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Robert J. Brunner
Explore the frontiers of technology, predict the future, and thrive in an ever-changing world. Our immersive course combines cutting-edge insights, expert guidance, and creative vision to help you become a disruptor, not a bystander. From emerging technology to AI to storytelling and speculative design, gain the knowledge and skills to shape tomorrow's opportunities. Embrace innovation, foresee challenges, and chart your path in the era of disruption. Join us now and unlock your potential to lead and innovate in a dynamic digital landscape.
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What's inside
Syllabus
Module 1: Emerging Technology, Disruption, and AI
Welcome to Module 1, where we embark on a comprehensive exploration of the dynamic realm of disruption within the context of emerging technologies. This module serves as a foundational introduction to pivotal concepts, tools, and strategies that are fundamental in grasping how emerging technologies can fundamentally reshape industries, businesses, and individual roles. Here, we lay the groundwork for a deeper comprehension of disruption, equipping you with invaluable insights to adeptly navigate the continually evolving landscape of technology-driven change.
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Syllabus
Module 1: Emerging Technology, Disruption, and AI
Welcome to Module 1, where we embark on a comprehensive exploration of the dynamic realm of disruption within the context of emerging technologies. This module serves as a foundational introduction to pivotal concepts, tools, and strategies that are fundamental in grasping how emerging technologies can fundamentally reshape industries, businesses, and individual roles. Here, we lay the groundwork for a deeper comprehension of disruption, equipping you with invaluable insights to adeptly navigate the continually evolving landscape of technology-driven change.
Read more
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Explores cutting-edge technology, futurism, and AI, which is standard in many industries
Teaches advanced skills for shaping tomorrow's opportunities
Develops understanding of emerging technologies and AI
Taught by Robert J. Brunner, who is recognized for their work in the field
Examines AI and storytelling, which are highly relevant to marketing and business
Covers unique perspectives on technology and innovation
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Reviews summary
Strategic tech & ai foresight
According to learners, this course offers incredibly relevant insights and a strong framework for strategic thinking regarding emerging technologies and AI. Students particularly value Module 2 on Futurism and Scenario Planning, finding its tools applicable to real-world business challenges. While providing a high-level understanding for leaders and non-technical professionals, many reviewers caution that the AI module can be too basic and the course lacks technical depth or hands-on application, making it less suitable for technical individuals seeking deep dives.
Emphasizes critical soft skills for adapting to change.
"I appreciated the focus on mindset in Module 3, which is often overlooked in this kind of course."
"I particularly liked how the course emphasized the importance of a curious and open mindset."
"I found the emphasis on cultivating the right mindset and curiosity particularly valuable for facing new challenges."
Instructors are highly knowledgeable and articulate.
"The instructor's insights were deep, and the examples were highly applicable to real-world business challenges."
"Excellent course for gaining a strategic perspective on emerging tech. The instructor is very knowledgeable and explains complex ideas clearly."
"I found the instructor very knowledgeable and clear in explaining complex concepts related to disruption."
Excellent for developing strategic thinking on future tech.
"This course exceeded my expectations! I particularly enjoyed Module 2 on Futurism and Scenario Planning; it gave me practical tools to think about future trends."
"As a small business owner, this course didn't just teach concepts; it gave me a framework for strategic thinking. I feel much more equipped to navigate the future."
"Highly recommend this course for anyone in a leadership role. The insights on anticipating disruption and fostering innovation are invaluable."
Covers many topics, sometimes at a rapid or broad pace.
"Solid content, but the pace can be a bit fast if you're new to some of these concepts."
"The course covers a lot of ground, perhaps too much. I found some modules disconnected from others."
"The content feels a bit broad, and I wish it focused on fewer topics but in more detail."
Course provides breadth but lacks in-depth technical detail.
"If you're already familiar with AI concepts, you might find it too basic and superficial given the complexity of the topics."
"I was hoping for more practical, hands-on examples... It felt a bit too theoretical at times. Don't expect deep dives into technical applications."
"Disappointing... I have some background in tech, and I found the AI module particularly lacking in depth. Not for technical people."
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 Emerging Technology, Disruption, and AI with these
activities:
Read "Artificial Intelligence: A Modern Approach"
Show steps
Reading this foundational book will provide you with a comprehensive understanding of the principles and applications of AI.
View
Artificial Intelligence: A Modern Approach,...
on Amazon
Show steps
-
Purchase or borrow the book from a library.
-
Set aside specific time each day for reading.
-
Take notes and highlight key concepts.
-
Complete the end-of-chapter exercises.
Seek guidance from experienced AI professionals
Show steps
Connecting with mentors will provide you with valuable insights, advice, and support in your AI journey.
Show steps
-
Identify potential mentors in your network or through online platforms like LinkedIn.
-
Reach out to mentors and express your interest in their mentorship.
-
Set up regular meetings to discuss your progress and seek guidance.
Organize and review your course notes and assignments
Show steps
Regularly organizing and reviewing your materials will enhance your understanding and retention of key concepts.
Show steps
-
Gather and organize your notes, assignments, and any other relevant materials.
-
Review your materials periodically to reinforce your understanding.
-
Identify any areas where you need further clarification and seek help from the instructor or peers.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Solve practice problems on AI algorithms
Show steps
Solving practice problems will help reinforce your understanding of AI algorithms and strengthen your technical skills.
Browse courses on
AI Algorithms
Show steps
-
Identify a reputable online platform or textbook with practice problems on AI algorithms.
-
Set aside regular time each week to work on practice problems.
-
Start with easier problems and gradually work your way up to more challenging ones.
-
Review your solutions and identify areas where you need further improvement.
Follow online tutorials on AI tools and applications
Show steps
Following tutorials will help you gain practical experience with specific AI tools and their applications.
Browse courses on
AI Tools
Show steps
-
Identify a specific area of AI that you are interested in, such as natural language processing or computer vision.
-
Find reputable online platforms or YouTube channels that offer tutorials on the chosen area.
-
Follow the tutorials step-by-step and complete the exercises.
-
Build small projects to apply your learnings.
Join a study group or online forum for AI
Show steps
Engaging with peers will provide you with opportunities to discuss concepts, share ideas, and receive support.
Show steps
-
Identify and join a study group or online forum dedicated to AI.
-
Participate in discussions, ask questions, and share your insights.
-
Collaborate with other members on projects or assignments.
Create a presentation on the impact of AI on a specific industry
Show steps
Creating a presentation will help you synthesize your knowledge of AI and its implications for a specific industry.
Browse courses on
AI Impact
Show steps
-
Choose an industry that you are interested in and research the impact of AI on that industry.
-
Gather data and examples to support your analysis.
-
Develop a clear and engaging presentation structure.
-
Practice your presentation and deliver it to an audience.
Participate in AI-related competitions or hackathons
Show steps
Participating in competitions or hackathons will challenge you to apply your AI skills in a competitive environment.
Show steps
-
Identify AI competitions or hackathons that align with your interests.
-
Form a team or work individually to develop innovative AI solutions.
-
Submit your entries and compete against other participants.
-
Reflect on the experience and identify areas for improvement.
Develop an AI-powered application
Show steps
Building an AI-powered application will allow you to apply your knowledge and skills to a real-world problem.
Browse courses on
AI Applications
Show steps
-
Identify a problem or opportunity that can be solved using AI.
-
Research and select appropriate AI algorithms and tools.
-
Design and develop the AI model.
-
Deploy and test the application.
-
Iterate and refine the application based on feedback and performance.
Read "Artificial Intelligence: A Modern Approach"
Show steps
Reading this foundational book will provide you with a comprehensive understanding of the principles and applications of AI.
View
Artificial Intelligence: A Modern Approach,...
on Amazon
Show steps
Show steps
Show steps
- Purchase or borrow the book from a library.
- Set aside specific time each day for reading.
- Take notes and highlight key concepts.
- Complete the end-of-chapter exercises.
Seek guidance from experienced AI professionals
Show steps
Connecting with mentors will provide you with valuable insights, advice, and support in your AI journey.
Show steps
Show steps
Show steps
- Identify potential mentors in your network or through online platforms like LinkedIn.
- Reach out to mentors and express your interest in their mentorship.
- Set up regular meetings to discuss your progress and seek guidance.
Organize and review your course notes and assignments
Show steps
Regularly organizing and reviewing your materials will enhance your understanding and retention of key concepts.
Show steps
Show steps
Show steps
- Gather and organize your notes, assignments, and any other relevant materials.
- Review your materials periodically to reinforce your understanding.
- Identify any areas where you need further clarification and seek help from the instructor or peers.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Solve practice problems on AI algorithms
Show steps
Solving practice problems will help reinforce your understanding of AI algorithms and strengthen your technical skills.
Browse courses on
AI Algorithms
Show steps
Show steps
Show steps
- Identify a reputable online platform or textbook with practice problems on AI algorithms.
- Set aside regular time each week to work on practice problems.
- Start with easier problems and gradually work your way up to more challenging ones.
- Review your solutions and identify areas where you need further improvement.
Follow online tutorials on AI tools and applications
Show steps
Following tutorials will help you gain practical experience with specific AI tools and their applications.
Browse courses on
AI Tools
Show steps
Show steps
Show steps
- Identify a specific area of AI that you are interested in, such as natural language processing or computer vision.
- Find reputable online platforms or YouTube channels that offer tutorials on the chosen area.
- Follow the tutorials step-by-step and complete the exercises.
- Build small projects to apply your learnings.
Join a study group or online forum for AI
Show steps
Engaging with peers will provide you with opportunities to discuss concepts, share ideas, and receive support.
Show steps
Show steps
Show steps
- Identify and join a study group or online forum dedicated to AI.
- Participate in discussions, ask questions, and share your insights.
- Collaborate with other members on projects or assignments.
Create a presentation on the impact of AI on a specific industry
Show steps
Creating a presentation will help you synthesize your knowledge of AI and its implications for a specific industry.
Browse courses on
AI Impact
Show steps
Show steps
Show steps
- Choose an industry that you are interested in and research the impact of AI on that industry.
- Gather data and examples to support your analysis.
- Develop a clear and engaging presentation structure.
- Practice your presentation and deliver it to an audience.
Participate in AI-related competitions or hackathons
Show steps
Participating in competitions or hackathons will challenge you to apply your AI skills in a competitive environment.
Show steps
Show steps
Show steps
- Identify AI competitions or hackathons that align with your interests.
- Form a team or work individually to develop innovative AI solutions.
- Submit your entries and compete against other participants.
- Reflect on the experience and identify areas for improvement.
Develop an AI-powered application
Show steps
Building an AI-powered application will allow you to apply your knowledge and skills to a real-world problem.
Browse courses on
AI Applications
Show steps
Show steps
Show steps
- Identify a problem or opportunity that can be solved using AI.
- Research and select appropriate AI algorithms and tools.
- Design and develop the AI model.
- Deploy and test the application.
- Iterate and refine the application based on feedback and performance.
Career center
Learners who complete Emerging Technology, Disruption, and AI will develop knowledge and skills
that may be useful to these careers:
Artificial Intelligence Engineer
Artificial Intelligence Engineer
Artificial Intelligence Engineers are responsible for developing, implementing, and managing AI systems. This course may be useful for gaining a deep understanding of the principles and applications of AI, as well as essential skills in designing, developing, and deploying AI-powered solutions.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers are responsible for developing and implementing machine learning models. This course may be useful for gaining a deep understanding of the principles and applications of AI, as well as essential skills in designing, developing, and deploying machine learning solutions.
Data Engineer
Data Engineer
Data Engineers are responsible for building and maintaining the data infrastructure that powers AI systems. This course may be useful for gaining a deep understanding of the principles and applications of AI, as well as essential skills in designing, developing, and deploying data engineering solutions.
Computer Scientist
Computer Scientist
Computer Scientists are responsible for developing new computing technologies. This course may be useful for gaining a deep understanding of the principles and applications of AI, as well as essential skills in designing, developing, and deploying AI-powered solutions.
Technical Support Specialist
Technical Support Specialist
Technical Support Specialists must be able to quickly learn how to use new technologies and troubleshoot complex problems. This course may be useful for gaining a deep understanding of the principles of AI, building essential skills in troubleshooting AI-powered technologies, and developing a robust foundation in the fundamentals of emerging technologies.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use their knowledge of the latest technologies to improve operational efficiency and gain a competitive advantage. This course may be useful for understanding how to harness the power of AI to improve business practices and identify new opportunities.
Software Engineer
Software Engineer
Software Engineers must be able to adapt to new technologies quickly. This course may be useful for building a foundation in predicting trends, understanding the principles of AI, and learning how to navigate the complexities of technological change.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use data to identify trends and model complex systems. This course may be useful for developing skills in probability and expected utility, learning how to use data to make informed decisions, and gaining a deep understanding of the principles and applications of AI.
Technology Consultant
Technology Consultant
Technology Consultants help organizations understand and implement disruptive technologies. This course may be useful for developing essential skills in evaluating data sources, understanding the impact of emerging technologies on businesses, and using scenario planning to prepare for unexpected technological changes.
Product Manager
Product Manager
Product Managers are tasked with predicting and preparing for future trends. This course may be useful for building essential skills in futurism and scenario planning, as well as developing a deep understanding of the impact of emerging technologies on the development of new products and services.
UX Designer
UX Designer
UX Designers must have a deep understanding of how people interact with different technologies. This course may be useful for building essential skills in evaluating data sources, understanding the principles of AI, and developing new ways to interact with emerging technologies.
Technical Writer
Technical Writer
Technical Writers must have a strong understanding of emerging technologies to be able to explain them clearly and engagingly. This course may be useful for gaining a robust foundation in the principles and applications of AI, and for developing skills in futurism and scenario planning.
Data Analyst
Data Analyst
Data Analysts must be able to evaluate which technologies to use for different business purposes. This course may be useful for developing essential skills in evaluating data sources and making informed decisions about how to apply different AI techniques to different scenarios.
Information Security Analyst
Information Security Analyst
An Information Security Analyst will be well-equipped with the skills to recognize disruptive technologies and make informed, data-driven decisions about how to protect an organization's infrastructure. This course may be useful for building a foundation in managing cyber threats.
Data Scientist
Data Scientist
Emerging technologies and AI are rapidly changing the role of a Data Scientist. This course may be useful for gaining insights into how to manage AI systems, how to make informed decisions using data, and how to lead data-driven initiatives.
For more career information including salaries, visit:
OpenCourser.com/course/neru0t/emerging
Reading list
We've selected 13 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
Emerging Technology, Disruption, and AI.
Provides a detailed analysis of why large companies often fail to innovate, and offers a framework for overcoming this challenge.
Provides a framework for understanding the process of disruptive innovation, which is essential for businesses looking to stay ahead of the competition.
Save
Provides a comprehensive introduction to the field of deep learning, covering a wide range of topics from the basics to the latest advances.
Provides a contrarian perspective on innovation, arguing that successful startups are built on creating something new rather than copying existing ideas.
Provides a practical guide to building a successful startup, with a focus on using continuous innovation to test and validate ideas.
Provides a practical guide to building and deploying machine learning models using popular open-source libraries such as Scikit-Learn, Keras, and TensorFlow.
Provides a comprehensive introduction to the field of machine learning from a probabilistic perspective, covering topics such as Bayesian inference and graphical models.
Provides a candid and practical guide to the challenges of building a successful business, with a focus on the importance of leadership and culture.
Provides a framework for understanding the challenges of marketing and selling technology products to mainstream customers.
Provides a comprehensive introduction to the field of statistical learning, covering a wide range of topics from linear regression to support vector machines.
Provides a comprehensive introduction to the field of reinforcement learning, covering a wide range of topics from the basics to the latest advances.
Provides a detailed analysis of the role of luck in innovation, and offers a framework for increasing the odds of success.
Provides a rigorous and comprehensive introduction to the field of machine learning, covering a wide range of topics from supervised learning to reinforcement learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/neru0t/emerging
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Effort
4-6 hours / week, 4 weeks of study
Level
Introductory
Via
Coursera
Institution
University of Illinois at Urbana-Champaign
Instructor
Robert J. Brunner
Language
English
Transcripts
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