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Generative AI Fluency
Uohna Thiessen,
Rohan Viswanathan ,
Giacomo Vianello,
Raphael Mallari,
Ed Wiley, Ph.D.,
Erick Galinkin,
Chang She,
Sergei Kozyrenko,
and
Emily McMilin
Uohna Thiessen,
Rohan Viswanathan ,
Giacomo Vianello,
Raphael Mallari,
Ed Wiley, Ph.D.,
Erick Galinkin,
Chang She,
Sergei Kozyrenko,
and
Emily McMilin
Embark on your Generative AI journey with Udacity. Learn the essentials of Gen AI, LLM, text generation, AI production, and more. Join our intro course today!
Register for this course and see more details by visiting:
OpenCourser.com/course/q3q1nz/generative
What's inside
Syllabus
In this lesson we will cover the key concepts, basic terminology, and typical applications of Generative AI.
In this lesson, you'll dive deeper into one of the most prominent applications of Generative AI: Large Language Models (LLMs).
Read more
Syllabus
In this lesson we will cover the key concepts, basic terminology, and typical applications of Generative AI.
In this lesson, you'll dive deeper into one of the most prominent applications of Generative AI: Large Language Models (LLMs).
Read more
In this lesson, you will learn what AI imaging generation is, how it works, and some AI image generation models and techniques.
In this lesson, you will learn how to generate images from text with some popular tools, like DALL-E and Midjourney.
In this lesson, you will learn about the practical considerations for using generative AI in production, including techniques for data collection, prompt execution, maintenance, and orchestration.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Introduces learners to the essentials of Generative AI, including LLM and AI production
Led by industry professionals at Udacity, this course offers credibility and relevance
Covers a wide range of topics, from basic concepts to advanced applications in AI imaging generation
Provides insights into practical considerations for using generative AI in production, including data collection and prompt execution
Assumes a basic understanding of AI concepts, so beginners may need to do additional research before enrolling
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Save Generative AI Fluency to your list so you can find it easily later:
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Activities
Coming soon
We're preparing activities for
Generative AI Fluency.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Generative AI Fluency will develop knowledge and skills
that may be useful to these careers:
AI Researcher
AI Researcher
AI Researchers develop new AI algorithms and technologies. This course can help AI Researchers build a foundation in the underlying concepts of generative AI, including large language models, and image generation. This understanding will aid their ability to develop more innovative and effective AI algorithms and technologies. Those who wish to enter this field should take this course to gain an understanding of the latest advances in generative AI, as this knowledge will be essential in the future of AI research.
Data Scientist
Data Scientist
Data Scientists use data to solve business problems. This course can help Data Scientists build a foundation in the underlying concepts of generative AI, including large language models, and image generation, which will aid their ability to analyze and interpret data more effectively. Those who wish to enter this field should take this course to gain an understanding of the latest advances in generative AI, which will enable them to use data more effectively to solve business problems.
AI Engineer
AI Engineer
AI Engineers design, develop, and implement AI systems. This course can help AI Engineers build a foundation in the underlying concepts of generative AI, including large language models, and image generation. This understanding will aid their ability to design and implement more effective AI systems. Those who wish to enter this field should take this course to gain an understanding of the latest advances in generative AI, as this knowledge will become increasingly important in the future of AI engineering.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build and maintain the machine learning models that power many modern technologies. This course can help build a foundation in the underlying concepts of generative AI, including large language models, and image generation, which will aid a Machine Learning Engineer's ability to design and implement effective machine learning models. Those who wish to enter this field should take this course to gain an understanding of the latest advances in generative AI, which will become increasingly important in the future of machine learning.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products and features. This course can help Product Managers build a foundation in the underlying concepts of generative AI, including large language models, and image generation. This understanding will aid their ability to develop more innovative and successful products. Those who wish to enter this field should take this course to gain an understanding of the latest advances in generative AI, as this knowledge will become increasingly important in the future of product development.
Marketing Manager
Marketing Manager
Marketing Managers are responsible for the development and execution of marketing campaigns. This course can help Marketing Managers build a foundation in the underlying concepts of generative AI, including large language models, and image generation. This understanding will aid their ability to develop more effective and targeted marketing campaigns. Those who wish to enter this field should take this course to gain an understanding of the latest advances in generative AI, as this knowledge will become increasingly important in the future of marketing.
Technical Writer
Technical Writer
Technical Writers create documentation for software and other technical products. This course can help Technical Writers build a foundation in the underlying concepts of generative AI, including large language models. This understanding will aid their ability to create more clear and concise documentation. Additionally, generative AI can help automate tasks, which can free up Technical Writers to focus on higher-value activities. Those who wish to enter this field should take this course to gain an understanding of the latest advances in generative AI, as this knowledge will become increasingly important in the future of technical writing.
Customer Success Manager
Customer Success Manager
Customer Success Managers help customers achieve success with a company's products and services. This course can help Customer Success Managers build a foundation in the underlying concepts of generative AI, including large language models. This understanding will aid their ability to provide more effective support to customers. Additionally, generative AI can help automate tasks, which can free up Customer Success Managers to focus on higher-value activities. Those who wish to enter this field should take this course to gain an understanding of the latest advances in generative AI, as this knowledge will become increasingly important in the future of customer success management.
UX Designer
UX Designer
UX Designers are responsible for the design of user interfaces for websites and apps. This course can help UX Designers build a foundation in the underlying concepts of generative AI, including large language models, and image generation. This understanding will aid their ability to design more user-friendly and effective user interfaces. Those who wish to enter this field should take this course to gain an understanding of the latest advances in generative AI, as this knowledge will become increasingly important in the future of UX design.
Sales Engineer
Sales Engineer
Sales Engineers help customers understand and evaluate a company's products and services. This course can help Sales Engineers build a foundation in the underlying concepts of generative AI, including large language models. This understanding will aid their ability to provide more effective demonstrations and presentations to customers. Those who wish to enter this field should take this course to gain an understanding of the latest advances in generative AI, as this knowledge will become increasingly important in the future of sales engineering.
Content Writer
Content Writer
Content Writers create content for websites, blogs, and other marketing materials. This course can help Content Writers build a foundation in the underlying concepts of generative AI, including large language models. This understanding will aid their ability to create more engaging and effective content. Those who wish to enter this field should take this course to gain an understanding of the latest advances in generative AI, as this knowledge will become increasingly important in the future of content creation. Additionally, this course will give Content Writers a practical understanding of how to generate content using generative AI, which can improve their efficiency.
Instructional Designer
Instructional Designer
Instructional Designers create and develop educational materials and programs. This course can help Instructional Designers build a foundation in the underlying concepts of generative AI, including large language models. This understanding will aid their ability to create more engaging and effective educational materials and programs. Those who wish to enter this field should take this course to gain an understanding of the latest advances in generative AI, as this knowledge will become increasingly important in the future of instructional design.
Business Analyst
Business Analyst
Business Analysts identify and analyze business needs and develop solutions to meet those needs. This course can help Business Analysts build a foundation in the underlying concepts of generative AI, including large language models. This understanding will aid their ability to identify and analyze business needs more effectively. Additionally, generative AI can help automate tasks, which can free up Business Analysts to focus on higher-value activities. Those who wish to enter this field should take this course to gain an understanding of the latest advances in generative AI, as this knowledge will become increasingly important in the future of business analysis.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. This course can help Software Engineers build a foundation in the underlying concepts of generative AI, including large language models, and image generation. This understanding will aid their ability to develop more innovative and effective software applications. Those who wish to enter this field should take this course to gain an understanding of the latest advances in generative AI, as this knowledge will become increasingly important in the future of software development.
Data Analyst
Data Analyst
Data Analysts collect, analyze, and interpret data. This course can help Data Analysts build a foundation in the underlying concepts of generative AI, including large language models. This understanding will aid their ability to analyze and interpret data more effectively. Those who wish to enter this field should take this course to gain an understanding of the latest advances in generative AI, as this knowledge will become increasingly important in the future of data analysis.
For more career information including salaries, visit:
OpenCourser.com/course/q3q1nz/generative
Reading list
We've selected four 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 Fluency.
Provides a comprehensive overview of machine learning concepts, tools, and techniques, using popular libraries such as Scikit-Learn, Keras, and TensorFlow. It valuable resource for anyone looking to build intelligent systems.
Provides a practical introduction to deep learning using the Fastai and PyTorch libraries. It valuable resource for anyone looking to get started with deep learning and build their own models.
Provides a gentle introduction to deep learning using Python. It valuable resource for anyone looking to get started with deep learning and build their own models.
Explores the ethical implications of AI and provides guidance on how to develop AI systems that are fair and beneficial to society. It valuable resource for anyone interested in the ethical considerations surrounding AI.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/q3q1nz/generative
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Effort
7 hours
Via
Udacity
Instructors
Uohna Thiessen
Rohan Viswanathan
Giacomo Vianello
Raphael Mallari
Ed Wiley, Ph.D.
Erick Galinkin
Chang She
Sergei Kozyrenko
Emily McMilin
Language
English
Good to know
Introduces learners to the essentials of Generative AI, including LLM and AI production
Led by industry professionals at Udacity, this course offers credibility and relevance
Covers a wide range of topics, from basic concepts to advanced applications in AI imaging generation
Provides insights into practical considerations for using generative AI in production, including data collection and prompt execution
Assumes a basic understanding of AI concepts, so beginners may need to do additional research before enrolling
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