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Get started with Generative AI with AWS DeepComposer. AWS DeepComposer provides developers and students a creative way to get started with machine learning.
Read more
Get started with Generative AI with AWS DeepComposer. AWS DeepComposer provides developers and students a creative way to get started with machine learning.
Read more
Get started with Generative AI with AWS DeepComposer. AWS DeepComposer provides developers and students a creative way to get started with machine learning.
Get started with Generative AI with AWS DeepComposer. AWS DeepComposer provides developers and students a creative way to get started with machine learning. Get hands-on with a musical keyboard and the latest machine learning techniques, designed to expand your ML skills.
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What's inside
Syllabus
Get Started with Generative AI with AWS DeepComposer
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops a creative approach to get started with machine learning
Emphasizes hands-on learning with a musical keyboard
Suitable for both developers and students with an interest in machine learning
Requires access to a musical keyboard, which may pose a barrier to some learners
Save this course
Save Get Started with Generative AI with AWS DeepComposer to your list so you can find it easily later:
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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 Get Started with Generative AI with AWS DeepComposer with these
activities:
Review ML Basics
Show steps
Solidify understanding of core machine learning concepts for a stronger foundational base going into the course
Browse courses on
Machine Learning
Show steps
-
Review linear regression, logistic regression, and decision trees
-
Reread lecture notes and textbook chapters on these topics
-
Complete practice problems and exercises
Review machine learning concepts
Show steps
Refresh your understanding of machine learning concepts to enhance your comprehension of Generative AI techniques.
Browse courses on
Machine Learning
Show steps
-
Review supervised and unsupervised learning.
-
Practice applying machine learning algorithms.
Review Python programming fundamentals
Show steps
Strengthen your Python programming skills to prepare for the course's coding exercises and projects.
Browse courses on
Python
Show steps
-
Review Python syntax and data structures.
-
Practice writing Python code.
Nine other activities
Expand to see all activities and additional details
Show all 12 activities
Organize course notes and resources
Show steps
Stay organized and maximize your learning by keeping a well-structured collection of course materials.
Show steps
-
Create a system for organizing notes, assignments, and other course materials.
-
Regularly review and update your organized materials.
Work through AWS DeepComposer tutorial
Show steps
Practice with the AWS DeepComposer tutorial to reinforce machine learning concepts and become familiar with the platform.
Browse courses on
AWS
Show steps
-
Go to the AWS DeepComposer tutorial website.
-
Follow the instructions in the tutorial to set up your AWS DeepComposer environment.
-
Complete the exercises in the tutorial.
Attend an AI Workshop
Show steps
Gain hands-on experience with AWS DeepComposer and generative AI techniques
Browse courses on
Generative AI
Show steps
-
Research upcoming AI workshops in your area
-
Register for a workshop that aligns with your interests
-
Attend the workshop and actively participate in the activities
Join a study group
Show steps
Enhance your learning experience by collaborating with peers, sharing insights, and receiving support.
Browse courses on
Collaboration
Show steps
-
Find a study group or form one with classmates.
-
Meet regularly to discuss course topics and work on projects.
Practice Composition with AWS DeepComposer
Show steps
Hone your skills with AWS DeepComposer to create melodies, chords, and harmonies
Browse courses on
Generative AI
Show steps
-
Compose a melody using the musical keyboard
-
Generate chords and harmonies using AI algorithms
-
Experiment with different settings and parameters to refine your composition
Explore Generative AI use cases
Show steps
Expand your understanding of Generative AI by exploring its use cases on GitHub, Kaggle, or YouTube.
Browse courses on
Generative AI
Show steps
-
Search for Generative AI use cases on GitHub, Kaggle, or YouTube.
-
Find a use case that interests you.
-
Follow the tutorial or instructions to implement the use case.
Create a Musical Instrument
Show steps
Compose a musical instrument using AI to advance innovation and creativity
Browse courses on
Generative AI
Show steps
-
Brainstorm ideas for a new musical instrument
-
Use AI to generate and refine musical instrument designs
-
Build a prototype of the musical instrument
-
Test and refine the musical instrument's sound and functionality
Build a Generative AI project
Show steps
Solidify your Generative AI skills by building a project that demonstrates your understanding of the concepts.
Browse courses on
Generative AI
Show steps
-
Choose a Generative AI project idea.
-
Gather the necessary data and resources.
-
Build and train your Generative AI model.
-
Deploy and evaluate your Generative AI project.
Assist other students in the course
Show steps
Deepen your understanding of the course material by helping others, while building your communication and leadership skills.
Browse courses on
Mentoring
Show steps
-
Identify opportunities to assist other students.
-
Provide clear and concise explanations.
Review ML Basics
Show steps
Solidify understanding of core machine learning concepts for a stronger foundational base going into the course
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Review linear regression, logistic regression, and decision trees
- Reread lecture notes and textbook chapters on these topics
- Complete practice problems and exercises
Review machine learning concepts
Show steps
Refresh your understanding of machine learning concepts to enhance your comprehension of Generative AI techniques.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Review supervised and unsupervised learning.
- Practice applying machine learning algorithms.
Review Python programming fundamentals
Show steps
Strengthen your Python programming skills to prepare for the course's coding exercises and projects.
Browse courses on
Python
Show steps
Show steps
Show steps
- Review Python syntax and data structures.
- Practice writing Python code.
Nine other activities
Expand to see all activities and additional details
Show all 12 activities
Organize course notes and resources
Show steps
Stay organized and maximize your learning by keeping a well-structured collection of course materials.
Show steps
Show steps
Show steps
- Create a system for organizing notes, assignments, and other course materials.
- Regularly review and update your organized materials.
Work through AWS DeepComposer tutorial
Show steps
Practice with the AWS DeepComposer tutorial to reinforce machine learning concepts and become familiar with the platform.
Browse courses on
AWS
Show steps
Show steps
Show steps
- Go to the AWS DeepComposer tutorial website.
- Follow the instructions in the tutorial to set up your AWS DeepComposer environment.
- Complete the exercises in the tutorial.
Attend an AI Workshop
Show steps
Gain hands-on experience with AWS DeepComposer and generative AI techniques
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Research upcoming AI workshops in your area
- Register for a workshop that aligns with your interests
- Attend the workshop and actively participate in the activities
Join a study group
Show steps
Enhance your learning experience by collaborating with peers, sharing insights, and receiving support.
Browse courses on
Collaboration
Show steps
Show steps
Show steps
- Find a study group or form one with classmates.
- Meet regularly to discuss course topics and work on projects.
Practice Composition with AWS DeepComposer
Show steps
Hone your skills with AWS DeepComposer to create melodies, chords, and harmonies
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Compose a melody using the musical keyboard
- Generate chords and harmonies using AI algorithms
- Experiment with different settings and parameters to refine your composition
Explore Generative AI use cases
Show steps
Expand your understanding of Generative AI by exploring its use cases on GitHub, Kaggle, or YouTube.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Search for Generative AI use cases on GitHub, Kaggle, or YouTube.
- Find a use case that interests you.
- Follow the tutorial or instructions to implement the use case.
Create a Musical Instrument
Show steps
Compose a musical instrument using AI to advance innovation and creativity
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Brainstorm ideas for a new musical instrument
- Use AI to generate and refine musical instrument designs
- Build a prototype of the musical instrument
- Test and refine the musical instrument's sound and functionality
Build a Generative AI project
Show steps
Solidify your Generative AI skills by building a project that demonstrates your understanding of the concepts.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Choose a Generative AI project idea.
- Gather the necessary data and resources.
- Build and train your Generative AI model.
- Deploy and evaluate your Generative AI project.
Assist other students in the course
Show steps
Deepen your understanding of the course material by helping others, while building your communication and leadership skills.
Browse courses on
Mentoring
Show steps
Show steps
Show steps
- Identify opportunities to assist other students.
- Provide clear and concise explanations.
Career center
Learners who complete Get Started with Generative AI with AWS DeepComposer will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer is an expert in developing and implementing machine learning models. They work with data scientists and other engineers to build systems that can learn from data and make predictions. AWS DeepComposer can help Machine Learning Engineers build a foundation in generative AI, which is a growing field with applications in a wide range of industries, such as natural language processing, image generation, and drug discovery.
Data Scientist
Data Scientist
A Data Scientist is a professional who uses data to solve business problems. They collect, clean, and analyze data to identify trends and patterns. AWS DeepComposer can help Data Scientists build a foundation in generative AI, which can be used to generate new data and insights that can help businesses make better decisions.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software systems. They work with a variety of programming languages and technologies to build software that meets the needs of users. AWS DeepComposer can help Software Engineers build a foundation in generative AI, which can be used to develop new software applications that are more creative and innovative.
Product Manager
Product Manager
A Product Manager is responsible for the development and launch of new products. They work with engineers, designers, and marketers to bring products to market that meet the needs of customers. AWS DeepComposer can help Product Managers build a foundation in generative AI, which can be used to generate new product ideas and concepts.
Business Analyst
Business Analyst
A Business Analyst is responsible for understanding the business needs of an organization and developing solutions to meet those needs. They work with stakeholders to gather requirements and develop plans for new systems and processes. AWS DeepComposer can help Business Analysts build a foundation in generative AI, which can be used to generate new ideas for business solutions and to improve the efficiency of existing processes.
Technical Writer
Technical Writer
A Technical Writer is responsible for writing and editing technical documentation. They work with engineers and other technical professionals to create documentation that is clear, concise, and accurate. AWS DeepComposer can help Technical Writers build a foundation in generative AI, which can be used to generate new content and to improve the quality of existing documentation.
Instructional Designer
Instructional Designer
An Instructional Designer is responsible for developing and delivering training programs. They work with subject-matter experts to create training materials that are effective and engaging. AWS DeepComposer can help Instructional Designers build a foundation in generative AI, which can be used to generate new training content and to improve the quality of existing training programs.
User Experience Designer
User Experience Designer
A User Experience Designer is responsible for designing the user interface of a product. They work with engineers and designers to create products that are easy to use and enjoyable to interact with. AWS DeepComposer can help User Experience Designers build a foundation in generative AI, which can be used to generate new design ideas and to improve the user experience of existing products.
Marketer
Marketer
A Marketer is responsible for promoting and selling products and services. They work with a variety of marketing channels to reach target audiences and generate leads. AWS DeepComposer can help Marketers build a foundation in generative AI, which can be used to generate new marketing content and to improve the effectiveness of existing marketing campaigns.
Salesperson
Salesperson
A Salesperson is responsible for selling products and services to customers. They work with customers to understand their needs and to develop solutions that meet those needs. AWS DeepComposer can help Salespeople build a foundation in generative AI, which can be used to generate new sales leads and to improve the quality of existing sales presentations.
Customer Service Representative
Customer Service Representative
A Customer Service Representative is responsible for providing customer service to customers. They work with customers to resolve their issues and to ensure that they have a positive experience. AWS DeepComposer can help Customer Service Representatives build a foundation in generative AI, which can be used to generate new customer service scripts and to improve the quality of existing customer service interactions.
Project Manager
Project Manager
A Project Manager is responsible for planning and executing projects. They work with stakeholders to define project goals and to develop plans for achieving those goals. AWS DeepComposer can help Project Managers build a foundation in generative AI, which can be used to generate new project ideas and to improve the efficiency of existing project management processes.
Financial Analyst
Financial Analyst
A Financial Analyst is responsible for analyzing financial data and making investment recommendations. They work with clients to develop investment strategies and to manage their portfolios. AWS DeepComposer can help Financial Analysts build a foundation in generative AI, which can be used to generate new investment ideas and to improve the accuracy of existing financial models.
Teacher
Teacher
A Teacher is responsible for educating students. They work with students to develop their knowledge and skills in a variety of subjects. AWS DeepComposer can help Teachers build a foundation in generative AI, which can be used to generate new lesson plans and to improve the quality of existing teaching materials.
Librarian
Librarian
A Librarian is responsible for managing a library and its collection of books and other resources. They work with patrons to help them find the information they need. AWS DeepComposer can help Librarians build a foundation in generative AI, which can be used to generate new library materials and to improve the efficiency of existing library services.
For more career information including salaries, visit:
OpenCourser.com/course/c9xeqy/get
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
Get Started with Generative AI with AWS DeepComposer.
Provides a comprehensive introduction to deep learning with Python. It covers the basics of deep learning, as well as more advanced topics such as convolutional neural networks and recurrent neural networks. This book is helpful as a textbook or as a reference.
Save
Provides a comprehensive introduction to generative adversarial networks (GANs). GANs are a type of deep learning model that can be used to generate new data. This book is helpful as a textbook or as a reference.
Provides an introduction to generative deep learning, which type of deep learning that can be used to create new data. This book is helpful as a textbook or as a reference.
Provides a comprehensive introduction to machine learning with R. It covers the basics of machine learning, as well as more advanced topics such as convolutional neural networks and recurrent neural networks. This book is helpful as a textbook or as a reference.
Save
Provides a practical introduction to machine learning with Python. It covers the basics of machine learning, as well as more advanced topics such as deep learning and natural language processing. This book is helpful as a textbook or as a reference.
Provides a practical introduction to machine learning for hackers. It covers the basics of machine learning, as well as more advanced topics such as deep learning and natural language processing. This book is helpful as a textbook or as a reference.
Provides a practical introduction to deep learning using the Fastai and PyTorch libraries. It valuable resource for anyone who wants to learn more about deep learning and its applications in various domains.
Provides a comprehensive overview of machine learning for audio, image, and video analysis. It covers a wide range of topics, from the basics of machine learning to the latest developments in AI and media. It valuable resource for anyone who wants to learn more about this field.
Provides a comprehensive overview of the use of algorithms to generate plant-like structures, covering a wide range of topics from the basics of plant morphology to the latest developments in AI and plant modeling. It valuable resource for anyone who wants to learn more about this field.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/c9xeqy/get
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Time
21 hours
Level
Introductory
Via
Pluralsight
Instructor
Pluralsight LIVE
Language
English
Good to know
Develops a creative approach to get started with machine learning
Emphasizes hands-on learning with a musical keyboard
Suitable for both developers and students with an interest in machine learning
Requires access to a musical keyboard, which may pose a barrier to some learners
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