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Bogdan Sucaciu
Dive into the rapidly evolving intersection of GenAI and development. This course will teach you how to incorporate Generative AI into your development projects, enhancing efficiency and creativity while navigating security and legal considerations.
Read more
Dive into the rapidly evolving intersection of GenAI and development. This course will teach you how to incorporate Generative AI into your development projects, enhancing efficiency and creativity while navigating security and legal considerations.
Read more
Dive into the rapidly evolving intersection of GenAI and development. This course will teach you how to incorporate Generative AI into your development projects, enhancing efficiency and creativity while navigating security and legal considerations.
In the rapidly evolving field of software development, integrating Generative AI technologies presents a unique set of challenges. In this course, Generative AI Data Privacy and Safe Use for Developers, you’ll learn to safely incorporate Generative AI into your development projects, enhancing efficiency and creativity while navigating security and legal considerations. First, you’ll explore the foundational concepts of Generative AI technologies. Next, you’ll discover considerations for addressing data privacy challenges. Finally, you’ll learn how to identify and mitigate security risks. When you’re finished with this course, you’ll have the skills and knowledge of Generative AI needed to to responsibly leverage these powerful technologies in your projects.
Register for this course and see more details by visiting:
OpenCourser.com/course/6f153j/generative
What's inside
Syllabus
Course Overview
Ensuring Safety with Using Generative AI
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Covers current industry practices and advancements in Generative AI
Helps developers adopt ethical considerations and responsible use of Generative AI
Suitable for developers with interest in integrating Generative AI into their projects
Taught by experienced instructors with a strong reputation in the field
Provides a comprehensive overview of both the potential and risks associated with Generative AI
Involves hands-on labs and interactive materials to enhance understanding
Save this course
Save Generative AI Data Privacy and Safe Use 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 Generative AI Data Privacy and Safe Use for Developers with these
activities:
Explore Generative AI tools and resources (e.g., Hugging Face, OpenAI)
Show steps
Familiarizing yourself with these tools and resources will enhance your ability to apply Generative AI techniques effectively.
Browse courses on
Generative AI Tools
Show steps
-
Visit the websites of platforms like Hugging Face and OpenAI.
-
Explore their documentation and tutorials on Generative AI.
-
Experiment with sample code or pre-trained models provided by these platforms.
Create a Generative AI Resource Collection
Show steps
Compile a collection of useful Generative AI resources, including articles, tutorials, tools, and projects.
Browse courses on
Generative AI
Show steps
-
Conduct online research to find relevant Generative AI resources.
-
Organize the resources into a structured format, such as a website or online document.
-
Make the resource collection accessible to others.
Follow Generative AI Tutorials
Show steps
Follow online tutorials and courses to gain a deeper understanding of Generative AI concepts and techniques.
Browse courses on
Generative AI
Show steps
-
Search for online tutorials and courses on Generative AI.
-
Select reputable sources and instructors.
-
Follow the tutorials step-by-step and complete the exercises.
-
Apply what you learn to your own projects.
Nine other activities
Expand to see all activities and additional details
Show all 12 activities
Review key concepts from basic statistics and machine learning
Show steps
Revising these concepts will strengthen your understanding of the foundations upon which Generative AI is built.
Browse courses on
Machine Learning
Show steps
-
Go over notes or textbooks from previous courses or self-study materials.
-
Take practice quizzes or solve problems related to these concepts.
Experiment with Generative AI Tools
Show steps
Experiment with various Generative AI tools to gain hands-on experience and explore their capabilities.
Browse courses on
Generative AI
Show steps
-
Explore and select different Generative AI tools available online.
-
Experiment with different functionalities and features of these tools.
-
Create and iterate on your own text, image, or code generations.
-
Compare and analyze the results of various tools.
Join a Generative AI Study Group
Show steps
Join a study group to discuss Generative AI concepts, share ideas, and collaborate on projects.
Browse courses on
Generative AI
Show steps
-
Find or create a study group with other individuals interested in Generative AI.
-
Establish a regular meeting schedule.
-
Discuss course materials, research papers, and industry trends.
-
Work on projects together and provide feedback to each other.
Build a Generative AI App
Show steps
Start developing your own Generative AI application to apply your knowledge and creativity.
Browse courses on
Generative AI
Show steps
-
Define the problem you want to solve and gather the necessary data.
-
Choose the appropriate Generative AI model and train it on your data.
-
Design and develop the user interface and functionality of your app.
-
Deploy your app and evaluate its performance.
Write a Blog Post on Generative AI Applications
Show steps
Write a blog post that explores the applications of Generative AI in various fields, such as art, healthcare, and finance.
Browse courses on
Generative AI
Show steps
-
Research and identify different applications of Generative AI.
-
Choose a specific application and explore its benefits and challenges.
-
Write a well-structured and engaging blog post that explains the application and its implications.
Build a simple Generative AI model using a pre-trained model
Show steps
Practical experience in building a Generative AI model will enhance your comprehension of the process and its applications.
Browse courses on
Generative AI Applications
Show steps
-
Choose a pre-trained model relevant to your interests or a specific task.
-
Follow tutorials or documentation to set up the necessary environment and tools.
-
Train the model on a dataset that aligns with your chosen task.
-
Evaluate the model's performance and make adjustments as needed.
Develop a Generative AI Case Study
Show steps
Develop a case study that showcases a successful application of Generative AI in a real-world scenario.
Browse courses on
Generative AI
Show steps
-
Identify a business or industry where Generative AI can provide value.
-
Develop a solution using Generative AI and describe its benefits and limitations.
-
Evaluate the results and discuss the impact of Generative AI on the organization.
Mentor Junior Developers in Generative AI
Show steps
Share your knowledge and experience by mentoring junior developers in Generative AI.
Browse courses on
Generative AI
Show steps
-
Identify opportunities to mentor junior developers, such as through online forums or mentorship programs.
-
Provide guidance on Generative AI concepts, tools, and techniques.
-
Review their code and offer feedback to help them improve their skills.
-
Encourage them to explore Generative AI projects and share their work.
Write a blog post or article about a Generative AI use case
Show steps
Documenting your understanding of a Generative AI use case will reinforce your knowledge and encourage critical thinking.
Browse courses on
Generative AI Applications
Show steps
-
Research and identify a specific Generative AI application.
-
Analyze the application's benefits, limitations, and ethical considerations.
-
Write a clear and concise article that presents your findings.
Explore Generative AI tools and resources (e.g., Hugging Face, OpenAI)
Show steps
Familiarizing yourself with these tools and resources will enhance your ability to apply Generative AI techniques effectively.
Browse courses on
Generative AI Tools
Show steps
Show steps
Show steps
- Visit the websites of platforms like Hugging Face and OpenAI.
- Explore their documentation and tutorials on Generative AI.
- Experiment with sample code or pre-trained models provided by these platforms.
Create a Generative AI Resource Collection
Show steps
Compile a collection of useful Generative AI resources, including articles, tutorials, tools, and projects.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Conduct online research to find relevant Generative AI resources.
- Organize the resources into a structured format, such as a website or online document.
- Make the resource collection accessible to others.
Follow Generative AI Tutorials
Show steps
Follow online tutorials and courses to gain a deeper understanding of Generative AI concepts and techniques.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Search for online tutorials and courses on Generative AI.
- Select reputable sources and instructors.
- Follow the tutorials step-by-step and complete the exercises.
- Apply what you learn to your own projects.
Nine other activities
Expand to see all activities and additional details
Show all 12 activities
Review key concepts from basic statistics and machine learning
Show steps
Revising these concepts will strengthen your understanding of the foundations upon which Generative AI is built.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Go over notes or textbooks from previous courses or self-study materials.
- Take practice quizzes or solve problems related to these concepts.
Experiment with Generative AI Tools
Show steps
Experiment with various Generative AI tools to gain hands-on experience and explore their capabilities.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Explore and select different Generative AI tools available online.
- Experiment with different functionalities and features of these tools.
- Create and iterate on your own text, image, or code generations.
- Compare and analyze the results of various tools.
Join a Generative AI Study Group
Show steps
Join a study group to discuss Generative AI concepts, share ideas, and collaborate on projects.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Find or create a study group with other individuals interested in Generative AI.
- Establish a regular meeting schedule.
- Discuss course materials, research papers, and industry trends.
- Work on projects together and provide feedback to each other.
Build a Generative AI App
Show steps
Start developing your own Generative AI application to apply your knowledge and creativity.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Define the problem you want to solve and gather the necessary data.
- Choose the appropriate Generative AI model and train it on your data.
- Design and develop the user interface and functionality of your app.
- Deploy your app and evaluate its performance.
Write a Blog Post on Generative AI Applications
Show steps
Write a blog post that explores the applications of Generative AI in various fields, such as art, healthcare, and finance.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Research and identify different applications of Generative AI.
- Choose a specific application and explore its benefits and challenges.
- Write a well-structured and engaging blog post that explains the application and its implications.
Build a simple Generative AI model using a pre-trained model
Show steps
Practical experience in building a Generative AI model will enhance your comprehension of the process and its applications.
Browse courses on
Generative AI Applications
Show steps
Show steps
Show steps
- Choose a pre-trained model relevant to your interests or a specific task.
- Follow tutorials or documentation to set up the necessary environment and tools.
- Train the model on a dataset that aligns with your chosen task.
- Evaluate the model's performance and make adjustments as needed.
Develop a Generative AI Case Study
Show steps
Develop a case study that showcases a successful application of Generative AI in a real-world scenario.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Identify a business or industry where Generative AI can provide value.
- Develop a solution using Generative AI and describe its benefits and limitations.
- Evaluate the results and discuss the impact of Generative AI on the organization.
Mentor Junior Developers in Generative AI
Show steps
Share your knowledge and experience by mentoring junior developers in Generative AI.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Identify opportunities to mentor junior developers, such as through online forums or mentorship programs.
- Provide guidance on Generative AI concepts, tools, and techniques.
- Review their code and offer feedback to help them improve their skills.
- Encourage them to explore Generative AI projects and share their work.
Write a blog post or article about a Generative AI use case
Show steps
Documenting your understanding of a Generative AI use case will reinforce your knowledge and encourage critical thinking.
Browse courses on
Generative AI Applications
Show steps
Show steps
Show steps
- Research and identify a specific Generative AI application.
- Analyze the application's benefits, limitations, and ethical considerations.
- Write a clear and concise article that presents your findings.
Career center
Learners who complete Generative AI Data Privacy and Safe Use for Developers will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists use data to solve problems and make predictions. They work with data from a variety of sources, and they use statistical and machine learning techniques to analyze data and extract insights. This course provides a solid foundation in the fundamentals of Generative AI, which can be beneficial for Data Scientists who want to incorporate Generative AI into their work.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers use artificial intelligence and machine learning to find solutions to real-world problems. They develop and implement machine learning algorithms, and they work to improve the accuracy and efficiency of these algorithms. This course provides a solid foundation in the fundamentals of Generative AI, which can be beneficial for Machine Learning Engineers who want to incorporate Generative AI into their work.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. They work with a variety of programming languages and technologies, and they use their skills to create software that meets the needs of users. This course provides a solid foundation in the fundamentals of Generative AI, which can be beneficial for Software Engineers who want to incorporate Generative AI into their work.
Data Analyst
Data Analyst
Data Analysts use data to solve problems and make decisions. They work with data from a variety of sources, and they use statistical and machine learning techniques to analyze data and extract insights. This course provides a solid foundation in the fundamentals of Generative AI, which can be beneficial for Data Analysts who want to incorporate Generative AI into their work.
Information Security Analyst
Information Security Analyst
Information Security Analysts are responsible for the security of information systems. They work with a variety of security technologies, and they use their skills to protect information systems from threats. This course provides a solid foundation in the fundamentals of Generative AI, which can be beneficial for Information Security Analysts who want to incorporate Generative AI into their work.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. They work with stakeholders to identify market opportunities, and they use their skills to develop products that meet the needs of customers. This course provides a solid foundation in the fundamentals of Generative AI, which can be beneficial for Product Managers who want to incorporate Generative AI into their work.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data pipelines. They work with data from a variety of sources, and they use their skills to develop data pipelines that are efficient and reliable. This course provides a solid foundation in the fundamentals of Generative AI, which can be beneficial for Data Engineers who want to incorporate Generative AI into their work.
Systems Analyst
Systems Analyst
Systems Analysts analyze and design systems. They work with a variety of systems, and they use their skills to develop systems that are efficient and effective. This course provides a solid foundation in the fundamentals of Generative AI, which can be beneficial for Systems Analysts who want to incorporate Generative AI into their work.
IT Architect
IT Architect
IT Architects design and implement IT systems. They work with a variety of technologies, and they use their skills to develop IT systems that are efficient and reliable. This course provides a solid foundation in the fundamentals of Generative AI, which can be beneficial for IT Architects who want to incorporate Generative AI into their work.
Software Architect
Software Architect
Software Architects design and implement software systems. They work with a variety of programming languages and technologies, and they use their skills to develop software systems that are efficient and reliable. This course provides a solid foundation in the fundamentals of Generative AI, which can be beneficial for Software Architects who want to incorporate Generative AI into their work.
Project Manager
Project Manager
Project Managers are responsible for the planning, execution, and delivery of projects. They work with stakeholders to define project goals, and they use their skills to develop and execute project plans. This course provides a solid foundation in the fundamentals of Generative AI, which can be beneficial for Project Managers who want to incorporate Generative AI into their work.
User Experience Designer
User Experience Designer
User Experience Designers design and implement user interfaces. They work with a variety of design tools and technologies, and they use their skills to develop user interfaces that are intuitive and easy to use. This course provides a solid foundation in the fundamentals of Generative AI, which can be beneficial for User Experience Designers who want to incorporate Generative AI into their work.
Business Analyst
Business Analyst
Business Analysts use data and analysis to identify and solve business problems. They work with stakeholders to understand their needs, and they use their skills to develop solutions that meet those needs. This course provides a solid foundation in the fundamentals of Generative AI, which can be beneficial for Business Analysts who want to incorporate Generative AI into their work.
Database Administrator
Database Administrator
Database Administrators are responsible for the administration and maintenance of databases. They work with databases from a variety of vendors, and they use their skills to ensure that databases are running smoothly and efficiently. This course provides a solid foundation in the fundamentals of Generative AI, which can be beneficial for Database Administrators who want to incorporate Generative AI into their work.
Web Developer
Web Developer
Web Developers design and develop websites. They work with a variety of programming languages and technologies, and they use their skills to develop websites that are visually appealing and easy to navigate. This course provides a solid foundation in the fundamentals of Generative AI, which can be beneficial for Web Developers who want to incorporate Generative AI into their work.
For more career information including salaries, visit:
OpenCourser.com/course/6f153j/generative
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
Generative AI Data Privacy and Safe Use for Developers.
Save
Comprehensive guide to deep learning. It covers all the major concepts of deep learning, from the basics to advanced techniques.
Provides a comprehensive overview of the public interest in data privacy. It covers topics such as the benefits and risks of data collection and the need for data privacy protection.
Provides a comprehensive guide to machine learning with Python. It covers topics such as supervised learning, unsupervised learning, and reinforcement learning.
Save
Provides a thorough background in AI safety and security, from theoretical to practical. It will help developers understand the potential risks of Generative AI and how to mitigate them or avoid them entirely.
Classic in the field of data science. It provides a comprehensive overview of the fundamental concepts of statistical learning, including supervised and unsupervised learning algorithms.
Save
Provides a forward-looking perspective on the future of data privacy law. It covers topics such as the impact of new technologies on data privacy and the need for new data privacy laws.
Provides a practical guide to deep learning for coders. It covers topics such as convolutional neural networks, recurrent neural networks, and generative adversarial networks.
Provides a practical guide to machine learning with Scikit-Learn and TensorFlow. It covers topics such as supervised learning, unsupervised learning, and reinforcement learning.
Provides a comprehensive overview of the practical aspects of Generative AI and Generative Models. It would be an appropriate starting point or primer on the topic and will help anyone new to Generative AI understand the current landscape of Generative Models and their applications.
Is intended for developers and and those new to data science who need to become familiar with the essential Python libraries for data analysis.
Provides a comprehensive and easy-to-understand introduction to machine learning. It covers topics such as supervised learning, unsupervised learning, and reinforcement learning.
Provides a practical guide to data science design. It covers topics such as data collection, data analysis, and data visualization.
Provides a quick and easy reference to machine learning. It covers topics such as supervised learning, unsupervised learning, and reinforcement learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/6f153j/generative
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Time
36 hours
Level
Introductory
Via
Pluralsight
Instructor
Bogdan Sucaciu
Language
English
Good to know
Covers current industry practices and advancements in Generative AI
Helps developers adopt ethical considerations and responsible use of Generative AI
Suitable for developers with interest in integrating Generative AI into their projects
Taught by experienced instructors with a strong reputation in the field
Provides a comprehensive overview of both the potential and risks associated with Generative AI
Involves hands-on labs and interactive materials to enhance understanding
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