Fundamentals of Generative AI for Beginners
Learn the basics of generative AI, including key concepts, models, and applications. Ideal for beginners in AI and machine learning.
Learn the basics of generative AI, including key concepts, models, and applications. Ideal for beginners in AI and machine learning.
This course introduces the fundamentals of generative AI (GenAI) for beginners, covering its history, key concepts, and applications. Students learn about large language models, neural networks, training datasets, and prompts. The curriculum explores how GenAI works, its components, and its impact on various industries. Designed for students, early career professionals, and non-Machine Learning practitioners, this "code-free" course builds a foundation for further study in GenAI and machine learning. Topics include the evolution of AI, deep learning, model training and evaluation, and ethical considerations in AI development.
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What you'll learn
Understand the basic concepts and principles of generative AI
Learn about the history and evolution of AI and machine learning
Explore the components and functioning of large language models
Understand the role of prompts in generative AI systems
Gain insights into model training, evaluation, and performance metrics
Learn about the applications and impact of generative AI across industries
Skills you'll gain
This course includes:
38 Minutes PreRecorded video
4 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This course provides an introduction to generative AI for beginners, covering its fundamental concepts, history, and applications. The curriculum is divided into four modules: an introduction to generative AI, its historical development, the growth and components of generative AI systems, and model training and evaluation. Students learn about key concepts such as large language models, neural networks, and prompt engineering. The course emphasizes the practical applications and impact of generative AI across various industries. It also touches on ethical considerations in AI development. Designed to be accessible, the course is "code-free" and builds a foundation for further study in AI and machine learning.
Fundamentals of Generative AI for Beginners
Module 1 · 13 Minutes to complete
The History of Generative AI
Module 2 · 29 Minutes to complete
The Growth of Generative AI
Module 3 · 54 Minutes to complete
Model Training, Evaluation, & Performance
Module 4 · 1 Hours to complete
Fee Structure
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Instructor
Principal Academic Advocate
Curtis Evans is a Developer Advocate at Amazon Web Services (AWS) with over 25 years of IT industry experience as a Solutions Architect, Systems Administrator, and Data Center Operations Manager. He has been instrumental in building solutions for telecommunications companies, news & sports media outlets, and public sector agencies. Curtis is passionate about engaging with students around the globe and teaching the fundamentals of cloud computing concepts like security, storage, data analytics, and machine learning.
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4.5 course rating
30 ratings
Frequently asked questions
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