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Tim Warner

You’re not a programmer, but you're fierce with Microsoft Excel formulas. This course demonstrates how non-programmers can build intelligent chat bots with Microsoft Copilot Studio.

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You’re not a programmer, but you're fierce with Microsoft Excel formulas. This course demonstrates how non-programmers can build intelligent chat bots with Microsoft Copilot Studio.

The Microsoft Power Virtual Agent (PVA) service got a big GPT boost, and now we have Microsoft Copilot Studio! In this course, Introduction to Microsoft Copilot Studio, you’ll understand, at a high level, the value Microsoft AI-powered intelligent chatbots can bring to your organization. First, you’ll understand what Copilot Studio is and how it fits within the Power Platform. Next, you’ll discover how your bots behave both with customers and developers. Finally, you’ll learn how to sign up for a Microsoft Copilot Studio free trial. When you’re finished with this course, you’ll have the skills and knowledge of Microsoft Copilot creation needed to critically evaluate the product with your teams.

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What's inside

Syllabus

Course Overview
Microsoft Copilot Studio: Capabilities and Use Cases
Microsoft Copilot Studio: Build a Chatbot

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Builds upon skills in Microsoft Excel, which is a highly relevant tool for many business professionals
Focuses on Microsoft Copilot Studio, a new tool that is powered by Microsoft's GPT technology, which is a cutting-edge language model
Provides a foundational understanding of Microsoft Copilot Studio's capabilities, use cases, and limitations, which is valuable for making informed decisions about its potential benefits and applications in a business context
Guides learners through the process of building a chatbot using Microsoft Copilot Studio, which is a practical skill that can be immediately applied to real-world projects
Benefits individuals who want to create intelligent chatbots without having a background in programming

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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 Introduction to Microsoft Copilot Studio with these activities:
Review Excel functions
Microsoft Copilot Studio leverages Excel functions so refresh those skills before jumping in
Show steps
  • Review the basics of Excel functions
  • Practice using functions in a spreadsheet
Follow a Microsoft Copilot Studio tutorial
Familiarize yourself with the basics of Microsoft Copilot Studio and chatbot development by following a tutorial
Show steps
  • Locate a Microsoft Copilot Studio tutorial
  • Follow the steps in the tutorial
  • Build a simple chatbot using Microsoft Copilot Studio
Join a Microsoft Copilot Studio study group
Collaborate with other learners and share knowledge by joining a Microsoft Copilot Studio study group
Show steps
  • Find a Microsoft Copilot Studio study group
  • Participate in group discussions
  • Share your knowledge and experiences with other group members
Four other activities
Expand to see all activities and additional details
Show all seven activities
Build a chatbot for a specific use case
Apply your skills by building a chatbot for a specific use case, such as customer service or lead generation
Browse courses on Chatbot Development
Show steps
  • Identify a specific use case for your chatbot
  • Design the chatbot's conversation flow
  • Build the chatbot using Microsoft Copilot Studio
  • Test and refine your chatbot
Attend a Microsoft Copilot Studio workshop
Deepen your understanding of Microsoft Copilot Studio by attending a hands-on workshop
Show steps
  • Find a Microsoft Copilot Studio workshop in your area
  • Register for the workshop
  • Attend the workshop
Write a blog post or article about Microsoft Copilot Studio
Share your knowledge and insights about Microsoft Copilot Studio by writing a blog post or article
Show steps
  • Choose a topic related to Microsoft Copilot Studio
  • Research your topic
  • Write your blog post or article
  • Publish your blog post or article
Help other learners or junior developers in the Microsoft Copilot Studio community
Give back to the community and reinforce your knowledge by mentoring other learners in the Microsoft Copilot Studio community
Show steps
  • Find opportunities to mentor others
  • Provide guidance and support to mentees
  • Share your knowledge and experience with mentees

Career center

Learners who complete Introduction to Microsoft Copilot Studio will develop knowledge and skills that may be useful to these careers:
Software Engineer
Software engineers work closely with business analysts to design, build and test software products and applications. Gaining proficiency in the use of Microsoft Copilot can give you the skills you need to build more efficient and intelligent software solutions and advance your career.
Sales Engineer
Sales Engineers work with customers to identify and solve their business problems using software solutions. Gaining proficiency in the use of Microsoft Copilot can give you the skills you need to better understand your customers' needs and to recommend the right solutions.
Business Analyst
Business Analysts are employed by technology firms to analyze and improve business processes using software solutions. Having a foundational understanding of the capabilities and use cases for software such as Microsoft Copilot can help you to better understand the technical requirements of projects and make more informed recommendations to your clients.
Customer Success Manager
Customer Success Managers are responsible for ensuring that customers are successful with their software products. Having a foundational understanding of the capabilities and use cases for Microsoft Copilot can help you to better understand your customers' needs and to provide them with the best possible support.
Product Manager
Product Managers are responsible for defining the vision and roadmap for software products. A course in Microsoft Copilot can help you to better understand how to build and integrate chatbots into your products.
UX Designer
UX Designers are responsible for designing the user experience for software products. A course in Microsoft Copilot may be helpful for UX designers who are looking to build chatbots for customer support or to improve the user experience of their software products.
IT Support Specialist
IT Support Specialists are responsible for providing technical support to users of software products. A course in Microsoft Copilot may be helpful for IT support specialists who are looking to build chatbots for customer support or to troubleshoot technical issues.
Artificial Intelligence Engineer
Artificial Intelligence Engineers are responsible for developing and deploying artificial intelligence models. A course in Microsoft Copilot may be helpful for artificial intelligence engineers who are looking to build chatbots for customer support or to automate artificial intelligence processes.
Machine Learning Engineer
Machine Learning Engineers are responsible for developing and deploying machine learning models. A course in Microsoft Copilot may be helpful for machine learning engineers who are looking to build chatbots for customer support or to automate machine learning processes.
Data Analyst
Data analysts are responsible for collecting, analyzing, and interpreting data in order to provide insights for decision making. A course in Microsoft Copilot may be helpful for data analysts looking to build chatbots for customer service or to automate data collection and analysis processes.
Business Intelligence Analyst
Business Intelligence Analysts are responsible for analyzing data to provide insights for decision making. A course in Microsoft Copilot may be helpful for business intelligence analysts who are looking to build chatbots for customer support or to automate data analysis processes.
Technical Writer
Technical Writers are responsible for creating user guides, documentation, and other technical materials. A course in Microsoft Copilot may be helpful for technical writers who are looking to create chatbots for customer support or to automate the creation of technical documentation.
Data Scientist
Data Scientists are responsible for developing and applying statistical and machine learning models to data. A course in Microsoft Copilot may be helpful for data scientists who are looking to build chatbots for customer support or to automate data analysis processes.
Quality Assurance Analyst
Quality Assurance Analysts are responsible for testing software products to ensure that they meet quality standards. A course in Microsoft Copilot may be helpful for quality assurance analysts who are looking to automate testing processes or to build chatbots for customer support.
IT Project Manager
IT Project Managers are responsible for planning, executing, and closing IT projects. Understanding the capabilities of Microsoft Copilot may be useful for IT Project Managers who are looking to implement chatbots for customer support or to automate project management tasks.

Reading list

We've selected 12 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 Introduction to Microsoft Copilot Studio.
Provides a comprehensive overview of natural language processing techniques. It covers topics such as text preprocessing, feature extraction, and machine learning algorithms for NLP.
Provides a comprehensive overview of natural language processing (NLP) techniques and how to implement them in Python. It covers topics such as text preprocessing, feature extraction, and machine learning algorithms for NLP.
Provides a practical introduction to deep learning using Python. It covers topics such as neural networks, convolutional neural networks, and recurrent neural networks.
Classic textbook on machine learning. It covers a wide range of topics, from the basics of machine learning to advanced topics such as reinforcement learning and Bayesian networks.
Comprehensive reference on deep learning. It covers a wide range of topics, from the basics of deep learning to advanced topics such as generative adversarial networks and reinforcement learning.
Provides a comprehensive overview of artificial intelligence. It covers topics such as the history of AI, the different types of AI, and the applications of AI.
Provides a thought-provoking look at the future of artificial intelligence. It discusses the potential benefits and risks of AI, and explores the ethical implications of developing AI.
Provides a thought-provoking look at the future of artificial intelligence. It discusses the potential benefits and risks of AI, and explores the ethical implications of developing AI.
Explores the potential risks of developing superintelligence. It discusses the different ways that superintelligence could go wrong, and proposes strategies for mitigating these risks.

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