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Sustoab Soren

Artificial Intelligence is transforming the way we work. By combining the power of ChatGPT with Microsoft Office and Google Sheets, you can save time, improve accuracy, and boost productivity across everyday tasks.

This course, “MS Office With AI - Word, Excel, PowerPoint, Google Sheets and ChatGPT”, will guide you step by step through practical applications of AI in the world’s most widely used office tools. You will learn how to write faster, analyze data more effectively, and create professional presentations with ease.

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Artificial Intelligence is transforming the way we work. By combining the power of ChatGPT with Microsoft Office and Google Sheets, you can save time, improve accuracy, and boost productivity across everyday tasks.

This course, “MS Office With AI - Word, Excel, PowerPoint, Google Sheets and ChatGPT”, will guide you step by step through practical applications of AI in the world’s most widely used office tools. You will learn how to write faster, analyze data more effectively, and create professional presentations with ease.

Whether you are a student, professional, freelancer, or business owner, this course will show you exactly how to integrate AI into your workflow to get more done in less time.

What You Will Learn

  • Use ChatGPT to write, edit, and summarize documents in Microsoft Word.

  • Automate repetitive tasks like reports, proposals, and letters with AI.

  • Generate formulas, analyze data, and create reports in Excel using AI prompts.

  • Build charts, pivot tables, and insights faster with ChatGPT.

  • Design engaging PowerPoint presentations with AI-generated content and structure.

  • Improve presentation flow, storytelling, and slide design with AI support.

  • Streamline workflows in Google Sheets with ChatGPT for automation and data cleaning.

  • Apply practical AI prompts for business, study, and personal productivity.

  • Save hours of manual work by integrating ChatGPT into daily office tasks.

  • Gain real-world skills to combine MS Office, Google Sheets, and AI effectively.

Why Take This Course?

  • No coding or technical background required.

  • Practical, step-by-step demonstrations you can apply immediately.

  • Real-world examples designed for workplace, academic, and business use.

  • Stay ahead of the curve by learning how AI is reshaping office productivity.

Who This Course Is For

  • Anyone interested in using ChatGPT with Microsoft Office and Google Sheets.

By the end of this course, you will know how to confidently integrate AI and ChatGPT into Word, Excel, PowerPoint, and Google Sheets to streamline tasks, reduce errors, and work smarter every day.

Enroll now

What's inside

Learning objectives

  • How to use chatgpt to write, edit, and summarize documents in microsoft word
  • Methods to automate reports, letters, and other routine tasks with ai
  • How to generate excel formulas, analyze data, and create reports using ai prompts.
  • How to design professional powerpoint presentations with ai-generated content.
  • How to apply ai in google sheets for automation, data cleaning, and analysis.
  • Practical prompts to integrate ai into business, academic, and personal tasks.
  • Real-world skills for combining ms office, google sheets, and chatgpt effectively.

Syllabus

MS Word Excel PowerPoint Google Sheets and ChatGPT
Introduction
Introduction to Microsoft Word interface
Creating, saving, and formatting documents in Word
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Career center

Learners who complete MS Office With AI - Word Excel PowerPoint with ChatGPT will develop knowledge and skills that may be useful to these careers:

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 MS Office With AI - Word Excel PowerPoint with ChatGPT.
The definitive benchmark textbook of modern artificial intelligence, rigorously unifying search algorithms, probabilistic reasoning, knowledge representation, and machine learning into an elegant, coherent agent-based framework.
The third edition of the essential guide to data wrangling with pandas, NumPy, and Jupyter in Python. Updated for newer versions of the libraries, this book remains a core resource for anyone performing data analysis in Python. It widely used textbook and reference for its clear explanations and practical examples.
A monumental foundational text establishing the mathematical, algorithmic, and statistical principles of modern deep neural networks, from linear algebra and optimization to convolutional and sequence modeling architectures.
Provides a comprehensive guide to prompt engineering, covering techniques for crafting effective inputs to generative AI models. It's particularly useful for understanding how to obtain reliable and predictable results, which is crucial for both beginners and those looking to deepen their practical skills. This book is valuable as a current reference for anyone working with generative AI.
Provides an exceptionally practical, code-first curriculum that guides engineers from end-to-end data preprocessing and traditional regression pipelines to production deep learning models and generative neural networks.
This comprehensive handbook covers the entire field of robotics and automation, from the basics to the latest developments. It is an essential resource for anyone who wants to learn about this rapidly growing field.
Delivers an authoritative mathematical foundation in Bayesian inference, graphical models, and statistical learning algorithms, bridging foundational probability theory with rigorous predictive computational modeling.
Guides engineers step-by-step through implementing, training, and fine-tuning complete generative transformer architectures in pure PyTorch, providing crystal-clear low-level insight into modern foundation models.
Delves into Google Apps Script, specifically in the context of Google Sheets. It's crucial for users who want to automate tasks and extend Sheets' capabilities, fitting for advanced undergraduate students, graduate students, and professionals.
Presents the foundational treatise on Markov decision processes, temporal-difference learning, and policy gradient methods that underpin autonomous decision-making and modern post-training alignment workflows.
Focusing specifically on automating Google Sheets using Apps Script, this book provides practical examples and techniques for streamlining tasks. It's a valuable resource for professionals and advanced users.
Examines holistic architectural patterns for designing resilient machine learning infrastructure, addressing data pipelines, real-time feature stores, continual learning loops, and production deployment reliability.
A comprehensive reference covering a wide range of topics in technical writing, including grammar, style, document design, and various technical genres. This handbook is an invaluable resource for students and professionals alike, providing detailed guidance on specific aspects of document creation. It is commonly used as a reference tool.
Provides a foundational understanding of the fundamental principles of data science and the data-analytic thinking necessary for extracting value from data in a business context. It is highly relevant for undergraduate business analytics programs and working professionals. It serves as a useful reference for understanding the business applications of data analysis and is commonly used as a textbook.
Demystifies practical transformer model implementation through the Hugging Face ecosystem, demonstrating how to fine-tune, optimize, and deploy attention architectures across diverse natural language processing and understanding tasks.
Considered a comprehensive guide, this book covers a wide array of Microsoft 365 applications, suitable for users from beginner to advanced levels. It aims to help users leverage the full potential of the suite and includes tips and shortcuts. is valuable as a primary learning resource and a reference for various Office applications.
This guide focuses specifically on Google Sheets functions, which is crucial for deepening understanding and performing complex calculations. It's valuable for undergraduate and graduate students, as well as professionals who need to utilize the full power of Sheets' formulas.
A classic guide to clear and concise writing, this book is essential for anyone creating documents. While not specific to technical documentation, its timeless principles on grammar, style, and composition are fundamental to effective communication in any format. This must-read for solidifying basic writing skills and serves as a valuable reference.
This handbook provides practical guidelines and best practices for creating high-quality technical documentation that is clear, concise, and user-focused. It offers valuable insights into the processes and standards involved in developing effective technical information. is excellent for deepening understanding of quality standards in document creation.
A comprehensive guide to learning Google Apps Script, which is essential for advanced Google Sheets users looking to automate workflows and build custom solutions. is suitable for graduate students and professionals.
Offers a practical, hands-on approach to prompt engineering specifically with ChatGPT. It's an excellent resource for high school and undergraduate students getting started, providing clear examples and exercises. It serves as a useful introductory guide and additional reading to complement foundational AI courses.
Beyond the basics, this book helps users deepen their understanding of Google Sheets for data analysis and productivity. It's suitable for undergraduate students and professionals looking to leverage Sheets more effectively. The book covers essential formulas and techniques for organizing and analyzing data.
Provides a hands-on approach to prompt engineering with a focus on using the OpenAI API. It's particularly relevant for undergraduate students, graduate students, and working professionals who want to programmatically interact with LLMs. It serves as a practical guide for implementing prompt engineering techniques in applications.
Focuses on the crucial skill of communicating insights from data effectively through compelling visualizations. is highly relevant for all levels, emphasizing the importance of clear and impactful data presentation. It is valuable additional reading that complements technical data analysis skills.
This foundational book explores the research behind effective document design and how readers interact with text and visuals. It provides a deep understanding of the principles that underpin creating usable and persuasive documents. This classic text for those wanting a research-based approach to document design.
Another highly regarded book on the craft of writing, Zinsser's work emphasizes clarity, simplicity, and humanity in nonfiction. It offers practical advice applicable to various forms of document creation, encouraging writers to connect with their readers. is valuable for developing a strong writing style and is often recommended as additional reading.
Definitive guide to creating accessible digital publications using the EPUB 3 standard. It details how to implement features that ensure documents are usable by individuals with disabilities, covering crucial contemporary topics in inclusive document creation. This must-read for anyone involved in digital publishing and accessibility.
Is particularly relevant for those transitioning from VBA to Google Apps Script, offering a bridge between the two scripting languages. It's valuable for professionals with a background in Excel automation who need to work with Google Sheets.
Part of the 'Inside Out' series, this book provides in-depth coverage of Microsoft Office, targeting intermediate to advanced users. It offers timesaving solutions, troubleshooting tips, and expert advice for optimizing productivity. is an excellent reference tool for those looking to deepen their understanding and mastery.
Focusing on the analytical capabilities of Excel, this book is ideal for those in business or academic fields requiring data analysis and modeling. It covers relevant techniques and applications within the latest versions of Office. is particularly useful for undergraduate and graduate students, as well as working professionals.
Delivers battle-tested operational patterns for serving foundation models, addressing GPU cluster throughput, semantic caching, automated evaluation benchmarks, and continuous latency minimization.
Bridges the gap between statistical theory and its practical application in data science using R and Python. It focuses on the statistical concepts most relevant to data scientists and provides code examples. It's a useful reference and learning resource for those applying statistics in their work.
Details an applied architectural methodology for running high-performance open-weights models on local workstations, tackling quantization fidelity, memory bandwidth limits, and prompt assembly trade-offs.
Focuses on the creative aspects of prompt engineering and generating diverse language outputs. It's a good fit for students and professionals looking to go beyond basic prompting and explore more advanced techniques for creative content generation. It adds breadth by covering applications in areas like creative writing and podcasting.
Offers a new way of thinking about data science and ethics informed by intersectional feminist thought. It challenges existing power structures within data and explores how data can be used to work towards justice. It's highly relevant for contemporary discussions around fairness and bias in data analysis.
Another 'Inside Out' guide, this book focuses exclusively on Microsoft Excel, offering in-depth coverage for intermediate to advanced users of Office 2021 and Microsoft 365. It provides detailed explanations and solutions for complex Excel tasks. This strong reference for users seeking to master Excel's advanced features.
Offers a rigorous theoretical foundation for reasoning under uncertainty, combining graph theory and probability distributions to model complex high-dimensional dependencies across autonomous intelligent systems.
A recent publication aimed at beginners, covering fundamental to advanced topics including data analysis and automation. is suitable for a wide audience from high school to professionals looking for an up-to-date comprehensive guide.
Delves into Visual Basic for Applications (VBA) within Microsoft Office 365, providing a comprehensive guide for automating tasks and creating custom solutions. It is aimed at users who want to deepen their understanding of Office's capabilities through programming. This valuable resource for those looking to extend their Office skills beyond standard usage.
Introduces core computational linguistics concepts and practical tokenization, tagging, and syntactic parsing workflows through clear Python examples, establishing strong fundamentals for language analysis.
While not solely focused on Google Sheets, this resource likely covers using Sheets as a tool for data analysis and visualization, a key skill for undergraduate and graduate students and professionals. It would deepen understanding of applying Sheets in a data-centric context.
Provides a guide to creating effective and aesthetically pleasing data visualizations. It delves into the principles behind good visualization design, helping readers make informed choices about how to represent their data. It valuable reference for anyone creating visualizations, from students to professionals.
Is an excellent starting point for anyone new to data analysis or statistics. It demystifies core statistical concepts without relying heavily on mathematical formulas, making it highly accessible for high school and undergraduate students. It provides a strong foundation in the intuition behind statistical analysis and helps readers understand how data can be used and misused. This is valuable background reading that builds prerequisite knowledge.
While focused on web and digital environments, the principles of organizing, structuring, and labeling information discussed in this book are highly relevant to complex document creation. It provides a strong theoretical foundation for making information findable and understandable. is valuable for those looking to deepen their understanding of information organization within documents.
This guide aims to make prompt engineering accessible with a step-by-step approach. It is well-suited for beginners and those new to the field, including high school students and those in introductory undergraduate programs. It provides practical tips and is useful for gaining a broad understanding of how to formulate effective AI prompts.
A comprehensive guide aimed at making prompt engineering accessible to a wide audience. It covers various techniques and applications for leveraging AI language models effectively. is useful for high school students through working professionals seeking a thorough introduction and practical guidance.
Synthesizes the five foundational tribes of machine learning into a unified conceptual framework, illuminating how symbolists, connectionists, evolutionaries, Bayesians, and analogizers approach intelligence.
Teaches probability and statistics using a computational approach with Python. It's ideal for students and professionals with programming experience who want to understand statistical concepts by doing. It helps solidify understanding through hands-on application.

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