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AI for Everyday Life
Jeanne Beatrix Law
Jeanne Beatrix Law
This course takes the mystery generative artificial intelligence (gen-AI) and explains its uses straightforward language for people who want to use it in their everyday lives.
Read more
This course takes the mystery generative artificial intelligence (gen-AI) and explains its uses straightforward language for people who want to use it in their everyday lives.
Read more
This course takes the mystery generative artificial intelligence (gen-AI) and explains its uses straightforward language for people who want to use it in their everyday lives.
Knowing how to describe and use generative AI effectively is an Important skillset to successfully engaging in all types of personal communication, from social media posts to emails and blogs. Learners will gain a clear understanding what generative AI is and learn the fundamental skills required to use gen-AI ethically and effectively. Participants will be provided tested methods for prompting an AI Assistant, such as ChatGPT, Claude, and Gemini to yield useful results.
Register for this course and see more details by visiting:
OpenCourser.com/course/7sg3mf/ai
What's inside
Syllabus
Course Introduction
This module will give you an introduction and overview of this course. Learners will meet the instructor and receive instruction on course expectations.
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Syllabus
Course Introduction
This module will give you an introduction and overview of this course. Learners will meet the instructor and receive instruction on course expectations.
Read more
AI Skills for Everyday Life
In this module, participants will learn various AI definitions and prompting methods that will assist them in dealing with artificial intelligence in many different aspects of their everyday lives.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Builds on learners' existing AI knowledge from other courses, bootcamps, or training programs
Develops gen-AI skills that are highly relevant for business, personal development, and marketing
Teaches fundamental methods and best practices in gen-AI prompting
Provides tested methods for using gen-AI effectively and ethically
Suitable for beginners with basic AI knowledge and experienced learners
Examines various AI definitions and prompting strategies
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Activities
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AI for Everyday Life.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete AI for Everyday Life will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data analysts assist organizations in collecting, analyzing, and interpreting data to support decision-making. The course on AI for Everyday Life can provide data analysts with a strong foundation in AI and machine learning, enabling them to harness the power of AI to uncover insights from data. The course can help data analysts learn how to use AI tools to automate tasks such as data cleaning and wrangling, as well as to build predictive models and generate reports.
Content Creator
Content Creator
Content creators produce written, visual, and audio content for use in marketing, education, and entertainment. The course on AI for Everyday Life can help content creators understand how AI tools can enhance their creativity, such as using AI to generate ideas, write copy, and create visuals. The course can also help content creators learn how to use AI to distribute their content and track its performance.
Technical Writer
Technical Writer
Technical writers create documentation, user guides, and other materials that helps users understand complex software and systems. The course on AI for Everyday Life can help technical writers understand how AI tools can simplify their workflow, such as using AI to analyze data and generate summaries or to automate repetitive tasks. The course can also help technical writers learn how to use AI-based technologies to create more engaging and interactive documentation.
Marketing Manager
Marketing Manager
Marketing managers oversee the development and execution of marketing campaigns. The course on AI for Everyday Life can help marketing managers understand how AI tools can enhance their campaigns, such as using AI to identify target audiences, automate marketing tasks, and create personalized content. The course can also help marketing managers learn how to use AI to track and measure the effectiveness of their campaigns.
User Experience (UX) Designer
User Experience (UX) Designer
UX designers are responsible for designing websites, apps, and other digital experiences that are both user-friendly and visually appealing. The course on AI for Everyday Life can help UX designers understand how AI tools can enhance the user experience, such as using AI to personalize content and recommendations or to create more intuitive interfaces. The course can also help UX designers learn how to use AI to automate tasks such as user testing and data analysis.
Customer Success Manager
Customer Success Manager
Customer success managers ensure that customers are satisfied with their products or services and are successful in using them. The course on AI for Everyday Life can help customer success managers understand how AI tools can enhance their customer support efforts, such as using AI to provide personalized support, automate responses, and track customer sentiment. The course can also help customer success managers learn how to use AI to identify and resolve customer issues.
Product Manager
Product Manager
Product managers oversee the development and launch of new products or services. The course on AI for Everyday Life can help product managers understand how AI tools can enhance their product development process, such as using AI to identify customer needs, test new features, and track product performance. The course can also help product managers learn how to use AI to create and manage product roadmaps.
Business Analyst
Business Analyst
Business analysts identify and analyze business needs and develop solutions to improve business processes. The course on AI for Everyday Life can help business analysts understand how AI tools can enhance their business analysis process, such as using AI to gather data, identify trends, and develop recommendations. The course can also help business analysts learn how to use AI to create business cases and communicate their findings to stakeholders.
Operations Manager
Operations Manager
Operations managers oversee the day-to-day operations of a business. The course on AI for Everyday Life can help operations managers understand how AI tools can enhance their operations, such as using AI to automate tasks, optimize processes, and improve efficiency. The course can also help operations managers learn how to use AI to track key performance indicators and identify areas for improvement.
Software Engineer
Software Engineer
Software engineers design, develop, and test software applications. The course on AI for Everyday Life can help software engineers understand how AI tools can enhance their software development process, such as using AI to automate tasks, improve code quality, and identify defects. The course can also help software engineers learn how to use AI to create and manage software systems.
Sales Manager
Sales Manager
Sales managers oversee the sales team and are responsible for achieving sales targets. The course on AI for Everyday Life can help sales managers understand how AI tools can enhance their sales process, such as using AI to identify leads, track customer relationships, and close deals. The course can also help sales managers learn how to use AI to train and motivate their sales team.
Project Manager
Project Manager
Project managers oversee the planning, execution, and completion of projects. The course on AI for Everyday Life can help project managers understand how AI tools can enhance their project management process, such as using AI to track project progress, manage resources, and identify risks. The course can also help project managers learn how to use AI to communicate with stakeholders and collaborate with team members.
Data Engineer
Data Engineer
Data engineers design, build, and maintain data pipelines and systems. The course on AI for Everyday Life can help data engineers understand how AI tools can enhance their data engineering process, such as using AI to automate tasks, improve data quality, and identify anomalies. The course can also help data engineers learn how to use AI to create and manage data lakes and warehouses.
Machine Learning Engineer
Machine Learning Engineer
Machine learning engineers design, build, and deploy machine learning models. The course on AI for Everyday Life can help machine learning engineers understand how AI tools can enhance their machine learning development process, such as using AI to automate tasks, improve model accuracy, and identify bias. The course can also help machine learning engineers learn how to use AI to create and manage machine learning pipelines.
Artificial Intelligence Researcher
Artificial Intelligence Researcher
Artificial intelligence researchers develop new AI algorithms and techniques. The course on AI for Everyday Life can help artificial intelligence researchers understand how AI tools can enhance their research process, such as using AI to generate new ideas, test hypotheses, and analyze data. The course can also help artificial intelligence researchers learn how to use AI to create and manage AI systems.
For more career information including salaries, visit:
OpenCourser.com/course/7sg3mf/ai
Reading list
We've selected 18 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
AI for Everyday Life.
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Provides a comprehensive overview of the potential dangers of AI, including the risk of a superintelligence that could pose a threat to humanity. It valuable resource for anyone who wants to understand the risks of AI and the need for responsible development.
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Provides a comprehensive overview of the potential impact of AI on our lives and society. It valuable resource for anyone who wants to understand the future of AI and its implications for humanity.
Save
Provides a comprehensive introduction to deep learning, a subfield of AI that uses artificial neural networks to learn complex patterns from data. It valuable resource for those who want to learn about the latest advancements in AI.
Provides a thought-provoking exploration of the ethical and societal implications of AI. It valuable resource for anyone who wants to understand the potential impact of AI on our lives and society.
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Offers a foundational treatment of generative adversarial networks (GANs), providing a deeper understanding of the techniques used in generative AI for image and data generation tasks.
Provides a comprehensive treatment of deep learning techniques for NLP, offering valuable insights into the underlying technologies used in generative AI for language-based tasks.
Provides a comprehensive overview of natural language processing, a subfield of AI that focuses on understanding and generating human language. It valuable resource for those who want to build applications that can process and generate text.
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Provides a thought-provoking exploration of the future of humanity, including the impact of AI on our lives and society. It valuable resource for anyone who wants to understand the potential of AI and the challenges that we need to address as we move into the future.
Provides a thought-provoking exploration of the alignment problem, which is the challenge of ensuring that AI systems are aligned with human values. It valuable resource for anyone who wants to understand the challenges of developing AI systems that are safe and beneficial to humanity.
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Provides a comprehensive overview of computer vision, a subfield of AI that focuses on enabling computers to see and understand the world around them. It valuable resource for those who want to build applications that can process and analyze images and videos.
Provides a practical introduction to machine learning, covering topics such as supervised learning, unsupervised learning, and model evaluation. It great resource for those who want to build their own AI models.
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Examines the fundamental principles underlying AI, providing a deeper understanding of the algorithms and techniques used in generative AI.
Examines the ethical implications of AI development and use, offering guidance on responsible and ethical practices for generative AI.
Provides a comprehensive overview of robotics, a subfield of AI that focuses on building and controlling robots. It valuable resource for those who want to learn about the latest advancements in robotics and build their own robots.
Explores the impact of AI on the workplace, providing insights into how humans and machines can collaborate effectively.
Provides a comprehensive overview of speech and language processing, offering a foundational understanding of the technologies used in generative AI for speech-based tasks.
Provides a comprehensive overview of AI, including its history, different types of AI, real-world applications, and potential challenges. It great resource for beginners who want to understand the basics of AI and its implications for everyday life.
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Examines the business implications of AI, helping readers understand how to leverage AI for competitive advantage and innovation.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/7sg3mf/ai
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Level
Introductory
Via
Coursera
Institution
University System of Georgia
Instructor
Jeanne Beatrix Law
Language
English
Good to know
Builds on learners' existing AI knowledge from other courses, bootcamps, or training programs
Develops gen-AI skills that are highly relevant for business, personal development, and marketing
Teaches fundamental methods and best practices in gen-AI prompting
Provides tested methods for using gen-AI effectively and ethically
Suitable for beginners with basic AI knowledge and experienced learners
Examines various AI definitions and prompting strategies
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