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Generative AI Data Privacy and Safe Use for Developers

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.

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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.

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What's inside

Syllabus

Course Overview
Ensuring Safety with Using Generative AI

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

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Activities

Coming soon We're preparing activities for Generative AI Data Privacy and Safe Use for Developers. These are activities you can do either before, during, or after a course.

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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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.

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.
Comprehensive guide to deep learning. It covers all the major concepts of deep learning, from the basics to advanced techniques.
Provides a comprehensive guide to machine learning with Python. It covers topics such as supervised learning, unsupervised learning, and reinforcement learning.
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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.
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 quick and easy reference to machine learning. It covers topics such as supervised learning, unsupervised learning, and reinforcement learning.

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