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OpenAI

Prompt Engineering for IT Administrators

Tim Warner

IT operations professionals can benefit greatly from generative AI in general and OpenAI ChatGPT in particular. This course teaches you how to craft ChatGPT prompts for maximum accuracy and efficiency.

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IT operations professionals can benefit greatly from generative AI in general and OpenAI ChatGPT in particular. This course teaches you how to craft ChatGPT prompts for maximum accuracy and efficiency.

OpenAI ChatGPT can be enormously useful to IT operations professionals, but you have to know how to submit the best prompts to the AI. In this course, OpenAI: Prompt Engineering for IT Administrators, you’ll learn precisely what prompt engineering is and how to leverage it to get the most out of ChatGPT. First, you’ll come to terms with precisely what prompt engineering is and how it works. Next, you’ll practice prompting ChatGPT UI to solve IT operations work problems. Finally, you’ll learn how to craft reusable prompt templates in ChatGPT Enterprise. When you’re finished with this course, you’ll have the skills and knowledge of prompt engineering needed to gain valuable insights from ChatGPT to make your work more efficient and effective.

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What's inside

Syllabus

Course Overview
Prompting ChatGPT for Maximum Effectiveness

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches how to use OpenAI ChatGPT effectively, which is a valuable tool for IT operations professionals
Instructed by Tim Warner, who has expertise in the use of OpenAI ChatGPT for IT operations
Develops prompt engineering skills, which enables learners to derive the most from ChatGPT
Focuses on using OpenAI ChatGPT to solve IT operations work problems, which ensures relevance to learners' roles
Teaches how to craft reusable prompt templates, which increases efficiency and productivity

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Activities

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Career center

Learners who complete OpenAI: Prompt Engineering for IT Administrators will develop knowledge and skills that may be useful to these careers:
IT Administrator
An IT Administrator's responsibilities involve the set up, maintenance, and administration of computer systems within a company or organization. This course provides an in-depth understanding of OpenAI's ChatGPT, an AI tool that can help automate tasks and improve efficiency. By honing their prompt engineering skills in this course, IT Administrators can maximize the potential of ChatGPT and streamline their operations.
Cloud Architect
Cloud Architects design, implement, and manage cloud computing solutions for businesses. By taking this course, Cloud Architects can develop the skills to effectively use OpenAI's ChatGPT to automate and optimize cloud operations. ChatGPT can assist in tasks such as resource provisioning, performance monitoring, and cost optimization, allowing Cloud Architects to work more efficiently and deliver better cloud solutions.
DevOps Engineer
DevOps Engineers are responsible for bridging the gap between development and operations teams. By completing this course, DevOps Engineers can learn how to leverage OpenAI's ChatGPT to automate and streamline software delivery processes. ChatGPT can help with tasks such as code review, testing, and deployment, allowing DevOps Engineers to improve collaboration and reduce development time.
Data Analyst
Data Analysts gather, analyze, and interpret data to provide insights for businesses. This course teaches students how to use OpenAI's ChatGPT to automate data processing and analysis tasks. ChatGPT can assist in data cleaning, feature engineering, and model building, allowing Data Analysts to work more efficiently and extract valuable insights from data.
Machine Learning Engineer
Machine Learning Engineers design, build, and maintain machine learning models for various applications. This course provides a foundation in prompt engineering for OpenAI's ChatGPT, which can assist in tasks such as data preparation, model training, and evaluation. By effectively using ChatGPT, Machine Learning Engineers can improve the accuracy and efficiency of their models.
Software Engineer
Software Engineers design, develop, and maintain software applications. This course teaches students how to use OpenAI's ChatGPT to automate and improve software development tasks. ChatGPT can assist in tasks such as code generation, debugging, and testing, allowing Software Engineers to work more efficiently and deliver high-quality software.
Systems Engineer
Systems Engineers design, build, and maintain complex systems, including computer networks, software applications, and physical infrastructure. This course provides a foundation in prompt engineering for OpenAI's ChatGPT, which can assist in tasks such as system design, configuration, and troubleshooting. By effectively using ChatGPT, Systems Engineers can improve the reliability and efficiency of their systems.
Network Engineer
Network Engineers design, build, and maintain computer networks. This course provides a foundation in prompt engineering for OpenAI's ChatGPT, which can assist in tasks such as network configuration, troubleshooting, and security. By effectively using ChatGPT, Network Engineers can improve the performance and reliability of their networks.
Database Administrator
Database Administrators are responsible for managing and maintaining databases. This course provides a foundation in prompt engineering for OpenAI's ChatGPT, which can assist in tasks such as database design, optimization, and backup. By effectively using ChatGPT, Database Administrators can improve the performance and reliability of their databases.
Security Analyst
Security Analysts are responsible for identifying and mitigating security risks within an organization. This course teaches students how to use OpenAI's ChatGPT to automate and improve security analysis tasks. ChatGPT can assist in tasks such as threat detection, incident response, and vulnerability assessment, allowing Security Analysts to work more efficiently and protect their organizations from cyber threats.

Reading list

We've selected 15 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 OpenAI: Prompt Engineering for IT Administrators.
Comprehensive guide to speech and language processing. It covers the basics of speech and language processing, as well as more advanced topics such as speech recognition and natural language understanding.
Comprehensive guide to machine learning for text. It covers the basics of machine learning for text, as well as more advanced topics such as text classification and machine translation.
Practical guide to deep learning for coders. It covers the basics of deep learning, as well as more advanced topics such as convolutional neural networks and recurrent neural networks. It also provides a number of coding exercises and projects.
Comprehensive guide 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. It also provides a number of coding exercises and projects.
Practical guide to machine learning with Python. It covers the basics of machine learning, as well as more advanced topics such as deep learning. It also provides a number of coding exercises and projects.
Introduces the principles and practices of site reliability engineering (SRE), a DevOps approach to ensuring the reliability and performance of IT systems. It provides guidance on designing, operating, and monitoring systems to achieve high availability and resilience.
Presents the DevOps philosophy and practices, emphasizing the collaboration between development and operations teams. It provides case studies and best practices for implementing DevOps in IT organizations to improve software delivery and system reliability.
Provides a comprehensive overview of cloud computing, covering its concepts, technologies, and architectures. It offers insights into different cloud deployment models and services, as well as best practices for cloud adoption and management.
Provides a comprehensive guide to Python for data analysis, covering data manipulation, visualization, and statistical modeling. It is essential for IT professionals who need to analyze and interpret data effectively.
Provides a comprehensive introduction to natural language processing (NLP) with Python. It covers a wide range of NLP topics, including text classification, sentiment analysis, and machine translation, providing valuable insights for IT professionals involved in NLP applications.
Provides a comprehensive overview of operating systems, covering concepts such as process management, memory management, and file systems. It offers a solid foundation for IT professionals who need to understand the fundamentals of operating systems.
Provides a comprehensive overview of database systems, covering data models, query processing, and transaction management. It offers a strong foundation for IT professionals who need to understand the fundamentals of database systems.

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