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Exploring Artificial Intelligence Use Cases and Applications

In this course, you will explore real-world use cases in artificial intelligence (AI), machine learning (ML), and generative artificial intelligence (generative AI) across a range of industries. These areas include healthcare, finance, marketing, entertainment, and more. You will also learn about AI, ML, and generative AI capabilities and limitations, model selection techniques, and key business metrics.

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What's inside

Syllabus

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what should give you pause

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Develops AI, ML, and generative AI foundations, which are core skills across a wide array of industries

Offers practical exploration of various industrial applications of AI, ML, and generative AI

Teaches real-world skills in AI, ML, and generative AI that are in high demand in modern job market

Emphasizes key business metrics, an essential aspect for evaluating AI, ML, and generative AI projects

Delivered by AWS instructors, who are seasoned experts in cloud computing and AI

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Reviews summary

Ai use cases: business and industry overview

According to students, this course provides a largely positive and comprehensive introduction to AI use cases across various industries. It is particularly well-suited for those seeking a high-level understanding and practical business applications, rather than deep technical dives. Learners appreciate its clear explanations and coverage of real-world scenarios, finding it an excellent starting point for exploring AI's relevance in fields like healthcare and finance. However, prospective students should note that it offers limited technical depth and no hands-on coding, making it more foundational than advanced.

Excellent for beginners or those without a technical background.

"As someone new to AI, I found the explanations clear and easy to grasp without feeling overwhelmed."

"Perfect starting point for business professionals who need to understand AI's impact."

"I don't have a technical background, and this course helped me demystify AI concepts."

Emphasizes practical, business-oriented AI applications.

"The course is very helpful for understanding AI's strategic value and business implications."

"I found the focus on business metrics and model selection crucial for my professional role."

"It's a great course for anyone wanting to link AI concepts to real-world business problems."

Explores diverse AI, ML, and Generative AI use cases.

"This course gave me a fantastic overview of how AI is being applied across different industries."

"I appreciated the wide range of real-world examples, from healthcare to entertainment."

"It really opened my eyes to the many possibilities of AI and ML beyond just tech."

Suggests potential updates are needed for rapidly evolving AI.

"Given how fast AI evolves, some examples could use a refresh to reflect the latest trends."

"I noticed a few discussions that felt slightly out of date compared to current generative AI progress."

"It would be even better with regular updates on new developments and real-world cases."

Provides an overview; lacks in-depth technical implementation.

"If you're looking for hands-on coding or advanced algorithms, this course isn't for you."

"It's high-level; I was hoping for more technical details or practical labs."

"I already have a technical background, so some parts felt a bit too basic."

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 Exploring Artificial Intelligence Use Cases and Applications with these activities:

Follow the TensorFlow tutorials on machine learning

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These tutorials will provide you with hands-on experience with machine learning using TensorFlow, the leading open-source machine learning library.

Browse courses on Machine Learning

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Go through the TensorFlow tutorials.
Complete the exercises and assignments.

Read 'Artificial Intelligence: A Modern Approach' by Stuart J. Russell and Peter Norvig

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This book provides a comprehensive overview of the field of artificial intelligence and machine learning, and will help you build a strong foundation for the course.

View Artificial Intelligence on Amazon

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Read the book from cover to cover.
Take notes on the key concepts.
Complete the exercises and assignments at the end of each chapter.

Join a study group to discuss the course material

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This will allow you to discuss the course material with other students and get help with any concepts you are struggling with.

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Find a study group to join.
Participate in the study group discussions.

Four other activities

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Solve leetcode problems on machine learning

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This practice will help you improve your problem-solving skills and reinforce the concepts you learn in the course.

Browse courses on Machine Learning

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Solve leetcode problems on machine learning.

Build a machine learning model to predict customer churn

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This project will allow you to apply the concepts you learn in the course to a real-world problem.

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Gather data on customer churn.
Clean and prepare the data.
Build a machine learning model to predict customer churn.
Evaluate the performance of the model.
Deploy the model to production.

Develop a mobile app that uses AI to recognize objects

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This project will allow you to apply the concepts you learn in the course to a real-world problem and develop your mobile development skills.

Browse courses on Artificial Intelligence

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Design the app.
Develop the app.
Test the app.
Deploy the app.

Contribute to an open-source machine learning project

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This will allow you to gain experience with open-source software development and contribute to the machine learning community.

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Find an open-source machine learning project to contribute to.
Submit a pull request to the project.

Career center

Learners who complete Exploring Artificial Intelligence Use Cases and Applications will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 46 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 Exploring Artificial Intelligence Use Cases and Applications.

The Atomic Human

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As a comprehensive reference, this book covers the full spectrum of generative AI, from foundational concepts to advanced techniques and applications, providing a deep understanding of the field.

The Atomic Human: What Makes Us Unique in the Age...

Hardcover

The Atomic Human: What Makes Us Unique in the Age...

Kindle Edition

Artificial Intelligence

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A comprehensive and accessible overview of the fundamental concepts, algorithms, and applications of AI.

Artificial Intelligence: A Modern Approach

Hardcover

$$$$

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

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The premier applied machine learning masterwork, taking practitioners through intuitive concept breakdowns, production-grade Scikit-Learn workflows, and deep neural architecture implementations.

Exploring Artificial Intelligence Use Cases and Applications

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What's inside

Syllabus

Traffic lights

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Reviews summary

Ai use cases: business and industry overview

Activities

Career center

Reading list

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