We may earn an affiliate commission when you visit our partners.
Course image
Omolu Osivue Christopher

Perplexity AI: Research, Creativity & Everyday ApplicationsAre you ready to unlock the full potential of Perplexity AI and revolutionize the way you search, create, and work? Whether you’re a professional, student, or creative, this course will take you from the basics to advanced applications of Perplexity AI, transforming it into your ultimate productivity and research companion.

Read more

Perplexity AI: Research, Creativity & Everyday ApplicationsAre you ready to unlock the full potential of Perplexity AI and revolutionize the way you search, create, and work? Whether you’re a professional, student, or creative, this course will take you from the basics to advanced applications of Perplexity AI, transforming it into your ultimate productivity and research companion.

Imagine being able to craft perfect queries, perform academic research effortlessly, brainstorm creative ideas, and even automate tasks, all with the power of Perplexity AI. This course goes beyond surface-level tutorials, introducing you to hidden features, practical workflows, and real-world projects tailored for diverse needs. From creating professional reports to generating creative content, you’ll learn to use Perplexity AI in ways you never thought possible.

What You'll get:By enrolling in this course, you’ll gain access to:

  • Hands-on projects to build real-world skills.

  • Practical applications for research, creativity, and business.

  • Advanced tips to streamline workflows and boost productivity.

  • Ethical guidelines to use AI responsibly.Imagine confidently using Perplexity AI to tackle challenges in your studies, work, or personal life, all while staying ahead in the digital age.

Enroll Now:Don’t miss this opportunity to master one of the most versatile AI tools available today. Enroll now and start transforming how you search, create, and innovate with Perplexity AI. Let’s get started.

Enroll now

What's inside

Learning objectives

  • Effectively use perplexity ai: understand the core features and capabilities of perplexity ai for advanced search and conversational ai tasks.
  • Master query techniques: learn how to craft precise and effective queries to retrieve accurate and relevant information.
  • Apply ai in research: use perplexity ai for academic research, literature reviews, and creating bibliographies with proper citations.
  • Boost creativity: leverage perplexity ai for brainstorming, storytelling, and creative content generation.
  • Optimize productivity: explore real-world applications of perplexity ai for time management, travel planning, and decision-making.
  • Integrate ai tools: combine perplexity ai with other tools like zapier and notion to automate workflows and enhance productivity.
  • Show more
  • Show less

Syllabus

Generating Reports and Summaries for Decision-Making
Introduction to Perplexity AI
What is Perplexity AI? Overview and capabilities
How it works: Combining Search and Conversational AI
Read more

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Teaches how to combine Perplexity AI with tools like Zapier and Notion, which can automate workflows and significantly enhance productivity across various professional tasks
Explores ethical considerations and responsible AI use, which is crucial for professionals and researchers aiming to maintain integrity and avoid potential pitfalls in their work
Covers advanced search techniques and source verification, which are essential for academic research and ensuring the reliability of information in professional settings
Includes a comparison with similar tools like ChatGPT and Gemini, which helps learners understand Perplexity AI's unique strengths and choose the best tool for their specific needs
Focuses on real-time information retrieval, which is highly valuable for professionals and researchers who need up-to-date data for decision-making and analysis
Examines Perplexity AI plugins and integrations, which may require learners to subscribe to third-party services in order to fully realize the course's stated objectives

Save this course

Create your own learning path. Save this course to your list so you can find it easily later.
Save

Reviews summary

Perplexity ai: research, creativity & everyday applications

According to learners, this course offers a largely positive introduction to Perplexity AI, particularly excelling in its coverage of research and academic applications. Students found the sections on crafting effective queries and understanding source citations to be invaluable and highly practical. While praised for its well-structured approach and useful tips for everyday productivity and ethical use, some reviewers felt the course could use more depth in areas like creative applications and business use cases. One reviewer noted it might be too basic for those already familiar with AI tools, suggesting it's best suited for beginners or intermediate users focused on research.
Comparison to other tools useful.
"I especially liked the comparison to other tools."
"The comparison feature with other AI tools was a nice touch."
"The side-by-side look at Perplexity vs. ChatGPT was very helpful."
Responsible AI use discussed well.
"Good ethical discussion though."
"The ethical part was insightful."
"I appreciate that the course covers understanding AI bias and limitations."
Provides useful everyday tips.
"Useful for everyday applications. I picked up some great tips for productivity and decision-making."
"Loved the hands-on approach and practical examples."
"I learned how to use practical tools and strategies that I could apply immediately to my work."
"Offers many practical ways to integrate Perplexity AI into daily tasks and workflows."
Excellent for academic research.
"absolutely fantastic for anyone wanting to get serious about using Perplexity AI for research. The sections on crafting effective queries and citing sources were invaluable."
"learned so much about using Perplexity for academic work. The detailed explanations of source citations and filtering results were exactly what I needed."
"As a researcher, this course was a game-changer. The focus on academic applications, literature reviews, and bibliography creation with Perplexity is spot on."
"The course is particularly strong in showing how to use Perplexity for academic research and source verification."
May be basic for experienced users.
"Found this course too basic. If you've used AI tools before, much of this will be redundant. The advanced techniques section wasn't very advanced."
"Good for beginners and intermediate users."
"This is great if you're just starting with AI search, but more experienced users might not find enough new information."
Some sections felt superficial.
"sometimes felt a bit rushed. The business applications section, like customer support, felt superficial."
"found the creative writing section a bit light... The creative applications section could have been expanded."
"Creativity and business needed more depth. Still, a good starting point."
"Some of the advanced topics didn't go into as much detail as I hoped."

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 Perplexity AI: Research, Creativity & Everyday Applications with these activities:
Review AI Fundamentals
Reviewing AI fundamentals will provide a solid foundation for understanding how Perplexity AI works and its capabilities.
Browse courses on Artificial Intelligence
Show steps
  • Read introductory articles on AI and machine learning.
  • Watch videos explaining basic AI concepts.
  • Complete a short online quiz to test your knowledge.
Read 'Artificial Intelligence: A Guide for Thinking Humans'
Reading this book will provide a broader understanding of AI concepts, helping you to better understand the capabilities and limitations of Perplexity AI.
Show steps
  • Read the book, focusing on chapters related to natural language processing and machine learning.
  • Take notes on key concepts and examples.
  • Reflect on how these concepts relate to Perplexity AI.
Read 'AI for Marketing and Product Innovation'
Reading this book will provide real-world examples of how AI is used in business, enhancing your understanding of Perplexity AI's potential applications.
View Spirited Away on Amazon
Show steps
  • Read the book, focusing on chapters related to market research and content creation.
  • Take notes on key concepts and examples.
  • Reflect on how these concepts relate to Perplexity AI.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Query Optimization Exercises
Practicing query optimization will improve your ability to craft effective queries and retrieve accurate results from Perplexity AI.
Show steps
  • Generate a list of complex research questions.
  • Craft multiple queries for each question, varying keywords and syntax.
  • Compare the results and identify the most effective queries.
  • Repeat this process with different types of questions.
Create a Presentation on Ethical Considerations of AI
Creating a presentation will help you to critically analyze the ethical implications of AI and promote responsible use of Perplexity AI.
Show steps
  • Research ethical considerations related to AI, such as bias and privacy.
  • Develop a presentation outline with key points and examples.
  • Create visually appealing slides with clear and concise information.
  • Practice your presentation and solicit feedback from peers.
Create a Perplexity AI Use Case Guide
Creating a use case guide will solidify your understanding of Perplexity AI's capabilities and how it can be applied in different scenarios.
Show steps
  • Identify five different use cases for Perplexity AI.
  • Research and document the steps involved in each use case.
  • Create a clear and concise guide with screenshots and examples.
  • Share your guide with other students for feedback.
Automate a Workflow with Perplexity AI and Zapier
Starting a project to automate a workflow will allow you to integrate Perplexity AI with other tools and enhance your productivity.
Show steps
  • Identify a repetitive task that can be automated.
  • Design a workflow that integrates Perplexity AI and Zapier.
  • Implement the workflow and test its functionality.
  • Document the process and share your findings.

Career center

Learners who complete Perplexity AI: Research, Creativity & Everyday Applications will develop knowledge and skills that may be useful to these careers:
Academic Researcher
An Academic Researcher conducts scholarly investigations, often involving extensive literature reviews and data analysis, and typically requires a master's degree or doctorate. This course is tailor-made for Academic Researchers who are seeking to use Perplexity AI for literature reviews and summarizing academic papers. The course discusses how to create bibliographies and reference lists using the tool. Given that the course also touches on ethical considerations and limitations, researchers can also learn how to responsibly use this technology. An academic researcher should take this course to master using this new tool.
Intelligence Specialist
The Intelligence Specialist gathers and analyzes information to support strategic decision-making, often in government or corporate settings, often requiring a master's degree or doctorate. This course is tailor-made for Intelligence Specialists who are seeking to use Perplexity AI for summarizing intelligence reports and conducting literature reviews. The course discusses how to verify sources and refine search criteria using AI. Given that the course also touches on ethical considerations and limitations, specialists can also learn how to responsibly use this technology. An intelligence specialist should take this course to master using this new tool.
Market Research Analyst
The Market Research Analyst specializes in understanding consumer behavior and market trends to advise on product development and marketing strategies. This course directly benefits Market Research Analysts by improving their comprehension on how to use Perplexity AI for market research. The course teaches how to formulate precise queries to obtain relevant market data and gain insights into customer preferences. Because the course also incorporates summaries of reports for decision making, it may additionally allow the analyst to be more efficient with their time. A market research analyst should take this course to improve their ability to translate data into actionable business strategies.
Information Broker
An Information Broker gathers and sells information to clients, requiring strong research skills and attention to detail. This course sharpens an Information Broker's information gathering skills, especially with its focus on crafting effective queries for accurate results. The syllabus touches on verifying information and source citations, crucial for maintaining the integrity of research. Learning to leverage AI summaries for research papers and literature reviews can significantly streamline the process. An information broker should take this course to improve the quality and efficiency of your services.
Research Analyst
A Research Analyst conducts in-depth studies and gathers data to provide insights and recommendations. This course helps Research Analysts refine their information gathering via its focus on crafting effective queries for accurate results. The syllabus touches on verifying information and source citations, crucial for maintaining the integrity of research. Learning to leverage AI summaries for research papers and literature reviews can significantly streamline the analytical process for any research analyst. A research analyst should take this course to improve the quality and efficiency of their work.
Report Writer
The Report Writer prepares detailed reports on various topics, requiring strong analytical and writing skills. This course will benefit Report Writers by showing them how to use Perplexity AI to generate reports and summaries for decision-making. The course additionally teaches how to refine searches with filters and contextual follow ups. Report writers should take this course to improve their ability to translate data into actionable insights.
Business Intelligence Analyst
A Business Intelligence Analyst analyzes data to identify trends and insights that help improve business performance and decision-making. This course helps Business Intelligence Analysts to generate reports and summaries for decision-making. It also teaches how to summarize academic papers and journals. The ability to refine searches with filters and contextual follow ups in order to leverage AI summaries can greatly improve the analyst's performance. A business intelligence analyst should take this course to improve their ability to turn data into actionable insights.
Investigative Journalist
An Investigative Journalist conducts in-depth investigations into significant issues, often involving extensive research and information verification. This course helps the Investigative Journalist explore real-time information retrieval and understand source citations. It also teaches how verify information and refine results with filters. Learning how to craft precise and effective queries to retrieve accurate and relevant information is crucial for journalistic integrity. An investigative journalist should take this course to enhance your investigative capabilities.
Content Creator
A Content Creator develops engaging material for various platforms, often requiring innovative ideas and compelling storytelling. This course can act as a catalyst for content creators to brainstorm ideas for content creation. It includes the use of AI for storytelling and generating visual concepts. The ability to use Perplexity AI to enhance creativity and streamline the content creation process can give content creators a competitive edge. A content creator should take this class to learn how to incorporate AI into their workflow.
Digital Strategist
A Digital Strategist develops and implements strategies to enhance a company's online presence and achieve digital marketing goals. This course can help digital strategists leverage AI for real-time information retrieval and understanding future trends in AI. The course teaches how to use Perplexity AI to streamline processes which may allow digital strategists to make more informed decisions. A digital strategist should take this course to discover innovative ways to stay ahead in the digital landscape.
Innovation Manager
The Innovation Manager fosters a culture of creativity within an organization, driving the development of new ideas and solutions. This course can help Innovation Managers by streamlining market research and enhancing idea generation by leveraging AI. The course's focus on ethical considerations and responsible AI use aligns with the manager's goal of creating a positive culture. Innovation managers should think about taking this course to discover innovative ways to integrate AI into the company.
Technical Writer
The Technical Writer creates documentation and guides for technical products or processes, requiring clear and concise communication. This course helps Technical Writers become more efficient, especially when using Perplexity AI to accelerate research and gather precise information efficiently. The course's focus on verifying information and understanding source citations ensures that Technical Writers can maintain the highest standards of accuracy in their documentation. Technical writers should consider enrolling in this course to improve their ability to transform complex information into easily accessible content.
Information Architect
The Information Architect designs and organizes digital content to ensure optimal user experience and accessibility. This course can aid Information Architects by improving their abilities in how to refine results with filters and how to ask effective questions. The course helps to provide the ability to quickly synthesize and structure information. An Information Architect should take this course to learn how to use AI to create more user-friendly content structures.
Curriculum Developer
The Curriculum Developer designs and creates educational content and programs, aligning with learning objectives and industry standards. This course can help Curriculum Developers by streamlining academic research and enhancing curriculum design by leveraging AI. The course's focus on ethical considerations and responsible AI use aligns with educational standards. Curriculum developers should think about taking this course to discover innovative ways to integrate AI into educational frameworks.
Knowledge Manager
A Knowledge Manager oversees the organization and sharing of information within an organization, ensuring easy access to relevant data. This course may help Knowledge Managers streamline their processes with the help of AI to better organize and retrieve information. It teaches techniques for crafting effective queries and refining search results. A knowledge manager should take this course to leverage AI to enhance information accessibility across the organization.

Reading list

We've selected 50 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 Perplexity AI: Research, Creativity & Everyday Applications.
Foundational text for anyone beginning academic research. It provides a comprehensive overview of the research process, from formulating a question to presenting findings. It is widely used as a textbook in university courses and is an excellent resource for gaining a broad understanding of the topic. The latest edition incorporates recent developments in digital research.
Offers a comprehensive overview of Business Process Management (BPM), which is foundational to workflow automation. It covers essential concepts, methods, and techniques suitable for both beginners and advanced students. It is widely considered a standard textbook in academic settings.
Delves into the contemporary topic of Intelligent Automation and Hyperautomation, exploring the combination of RPA, AI, and other technologies. It provides a forward-looking perspective on the future of automation and its impact on businesses and society. It is essential for understanding the current trends in the field.
A highly popular and widely cited book that provides a clear and practical guide to understanding and choosing different research designs. It is essential for students and researchers to deepen their understanding of methodological approaches. is often used as a core textbook in research methods courses across various disciplines.
Focusing on the practical aspects of implementing BPM, this book provides real-world examples and guidance for successful projects. It valuable resource for practitioners looking to apply BPM principles to workflow automation initiatives. It complements theoretical knowledge with actionable strategies.
Explores the evolution of RPA to include cognitive automation, highlighting real-world implementations and the risks and benefits involved. It provides a deeper understanding of the advanced forms of automation and their impact on enterprises. It's a good resource for those looking beyond basic RPA.
Provides a detailed guide to conducting systematic literature reviews, a rigorous and increasingly common research method. It is essential for researchers needing to perform comprehensive and transparent reviews of existing literature.
This guide provides an accessible introduction to research ethics, covering key principles and challenges. It is essential for all students and researchers to understand ethical considerations in their work, providing foundational knowledge in a critical area.
Detailed guide to the process of analyzing qualitative data. It offers various techniques and strategies for researchers, making it valuable for deepening understanding of a critical research stage. The latest edition includes updates on current practices.
Focuses on leveraging process automation technology, including workflow engines, to orchestrate various components like software, humans, and bots. It provides practical advice and explores how process automation fits into modern IT architectures. It is suitable for developers and architects.
Focused specifically on the crucial process of conducting a literature review, this book provides a structured approach. It is essential for students and researchers to deepen their understanding of this foundational research component. It serves as a practical guide for all levels of academic inquiry.
A leading book on the case study methodology, providing detailed guidance on designing and conducting case study research. It is an essential resource for researchers utilizing this specific approach to deepen their methodological understanding.
Considered a classic in qualitative research, this book introduces the grounded theory methodology. It is crucial for those seeking to deepen their understanding of this specific approach and its philosophical underpinnings. While foundational, later works by Glaser provide more practical application details.
This playbook focuses on leveraging Microsoft's Power Platform, including Power Automate, for digital transformation and automation. It is highly relevant given the mention of Power Automate courses. It provides guidance on using a specific popular automation platform.
Provides a practical guide to using literature in research. It covers a wide range of topics, including finding and evaluating literature, writing literature reviews, and using literature to support research findings.
Explores contemporary issues in research ethics, offering a fresh perspective and utilizing guided dialogue. It is valuable for researchers and ethics decision-makers seeking to engage with current ethical challenges and strengthen research integrity.
While not solely focused on Information Retrieval, this book covers essential techniques for processing and analyzing large datasets, which are highly relevant to modern IR systems. It delves into topics like data mining, algorithms for large-scale data, and related concepts. is particularly useful for those interested in the data science aspects of IR and provides valuable background knowledge for handling massive amounts of text and other data.
Explores research ethics from diverse perspectives, including Indigenous methodologies, addressing contemporary ethical challenges in research. It is valuable for researchers seeking a broader and more nuanced understanding of ethical practices in a global context.
Offers practical guidance on conducting both traditional and systematic literature reviews. It useful resource for students and researchers at various levels, providing clear explanations and techniques for this essential research component.
A comprehensive and widely used textbook covering a broad range of research methods specifically within the field of education. It is suitable for students and researchers in education needing a solid understanding of relevant methodologies.
This guide provides a comprehensive look at BPM, covering frameworks and methodologies for implementing process improvements. It useful resource for anyone involved in managing and optimizing business processes, which is directly applicable to workflow automation projects. It offers practical guidance for practitioners.
Provides a practical, hands-on approach to workflow automation using Zapier, a popular no-code tool. It is ideal for beginners and those looking to automate tasks without extensive coding knowledge. It offers step-by-step guidance and real-world examples.
Provides a simple and easy-to-follow guide to writing a literature review. It covers all the essential steps, from finding and evaluating literature to writing and editing your review.
Offers a practical, step-by-step guide for students undertaking a research project. It covers all stages of the process and is particularly helpful for beginners seeking a broad understanding and practical guidance. It valuable resource for undergraduate and master's level students.
Foundational text in workflow modeling, providing tools and techniques for analyzing and improving business processes. While published some time ago, the principles of workflow modeling remain highly relevant for designing effective automation solutions. It's a valuable reference for understanding process design.
Delves into contemporary issues surrounding the increasing commodification of academic research and its implications for science and society. It offers a critical perspective on the changing landscape of academic inquiry, suitable for advanced students and professionals interested in current trends.
Provides a practical introduction to conducting qualitative research, focusing on various methods and their application. It is suitable for students and researchers looking for a hands-on guide to qualitative methodologies.
This practical book focuses on applying text analysis techniques using Python, which is highly relevant for implementing various IR tasks. It covers methods for processing, analyzing, and extracting information from text data. It useful resource for students and practitioners who want to build IR systems and applications using Python libraries. It complements theoretical knowledge with practical implementation details.
This handbook is specifically designed to help international students develop the necessary academic writing skills for university-level study. It provides clear explanations and practice exercises, making it a valuable resource for solidifying understanding of academic conventions.
Examines contemporary issues and practical approaches in educational research. While focused on education, it provides insights into current research practices and challenges relevant to a broader academic audience. It is useful for those seeking to understand the evolving nature of research.
Comprehensive guide to SAP Build Process Automation, a low-code/no-code platform. It covers creating and managing business process projects within the SAP ecosystem. It valuable resource for those working with or interested in SAP's automation tools.
While focused on the humanities, this book offers valuable insights into academic writing style and argumentation relevant across disciplines. It helps students and researchers refine their writing for clarity and impact, deepening their understanding of effective scholarly communication.
Serves as a practical guide to research methods and analysis, suitable for students undertaking academic research. It provides a solid overview of key concepts and techniques, helpful for gaining a broad understanding of the research process.
While broader than just workflow automation, this book provides a crucial framework for understanding digital transformation, of which automation key component. It helps readers rethink their business strategies for the digital age and provides a playbook for navigating this change. It offers valuable context for implementing automation initiatives.
This comprehensive book covers the fundamentals of natural language processing (NLP), which is closely related to Information Retrieval. Understanding NLP techniques is crucial for tasks like text processing, indexing, and query understanding in IR systems. While not strictly an IR book, it provides essential background knowledge in linguistic analysis and computational methods applied to text. It widely recognized textbook in the field.
Offers a more statistically oriented perspective on data mining, covering principles and methods applicable to analyzing large datasets. It provides a deeper understanding of the statistical foundations behind many techniques used in IR, such as clustering and classification. It is suitable for those with a stronger mathematical or statistical background.
While focused on software development, this book's principles of automating the software release process are highly relevant to workflow automation in a technical context. It is considered a classic in the DevOps and continuous delivery space. It provides foundational knowledge for automating technical workflows.
This foundational text provides a deep dive into the statistical methods used in natural language processing. Given the heavy reliance on statistical techniques in modern Information Retrieval, this book offers valuable insights into the underlying principles. It is more theoretically oriented and suitable for those with a strong interest in the mathematical and statistical foundations of text processing for IR.

Share

Help others find this course page by sharing it with your friends and followers:

Udemy Buyer Protection & Guarantee

Verified partner policies & purchase protections

Global Marketplace Leader
Free Trial & Audit

Free Lecture Previews

Free preview video lectures available for all courses; optional 7-day free trial on Personal Plan subscriptions (cancel before trial ends to avoid conversion).

Return & Refund Policy

30-Day Money-Back Guarantee

30-day money-back guarantee on all eligible individual course purchases (provided course content has not been substantially consumed or downloaded). Subscription fees are non-refundable once billed.

Buyer Protections

Verified Academic & Industry Partner

Lifetime access to purchased individual courses and future updates, verifiable certificate of completion, and direct student Q&A forums.

Key Purchase Protections
30-day 100% money-back guarantee on course purchases
Lifetime access on web, mobile, and offline
Certificate of completion included with purchase
Direct instructor Q&A and active student community
OpenCourser Verified Partner Policy details last reviewed: 2026-10-22
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2025 OpenCourser