Emerging Technology, Disruption, and AI from Coursera

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.

Module 2: Futurism, Scenario Planning, and Science Driven Decision Making

Module 2 explores decision-making under uncertainty, focusing on futurism, probability theory, expected utility, scenario planning and mitigating biases. It equips you with essential tools for informed decision-making in dynamic environments, especially within emerging technologies and disruptions.

Module 3: Mastering the Foundational Skills for Navigating Disruption

Module 3 emphasizes the foundational skills necessary for navigating the rapidly evolving landscape of disruptive technologies. Starting with the importance of cultivating the right mindset, the series underscores curiosity and open-mindedness as key to adapting to new technological challenges. We will also discuss the critical role of evaluating sources for credibility in an age of information overload and the significance of engaging in productive conversations amidst diverse perspectives.

Module 4: Artificial Intelligence: Techniques, Applications, and the Dawn of Autonomy

In module 4, you will embark on a comprehensive journey through the fascinating world of Artificial Intelligence (AI) and its various facets. This module provides a detailed exploration of AI, starting with the basics and gradually progressing to more complex topics. You will gain insights into the definition and history of AI, its applications in different domains, and the fundamental principles that underlie AI systems.

Good to know

Know what's good

, what to watch for

, 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

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"

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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

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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

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Connecting with mentors will provide you with valuable insights, advice, and support in your AI journey.

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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

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Regularly organizing and reviewing your materials will enhance your understanding and retention of key concepts.

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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

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Solve practice problems on AI algorithms

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Solving practice problems will help reinforce your understanding of AI algorithms and strengthen your technical skills.

Browse courses on AI Algorithms

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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

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Following tutorials will help you gain practical experience with specific AI tools and their applications.

Browse courses on AI Tools

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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

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Engaging with peers will provide you with opportunities to discuss concepts, share ideas, and receive support.

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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

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Creating a presentation will help you synthesize your knowledge of AI and its implications for a specific industry.

Browse courses on AI Impact

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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

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Participating in competitions or hackathons will challenge you to apply your AI skills in a competitive environment.

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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

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Building an AI-powered application will allow you to apply your knowledge and skills to a real-world problem.

Browse courses on AI Applications

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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 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.

See salaries and explore the career path for Artificial Intelligence 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.

See salaries and explore the career path for Machine Learning 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.

See salaries and explore the career path for Data Engineer

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.

See salaries and explore the career path for Computer Scientist

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.

See salaries and explore the career path for Technical Support Specialist

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.

See salaries and explore the career path for Business Intelligence Analyst

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.

See salaries and explore the career path for Software Engineer

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.

See salaries and explore the career path for Quantitative Analyst

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.

See salaries and explore the career path for Technology Consultant

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.

See salaries and explore the career path for Product Manager

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.

See salaries and explore the career path for UX Designer

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.

See salaries and explore the career path for Technical Writer

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.

See salaries and explore the career path for Data 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.

See salaries and explore the career path for Information Security Analyst

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.

See salaries and explore the career path for Data Scientist