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Building a Generative AI-Ready Organization
AWS Instructor
AWS Instructor
The Building a Generative AI Ready Organization course provides components needed for a successful organizational adoption of Generative AI. This course focuses on business leaders and other decision-makers currently or potentially involved in Generative AI projects.
Register for this course and see more details by visiting:
OpenCourser.com/course/tp6ww6/building
What's inside
Syllabus
Building a Generative AI Ready Organization
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides components needed for a successful organizational adoption of Generative AI
Focuses on business leaders and other decision-makers currently or potentially involved in Generative AI projects
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Activities
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We're preparing activities for
Building a Generative AI-Ready Organization.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Building a Generative AI-Ready Organization will develop knowledge and skills
that may be useful to these careers:
AI Research Scientist
AI Research Scientist
AI Research Scientists research and develop new AI technologies. This course provides a solid grounding in Generative AI, making it easier for those interested in the subfield to dive deeper into its complexities.
AI Consultant
AI Consultant
AI Consultants advise clients on the use of AI technologies. This course provides a strong foundation in Generative AI, making it easier for those interested in the subfield to dive deeper into its complexities.
AI Engineer
AI Engineer
AI Engineers design, build, and maintain AI systems. This course provides a strong foundation in Generative AI, making it easier for those interested in the subfield to dive deeper into its complexities.
Product Manager
Product Manager
Product Managers are responsible for the planning, development, and launch of new products. This course helps build a foundation in Generative AI, a rapidly growing field with the potential to revolutionize product development.
Data Scientist
Data Scientist
Data Scientists use their knowledge of programming, statistics, and machine learning to extract insights from data. This course provides the foundation needed for a deeper dive into the field of Generative AI, which has the potential to revolutionize the way we work with data.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, build, and maintain machine learning models. This course provides insights into the integration of Generative AI into ML models, which can help advance an ML Engineer's career.
Computer Scientist
Computer Scientist
Computer Scientists research and develop new computing technologies. This course provides insights into the use of Generative AI in computing, which can be valuable for those interested in the subfield.
Machine Learning Scientist
Machine Learning Scientist
Machine Learning Scientists research and develop new machine learning algorithms. This course may provide insights into the integration of Generative AI into ML algorithms, which can help advance a Machine Learning Scientist's career.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. This course may be useful for Software Engineers who want to learn more about Generative AI and its potential applications in software development.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts collect, analyze, and interpret data to identify business trends. This course may be useful for Business Intelligence Analysts who want to learn more about Generative AI and its potential in business intelligence.
Data Architect
Data Architect
Data Architects design and build data architectures. This course may be useful for Data Architects who want to learn more about Generative AI and its potential in data architecture.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to identify trends and patterns. This course may be useful for Data Analysts who want to learn more about Generative AI and its potential in data analysis.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data pipelines. This course may be useful for Data Engineers who want to learn more about Generative AI and its potential in data engineering.
Business Analyst
Business Analyst
Business Analysts identify and solve business problems. This course may be useful for Business Analysts who want to learn more about Generative AI and its potential applications in their field.
Project Manager
Project Manager
Project Managers plan, execute, and close projects. This course may be useful for Project Managers who want to learn more about Generative AI and its potential in project management.
For more career information including salaries, visit:
OpenCourser.com/course/tp6ww6/building
Reading list
We've selected 13 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
Building a Generative AI-Ready Organization.
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Provides a deep dive into the technical details of deep learning, which key technology used in generative AI. It good choice for readers who want to understand the underlying algorithms and techniques.
Provides a practical guide to building and deploying machine learning and AI systems. It good choice for readers who want to learn how to apply these technologies to real-world problems.
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Provides a practical guide to using generative AI for healthcare. It good choice for readers who want to learn how to use generative AI to improve their healthcare.
Provides a practical guide to using generative AI for finance. It good choice for readers who want to learn how to use generative AI to improve their financial performance.
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This authoritative reference provides a comprehensive treatment of deep learning, covering the theory and practice of training and using deep neural networks for various tasks.
This influential textbook provides a rigorous mathematical foundation for statistical learning and is essential for understanding the statistical concepts underlying Generative AI models.
This practical guide provides hands-on experience in building and training machine learning models using popular frameworks like Scikit-Learn, Keras, and TensorFlow.
This practical guide focuses specifically on Generative AI and provides hands-on tutorials for building and training generative models using Python and TensorFlow.
This foundational textbook provides a comprehensive introduction to reinforcement learning, which key technique used in generative models for tasks like text generation and image generation.
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Explores the challenges and prospects of developing artificial general intelligence, which could have profound implications for Generative AI in the future.
This provocative book explores the potential for technological advancements to lead to a singularity, where AI surpasses human intelligence, with implications for Generative AI.
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This thought-provoking book examines the philosophical implications of AI and its potential impact on human existence, including the implications for Generative AI.
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This popular science book explores the potential future of humanity and the role that AI could play, including the potential impact of Generative AI.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/tp6ww6/building
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Effort
1 hour
Level
Introductory
Via
Coursera
Institution
Amazon Web Services
Instructor
AWS Instructor
Language
English
Good to know
Provides components needed for a successful organizational adoption of Generative AI
Focuses on business leaders and other decision-makers currently or potentially involved in Generative AI projects
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