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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
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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.
Read more
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
Save this course
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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 AI for Everyday Life with these
activities:
Review AI Domain Concepts
Show steps
Get the background knowledge you need to succeed by reviewing key concepts in Artificial Intelligence.
Browse courses on
Machine Learning
Show steps
-
Review fundamental concepts of probability theory and statistics.
-
Review foundational concepts of computer programming
-
Understand techniques in Natural Language Processing (NLP)
-
Familiarize yourself with knowledge representation and reasoning
Review prior programming concepts
Show steps
Warming up with foundational concepts will help you better grasp the advanced topics covered in this course.
Browse courses on
Programming
Show steps
-
Review basic syntax and data types of your preferred programming language.
-
Go over core programming concepts such as loops, conditionals, and functions.
-
Solve a few practice problems or coding challenges.
Form a Study Group
Show steps
Enhance your learning experience by discussing course concepts, sharing insights, and working on projects with other students.
Show steps
-
Find a group of classmates with similar interests and learning styles.
-
Establish regular meeting times and decide on a schedule for discussing course materials.
-
Take turns leading discussions, presenting your understanding of concepts, and facilitating group activities.
13 other activities
Expand to see all activities and additional details
Show all 16 activities
Explore Tutorials on Generative AI
Show steps
Expand your knowledge of generative AI through guided tutorials
Show steps
-
Identify relevant tutorials on Coursera, Udemy, or YouTube
-
Select tutorials that align with your learning goals
-
Follow tutorials step-by-step and complete all exercises
Join a study group or online forum for generative AI
Show steps
Engaging with peers can provide different perspectives and enhance your learning experience.
Browse courses on
Generative AI
Show steps
-
Search for online forums or study groups dedicated to generative AI.
-
Join a group that aligns with your interests or level of expertise.
-
Participate in discussions, ask questions, and share knowledge.
Follow a Tutorial on Using OpenAI's Playground
Show steps
Gain hands-on experience with generative AI by following a guided tutorial on using OpenAI's Playground.
Browse courses on
AI Programming
Show steps
-
Find a tutorial on using OpenAI's Playground, such as the one provided by OpenAI.
-
Follow the steps in the tutorial to set up your account and explore the Playground.
-
Experiment with different prompts and instructions to see how the AI responds.
-
Use the Playground to create your own generative AI content, such as text, images, or code.
Practice Prompting ChatGPT
Show steps
Develop proficiency in crafting effective prompts for ChatGPT
Show steps
-
Use ChatGPT to generate text, images, and code
-
Experiment with different prompt formats and styles
-
Analyze results and refine prompts
Execute Chatbot and NLP Code
Show steps
Practice executing code in multiple programming languages to reinforce your understanding of NLP and chatbot development.
Browse courses on
Chatbots
Show steps
-
Build a simple chatbot that can interact with users in a natural language
-
Utilize NLP techniques to extract relevant information from text data
-
Implement machine learning algorithms to classify or predict user input
Follow Tutorials on GPT-3
Show steps
Expand your understanding of how GPT-3 functions by following guided tutorials explaining its capabilities.
Browse courses on
GPT-3
Show steps
-
Follow a tutorial on how to use the GPT-3 API.
-
Complete a tutorial on how to build a chatbot using GPT-3.
-
Work through a tutorial on how to use GPT-3 for text generation.
Complete practice problems on generative AI
Show steps
Practicing on AI-specific problems will help you develop your skills and solidify your understanding.
Browse courses on
Generative AI
Show steps
-
Find online resources or textbooks with practice problems on generative AI.
-
Attempt to solve the problems on your own.
-
Review your solutions and identify areas where you need improvement.
Explore tutorials on practical generative AI applications
Show steps
Tutorials can provide hands-on experience and deepen your understanding of how generative AI is used in the real world.
Browse courses on
Generative AI
Show steps
-
Search for tutorials or online courses that cover practical applications of generative AI.
-
Choose a tutorial that aligns with your interests or career goals.
-
Follow the tutorial steps and complete the exercises.
Write a Blog Post About AI in Communication
Show steps
Demonstrate your understanding of generative AI's applications in communication by creating a blog post that explores its benefits and challenges.
Browse courses on
Generative AI Applications
Show steps
-
Research the benefits and potential challenges of using generative AI in communication.
-
Choose a specific aspect of AI in communication to focus on, such as its use in social media, email marketing, or customer service.
-
Write a draft of your blog post, including an introduction, body, and conclusion.
-
Edit and refine your post for clarity, conciseness, and impact.
-
Publish your post on a platform of your choice, such as a personal blog or Medium.
Create a Generative AI Glossary
Show steps
Deepen your understanding of generative AI terminology
Show steps
-
Compile a list of key terms and concepts from the course
-
Define each term clearly and concisely
-
Provide examples and illustrations to enhance comprehension
Design Generative AI Project
Show steps
Solidify your knowledge and understanding of generative AI by working on a project that utilizes the technology.
Browse courses on
Generative AI
Show steps
-
Identify a problem or opportunity that generative AI can address.
-
Determine the type of generative AI model that will be most appropriate for your project.
-
Gather and prepare the data that will be used to train the generative AI model.
-
Train the generative AI model.
-
Evaluate the performance of the generative AI model.
Develop an AI-Powered Communication Tool
Show steps
Apply your understanding of generative AI to create a practical communication tool, such as a chatbot, language translator, or content generator.
Browse courses on
Generative AI Applications
Show steps
-
Identify a specific communication problem or need that you want to address.
-
Design and develop an AI-powered tool that solves this problem.
-
Test your tool with real users and gather feedback.
-
Refine and improve your tool based on the feedback.
-
Present your tool to your peers or the public.
Create a project that uses generative AI
Show steps
Building a project will give you practical experience and help you develop a deeper understanding of generative AI's capabilities.
Browse courses on
Generative AI
Show steps
-
Brainstorm ideas for a project that leverages generative AI.
-
Choose a project that aligns with your interests and skills.
-
Gather any necessary resources or data.
-
Implement your project using generative AI techniques.
-
Test and evaluate your project's performance.
Review AI Domain Concepts
Show steps
Get the background knowledge you need to succeed by reviewing key concepts in Artificial Intelligence.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Review fundamental concepts of probability theory and statistics.
- Review foundational concepts of computer programming
- Understand techniques in Natural Language Processing (NLP)
- Familiarize yourself with knowledge representation and reasoning
Review prior programming concepts
Show steps
Warming up with foundational concepts will help you better grasp the advanced topics covered in this course.
Browse courses on
Programming
Show steps
Show steps
Show steps
- Review basic syntax and data types of your preferred programming language.
- Go over core programming concepts such as loops, conditionals, and functions.
- Solve a few practice problems or coding challenges.
Form a Study Group
Show steps
Enhance your learning experience by discussing course concepts, sharing insights, and working on projects with other students.
Show steps
Show steps
Show steps
- Find a group of classmates with similar interests and learning styles.
- Establish regular meeting times and decide on a schedule for discussing course materials.
- Take turns leading discussions, presenting your understanding of concepts, and facilitating group activities.
13 other activities
Expand to see all activities and additional details
Show all 16 activities
Explore Tutorials on Generative AI
Show steps
Expand your knowledge of generative AI through guided tutorials
Show steps
Show steps
Show steps
- Identify relevant tutorials on Coursera, Udemy, or YouTube
- Select tutorials that align with your learning goals
- Follow tutorials step-by-step and complete all exercises
Join a study group or online forum for generative AI
Show steps
Engaging with peers can provide different perspectives and enhance your learning experience.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Search for online forums or study groups dedicated to generative AI.
- Join a group that aligns with your interests or level of expertise.
- Participate in discussions, ask questions, and share knowledge.
Follow a Tutorial on Using OpenAI's Playground
Show steps
Gain hands-on experience with generative AI by following a guided tutorial on using OpenAI's Playground.
Browse courses on
AI Programming
Show steps
Show steps
Show steps
- Find a tutorial on using OpenAI's Playground, such as the one provided by OpenAI.
- Follow the steps in the tutorial to set up your account and explore the Playground.
- Experiment with different prompts and instructions to see how the AI responds.
- Use the Playground to create your own generative AI content, such as text, images, or code.
Practice Prompting ChatGPT
Show steps
Develop proficiency in crafting effective prompts for ChatGPT
Show steps
Show steps
Show steps
- Use ChatGPT to generate text, images, and code
- Experiment with different prompt formats and styles
- Analyze results and refine prompts
Execute Chatbot and NLP Code
Show steps
Practice executing code in multiple programming languages to reinforce your understanding of NLP and chatbot development.
Browse courses on
Chatbots
Show steps
Show steps
Show steps
- Build a simple chatbot that can interact with users in a natural language
- Utilize NLP techniques to extract relevant information from text data
- Implement machine learning algorithms to classify or predict user input
Follow Tutorials on GPT-3
Show steps
Expand your understanding of how GPT-3 functions by following guided tutorials explaining its capabilities.
Browse courses on
GPT-3
Show steps
Show steps
Show steps
- Follow a tutorial on how to use the GPT-3 API.
- Complete a tutorial on how to build a chatbot using GPT-3.
- Work through a tutorial on how to use GPT-3 for text generation.
Complete practice problems on generative AI
Show steps
Practicing on AI-specific problems will help you develop your skills and solidify your understanding.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Find online resources or textbooks with practice problems on generative AI.
- Attempt to solve the problems on your own.
- Review your solutions and identify areas where you need improvement.
Explore tutorials on practical generative AI applications
Show steps
Tutorials can provide hands-on experience and deepen your understanding of how generative AI is used in the real world.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Search for tutorials or online courses that cover practical applications of generative AI.
- Choose a tutorial that aligns with your interests or career goals.
- Follow the tutorial steps and complete the exercises.
Write a Blog Post About AI in Communication
Show steps
Demonstrate your understanding of generative AI's applications in communication by creating a blog post that explores its benefits and challenges.
Browse courses on
Generative AI Applications
Show steps
Show steps
Show steps
- Research the benefits and potential challenges of using generative AI in communication.
- Choose a specific aspect of AI in communication to focus on, such as its use in social media, email marketing, or customer service.
- Write a draft of your blog post, including an introduction, body, and conclusion.
- Edit and refine your post for clarity, conciseness, and impact.
- Publish your post on a platform of your choice, such as a personal blog or Medium.
Create a Generative AI Glossary
Show steps
Deepen your understanding of generative AI terminology
Show steps
Show steps
Show steps
- Compile a list of key terms and concepts from the course
- Define each term clearly and concisely
- Provide examples and illustrations to enhance comprehension
Design Generative AI Project
Show steps
Solidify your knowledge and understanding of generative AI by working on a project that utilizes the technology.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Identify a problem or opportunity that generative AI can address.
- Determine the type of generative AI model that will be most appropriate for your project.
- Gather and prepare the data that will be used to train the generative AI model.
- Train the generative AI model.
- Evaluate the performance of the generative AI model.
Develop an AI-Powered Communication Tool
Show steps
Apply your understanding of generative AI to create a practical communication tool, such as a chatbot, language translator, or content generator.
Browse courses on
Generative AI Applications
Show steps
Show steps
Show steps
- Identify a specific communication problem or need that you want to address.
- Design and develop an AI-powered tool that solves this problem.
- Test your tool with real users and gather feedback.
- Refine and improve your tool based on the feedback.
- Present your tool to your peers or the public.
Create a project that uses generative AI
Show steps
Building a project will give you practical experience and help you develop a deeper understanding of generative AI's capabilities.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Brainstorm ideas for a project that leverages generative AI.
- Choose a project that aligns with your interests and skills.
- Gather any necessary resources or data.
- Implement your project using generative AI techniques.
- Test and evaluate your project's performance.
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.
Save
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.
Save
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.
Save
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.
Save
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.
Save
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.
Save
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.
Save
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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