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Xavier Morera
Generative AI sparked a revolution in how we work, how businesses operate, and is reshaping humanity’s future.
Generative AI will not replace you, but someone using it will.
Read more
Generative AI sparked a revolution in how we work, how businesses operate, and is reshaping humanity’s future.
Generative AI will not replace you, but someone using it will.
Read more
Generative AI sparked a revolution in how we work, how businesses operate, and is reshaping humanity’s future.
Generative AI will not replace you, but someone using it will.
In this course, Core Concepts of Generative AI for Developers, you’ll learn about the breadth, opportunity, and recent developments in the current Generative AI market. First, you’ll learn how Gen AI is changing the way business is done and revolutionizing the enterprise. Then, you'll explore the core concepts of Generative AI that you need to know to create the applications of the future.
Finally, you’ll learn the different types of categories available in the Gen AI space, namely based on text, images, audio, and video..
When you’re finished with this course, you’ll have the skills and knowledge of the core concepts of Generative AI needed to understand what you can do to create epic applications.
Register for this course and see more details by visiting:
OpenCourser.com/course/n11ohb/core
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What's inside
Syllabus
Course Overview
The Revolution Created by Generative AI
Generative AI Categories: Text, Image, Video, and Audio
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Explores Generative AI, a transformative technology shaping the future
Taught by Xavier Morera, an expert in Generative AI
Covers the breadth and latest developments in Generative AI technology
Provides a foundation for developing innovative applications using Generative AI
Emphasizes the potential impact of Generative AI on businesses and the workforce
Assumes no prior knowledge of Generative AI, making it accessible to beginners
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Save Core Concepts of Generative AI for Developers 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 Core Concepts of Generative AI for Developers with these
activities:
Review programming intro
Show steps
By brushing up on programming intro concepts, you can prepare yourself for the technical aspects of generative AI.
Show steps
-
Revisit a beginner programming tutorial
-
Review variables, operators, and control flow
Explore libraries and frameworks
Show steps
Familiarize yourself with popular libraries and frameworks for generative AI, enabling you to hit the ground running in practical applications.
Browse courses on
Generative AI Tools
Show steps
-
Find tutorials on building apps with generative AI
-
Follow a step-by-step guide to implement a use case
-
Experiment with different libraries and frameworks
Participate in generative AI challenges
Show steps
Test your skills against others. Participate in challenges to push your limits, gain recognition, and boost your confidence.
Show steps
-
Explore generative AI platforms that host challenges
-
Identify a challenge that aligns with your interests
-
Develop a plan and gather necessary resources
-
Submit your solution and wait for results
One other activity
Expand to see all activities and additional details
Show all four activities
Share your knowledge by mentoring others
Show steps
Consolidate your understanding by mentoring others. It forces you to revisit concepts and articulate them clearly.
Show steps
-
Identify opportunities to mentor beginners in generative AI
-
Prepare materials and resources to support your mentees
-
Provide guidance, feedback, and encouragement
Review programming intro
Show steps
By brushing up on programming intro concepts, you can prepare yourself for the technical aspects of generative AI.
Show steps
Show steps
Show steps
- Revisit a beginner programming tutorial
- Review variables, operators, and control flow
Explore libraries and frameworks
Show steps
Familiarize yourself with popular libraries and frameworks for generative AI, enabling you to hit the ground running in practical applications.
Browse courses on
Generative AI Tools
Show steps
Show steps
Show steps
- Find tutorials on building apps with generative AI
- Follow a step-by-step guide to implement a use case
- Experiment with different libraries and frameworks
Participate in generative AI challenges
Show steps
Test your skills against others. Participate in challenges to push your limits, gain recognition, and boost your confidence.
Show steps
Show steps
Show steps
- Explore generative AI platforms that host challenges
- Identify a challenge that aligns with your interests
- Develop a plan and gather necessary resources
- Submit your solution and wait for results
One other activity
Expand to see all activities and additional details
Show all four activities
Share your knowledge by mentoring others
Show steps
Consolidate your understanding by mentoring others. It forces you to revisit concepts and articulate them clearly.
Show steps
Show steps
Show steps
- Identify opportunities to mentor beginners in generative AI
- Prepare materials and resources to support your mentees
- Provide guidance, feedback, and encouragement
Career center
Learners who complete Core Concepts of Generative AI for Developers will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design and develop machine learning models and algorithms to solve real-world problems. They work with large datasets and use a variety of programming languages and software tools. The course "Core Concepts of Generative AI for Developers" can help Machine Learning Engineers build a foundation in Generative AI, which is a rapidly growing field with a wide range of applications. The course covers the core concepts of Generative AI, including the different types of Generative AI models and how they are used to generate text, images, audio, and video. This knowledge can help Machine Learning Engineers develop new and innovative applications of Generative AI.
Data Scientist
Data Scientist
Data Scientists use data to solve business problems. They collect, clean, and analyze data to identify trends and patterns. They then use this information to develop predictive models and make recommendations. The course "Core Concepts of Generative AI for Developers" can help Data Scientists build a foundation in Generative AI, which can be used to generate new data and augment existing datasets. This can help Data Scientists develop more accurate and reliable models.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. They work with a variety of programming languages and software tools. The course "Core Concepts of Generative AI for Developers" can help Software Engineers build a foundation in Generative AI, which can be used to develop new and innovative software applications. The course covers the core concepts of Generative AI, including the different types of Generative AI models and how they are used to generate text, images, audio, and video.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. They work with a variety of stakeholders, including engineers, designers, and marketers. The course "Core Concepts of Generative AI for Developers" can help Product Managers build a foundation in Generative AI, which can be used to develop new and innovative products. The course covers the core concepts of Generative AI, including the different types of Generative AI models and how they are used to generate text, images, audio, and video.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze financial data. They develop trading strategies and make investment recommendations. The course "Core Concepts of Generative AI for Developers" may be helpful for Quantitative Analysts who want to learn more about Generative AI and how it can be used to generate synthetic financial data. This can help Quantitative Analysts develop more accurate and reliable models.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to identify trends and patterns. They use this information to develop insights and make recommendations. The course "Core Concepts of Generative AI for Developers" may be helpful for Data Analysts who want to learn more about Generative AI and how it can be used to generate new data and augment existing datasets. This can help Data Analysts develop more accurate and reliable insights.
Business Analyst
Business Analyst
Business Analysts identify and analyze business problems and develop solutions. They work with a variety of stakeholders, including business leaders, engineers, and customers. The course "Core Concepts of Generative AI for Developers" may be helpful for Business Analysts who want to learn more about Generative AI and how it can be used to generate new business insights. This can help Business Analysts develop more innovative and effective solutions.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and statistical models to solve complex business problems. They work with a variety of stakeholders, including business leaders, engineers, and customers. The course "Core Concepts of Generative AI for Developers" may be helpful for Operations Research Analysts who want to learn more about Generative AI and how it can be used to generate new solutions to business problems.
Computer Scientist
Computer Scientist
Computer Scientists research and develop new computing technologies. They work on a variety of topics, including artificial intelligence, machine learning, and computer graphics. The course "Core Concepts of Generative AI for Developers" can help Computer Scientists build a foundation in Generative AI, which is a rapidly growing field with a wide range of applications.
Artificial Intelligence Engineer
Artificial Intelligence Engineer
Artificial Intelligence Engineers design and develop artificial intelligence systems. They work on a variety of tasks, including natural language processing, computer vision, and robotics. The course "Core Concepts of Generative AI for Developers" can help Artificial Intelligence Engineers build a foundation in Generative AI, which is a rapidly growing field with a wide range of applications.
Computational Biologist
Computational Biologist
Computational Biologists use computational methods to study biological systems. They work on a variety of topics, including genomics, proteomics, and drug discovery. The course "Core Concepts of Generative AI for Developers" may be helpful for Computational Biologists who want to learn more about Generative AI and how it can be used to generate new biological data. This can help Computational Biologists develop more accurate and reliable models.
Geospatial Analyst
Geospatial Analyst
Geospatial Analysts use geographic information systems (GIS) to analyze spatial data. They work on a variety of topics, including land use planning, environmental modeling, and public health. The course "Core Concepts of Generative AI for Developers" may be helpful for Geospatial Analysts who want to learn more about Generative AI and how it can be used to generate new spatial data. This can help Geospatial Analysts develop more accurate and reliable models.
Materials Scientist
Materials Scientist
Materials Scientists research and develop new materials. They work on a variety of topics, including nanomaterials, semiconductors, and biomaterials. The course "Core Concepts of Generative AI for Developers" may be helpful for Materials Scientists who want to learn more about Generative AI and how it can be used to generate new materials. This can help Materials Scientists develop more innovative and effective materials.
Chemist
Chemist
Chemists study the composition, structure, and properties of matter. They work on a variety of topics, including organic chemistry, inorganic chemistry, and biochemistry. The course "Core Concepts of Generative AI for Developers" may be helpful for Chemists who want to learn more about Generative AI and how it can be used to generate new molecules. This can help Chemists develop more innovative and effective drugs and materials.
Physicist
Physicist
Physicists study the fundamental laws of nature. They work on a variety of topics, including particle physics, astrophysics, and condensed matter physics. The course "Core Concepts of Generative AI for Developers" may be helpful for Physicists who want to learn more about Generative AI and how it can be used to generate new data. This can help Physicists develop more accurate and reliable models.
For more career information including salaries, visit:
OpenCourser.com/course/n11ohb/core
Reading list
We've selected six 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
Core Concepts of Generative AI for Developers.
Provides a comprehensive introduction to deep learning, a fundamental technology used in generative AI. It valuable resource for developers who want to build a strong foundation in this field.
This textbook equips developers with a solid mathematical foundation for machine learning and generative AI, providing a clear and concise explanation of key concepts.
Provides a hands-on introduction to deep learning using Fastai and PyTorch, two popular deep learning frameworks. It valuable resource for developers who want to quickly get started with building deep learning models for generative AI applications.
Save
Provides a comprehensive overview of advanced deep learning techniques, including generative AI. It valuable resource for developers who want to learn how to build state-of-the-art generative AI models.
Save
Explores the use of generative AI in healthcare. It provides examples and case studies of how generative AI is being used to improve patient care and outcomes.
Save
Explores the implications of generative AI for business strategy. It provides insights on how businesses can use generative AI to gain a competitive advantage.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/n11ohb/core
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Time
42 hours
Level
Introductory
Via
Pluralsight
Instructor
Xavier Morera
Language
English
Good to know
Explores Generative AI, a transformative technology shaping the future
Taught by Xavier Morera, an expert in Generative AI
Covers the breadth and latest developments in Generative AI technology
Provides a foundation for developing innovative applications using Generative AI
Emphasizes the potential impact of Generative AI on businesses and the workforce
Assumes no prior knowledge of Generative AI, making it accessible to beginners
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