Upon completing the this course, learners will have established a robust foundation in AI principles and hands-on proficiency with AI tools and APIs. They will learn the art of crafting and manipulating AI models, enabling them to integrate AI into applications with confidence. This course stands out by offering a detailed exploration of AI engineering, from the basics to deeper techniques like the "Few Shot" approach and the creation of images with the latest DALL·E 3 API.
Intro to AI Engineering
Intro to AI Engineering
This course is part of multiple programs.
Instructor: Tom Chant
Sponsored by BrightStar Care
5,359 already enrolled
Gain insight into a topic and learn the fundamentals.
4.5
(36 reviews)
Intermediate level
Some related experience required
2 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
AI Fundamentals
Ethical AI
Prompt engineering
AI Intergrations
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
1 assignment
Taught in English
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There is 1 module in this course
In this course, learners gain a solid AI foundation, learning model development, API use, and ethical AI practices. The course also dives into more advanced techniques like the "Few Shot" approach and DALL·E 3 API, preparing students for innovative roles in the AI industry.
What's included
1 assignment23 plugins
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Learner reviews
4.5
36 reviews
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BS
4
Reviewed on Dec 28, 2024
This is an awesome course and was well delivered by the instructor. However, the OpenAI API is not free for students to practice along with.
Recommended if you're interested in Data Science
Coursera Instructor Network
Korea Advanced Institute of Science and Technology(KAIST)
University of Michigan
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