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
This course is part of multiple programs.

Instructor: Tom Chant
Access provided by Coursera Learning Team
6,970 already enrolled
(58 reviews)
Recommended experience
What you'll learn
AI Fundamentals
Ethical AI
Prompt engineering
AI Intergrations
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There are 5 modules in this course
This module gets you started with AI Engineering; introducing AI concepts, API keys, and making basic API calls.
What's included
2 readings1 assignment8 plugins
Now it's time to explore message structuring, prompt engineering, and token usage.
What's included
1 assignment6 plugins
Next up, you'll discover temperature, few-shot learning, stop sequences, and penalties for refining AI behavior.
What's included
1 assignment6 plugins
Now let's get to grips with generating AI images and ensuring responsible AI use.
What's included
1 assignment3 plugins
Put your new knowledge to the test with a Graded Assignment.
What's included
1 assignment1 plugin
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Learner reviews
58 reviews
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- 4 stars
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- 3 stars
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- 2 stars
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- 1 star
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Reviewed on Dec 29, 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
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