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Exploring AI Possibilities
Ava Hoffman, PhD
Ava Hoffman, PhD
This course on Exploring AI Possibilities for Decision Makers explores the growing use of AI across disciplines and its potential benefits and challenges. The course covers necessary context, such as discussing what AI is, how it works, and key definitions in AI. Through exploring the many AI possibilities at your fingertips, you will build leadership skills for helping your business or community work more efficiently, creatively, and ethically.
Read more
This course on Exploring AI Possibilities for Decision Makers explores the growing use of AI across disciplines and its potential benefits and challenges. The course covers necessary context, such as discussing what AI is, how it works, and key definitions in AI. Through exploring the many AI possibilities at your fingertips, you will build leadership skills for helping your business or community work more efficiently, creatively, and ethically.
Read more
This course on Exploring AI Possibilities for Decision Makers explores the growing use of AI across disciplines and its potential benefits and challenges. The course covers necessary context, such as discussing what AI is, how it works, and key definitions in AI. Through exploring the many AI possibilities at your fingertips, you will build leadership skills for helping your business or community work more efficiently, creatively, and ethically.
Unique Features of this Course
- Explanation of AI with minimal jargon
- Beginner friendly for those who want to get started learning how to leverage generative AI
- Focus on the application for busy workplace leaders
- Emphasis on responsible and ethical use of AI
- Useful ideas for how to leverage tools to make your work better and more efficient
- A fun and playful approach to learning
Key Words
Artificial Intelligence (AI), Generative AI, Large Language Models (LLMs), Data Science, Technology Leadership, Technology-driven Workplace
Intended Audience
- Professionals looking to understand AI at a strategic level
- Industry and non-profit leaders and decision makers
- Anyone curious about how AI can be harnessed for technology
Learning Objectives
- Define AI using our three part framework: the data, algorithm, and interface
- Identify common technologies and whether or not they are AI
- Explain the essential "behind the scenes" technology of how AI works
- Identify possibilities for using AI while understanding its limitations
Accessibility
We are committed to making our content accessible and available to all. We welcome any feedback you might have at https://forms.gle/3sTZpctxzYyhj74NA. Questions related to accessibility accommodations should be directed to https://studentserviceportal.force.com/s/.
Register for this course and see more details by visiting:
OpenCourser.com/course/jxhf3z/exploring
What's inside
Syllabus
Exploring AI Possibilities
This course on Exploring AI Possibilities for Decision Makers explores the growing use of AI across disciplines and its potential benefits and challenges.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Explores the growing use of AI across disciplines and its potential benefits and challenges
Provides a comprehensive overview of AI concepts, including definitions and how AI works
Focuses on the application of AI for workplace leaders, emphasizing efficient and creative use
Highlights the responsible and ethical use of AI, promoting ethical decision-making
Emphasizes hands-on learning through the use of tools to enhance productivity
Taught by Ava Hoffman, PhD, an experienced researcher and educator in the field of AI
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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 Exploring AI Possibilities with these
activities:
Review Advanced Mathematical Concepts
Show steps
Refresh your understanding of advanced mathematical concepts to strengthen your comprehension of AI algorithms and models.
Browse courses on
Linear Algebra
Show steps
-
Refer to textbooks or online resources to cover key concepts in linear algebra, calculus, statistics, and probability.
-
Practice solving problems related to these concepts to reinforce your understanding.
Review Data Analysis Techniques
Show steps
Refresh your data analysis skills to effectively handle AI models' data.
Browse courses on
Data Analysis
Show steps
-
Review basic data analysis techniques.
-
Practice using data analysis tools and techniques.
-
Complete a data analysis project.
Organize Course Materials
Show steps
Take control of your notes and materials to enhance comprehension.
Show steps
-
Gather lecture notes, assignments, and resources.
-
Create a system for organizing materials.
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Review Course Text
Show steps
Familiarize yourself with the terminology and key concepts AI technology.
View
Artificial Intelligence: A Modern Approach,...
on Amazon
Show steps
-
Begin reading the first chapter.
-
Make margin notes or annotations while reading.
-
Create a concept map to understand the interconnectedness of the key concepts.
AI Terminology Exercises
Show steps
Reinforce understanding of key AI terms and concepts.
Show steps
-
Identify different AI terminology and definitions.
-
Complete practice exercises to test your understanding.
-
Review your results and identify areas for improvement.
Explore Beginner-Friendly AI Projects
Show steps
Engage in guided tutorials to gain hands-on experience with AI applications, building your confidence and understanding.
Show steps
-
Identify a beginner-friendly AI project that aligns with your interests.
-
Follow step-by-step tutorials to build and execute the project.
-
Document your learnings and challenges encountered during the project.
Participate in AI Discussion Forums
Show steps
Join online discussion forums to engage with peers, exchange ideas, and deepen your understanding of AI concepts.
Show steps
-
Identify relevant AI discussion forums or groups.
-
Participate actively in discussions, asking thoughtful questions and sharing your perspectives.
-
Provide constructive feedback to other participants, fostering a collaborative learning environment.
Understanding Generative AI
Show steps
Increase your understanding of generative AI and its numerous applications.
Browse courses on
Generative AI
Show steps
-
Locate online tutorials on generative AI.
-
Follow the tutorials and work through the exercises.
-
Experiment with different generative AI models.
-
Share your findings with classmates or colleagues.
Develop an AI Case Study
Show steps
Apply what you have learned about AI to a practical business scenario.
Browse courses on
AI Ethics
Show steps
-
Choose an industry or business problem.
-
Research how AI can be used to address the problem.
-
Develop a detailed case study outlining your findings.
-
Present your case study to your peers.
AI Hackathon
Show steps
Put your AI skills to the test and learn from others in a collaborative environment.
Show steps
-
Find an AI hackathon to participate in.
-
Form a team or work independently.
-
Develop an AI project and present it to a panel of judges.
Develop an AI Glossary
Show steps
Create a comprehensive AI glossary that defines and explains key terms to enhance your understanding and communication skills.
Browse courses on
Terminology
Show steps
-
Compile a list of essential AI terms and concepts.
-
Research and define each term accurately, providing clear explanations.
-
Organize the glossary alphabetically or by categories.
Review Advanced Mathematical Concepts
Show steps
Refresh your understanding of advanced mathematical concepts to strengthen your comprehension of AI algorithms and models.
Browse courses on
Linear Algebra
Show steps
Show steps
Show steps
- Refer to textbooks or online resources to cover key concepts in linear algebra, calculus, statistics, and probability.
- Practice solving problems related to these concepts to reinforce your understanding.
Review Data Analysis Techniques
Show steps
Refresh your data analysis skills to effectively handle AI models' data.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Review basic data analysis techniques.
- Practice using data analysis tools and techniques.
- Complete a data analysis project.
Organize Course Materials
Show steps
Take control of your notes and materials to enhance comprehension.
Show steps
Show steps
Show steps
- Gather lecture notes, assignments, and resources.
- Create a system for organizing materials.
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Review Course Text
Show steps
Familiarize yourself with the terminology and key concepts AI technology.
View
Artificial Intelligence: A Modern Approach,...
on Amazon
Show steps
Show steps
Show steps
- Begin reading the first chapter.
- Make margin notes or annotations while reading.
- Create a concept map to understand the interconnectedness of the key concepts.
AI Terminology Exercises
Show steps
Reinforce understanding of key AI terms and concepts.
Show steps
Show steps
Show steps
- Identify different AI terminology and definitions.
- Complete practice exercises to test your understanding.
- Review your results and identify areas for improvement.
Explore Beginner-Friendly AI Projects
Show steps
Engage in guided tutorials to gain hands-on experience with AI applications, building your confidence and understanding.
Show steps
Show steps
Show steps
- Identify a beginner-friendly AI project that aligns with your interests.
- Follow step-by-step tutorials to build and execute the project.
- Document your learnings and challenges encountered during the project.
Participate in AI Discussion Forums
Show steps
Join online discussion forums to engage with peers, exchange ideas, and deepen your understanding of AI concepts.
Show steps
Show steps
Show steps
- Identify relevant AI discussion forums or groups.
- Participate actively in discussions, asking thoughtful questions and sharing your perspectives.
- Provide constructive feedback to other participants, fostering a collaborative learning environment.
Understanding Generative AI
Show steps
Increase your understanding of generative AI and its numerous applications.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Locate online tutorials on generative AI.
- Follow the tutorials and work through the exercises.
- Experiment with different generative AI models.
- Share your findings with classmates or colleagues.
Develop an AI Case Study
Show steps
Apply what you have learned about AI to a practical business scenario.
Browse courses on
AI Ethics
Show steps
Show steps
Show steps
- Choose an industry or business problem.
- Research how AI can be used to address the problem.
- Develop a detailed case study outlining your findings.
- Present your case study to your peers.
AI Hackathon
Show steps
Put your AI skills to the test and learn from others in a collaborative environment.
Show steps
Show steps
Show steps
- Find an AI hackathon to participate in.
- Form a team or work independently.
- Develop an AI project and present it to a panel of judges.
Develop an AI Glossary
Show steps
Create a comprehensive AI glossary that defines and explains key terms to enhance your understanding and communication skills.
Browse courses on
Terminology
Show steps
Show steps
Show steps
- Compile a list of essential AI terms and concepts.
- Research and define each term accurately, providing clear explanations.
- Organize the glossary alphabetically or by categories.
Career center
Learners who complete Exploring AI Possibilities will develop knowledge and skills
that may be useful to these careers:
Artificial Intelligence Engineer
Artificial Intelligence Engineer
Artificial Intelligence Engineers research, design, and develop AI systems. They work on a wide range of projects, from self-driving cars to medical diagnosis tools. This course will provide you with a comprehensive overview of AI, including its history, key concepts, and potential applications. You will also learn about the ethical and societal implications of AI.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, build, and maintain machine learning models. They use their knowledge of AI algorithms and data science techniques to develop models that can learn from data and make predictions. This course will give you a strong foundation in the fundamentals of AI, including its underlying technologies, key definitions, and ethical considerations. You will also learn how to identify opportunities for using AI in real-world applications.
Business Analyst
Business Analyst
Business Analysts help organizations improve their performance by analyzing data and identifying opportunities for improvement. They use their knowledge of business processes and AI techniques to develop solutions that can help organizations make better decisions. This course will give you a solid understanding of the potential benefits and challenges of AI, as well as the skills you need to identify and implement AI solutions in a business setting.
Consultant
Consultant
Consultants provide advice and guidance to organizations on a wide range of topics. They use their knowledge of business processes and AI techniques to help organizations improve their performance. This course will give you a solid understanding of the potential benefits and challenges of AI, as well as the skills you need to identify and implement AI solutions in an organizational setting.
Entrepreneur
Entrepreneur
Entrepreneurs start and run their own businesses. They use their knowledge of business principles and AI tools to identify opportunities, develop products and services, and build successful businesses. This course will give you a strong understanding of the potential benefits and challenges of AI, as well as the skills you need to use AI tools and techniques to launch and grow your own business.
Marketer
Marketer
Marketers develop and execute marketing campaigns to promote products and services. They use their knowledge of marketing principles and AI tools to create campaigns that reach and engage target audiences. This course will give you a strong understanding of the potential benefits and challenges of AI, as well as the skills you need to use AI tools and techniques to improve your marketing efforts.
Data Scientist
Data Scientist
Data Scientists combine programming skills, analytical thinking, and knowledge of data analysis techniques to extract insights from data. As AI becomes increasingly data-driven, the skills you learn in this course - including defining AI, understanding its limitations, and identifying use cases - will be valuable. This course may also help you build a foundation for working with large language models (LLMs) and other generative AI tools, which are becoming increasingly important in the field of data science.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to help organizations make better decisions. They use their knowledge of data analysis techniques and AI algorithms to identify trends and patterns in data. This course will give you a strong foundation in the fundamentals of AI, as well as the skills you need to use AI tools and techniques to analyze data.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. They work with engineers, designers, and marketers to create products that meet the needs of users. This course will give you a strong understanding of the potential benefits and challenges of AI, as well as the skills you need to develop and launch AI-powered products.
Researcher
Researcher
Researchers conduct research to advance knowledge in a particular field. They use their knowledge of research methods and AI techniques to design and conduct studies that can lead to new insights and discoveries. This course will give you a strong foundation in the fundamentals of AI, as well as the skills you need to use AI tools and techniques to conduct research.
Salesperson
Salesperson
Salespeople sell products and services to customers. They use their knowledge of sales techniques and AI tools to identify and qualify leads, build relationships with customers, and close deals. This course will give you a strong understanding of the potential benefits and challenges of AI, as well as the skills you need to use AI tools and techniques to increase your sales.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. They use their knowledge of programming languages and software development tools to create software that meets the needs of users. This course will give you a strong foundation in the fundamentals of AI, including its underlying technologies and key definitions. You will also learn how to use AI techniques to develop more efficient and effective software.
Project Manager
Project Manager
Project Managers plan and execute projects to achieve specific goals. They use their knowledge of project management techniques and AI tools to manage projects efficiently and effectively. This course will give you a strong foundation in the fundamentals of AI, as well as the skills you need to use AI tools and techniques to manage projects.
Technical Writer
Technical Writer
Technical Writers create documentation and other materials that explain complex technical concepts to non-technical audiences. They use their knowledge of technical subjects and AI tools to create clear and concise documentation that is easy to understand. This course will give you a strong foundation in the fundamentals of AI, as well as the skills you need to use AI tools and techniques to create technical documentation.
Teacher
Teacher
Teachers educate students in a variety of subjects. They use their knowledge of educational methods and AI tools to create lesson plans and deliver instruction that is engaging and effective. This course will give you a strong foundation in the fundamentals of AI, as well as the skills you need to use AI tools and techniques to enhance your teaching.
For more career information including salaries, visit:
OpenCourser.com/course/jxhf3z/exploring
Reading list
We've selected ten 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
Exploring AI Possibilities.
Save
Comprehensive guide to deep learning. It covers the theoretical foundations, algorithms, and applications of deep learning. It valuable resource for learners who want to specialize in deep learning.
Save
Provides a practical guide to using AI in business. It covers the benefits, challenges, and best practices of AI adoption. It valuable resource for learners who want to leverage AI for business success.
Provides a concise introduction to AI. It covers the key concepts, algorithms, and applications of AI. It valuable resource for learners who want to quickly get up to speed on AI.
Provides a futuristic perspective on AI. It discusses the potential of AI to transform society, and the potential risks and challenges of AI development. It valuable resource for learners who want to think about the long-term implications of AI.
Provides a comprehensive overview of AI ethics. It covers the ethical issues raised by AI development and deployment, and the potential solutions to these issues. It valuable resource for learners who want to understand the ethical implications of AI.
Provides a probabilistic approach to machine learning. It covers the fundamental concepts, algorithms, and applications of machine learning from a probabilistic perspective. It valuable resource for learners who want to gain a deeper understanding of machine learning.
Provides a comprehensive introduction to deep reinforcement learning. It covers the fundamental concepts, algorithms, and applications of deep reinforcement learning. It valuable resource for learners who want to specialize in deep reinforcement learning.
Provides a comprehensive introduction to reinforcement learning. It covers the fundamental concepts, algorithms, and applications of reinforcement learning. It valuable resource for learners who want to gain a deeper understanding of reinforcement learning.
Save
Provides a comprehensive overview of computer vision. It covers the fundamental concepts, algorithms, and applications of computer vision. It valuable resource for learners who want to gain a deeper understanding of computer vision.
Provides a comprehensive introduction to natural language processing. It covers the fundamental concepts, algorithms, and applications of natural language processing. It valuable resource for learners who want to gain a deeper understanding of natural language processing.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/jxhf3z/exploring
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Effort
1-2 hours
Level
Introductory
Via
Coursera
Institution
Fred Hutchinson Cancer Center
Instructor
Ava Hoffman, PhD
Language
English
Transcripts
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Good to know
Explores the growing use of AI across disciplines and its potential benefits and challenges
Provides a comprehensive overview of AI concepts, including definitions and how AI works
Focuses on the application of AI for workplace leaders, emphasizing efficient and creative use
Highlights the responsible and ethical use of AI, promoting ethical decision-making
Emphasizes hands-on learning through the use of tools to enhance productivity
Taught by Ava Hoffman, PhD, an experienced researcher and educator in the field of AI
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