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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

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!

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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).

Traffic lights

Read about what's good

what should give you pause

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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Reviews summary

Foundational generative ai primer

According to students, this course serves as an excellent primer for anyone seeking a strong foundational understanding of Generative AI, especially those new to the field or in business roles. Learners frequently commend the clear explanations, digestible modules, and well-structured content. The hands-on examples with tools like DALL-E and Midjourney are highlighted as particularly practical. While many found the insights into LLMs and AI production considerations invaluable, some reviewers suggest it offers limited technical depth, potentially making the 'Fluency' title misleading for advanced learners seeking coding or deeper architectural insights.

Features useful and engaging demonstrations of popular AI tools.

"The hands-on examples with tools like DALL-E were very practical and helped solidify my understanding."

"The lessons on AI image generation and using tools like Midjourney were quite good. I liked that it focused on practical usage..."

"I enjoyed the practical examples, enabling me to have informed conversations about AI at work."

Perfectly suited for non-technical roles needing quick AI understanding.

"As a business professional, I needed a course that demystified Generative AI without requiring me to become a data scientist. This course delivered precisely that."

"Highly valuable for anyone needing a quick, robust understanding."

"I would say it's best for non-technical managers or those curious about AI, rather than aspiring practitioners."

Offers a solid and easily understandable foundation for beginners.

"This course exceeded my expectations! It's an excellent primer for anyone looking to understand the core concepts of Generative AI..."

"The explanations are incredibly clear, and the pace is just right. I especially valued the clear breakdown of LLMs and how they work."

"The structure is logical, and the concepts are presented in a very accessible way."

Course title sets expectations of deeper expertise not fully met.

"The course is way too basic for its title. I was hoping for something that would truly make me 'fluent' in Gen AI..."

"The title 'Fluency' suggests a deeper dive, which isn't really delivered."

"It feels more like a conceptual introduction rather than something that builds 'fluency'. Useful if you literally know nothing, otherwise it's a bit too general."

May be too superficial for learners with prior AI knowledge.

"I wished for more in-depth case studies or advanced deployment strategies. For a complete beginner, it's perfect, but for someone with some prior tech background, it might feel a little basic..."

"I was expecting more technical insights, perhaps some coding exercises or more detailed architectural explanations of the models."

"It didn't provide enough technical depth or hands-on application to be truly useful for a developer or data scientist."

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 Fluency with these activities:

Review Natural Language Processing with Python

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Gain a deeper understanding of the fundamental concepts and techniques used in natural language processing, which will provide a strong foundation for the course.

View Natural Language Processing with Python:... on Amazon

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Read through the book's introduction and first three chapters.
Complete the exercises at the end of each chapter.
Summarize the key concepts covered in the book.

Complete the Udacity course on Generative AI

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Provides a comprehensive overview of the key concepts and applications of generative AI, complementing the course's content.

Browse courses on Generative AI

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Enroll in the Udacity course on Generative AI.
Complete the video lectures and readings.
Complete the hands-on exercises.
Participate in the discussion forums.
Complete the final project.

Practice using generative AI tools to create text, images, and music

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Develops proficiency using generative AI tools, enhancing practical skills and confidence in applying them.

Browse courses on Generative AI

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Choose a generative AI tool for text generation, image generation, and music generation.
Experiment with different prompts and settings to generate various outputs.
Analyze the generated outputs and identify patterns and limitations.
Share your generated outputs with others and seek feedback.

Four other activities

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Organize a collaborative project to develop a generative AI prototype

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Fosters teamwork, problem-solving, and the application of generative AI skills in a practical setting.

Browse courses on Generative AI

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Form a team with other students.
Brainstorm ideas for a generative AI prototype.
Develop a project plan and timeline.
Implement the prototype using generative AI techniques.
Present your prototype to your classmates or instructors.

Develop a presentation on the applications of generative AI in a specific industry

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Enhances understanding of the practical applications of generative AI and develops communication skills.

Browse courses on Generative AI

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Choose a specific industry.
Research the applications of generative AI in the chosen industry.
Create a presentation that outlines these applications.
Practice presenting your presentation.
Present your presentation to your classmates or colleagues.

Become a mentor to support other students in the course

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Strengthens understanding of course concepts through teaching, enhances communication skills, and fosters a supportive learning community.

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Review the course materials thoroughly.
Identify areas where you can provide support to other students.
Join the course discussion forums.
Offer help to students who have questions or need assistance.
Provide constructive feedback and encouragement to other students.

Participate in a generative AI hackathon

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Provides an opportunity to apply generative AI skills in a competitive setting, encouraging innovation and problem-solving.

Browse courses on Generative AI

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Find a generative AI hackathon to participate in.
Form a team with other students or participate individually.
Brainstorm ideas for a generative AI project.
Develop and implement your project.
Submit your project and present it to the hackathon judges.

Career center

Learners who complete Generative AI Fluency will develop knowledge and skills that may be useful to these careers:

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.

See salaries and explore the career path for AI Researcher

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.

See salaries and explore the career path for Data Scientist

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.

See salaries and explore the career path for Machine Learning 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.

See salaries and explore the career path for AI Engineer

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.

See salaries and explore the career path for UX Designer

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.

See salaries and explore the career path for Content Writer

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.

See salaries and explore the career path for Marketing Manager

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.

See salaries and explore the career path for Software 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.

See salaries and explore the career path for Sales Engineer

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.

See salaries and explore the career path for Data 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.

See salaries and explore the career path for Business Analyst

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.

See salaries and explore the career path for Technical Writer

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.

See salaries and explore the career path for Instructional Designer

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.

See salaries and explore the career path for Customer Success 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.

See salaries and explore the career path for Product Manager

Featured in The Course Notes

This course is mentioned in our blog, The Course Notes. Read one article that features Generative AI Fluency:

Generative AI for Career Growth: Our Recommended Online Courses

27 minute read

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.

Hands-On Machine Learning with Scikit-Learn, Keras,...

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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.

Hands-On Machine Learning with Scikit-Learn, Keras,...

Paperback

Hands-On Machine Learning with Scikit-Learn, Keras,...

Paperback

$$$

Hands-On Machine Learning with Scikit-Learn, Keras,...

Kindle Edition

Deep Learning for Coders with fastai and PyTorch

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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.

Deep Learning for Coders with Fastai and PyTorch:...

Paperback

Deep Learning for Coders with fastai and PyTorch:...

Kindle Edition

Deep Learning with Python, Second Edition

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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.

Deep Learning with Python, Second Edition

Paperback

Deep Learning with Python, Second Edition

Kindle Edition

The Ethical Algorithm

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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.

The Ethical Algorithm: The Science of Socially...

Hardcover

(Español) El algoritmo ético. La ciencia del diseño de...

Kindle Edition

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