
Customer Success Manager
Customer Success Managers are responsible for ensuring that customers are satisfied with their products or services. This course may be useful to Customer Success Managers because it helps build a foundation in generative AI, which can be used to generate new customer support content or augment existing customer support content. This can be helpful for tasks such as customer onboarding, technical support, and customer feedback.
See salaries and explore the career path for Customer Success Manager
Musician
Musicians create music for a variety of purposes. This course may be useful to Musicians because it helps build a foundation in generative AI, which can be used to generate new music or augment existing music. This can be helpful for tasks such as songwriting, composition, and performance.
See salaries and explore the career path for Musician
Writer
Writers create written content for a variety of purposes. This course may be useful to Writers because it helps build a foundation in generative AI, which can be used to generate new content or augment existing content. This can be helpful for tasks such as article writing, blog writing, and copywriting.
See salaries and explore the career path for Writer
Marketing Manager
Marketing Managers are responsible for the development and execution of marketing campaigns. This course may be useful to Marketing Managers because it helps build a foundation in generative AI, which can be used to generate new marketing content or augment existing marketing content. This can be helpful for tasks such as content creation, campaign planning, and performance analysis.
See salaries and explore the career path for Marketing Manager
Artist
Artists create visual art for a variety of purposes. This course may be useful to Artists because it helps build a foundation in generative AI, which can be used to generate new artwork or augment existing artwork. This can be helpful for tasks such as painting, sculpture, and photography.
See salaries and explore the career path for Artist
Sales Manager
Sales Managers are responsible for the development and execution of sales strategies. This course may be useful to Sales Managers because it helps build a foundation in generative AI, which can be used to generate new sales leads or augment existing sales leads. This can be helpful for tasks such as lead generation, customer relationship management, and sales forecasting.
See salaries and explore the career path for Sales Manager
Business Analyst
Business Analysts are responsible for analyzing business processes and identifying opportunities for improvement. This course may be useful to Business Analysts because it helps build a foundation in generative AI, which can be used to generate new business ideas or augment existing business ideas. This can be helpful for tasks such as process mapping, data analysis, and solution design.
See salaries and explore the career path for Business Analyst

Reading list

We've selected eight 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 Generative AI for Everyone.
Cover image
Probabilistic Machine Learning
Save
Offers a comprehensive and probabilistic approach to machine learning, providing a strong foundation for understanding generative AI.
Probabilistic Machine Learning: Advanced Topics...
Hardcover
$$$$
Cover image
Deep Learning
Save
Great starting point for anyone interested in learning about generative AI, with a focus on the ethical and societal implications of its use.
Deep Learning: A Visual Approach
Hardcover
$$$
Deep Learning: A Visual Approach
Kindle Edition
$$$
Cover image
Deep Learning
Save
This classic textbook covers the fundamentals of deep learning, providing a solid foundation for understanding the technical aspects of generative AI.
Deep Learning
Paperback
$$$
Deep Learning (Adaptive Computation and Machine...
Hardcover
$$$
Deep Learning (Adaptive Computation and Machine...
Kindle Edition
$$$
Understanding Machine Learning
Save
Offers a comprehensive overview of machine learning theory and algorithms, providing a solid foundation for understanding generative AI.
Understanding Machine Learning: From Theory to...
Hardcover
$$$
Understanding Machine Learning: From Theory to...
Kindle Edition
$$
Cover image
Generative AI Business Applications
Save
Provides a comprehensive introduction to generative AI, covering the history, use cases, and different domains where it can be applied. It would be particularly useful as a background or reference material.
Generative AI Business Applications: An Executive...
Paperback
$$
Cover image
Reinforcement Learning, second edition
Save
This classic textbook covers the fundamentals of reinforcement learning, which key technique used in generative AI.
Reinforcement Learning, second edition: An...
Hardcover
$$$
Reinforcement Learning, second edition: An...
Kindle Edition
$$$
Cover image
Probabilistic Graphical Models
Save
Provides a comprehensive introduction to probabilistic graphical models, which are used in many generative AI applications.
Probabilistic Graphical Models: Principles and...
Hardcover
$$$$
Probabilistic Graphical Models: Principles and...
Kindle Edition
$$$
Cover image
Deep Learning with Python, Second Edition
Save
This hands-on guide provides a practical introduction to deep learning using Python, including code examples and exercises.
Deep Learning with Python, Second Edition
Paperback
$$
Deep Learning with Python, Second Edition
Kindle Edition
$$

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Course image
Effort
3 weeks of study, 1-2 hours/week
Level
Introductory
Via
Coursera
Institution
DeepLearning.AI
Instructor
Andrew Ng
Language
English
Transcripts
Español Français Português Deutsch Italiano 中文 العربية 한국어 日本語 हिंदी Nederlands Svenska Pусский Türkçe Polski Ελληνικά українська мова magyar nyelv Bahasa Indonesia ไทย қазақша اُردُو, فارسی বাংলা پښتو آذربایجان دیلی
Good to know
Taught by Andrew Ng, a pioneer in the development of generative AI
Introduces generative AI's possibilities and restrictions
Provides practical exercises to apply generative AI to real-world tasks
Explores generative AI's impact on business and society
Requires no prior knowledge of generative AI, making it accessible to beginners
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