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The Introduction to Generative AI - Art of the Possible course introduces the concept, use cases, and the importance of generative AI in a business context. This course focuses on business leaders and other decision-makers currently or potentially involved in generative AI projects.
Read more
The Introduction to Generative AI - Art of the Possible course introduces the concept, use cases, and the importance of generative AI in a business context. This course focuses on business leaders and other decision-makers currently or potentially involved in generative AI projects.
Read more
The Introduction to Generative AI - Art of the Possible course introduces the concept, use cases, and the importance of generative AI in a business context. This course focuses on business leaders and other decision-makers currently or potentially involved in generative AI projects.
By the end of the course, learners should be able to describe what generative AI is and how it fits in with machine learning (ML). Learners should be able to describe the history of ML at Amazon, the generative AI services available at Amazon, and why generative AI is important. Lastly, learners should be able to describe some of the risks and benefits of generative AI.
Register for this course and see more details by visiting:
OpenCourser.com/course/eebw0r/introduction
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What's inside
Syllabus
Introduction to Generative AI - Art of the Possible
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Introduces essential foundational concepts of generative AI and showcases real-world use cases
Taught by AWS instructors, who are recognized experts in the field of generative AI
Helps learners understand the significance of generative AI in a business context
Suitable for business leaders and decision-makers interested in exploring the potential of generative AI in their organizations
Save this course
Save Introduction to Generative AI - Art of the Possible to your list so you can find it easily later:
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Save
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 Introduction to Generative AI - Art of the Possible with these
activities:
Read data mining articles
Show steps
Understanding data mining concepts will help you comprehend the foundational principles of generative AI.
Browse courses on
Machine Learning
Show steps
-
Search for reputable data mining publications and articles.
-
Read and summarize key concepts, such as data preparation, model building, and evaluation.
-
Identify the different types of data mining algorithms.
Review basic ML and AI terminology
Show steps
Familiarize yourself with the core concepts of machine learning and artificial intelligence.
Browse courses on
Machine Learning
Show steps
-
Read articles and tutorials on ML and AI.
-
Watch videos and attend webinars on ML and AI.
-
Join online forums and discussion groups on ML and AI.
Review precalculus topics
Show steps
Refresh foundational knowledge of precalculus to better prepare for course material.
Browse courses on
Precalculus
Show steps
-
Review functions, graphs, and equations.
-
Review trigonometric identities and relationships.
-
Review logarithmic and exponential functions.
11 other activities
Expand to see all activities and additional details
Show all 14 activities
Take a guided tutorial on Generative AI
Show steps
Gain a deeper understanding of generative AI through interactive tutorials.
Browse courses on
Generative AI
Show steps
-
Identify a reputable online platform or course that offers guided tutorials on generative AI.
-
Enroll in the chosen tutorial and follow the instructions provided by the instructor.
-
Complete the hands-on exercises and activities included in the tutorial.
-
Ask questions and participate in discussions within the tutorial platform or community.
Follow tutorials on generative AI frameworks
Show steps
Working through tutorials will provide hands-on experience with generative AI frameworks, strengthening your understanding of their capabilities and limitations.
Browse courses on
Stable Diffusion
Show steps
-
Choose a generative AI framework and locate relevant tutorials.
-
Follow the tutorials step-by-step, implementing the code and exploring different parameters.
-
Experiment with different inputs and observe the generated outputs.
-
Troubleshoot any errors or issues encountered during the tutorials.
Complete DSA practice problems
Show steps
Reinforce data structures and algorithms concepts through practice drills to improve problem-solving skills.
Browse courses on
Data Structures
Show steps
-
Identify common data structures and their operations.
-
Implement basic sorting and searching algorithms.
-
Solve problems using appropriate data structures and algorithms.
Follow tutorials on advanced Python concepts
Show steps
Extend knowledge of Python by following tutorials on advanced concepts to enhance coding abilities.
Browse courses on
Python
Show steps
-
Explore object-oriented programming principles.
-
Learn data manipulation techniques using libraries.
-
Experiment with machine learning algorithms.
Practice using generative AI services
Show steps
Develop hands-on experience with generative AI tools and techniques.
Browse courses on
Generative AI
Show steps
-
Create an AWS account and explore the available generative AI services.
-
Follow the documentation and tutorials provided by AWS to learn how to use the services.
-
Experiment with different parameters and settings to observe the impact on the output.
-
Build small projects or use cases to apply your knowledge.
Attend workshops on generative AI tools
Show steps
Expand practical knowledge of generative AI tools by attending workshops led by industry experts.
Browse courses on
Generative AI
Show steps
-
Identify relevant workshops on generative AI tools.
-
Register and attend the workshops.
-
Actively participate in hands-on exercises and discussions.
Develop a generative AI project proposal
Show steps
Creating a project proposal will help you solidify your understanding of generative AI's practical applications and potential impact.
Browse courses on
Generative AI Applications
Show steps
-
Identify a specific business problem or opportunity that generative AI can address.
-
Research different generative AI techniques and select the most appropriate one for your project.
-
Outline the project's goals, objectives, and expected outcomes.
-
Consider the ethical implications of your project and address any potential concerns.
-
Develop a budget and timeline for the project.
Write blog posts on generative AI applications
Show steps
Deepen understanding of generative AI applications by writing blog posts that explain their real-world uses.
Browse courses on
Generative AI
Show steps
-
Choose a specific generative AI application.
-
Research its capabilities and use cases.
-
Write a clear and engaging blog post explaining the application.
Participate in generative AI hackathons
Show steps
Challenge problem-solving skills and gain experience in applying generative AI techniques in real-world scenarios.
Browse courses on
Generative AI
Show steps
-
Identify generative AI hackathons.
-
Form a team or work individually.
-
Develop a project idea and implement it using generative AI.
Mentor students interested in generative AI
Show steps
Reinforce understanding of generative AI concepts by sharing knowledge and providing guidance to other students.
Browse courses on
Generative AI
Show steps
-
Identify students seeking guidance in generative AI.
-
Schedule regular mentoring sessions.
-
Provide support and answer questions.
Contribute to open-source generative AI projects
Show steps
Gain practical experience and deepen understanding by contributing to the development of open-source generative AI projects.
Browse courses on
Generative AI
Show steps
-
Identify active open-source generative AI projects.
-
Read the project documentation and codebase.
-
Identify areas for potential contributions.
Read data mining articles
Show steps
Understanding data mining concepts will help you comprehend the foundational principles of generative AI.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Search for reputable data mining publications and articles.
- Read and summarize key concepts, such as data preparation, model building, and evaluation.
- Identify the different types of data mining algorithms.
Review basic ML and AI terminology
Show steps
Familiarize yourself with the core concepts of machine learning and artificial intelligence.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Read articles and tutorials on ML and AI.
- Watch videos and attend webinars on ML and AI.
- Join online forums and discussion groups on ML and AI.
Review precalculus topics
Show steps
Refresh foundational knowledge of precalculus to better prepare for course material.
Browse courses on
Precalculus
Show steps
Show steps
Show steps
- Review functions, graphs, and equations.
- Review trigonometric identities and relationships.
- Review logarithmic and exponential functions.
11 other activities
Expand to see all activities and additional details
Show all 14 activities
Take a guided tutorial on Generative AI
Show steps
Gain a deeper understanding of generative AI through interactive tutorials.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Identify a reputable online platform or course that offers guided tutorials on generative AI.
- Enroll in the chosen tutorial and follow the instructions provided by the instructor.
- Complete the hands-on exercises and activities included in the tutorial.
- Ask questions and participate in discussions within the tutorial platform or community.
Follow tutorials on generative AI frameworks
Show steps
Working through tutorials will provide hands-on experience with generative AI frameworks, strengthening your understanding of their capabilities and limitations.
Browse courses on
Stable Diffusion
Show steps
Show steps
Show steps
- Choose a generative AI framework and locate relevant tutorials.
- Follow the tutorials step-by-step, implementing the code and exploring different parameters.
- Experiment with different inputs and observe the generated outputs.
- Troubleshoot any errors or issues encountered during the tutorials.
Complete DSA practice problems
Show steps
Reinforce data structures and algorithms concepts through practice drills to improve problem-solving skills.
Browse courses on
Data Structures
Show steps
Show steps
Show steps
- Identify common data structures and their operations.
- Implement basic sorting and searching algorithms.
- Solve problems using appropriate data structures and algorithms.
Follow tutorials on advanced Python concepts
Show steps
Extend knowledge of Python by following tutorials on advanced concepts to enhance coding abilities.
Browse courses on
Python
Show steps
Show steps
Show steps
- Explore object-oriented programming principles.
- Learn data manipulation techniques using libraries.
- Experiment with machine learning algorithms.
Practice using generative AI services
Show steps
Develop hands-on experience with generative AI tools and techniques.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Create an AWS account and explore the available generative AI services.
- Follow the documentation and tutorials provided by AWS to learn how to use the services.
- Experiment with different parameters and settings to observe the impact on the output.
- Build small projects or use cases to apply your knowledge.
Attend workshops on generative AI tools
Show steps
Expand practical knowledge of generative AI tools by attending workshops led by industry experts.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Identify relevant workshops on generative AI tools.
- Register and attend the workshops.
- Actively participate in hands-on exercises and discussions.
Develop a generative AI project proposal
Show steps
Creating a project proposal will help you solidify your understanding of generative AI's practical applications and potential impact.
Browse courses on
Generative AI Applications
Show steps
Show steps
Show steps
- Identify a specific business problem or opportunity that generative AI can address.
- Research different generative AI techniques and select the most appropriate one for your project.
- Outline the project's goals, objectives, and expected outcomes.
- Consider the ethical implications of your project and address any potential concerns.
- Develop a budget and timeline for the project.
Write blog posts on generative AI applications
Show steps
Deepen understanding of generative AI applications by writing blog posts that explain their real-world uses.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Choose a specific generative AI application.
- Research its capabilities and use cases.
- Write a clear and engaging blog post explaining the application.
Participate in generative AI hackathons
Show steps
Challenge problem-solving skills and gain experience in applying generative AI techniques in real-world scenarios.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Identify generative AI hackathons.
- Form a team or work individually.
- Develop a project idea and implement it using generative AI.
Mentor students interested in generative AI
Show steps
Reinforce understanding of generative AI concepts by sharing knowledge and providing guidance to other students.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Identify students seeking guidance in generative AI.
- Schedule regular mentoring sessions.
- Provide support and answer questions.
Contribute to open-source generative AI projects
Show steps
Gain practical experience and deepen understanding by contributing to the development of open-source generative AI projects.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Identify active open-source generative AI projects.
- Read the project documentation and codebase.
- Identify areas for potential contributions.
Career center
Learners who complete Introduction to Generative AI - Art of the Possible will develop knowledge and skills
that may be useful to these careers:
Software Developer
Software Developer
Generative AI - Art of the Possible is an ideal course for Software Developers who want to apply the power of Generative AI to their current role. The course provides an overview of Generative AI and its applications across different industries. It also covers the ethical and societal implications of Generative AI. This knowledge will help Software Developers to make informed decisions about how to use Generative AI in their work. The hands-on exercises in the course will also allow Software Developers to gain practical experience in using Generative AI tools and techniques.
Artificial Intelligence Engineer
Artificial Intelligence Engineer
Artificial Intelligence Engineers who want to learn about Generative AI will benefit from taking Generative AI - Art of the Possible. The course provides a comprehensive introduction to Generative AI, including its history, key concepts, and applications. The hands-on exercises in the course will also allow Artificial Intelligence Engineers to gain practical experience in using Generative AI tools and techniques. This knowledge will help Artificial Intelligence Engineers to make informed decisions about how to use Generative AI in their work.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers who want to learn about Generative AI will benefit from taking Generative AI - Art of the Possible. The course provides a comprehensive introduction to Generative AI, including its history, key concepts, and applications. The hands-on exercises in the course will also allow Machine Learning Engineers to gain practical experience in using Generative AI tools and techniques. This knowledge will help Machine Learning Engineers to make informed decisions about how to use Generative AI in their work.
Business Analyst
Business Analyst
Business Analysts who want to learn about Generative AI will benefit from taking Generative AI - Art of the Possible. The course provides a comprehensive introduction to Generative AI, including its history, key concepts, and applications. This knowledge will help Business Analysts to understand how Generative AI can be used to improve business processes and decision-making. The hands-on exercises in the course will also allow Business Analysts to gain practical experience in using Generative AI tools and techniques.
Data Architect
Data Architect
Data Architects who want to learn about Generative AI will benefit from taking Generative AI - Art of the Possible. The course provides a comprehensive introduction to Generative AI, including its history, key concepts, and applications. This knowledge will help Data Architects to understand how Generative AI can be used to design and build data systems that are more efficient and effective. The hands-on exercises in the course will also allow Data Architects to gain practical experience in using Generative AI tools and techniques.
Product Manager
Product Manager
Product Managers who want to learn about Generative AI will benefit from taking Generative AI - Art of the Possible. The course provides a comprehensive introduction to Generative AI, including its history, key concepts, and applications. This knowledge will help Product Managers to understand how Generative AI can be used to create new products and services. The hands-on exercises in the course will also allow Product Managers to gain practical experience in using Generative AI tools and techniques.
Data Engineer
Data Engineer
Data Engineers who want to learn about Generative AI will benefit from taking Generative AI - Art of the Possible. The course provides a comprehensive introduction to Generative AI, including its history, key concepts, and applications. This knowledge will help Data Engineers to understand how Generative AI can be used to automate data processing tasks and improve data quality. The hands-on exercises in the course will also allow Data Engineers to gain practical experience in using Generative AI tools and techniques.
DevOps Engineer
DevOps Engineer
DevOps Engineers who want to learn about Generative AI will benefit from taking Generative AI - Art of the Possible. The course provides a comprehensive introduction to Generative AI, including its history, key concepts, and applications. This knowledge will help DevOps Engineers to understand how Generative AI can be used to automate software development and operations tasks. The hands-on exercises in the course will also allow DevOps Engineers to gain practical experience in using Generative AI tools and techniques.
Data Scientist
Data Scientist
Data Scientists who want to learn about Generative AI will benefit from taking Generative AI - Art of the Possible. The course provides a comprehensive introduction to Generative AI, including its history, key concepts, and applications. The hands-on exercises in the course will also allow Data Scientists to gain practical experience in using Generative AI tools and techniques. This course may also be useful for Data Scientists who are looking to advance their careers into the field of Generative AI.
Project Manager
Project Manager
Project Managers who want to learn about Generative AI will benefit from taking Generative AI - Art of the Possible. The course provides a comprehensive introduction to Generative AI, including its history, key concepts, and applications. This knowledge will help Project Managers to understand how Generative AI can be used to improve project planning, execution, and delivery. The hands-on exercises in the course will also allow Project Managers to gain practical experience in using Generative AI tools and techniques.
Content Writer
Content Writer
Content Writers who want to learn about Generative AI will benefit from taking Generative AI - Art of the Possible. The course provides a comprehensive introduction to Generative AI, including its history, key concepts, and applications. This knowledge will help Content Writers to understand how Generative AI can be used to create more engaging and informative content. The hands-on exercises in the course will also allow Content Writers to gain practical experience in using Generative AI tools and techniques.
Technical Writer
Technical Writer
Technical Writers who want to learn about Generative AI will benefit from taking Generative AI - Art of the Possible. The course provides a comprehensive introduction to Generative AI, including its history, key concepts, and applications. This knowledge will help Technical Writers to understand how Generative AI can be used to create more clear and concise technical documentation. The hands-on exercises in the course will also allow Technical Writers to gain practical experience in using Generative AI tools and techniques.
UX Designer
UX Designer
UX Designers who want to learn about Generative AI will benefit from taking Generative AI - Art of the Possible. The course provides a comprehensive introduction to Generative AI, including its history, key concepts, and applications. This knowledge will help UX Designers to understand how Generative AI can be used to create more user-friendly and engaging experiences. The hands-on exercises in the course will also allow UX Designers to gain practical experience in using Generative AI tools and techniques.
UI Designer
UI Designer
UI Designers who want to learn about Generative AI will benefit from taking Generative AI - Art of the Possible. The course provides a comprehensive introduction to Generative AI, including its history, key concepts, and applications. This knowledge will help UI Designers to understand how Generative AI can be used to create more visually appealing and innovative user interfaces. The hands-on exercises in the course will also allow UI Designers to gain practical experience in using Generative AI tools and techniques.
Marketing Manager
Marketing Manager
Marketing Managers who want to learn about Generative AI will benefit from taking Generative AI - Art of the Possible. The course provides a comprehensive introduction to Generative AI, including its history, key concepts, and applications. This knowledge will help Marketing Managers to understand how Generative AI can be used to create more effective marketing campaigns. The hands-on exercises in the course will also allow Marketing Managers to gain practical experience in using Generative AI tools and techniques.
For more career information including salaries, visit:
OpenCourser.com/course/eebw0r/introduction
Reading list
We've selected nine 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
Introduction to Generative AI - Art of the Possible.
Save
Comprehensive guide to deep learning, which powerful technique used in generative AI. It covers a wide range of topics, from neural networks to convolutional neural networks to recurrent neural networks.
Save
Provides a comprehensive overview of AI, including generative AI, and its impact on business.
Explores the future of AI, including generative AI, and its implications for society.
Save
Explores the potential risks and benefits of AI, including generative AI, and argues that we need to be careful in how we develop and use it.
Save
Explores the impact of AI, including generative AI, on our lives and our future.
Explores the ethical issues surrounding AI, including generative AI, and provides guidance on how to develop and use it responsibly.
Save
Explores the 12 technological forces that will shape our future, including generative AI.
Save
Explores the future of humanity, including the potential impact of AI, such as generative AI.
Explores the future of AI, including generative AI, and argues that it will eventually lead to the singularity, a point at which technological progress becomes uncontrollable and irreversible.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/eebw0r/introduction
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Level
Introductory
Via
Coursera
Institution
Amazon Web Services
Instructor
AWS Instructor
Language
English
Good to know
Introduces essential foundational concepts of generative AI and showcases real-world use cases
Taught by AWS instructors, who are recognized experts in the field of generative AI
Helps learners understand the significance of generative AI in a business context
Suitable for business leaders and decision-makers interested in exploring the potential of generative AI in their organizations
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