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Reid Patterson
Technology and computers are becoming more and more capable every day. Moving forward, computers will become increasingly good at solving problems. That means humans will become the problem finders and definers , translating the world into terms a computer can understand. This course is designed to teach you how to "speak" to computers, preparing you for a future in which computers are increasingly powerful and prevalent.
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What's inside
Learning objectives
- Generating solutions to real world problems by looking at the un sustainable development goals
- Intro & welcome
- Instructor introduction
- Overview of course
- Content
- Structure and navigation
- Module 1: minds and machines
- Core idea: empathy, understanding differences between humans and computers
- Imagining how the world “looks” to a computer
- Allows for richer understanding of potential engineering problems
- Developing respect and understanding for diverse perspectives on problems
- How our assumptions can affect generated solutions
- Module 2: algorithms
- Core idea: understanding and developing algorithms
- Defining what is an algorithm
- Developing computational thinking skills
- Practice understanding and developing your own algorithms
- Module 3: ai & machine learning
- Core idea: data can be used to train and change the behaviour of an algorithm
- Practicing training an algorithm by providing labeled data
- Understanding how data can be created from the real world
- Unpacking the process of how an algorithm is trained
- Module 4: creative ai
- Core idea: ai can be used to enhance human creative abilities ****
- Creating a story by using ai assisted tools to generate text, image and sound.
- Learning about the future potential of ai
- Module 5: ai and society
- Core idea: discussing the positive and negative impacts ai is having on society
- Discuss potential pitfalls
- Helps you become a better engineer
- Protecting yourself and others from harmful effects
- Emphasizing the influence humans have on the development of new technolog
- Topics include: social media, bias, automation
- Module 6: designing an app
- Core idea: using what has been learned in the course to brainstorm and pitch an app idea. optionally turn into a working prototype. ****
- Learning the engineering design cycle and how to apply it
- Generating solutions to real world problems by looking at the un sustainable development goals
- Intro & welcome
- Instructor introduction
- Overview of course
- Content
- Structure and navigation
- Module 1: minds and machines
- Core idea: empathy, understanding differences between humans and computers
- Imagining how the world “looks” to a computer
- Allows for richer understanding of potential engineering problems
- Developing respect and understanding for diverse perspectives on problems
- How our assumptions can affect generated solutions
- Module 2: algorithms
- Core idea: understanding and developing algorithms
- Defining what is an algorithm
- Developing computational thinking skills
- Practice understanding and developing your own algorithms
- Module 3: ai & machine learning
- Core idea: data can be used to train and change the behaviour of an algorithm
- Practicing training an algorithm by providing labeled data
- Understanding how data can be created from the real world
- Unpacking the process of how an algorithm is trained
- Module 4: creative ai
- Core idea: ai can be used to enhance human creative abilities ****
- Creating a story by using ai assisted tools to generate text, image and sound.
- Learning about the future potential of ai
- Module 5: ai and society
- Core idea: discussing the positive and negative impacts ai is having on society
- Discuss potential pitfalls
- Helps you become a better engineer
- Protecting yourself and others from harmful effects
- Emphasizing the influence humans have on the development of new technolog
- Topics include: social media, bias, automation
- Module 6: designing an app
- Core idea: using what has been learned in the course to brainstorm and pitch an app idea. optionally turn into a working prototype. ****
- Learning the engineering design cycle and how to apply it
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Introduces computer science concepts in a way that is accessible and engaging for beginners
Provides a strong foundation for those interested in pursuing further education in computer science
Emphasizes the importance of empathy in understanding the needs of users and designing effective solutions
Highlights the ethical implications of AI and encourages students to consider the societal impact of their work
Provides opportunities for students to apply their learning through hands-on projects and real-world case studies
Taught by experienced instructors with a passion for teaching and a deep understanding of the subject matter
Save this course
Save AI for Teachers to your list so you can find it easily later:
Save
Save
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 Teachers with these
activities:
Watch Video Tutorials on AI and Machine Learning
Show steps
Gain a deeper understanding of AI and its applications.
Browse courses on
AI
Show steps
-
Find a reputable source for tutorials.
-
Choose a tutorial that matches your interests and learning goals.
-
Watch the tutorial and take notes.
Review Textbook: Artificial Intelligence: A Modern Approach
Show steps
Familiarize yourself with fundamental concepts of AI.
Show steps
-
Read the assigned chapters.
-
Take notes.
-
Complete the problem sets at the end of each chapter.
Participate in Online Discussion Forums
Show steps
Engage with peers and experts to gain diverse perspectives and clarify concepts.
Browse courses on
AI
Show steps
-
Find a reputable online forum related to AI or machine learning.
-
Introduce yourself and ask questions.
-
Respond to questions from others.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice Coding Exercises on LeetCode
Show steps
Sharpen your algorithmic skills and programming proficiency.
Browse courses on
Coding
Show steps
-
Choose a problem to solve.
-
Analyze the problem.
-
Design and implement your solution.
-
Test your solution.
Create an AI-Generated Story or Artwork
Show steps
Explore the creative potential of AI by generating your own unique content.
Browse courses on
AI
Show steps
-
Choose an AI tool for generating content.
-
Provide prompts and inputs to the AI.
-
Generate content and refine it to your liking.
Participate in AI Hackathons
Show steps
Challenge yourself, collaborate with others, and apply your AI skills in a competitive environment.
Browse courses on
AI
Show steps
-
Find an AI hackathon that aligns with your interests.
-
Form a team or participate individually.
-
Develop an innovative AI solution.
-
Present your solution and compete for prizes.
Volunteer for an AI-Related Organization
Show steps
Gain practical experience and contribute to the AI community.
Browse courses on
AI
Show steps
-
Research AI-related organizations that offer volunteering opportunities.
-
Contact the organization and express your interest.
-
Participate in volunteering activities that align with your skills and interests.
Watch Video Tutorials on AI and Machine Learning
Show steps
Gain a deeper understanding of AI and its applications.
Browse courses on
AI
Show steps
Show steps
Show steps
- Find a reputable source for tutorials.
- Choose a tutorial that matches your interests and learning goals.
- Watch the tutorial and take notes.
Review Textbook: Artificial Intelligence: A Modern Approach
Show steps
Familiarize yourself with fundamental concepts of AI.
Show steps
Show steps
Show steps
- Read the assigned chapters.
- Take notes.
- Complete the problem sets at the end of each chapter.
Participate in Online Discussion Forums
Show steps
Engage with peers and experts to gain diverse perspectives and clarify concepts.
Browse courses on
AI
Show steps
Show steps
Show steps
- Find a reputable online forum related to AI or machine learning.
- Introduce yourself and ask questions.
- Respond to questions from others.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice Coding Exercises on LeetCode
Show steps
Sharpen your algorithmic skills and programming proficiency.
Browse courses on
Coding
Show steps
Show steps
Show steps
- Choose a problem to solve.
- Analyze the problem.
- Design and implement your solution.
- Test your solution.
Create an AI-Generated Story or Artwork
Show steps
Explore the creative potential of AI by generating your own unique content.
Browse courses on
AI
Show steps
Show steps
Show steps
- Choose an AI tool for generating content.
- Provide prompts and inputs to the AI.
- Generate content and refine it to your liking.
Participate in AI Hackathons
Show steps
Challenge yourself, collaborate with others, and apply your AI skills in a competitive environment.
Browse courses on
AI
Show steps
Show steps
Show steps
- Find an AI hackathon that aligns with your interests.
- Form a team or participate individually.
- Develop an innovative AI solution.
- Present your solution and compete for prizes.
Volunteer for an AI-Related Organization
Show steps
Gain practical experience and contribute to the AI community.
Browse courses on
AI
Show steps
Show steps
Show steps
- Research AI-related organizations that offer volunteering opportunities.
- Contact the organization and express your interest.
- Participate in volunteering activities that align with your skills and interests.
Career center
Learners who complete AI for Teachers will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build and maintain machine learning models for various applications. This course's focus on AI, machine learning, and algorithms would provide a strong foundation for a Machine Learning Engineer. Additionally, the course's emphasis on understanding how humans and computers think differently could be valuable in this role.
AI Engineer
AI Engineer
AI Engineers design, develop, and implement AI systems. This course's comprehensive coverage of AI, machine learning, and algorithms would be highly relevant to this role. The course's focus on understanding how humans and computers think differently could also be beneficial for AI Engineers.
Computer Scientist
Computer Scientist
Computer Scientists research and develop new computer technologies. This course's coverage of AI, machine learning, and algorithms would be highly relevant to this role, as these are all active areas of research in Computer Science. Additionally, the course's emphasis on understanding how humans and computers think differently could be valuable for Computer Scientists.
Data Scientist
Data Scientist
Data Scientists analyze data to extract meaningful insights and help businesses make better decisions. This course's coverage of algorithms, AI, and machine learning would be highly relevant to this role, as these skills are essential for working with and analyzing large datasets.
Quality Assurance Tester
Quality Assurance Tester
Quality Assurance Testers test software and other products to ensure that they meet quality standards. This course's focus on problem-solving and the development of algorithms could be useful in this role, as Quality Assurance Testers need to be able to identify and solve problems in order to ensure that products are of high quality.
Data Analyst
Data Analyst
Data Analysts analyze data to extract meaningful insights and help businesses make better decisions. This course's coverage of algorithms, AI, and machine learning could be valuable in this role, as these skills are essential for working with and analyzing large datasets.
Technical Writer
Technical Writer
Technical Writers create and maintain documentation for software, hardware, and other technical products. This course's focus on problem-solving and the development of algorithms could be useful in this role, as Technical Writers need to be able to understand and explain complex technical concepts.
Information Architect
Information Architect
Information Architects design and organize websites, apps, and other digital products to make them easy to find and use. This course's focus on understanding how humans and computers think differently could be valuable in this role. Additionally, the course's coverage of AI and machine learning may be useful for understanding how users interact with technology.
Business Analyst
Business Analyst
Business Analysts analyze business processes and identify opportunities for improvement. This course's focus on problem-solving and the development of algorithms could be useful in this role, as Business Analysts need to be able to identify and solve problems in order to improve business processes.
Project Manager
Project Manager
Project Managers plan and execute projects to achieve specific goals. This course's focus on problem-solving and the development of algorithms could be useful in this role, as Project Managers need to be able to identify and solve problems in order to keep projects on track.
Software Engineer
Software Engineer
Software Engineers design, develop, test, and maintain computer systems and applications. This course's focus on using technology to solve problems and the development of algorithms could be valuable in this role. The understanding of artificial intelligence and machine learning covered in this course may also be useful for a Software Engineer.
Robotics Engineer
Robotics Engineer
Robotics Engineers design, build, and maintain robots. This course's coverage of AI, machine learning, and algorithms could be useful in this role, as these skills are becoming increasingly important in robotics. Additionally, the course's emphasis on understanding how humans and computers think differently could be valuable for Robotics Engineers.
Instructional Designer
Instructional Designer
Instructional Designers develop and deliver learning experiences. This course's focus on understanding how humans and computers think differently could be valuable in this role. Additionally, the course's coverage of AI and machine learning could be useful for understanding how learners interact with technology.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. This course's focus on problem-solving and the development of algorithms could be useful in this role, as Product Managers need to be able to identify and solve problems in order to bring new products to market. Additionally, the course's emphasis on understanding how humans and computers think differently could be valuable for Product Managers.
User Experience Designer
User Experience Designer
User Experience Designers create and improve the user experience for websites, apps, and other digital products. This course's focus on understanding how humans and computers think differently could be valuable in this role. Additionally, the course's coverage of AI and machine learning could be useful for understanding how users interact with technology.
For more career information including salaries, visit:
OpenCourser.com/course/zlvowr/ai
Reading list
We've selected 11 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 Teachers.
Save
Comprehensive guide to deep learning, covering the theory, algorithms, and applications of DL. It's a great resource for those who want to learn more about the state-of-the-art in AI.
Comprehensive guide to statistical learning, covering a wide range of topics from linear regression to deep learning. It's a great resource for those who want to learn more about the mathematical foundations of AI.
Provides a comprehensive introduction to the mathematics that is used in machine learning, covering topics such as linear algebra, calculus, and probability. It's a great resource for those who want to learn more about the mathematical foundations of AI.
Provides a comprehensive introduction to artificial intelligence, covering the history, different types, and applications of AI. It's a great starting point for those who are new to the field.
Provides a comprehensive introduction to Python for data analysis, covering topics such as data cleaning, data manipulation, and data visualization. It's a great resource for those who want to learn more about the practical aspects of AI.
Save
Provides a comprehensive introduction to R for data science, covering topics such as data cleaning, data manipulation, and data visualization. It's a great resource for those who want to learn more about the practical aspects of AI.
Save
Discusses the potential risks and benefits of AI. It's a great resource for those who want to learn more about the ethical and philosophical implications of AI.
Save
Discusses the future of AI and its impact on humanity. It's a great resource for those who want to learn more about the long-term implications of AI.
Provides a biography of Elon Musk, the founder of Tesla and SpaceX. It's a great resource for those who want to learn more about the life and work of one of the most influential figures in AI.
Discusses the challenges that large companies face when they try to innovate. It's a great resource for those who want to learn more about the business and organizational aspects of AI.
Discusses the impact of AI on the economy and society. It's a great resource for those who want to learn more about the broader implications of AI.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/zlvowr/ai
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Effort
1 to 2 hours per week for 3 weeks
Level
Introductory
Via
edX
Institution
University of British Columbia
Instructor
Reid Patterson
Language
English
Transcript
English
Good to know
Introduces computer science concepts in a way that is accessible and engaging for beginners
Provides a strong foundation for those interested in pursuing further education in computer science
Emphasizes the importance of empathy in understanding the needs of users and designing effective solutions
Highlights the ethical implications of AI and encourages students to consider the societal impact of their work
Provides opportunities for students to apply their learning through hands-on projects and real-world case studies
Taught by experienced instructors with a passion for teaching and a deep understanding of the subject matter
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