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Candace Savonen, MS
There are a ever increasing number of options, strategies and solutions for integrating AI solutions into a project. It can feel overwhelming to understand what these options entail let alone understand how to decide what solution best fits a use case.
In this course we aim to give individuals the basic info they need to make basic plans for integrating AI tools into their project.
Read more
There are a ever increasing number of options, strategies and solutions for integrating AI solutions into a project. It can feel overwhelming to understand what these options entail let alone understand how to decide what solution best fits a use case.
In this course we aim to give individuals the basic info they need to make basic plans for integrating AI tools into their project.
Read more
There are a ever increasing number of options, strategies and solutions for integrating AI solutions into a project. It can feel overwhelming to understand what these options entail let alone understand how to decide what solution best fits a use case.
In this course we aim to give individuals the basic info they need to make basic plans for integrating AI tools into their project.
The course is intended for individuals who have an AI related project in mind or think that they might need to incorporate AI into their project. They are likely the leader who is guiding others in an AI related project and not necessarily the person who will write code or carry out the technical aspects of the project.
Register for this course and see more details by visiting:
OpenCourser.com/course/ybdoq4/determining
What's inside
Syllabus
Determining AI Needs
This course is designed to equip participants with resource and project considerations when undertaking any AI project. Participants will gain an understanding of the decision-making process between adopting pre-built AI products and constructing custom models, taking into account project complexity and customization requirements.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Designed for non-technical individuals contemplating AI integration into a project
Provides a foundation for understanding AI solutions and their implementation
Covers key considerations for project planning, including resource allocation and customization requirements
Offers a practical approach to evaluating pre-built AI products and custom models
Save this course
Save Determining AI Needs to your list so you can find it easily later:
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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 Determining AI Needs with these
activities:
Review Probability and Statistics
Show steps
Start the course by studying probability and statistics, two pre-requisite areas for AI concepts.
Browse courses on
Probability
Show steps
-
Review concepts of probability, such as conditional probabilities, Bayes' theorem, and random variables.
-
Refresh your understanding of statistical methods, including descriptive statistics, hypothesis testing, and regression analysis.
Read 'Artificial Intelligence: A Modern Approach'
Show steps
Supplement your learning with a comprehensive textbook on AI.
View
Artificial Intelligence: A Modern Approach,...
on Amazon
Show steps
-
Read through the chapters of the book, taking notes and highlighting important concepts.
-
Complete the exercises and problems at the end of each chapter to test your understanding.
Explore AI Tools and Resources
Show steps
Set aside some time to check out the many available AI tools and resources.
Browse courses on
AI Tools
Show steps
-
Seek out and follow tutorials on popular AI tools, such as TensorFlow, PyTorch, or Scikit-learn.
-
Explore websites and documentation to learn about different AI resources, such as datasets, libraries, and frameworks.
Three other activities
Expand to see all activities and additional details
Show all six activities
Practice AI Coding Exercises
Show steps
Work on building your AI coding skills through practice.
Browse courses on
AI Coding
Show steps
-
Find AI coding exercises online or in books and work through them.
-
Participate in AI coding challenges or competitions to test your skills.
Develop an AI Project Proposal
Show steps
Put your knowledge into practice by creating a project proposal for an AI project that you would like to pursue.
Show steps
-
Define the problem that you want to solve with AI.
-
Research and select the appropriate AI tools and techniques for your project.
-
Outline a plan for implementing and evaluating your AI solution.
Contribute to Open Source AI Projects
Show steps
Make meaningful contributions to the AI community by participating in open source projects.
Show steps
-
Identify open source AI projects that align with your interests and skills.
-
Find a task or issue that you can work on and contribute to the project.
-
Submit your contributions to the project and participate in discussions.
Review Probability and Statistics
Show steps
Start the course by studying probability and statistics, two pre-requisite areas for AI concepts.
Browse courses on
Probability
Show steps
Show steps
Show steps
- Review concepts of probability, such as conditional probabilities, Bayes' theorem, and random variables.
- Refresh your understanding of statistical methods, including descriptive statistics, hypothesis testing, and regression analysis.
Read 'Artificial Intelligence: A Modern Approach'
Show steps
Supplement your learning with a comprehensive textbook on AI.
View
Artificial Intelligence: A Modern Approach,...
on Amazon
Show steps
Show steps
Show steps
- Read through the chapters of the book, taking notes and highlighting important concepts.
- Complete the exercises and problems at the end of each chapter to test your understanding.
Explore AI Tools and Resources
Show steps
Set aside some time to check out the many available AI tools and resources.
Browse courses on
AI Tools
Show steps
Show steps
Show steps
- Seek out and follow tutorials on popular AI tools, such as TensorFlow, PyTorch, or Scikit-learn.
- Explore websites and documentation to learn about different AI resources, such as datasets, libraries, and frameworks.
Three other activities
Expand to see all activities and additional details
Show all six activities
Practice AI Coding Exercises
Show steps
Work on building your AI coding skills through practice.
Browse courses on
AI Coding
Show steps
Show steps
Show steps
- Find AI coding exercises online or in books and work through them.
- Participate in AI coding challenges or competitions to test your skills.
Develop an AI Project Proposal
Show steps
Put your knowledge into practice by creating a project proposal for an AI project that you would like to pursue.
Show steps
Show steps
Show steps
- Define the problem that you want to solve with AI.
- Research and select the appropriate AI tools and techniques for your project.
- Outline a plan for implementing and evaluating your AI solution.
Contribute to Open Source AI Projects
Show steps
Make meaningful contributions to the AI community by participating in open source projects.
Show steps
Show steps
Show steps
- Identify open source AI projects that align with your interests and skills.
- Find a task or issue that you can work on and contribute to the project.
- Submit your contributions to the project and participate in discussions.
Career center
Learners who complete Determining AI Needs will develop knowledge and skills
that may be useful to these careers:
AI Engineer
AI Engineer
AI Engineers are responsible for designing, developing, testing, deploying, and maintaining AI solutions. This course is part of a strong foundation you will need to build to prepare for a career as an AI Engineer. This course can be very helpful for someone who thinks AI Engineering may be an interesting career move, but does not have a technical background and wants to learn more about this field.
AI Researcher
AI Researcher
AI Researchers conduct research in artificial intelligence algorithms and theory. This course is part of a strong foundation you will need to build to prepare for a career as an AI Researcher. This course can be very helpful for someone who thinks AI Research may be an interesting career move, but does not have a technical background and wants to learn more about this field.
Data Scientist
Data Scientist
Data Scientists are responsible for collecting, analyzing, and interpreting data to help companies make informed decisions. This course is part of a strong foundation you will need to build to prepare for a career as a Data Scientist. This course can be very helpful for someone who thinks Data Science may be an interesting career move, but does not have a technical background and wants to learn more about this field.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers are responsible for developing, deploying, and maintaining machine learning models. This course is part of a strong foundation you will need to build to prepare for a career as a Machine Learning Engineer. This course can be very helpful for someone who thinks Machine Learning Engineering may be an interesting career move, but does not have a technical background and wants to learn more about this field.
Product Manager
Product Manager
Product Managers are responsible for managing the development and launch of new products. While not all Product Managers work with AI, AI is becoming an increasingly common part of product development, and many Product Managers are looking to learn more about it. This course is part of a strong foundation you will need to build to prepare for a career as a Product Manager. This course can be very helpful for someone who thinks Product Management may be an interesting career move, but does not have a technical background and wants to learn more about this field.
Software Engineer
Software Engineer
Software Engineers design, develop, test, deploy, and maintain software systems. While not all Software Engineers work with AI, AI is becoming an increasingly common part of software development, and many Software Engineers are looking to learn more about it. This course is part of a strong foundation you will need to build to prepare for a career as a Software Engineer. This course can be very helpful for someone who thinks Software Engineering may be an interesting career move, but does not have a technical background and wants to learn more about this field.
Project Manager
Project Manager
Project Managers are responsible for planning, executing, and closing projects. While not all Project Managers work with AI, AI is becoming an increasingly common part of project management, and many Project Managers are looking to learn more about it. This course is part of a strong foundation you will need to build to prepare for a career as a Project Manager. This course can be very helpful for someone who thinks Project Management may be an interesting career move, but does not have a technical background and wants to learn more about this field.
Data Engineer
Data Engineer
Data Engineers are responsible for designing, building, and maintaining data pipelines. While not all Data Engineers work with AI, AI is becoming an increasingly common part of data engineering, and many Data Engineers are looking to learn more about it. This course is part of a strong foundation you will need to build to prepare for a career as a Data Engineer. This course can be very helpful for someone who thinks Data Engineering may be an interesting career move, but does not have a technical background and wants to learn more about this field.
CIO
CIO
Chief Information Officers (CIOs) are responsible for overseeing an organization's IT strategy and operations. While not all CIOs work with AI, AI is becoming an increasingly common part of IT strategy, and many CIOs are looking to learn more about it. This course is part of a strong foundation you will need to build to prepare for a career as a CIO. This course can be very helpful for someone who thinks becoming a CIO may be an interesting career move, but does not have a technical background and wants to learn more about this field.
IT Manager
IT Manager
IT Managers are responsible for planning, implementing, and managing an organization's IT systems. While not all IT Managers work with AI, AI is becoming an increasingly common part of IT management, and many IT Managers are looking to learn more about it. This course is part of a strong foundation you will need to build to prepare for a career as an IT Manager. This course can be very helpful for someone who thinks IT Management may be an interesting career move, but does not have a technical background and wants to learn more about this field.
Entrepreneur
Entrepreneur
Entrepreneurs start and run their own businesses. While not all Entrepreneurs work with AI, AI is becoming an increasingly common part of business, and many Entrepreneurs are looking to learn more about it. This course is part of a strong foundation you will need to build to prepare for a career as an Entrepreneur. This course can be very helpful for someone who thinks starting their own business may be an interesting career move, but does not have a technical background and wants to learn more about this field.
Business Analyst
Business Analyst
Business Analysts help their companies to identify and solve issues in their business operations, and increasingly Business Analysts need to be able to integrate AI into their analyses. This course will give you a foundation in the basics of AI, and can also help you to decide whether you want to upskill more significantly or even make a full pivot into a career in AI.
Consultant
Consultant
Consultants provide advice and guidance to businesses on a variety of topics, including AI. While not all Consultants work with AI, AI is becoming an increasingly common topic for consulting, and many Consultants are looking to learn more about it. This course is part of a strong foundation you will need to build to prepare for a career as a Consultant. This course can be very helpful for someone who thinks Consulting may be an interesting career move, but does not have a technical background and wants to learn more about this field.
Data Analyst
Data Analyst
Data Analysts help companies to gather, interpret, and make sense of data, which companies today rely on more than ever for their day-to-day operations. Artificial Intelligence plays a central role in the process of data analysis, and companies across the business spectrum are increasingly looking to Data Analysts with skills in AI. This course will give you a foundation in the basics of AI, and can also help you to decide whether you want to upskill more significantly or even make a full pivot into a career in AI.
Technical Writer
Technical Writer
Technical Writers create documentation for technical products and services. While not all Technical Writers work with AI, AI is becoming an increasingly common topic for technical writing, and many Technical Writers are looking to learn more about it. This course may be useful for someone who thinks Technical Writing may be an interesting career move, but does not have a technical background and wants to learn more about this field.
For more career information including salaries, visit:
OpenCourser.com/course/ybdoq4/determining
Reading list
We've selected 12 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
Determining AI Needs.
Save
A comprehensive textbook on deep learning, providing in-depth knowledge for those interested in the technical aspects of AI.
A classic textbook on statistical learning, providing a strong foundation for understanding the mathematical underpinnings of AI.
Provides a comprehensive introduction to reinforcement learning, a key area of AI.
Covers the fundamentals of natural language processing, a key area of AI for working with text data.
Save
Provides a comprehensive overview of computer vision, a key area of AI for working with visual data.
Covers the fundamentals of speech and language processing, a key area of AI for working with spoken and written language.
Explores the ethical considerations and challenges involved in developing and deploying AI systems.
Practical guide to implementing machine learning models using popular libraries.
A practical guide to applying machine learning techniques for those with programming experience.
Provides a business-oriented perspective on data science and machine learning.
Provides real-world examples of how AI is being used in various industries.
A great introduction for those new to artificial intelligence and machine learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ybdoq4/determining
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Level
Intermediate
Via
Coursera
Institution
Fred Hutchinson Cancer Center
Instructor
Candace Savonen, MS
Language
English
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Good to know
Designed for non-technical individuals contemplating AI integration into a project
Provides a foundation for understanding AI solutions and their implementation
Covers key considerations for project planning, including resource allocation and customization requirements
Offers a practical approach to evaluating pre-built AI products and custom models
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