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Mo Rebaie
In this 1-hour long project-based course, you will learn how to Navigate and Utilize AI Tools Efficiently, Enhance Research with Advanced AI Features, and Organize and Summarize Research Findings.
By the end of this project, you will have learned how to use Perplexity.AI to make your searches better with text prompts and attached files. You will learn to navigate the site, use special features for detailed searches, and organize and show your findings in a clear way, helping you explore your topics more deeply.
Register for this course and see more details by visiting:
OpenCourser.com/course/1bwt3q/perplexity
What's inside
Syllabus
Project Overview
By the end of this project, learners will know how to use Perplexity.AI to make their searches better. They will learn to navigate the site, use special features for detailed searches, and organize and show their findings in a clear way, helping them explore their topics more deeply.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops key research skills using AI and techniques that are highly relevant to industry
Strengthens an existing foundation for intermediate learners
Taught by Mo Rebaie, who has many years of experience working with AI
Comprehensive
Requires that this course be taken in serial with others as part of a series
May require additional resources to complete the activities and assignments
Save this course
Save Perplexity.AI for Beginners: AI-Powered Search 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 Perplexity.AI for Beginners: AI-Powered Search with these
activities:
Mentor Connection
Show steps
Seek guidance from an experienced mentor who can provide support, advice, and insights related to the course material and your research interests.
Browse courses on
Mentorship
Show steps
-
Identify potential mentors within your network or through professional organizations
-
Reach out to your chosen mentor and schedule a meeting to discuss your goals and interests
-
Maintain regular communication with your mentor and seek their guidance on research topics, career development, and other relevant areas
Perplexity.AI Tutorial
Show steps
Watch a tutorial to learn about the features and functionalities of Perplexity.AI, which will help you use the tool efficiently throughout the course.
Show steps
-
Visit the Perplexity.AI website or YouTube channel
-
Search for tutorials on using Perplexity.AI
-
Watch a tutorial that covers the basics of the tool, including navigation and search features
Search Optimization Practice
Show steps
Conduct practice searches with Perplexity.AI to refine your search skills, enabling you to find the most relevant information for your research.
Browse courses on
Search Optimization
Show steps
-
Identify a research topic of interest
-
Craft a search query using Perplexity.AI's text prompt and file attachment features
-
Evaluate the search results and refine your query as needed
-
Repeat the process to optimize your search strategy
Five other activities
Expand to see all activities and additional details
Show all eight activities
Peer Collaboration and Feedback
Show steps
Engage in discussions with peers to share insights, provide feedback on research approaches, and enhance your understanding of the course material.
Browse courses on
Feedback
Show steps
-
Join or create a study group with other students in the course
-
Meet regularly to discuss course topics, share research findings, and provide constructive criticism
-
Use Perplexity.AI's collaboration features to facilitate discussions and share research materials
AI Tools Workshop
Show steps
Attend a workshop focused on AI tools and techniques, enabling you to expand your knowledge and develop practical skills in using AI for research.
Browse courses on
AI Tools
Show steps
-
Identify and register for a workshop that aligns with your interests and learning objectives
-
Attend the workshop and actively participate in hands-on exercises and discussions
-
Apply the knowledge and skills gained in the workshop to your research projects and assignments
Research Findings Compilation
Show steps
Create a detailed compilation of your research findings using Perplexity.AI's organization and summarization features, which will help you present your findings in a clear and concise manner.
Show steps
-
Gather research materials from various sources using Perplexity.AI's search features
-
Organize the findings into logical categories or themes
-
Summarize the key points of each research finding
-
Use Perplexity.AI's outlining and formatting tools to create a visually appealing compilation
AI-Enhanced Research Project
Show steps
Embark on a research project that leverages Perplexity.AI's advanced AI features, enabling you to explore your research topic in greater depth and gain valuable insights.
Show steps
-
Identify a research topic that aligns with your interests and the course objectives
-
Develop a research plan outlining your research question, methodology, and expected outcomes
-
Utilize Perplexity.AI's AI tools to enhance your research process, such as literature review, data analysis, and visualization
-
Write a research paper or present your findings in a clear and engaging manner
Contribute to Open-Source AI Projects
Show steps
Engage with the open-source community by contributing to AI projects, allowing you to gain practical experience, expand your knowledge, and connect with other AI enthusiasts.
Browse courses on
Open Source
Show steps
-
Identify open-source AI projects that align with your interests and skills
-
Contribute to the project by writing code, documenting features, or providing feedback
-
Collaborate with other contributors and learn from their experiences
Mentor Connection
Show steps
Seek guidance from an experienced mentor who can provide support, advice, and insights related to the course material and your research interests.
Browse courses on
Mentorship
Show steps
Show steps
Show steps
- Identify potential mentors within your network or through professional organizations
- Reach out to your chosen mentor and schedule a meeting to discuss your goals and interests
- Maintain regular communication with your mentor and seek their guidance on research topics, career development, and other relevant areas
Perplexity.AI Tutorial
Show steps
Watch a tutorial to learn about the features and functionalities of Perplexity.AI, which will help you use the tool efficiently throughout the course.
Show steps
Show steps
Show steps
- Visit the Perplexity.AI website or YouTube channel
- Search for tutorials on using Perplexity.AI
- Watch a tutorial that covers the basics of the tool, including navigation and search features
Search Optimization Practice
Show steps
Conduct practice searches with Perplexity.AI to refine your search skills, enabling you to find the most relevant information for your research.
Browse courses on
Search Optimization
Show steps
Show steps
Show steps
- Identify a research topic of interest
- Craft a search query using Perplexity.AI's text prompt and file attachment features
- Evaluate the search results and refine your query as needed
- Repeat the process to optimize your search strategy
Five other activities
Expand to see all activities and additional details
Show all eight activities
Peer Collaboration and Feedback
Show steps
Engage in discussions with peers to share insights, provide feedback on research approaches, and enhance your understanding of the course material.
Browse courses on
Feedback
Show steps
Show steps
Show steps
- Join or create a study group with other students in the course
- Meet regularly to discuss course topics, share research findings, and provide constructive criticism
- Use Perplexity.AI's collaboration features to facilitate discussions and share research materials
AI Tools Workshop
Show steps
Attend a workshop focused on AI tools and techniques, enabling you to expand your knowledge and develop practical skills in using AI for research.
Browse courses on
AI Tools
Show steps
Show steps
Show steps
- Identify and register for a workshop that aligns with your interests and learning objectives
- Attend the workshop and actively participate in hands-on exercises and discussions
- Apply the knowledge and skills gained in the workshop to your research projects and assignments
Research Findings Compilation
Show steps
Create a detailed compilation of your research findings using Perplexity.AI's organization and summarization features, which will help you present your findings in a clear and concise manner.
Show steps
Show steps
Show steps
- Gather research materials from various sources using Perplexity.AI's search features
- Organize the findings into logical categories or themes
- Summarize the key points of each research finding
- Use Perplexity.AI's outlining and formatting tools to create a visually appealing compilation
AI-Enhanced Research Project
Show steps
Embark on a research project that leverages Perplexity.AI's advanced AI features, enabling you to explore your research topic in greater depth and gain valuable insights.
Show steps
Show steps
Show steps
- Identify a research topic that aligns with your interests and the course objectives
- Develop a research plan outlining your research question, methodology, and expected outcomes
- Utilize Perplexity.AI's AI tools to enhance your research process, such as literature review, data analysis, and visualization
- Write a research paper or present your findings in a clear and engaging manner
Contribute to Open-Source AI Projects
Show steps
Engage with the open-source community by contributing to AI projects, allowing you to gain practical experience, expand your knowledge, and connect with other AI enthusiasts.
Browse courses on
Open Source
Show steps
Show steps
Show steps
- Identify open-source AI projects that align with your interests and skills
- Contribute to the project by writing code, documenting features, or providing feedback
- Collaborate with other contributors and learn from their experiences
Career center
Learners who complete Perplexity.AI for Beginners: AI-Powered Search will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and deploy machine learning models. The Perplexity.AI for Beginners: AI-Powered Search course may be useful for this role, as it can teach you how to use AI tools to train and deploy machine learning models.
Artificial Intelligence (AI) Engineer
Artificial Intelligence (AI) Engineer
Artificial Intelligence (AI) Engineers design, develop, and deploy AI systems. The Perplexity.AI for Beginners: AI-Powered Search course may be useful for this role, as it can teach you how to use AI tools to build and deploy AI systems.
Market Researcher
Market Researcher
Market Researchers analyze market trends, collect data, and provide insights to help businesses make informed decisions. The Perplexity.AI for Beginners: AI-Powered Search course may be useful for this role, as it can help you learn how to conduct thorough research using AI tools and technologies.
Search Engine Optimizer (SEO) Specialist
Search Engine Optimizer (SEO) Specialist
Search Engine Optimizer (SEO) Specialists optimize websites and content to rank higher in search engine results pages (SERPs). The Perplexity.AI for Beginners: AI-Powered Search course may be useful for this line of work, as it can teach you how to conduct keyword research, create high-quality content, and build backlinks to your website.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to help organizations make informed decisions. The Perplexity.AI for Beginners: AI-Powered Search course may be useful for this role, as it can teach you how to use AI tools to automate data collection and analysis tasks.
Information Architect
Information Architect
Information Architects design and organize websites and other digital products to ensure that users can easily find the information they need. The Perplexity.AI for Beginners: AI-Powered Search course will likely be useful in this career since it can assist you in creating effective search functionalities and improving the overall user experience of a digital product.
Digital Marketing Manager
Digital Marketing Manager
Digital Marketing Managers plan and execute marketing campaigns across various digital channels. This involves creating and managing content, running ads, and analyzing data to measure the success of marketing efforts. The Perplexity.AI for Beginners: AI-Powered Search course may be useful for this role, as it can help you learn how to conduct market research, create effective content, and use AI tools to automate your marketing tasks.
Knowledge Manager
Knowledge Manager
Knowledge Managers are responsible for creating and managing knowledge bases within an organization. This involves collecting, organizing, and sharing knowledge to help employees find the information they need to do their jobs effectively. The Perplexity.AI for Beginners: AI-Powered Search course may be useful for this line of work, as it can help you learn how to use AI tools to improve the organization and accessibility of knowledge within your organization.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. This involves working with engineers, designers, and marketers to bring a product to market and ensure its success. The Perplexity.AI for Beginners: AI-Powered Search course may be useful for this line of work, as it can teach you how to conduct market research, identify customer needs, and develop product specifications.
Content Strategist
Content Strategist
Content Strategists plan and develop content for websites, social media, and other marketing channels. This involves understanding the target audience and creating content that is engaging and informative. The Perplexity.AI for Beginners: AI-Powered Search course may prove helpful in this field by teaching you how to conduct effective research, organize content, and measure the success of your content marketing campaigns.
Business Analyst
Business Analyst
Business Analysts help organizations improve their performance by analyzing data and identifying areas for improvement. The Perplexity.AI for Beginners: AI-Powered Search course may prove helpful for this role, as it can teach you how to use AI tools to collect and analyze data, and identify trends and patterns.
User Experience (UX) Designer
User Experience (UX) Designer
User Experience (UX) Designers focus on creating user interfaces that are easy to use and enjoyable to interact with. The Perplexity.AI for Beginners: AI-Powered Search course may be useful for this role, as it can help you learn how to conduct user research, create prototypes, and test the usability of your designs.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. The Perplexity.AI for Beginners: AI-Powered Search course may be useful for this role, as it can teach you how to use AI tools to automate software development tasks and improve the quality of your code.
Data Scientist
Data Scientist
Serving as a Data Scientist is all about transforming complex data into insights. This can involve using various tools to discover patterns, build predictive models, and extract meaningful information. The Perplexity.AI for Beginners: AI-Powered Search course would be a great fit for this line of work, as it can help you learn how to navigate and utilize AI tools efficiently, enhance research with advanced AI features, and organize and summarize research findings.
For more career information including salaries, visit:
OpenCourser.com/course/1bwt3q/perplexity
Reading list
We've selected 16 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 for Beginners: AI-Powered Search.
Provides a comprehensive overview of natural language processing, covering topics such as text classification, sentiment analysis, and machine translation. It classic textbook that is widely used in academic institutions.
Save
Provides a comprehensive overview of deep learning, covering topics such as convolutional neural networks, recurrent neural networks, and generative adversarial networks. It classic textbook that is widely used in academic institutions.
Save
Provides a comprehensive overview of computer vision, covering topics such as image processing, object detection, and facial recognition. It classic textbook that is widely used in academic institutions.
Provides a comprehensive overview of reinforcement learning, covering topics such as Markov decision processes, value functions, and policy gradients. It classic textbook that is widely used in academic institutions.
Provides a comprehensive overview of deep learning, covering topics such as convolutional neural networks, recurrent neural networks, and generative adversarial networks. It good resource for beginners who want to learn more about the basics of deep learning.
Provides a comprehensive overview of natural language processing, covering topics such as text classification, sentiment analysis, and machine translation. It good resource for beginners who want to learn more about the basics of NLP.
Provides a practical introduction to machine learning using Python. It covers a wide range of topics, including data preprocessing, model selection, and model evaluation. It good resource for beginners who want to learn how to apply machine learning to real-world problems.
Provides a practical introduction to deep learning using Fastai and PyTorch. It covers a wide range of topics, including data preprocessing, model selection, and model evaluation. It good resource for beginners who want to learn how to apply deep learning to real-world problems.
Provides a comprehensive overview of artificial intelligence, covering topics such as machine learning, natural language processing, and computer vision. It good resource for beginners who want to learn more about the basics of AI.
Save
Provides a comprehensive overview of search engines. It valuable resource for anyone who wants to learn more about the field of search engines.
Provides a comprehensive overview of the fundamental algorithms used in artificial intelligence. It valuable resource for anyone who wants to learn more about the inner workings of AI.
Provides a comprehensive overview of machine learning using Python. It valuable resource for anyone who wants to learn more about the field of machine learning.
Provides a comprehensive overview of machine learning using R. It valuable resource for anyone who wants to learn more about the field of machine learning.
Provides a comprehensive overview of deep learning using Python. It valuable resource for anyone who wants to learn more about the field of deep learning.
Provides a comprehensive overview of computer vision using Python. It valuable resource for anyone who wants to learn more about the field of computer vision.
Provides a concise overview of machine learning, covering topics such as supervised learning, unsupervised learning, and reinforcement learning. It good resource for beginners who want to learn about the basics of machine learning in a short amount of time.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/1bwt3q/perplexity
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Effort
2 hours
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
Mo Rebaie
Language
English
Good to know
Develops key research skills using AI and techniques that are highly relevant to industry
Strengthens an existing foundation for intermediate learners
Taught by Mo Rebaie, who has many years of experience working with AI
Comprehensive
Requires that this course be taken in serial with others as part of a series
May require additional resources to complete the activities and assignments
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