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Board Infinity and Mirza Rahim Baig

We begin with the first module, where you’ll set up your automation environment and get familiar with the basics of n8n, DeepSeek, and AI-driven workflow planning.

The next module, the second module, covers building visual workflows using triggers, email nodes, and DeepSeek-powered agents to automate decisions and content generation.

In the third module, you’ll extract insights from PDFs and emails, classify them using AI, and organize outputs in Google Sheets with tools like Poppler.

In the final module, you'll test, debug, and deploy intelligent agents that are robust and production-ready.

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We begin with the first module, where you’ll set up your automation environment and get familiar with the basics of n8n, DeepSeek, and AI-driven workflow planning.

The next module, the second module, covers building visual workflows using triggers, email nodes, and DeepSeek-powered agents to automate decisions and content generation.

In the third module, you’ll extract insights from PDFs and emails, classify them using AI, and organize outputs in Google Sheets with tools like Poppler.

In the final module, you'll test, debug, and deploy intelligent agents that are robust and production-ready.

By the end, you will:

- Understand the fundamentals of workflow automation using n8n and how to structure intelligent projects.

- Build end-to-end workflows using triggers, nodes, and real-world data sources such as Gmail and Google Sheets.

- Integrate DeepSeek into workflows to extract insights, classify data, and automate responses using large language models.

This course is ideal for:

-Business professionals automating repetitive tasks

-Startup founders looking to build AI-driven processes

-Product managers exploring no-code AI tools

-Enthusiasts interested in automation and intelligent systems

-Start building automation that works smarter—no code, just results.

Disclaimer: This course is an independent educational resource developed by Board Infinity and is not affiliated with, endorsed by, sponsored by, or officially associated with Deepseek & n8n or any of its subsidiaries or affiliates. This course is not an official preparation material of deepseek & n8n. All trademarks, service marks, and company names mentioned are the property of their respective owners and are used for identification purposes only.

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What's inside

Syllabus

Foundations of Workflow Automation and Project Setup
This module establishes the foundational understanding required to begin building intelligent agent workflows using N8N and DeepSeek. It starts by introducing the core concepts of workflow automation, emphasizing how automation platforms like N8N can orchestrate tasks across systems efficiently. Learners will explore the architecture, benefits, and use cases of N8N, gaining clarity on its node-based interface, trigger mechanisms, and integration capabilities. The module also guides learners through the complete setup process—installing N8N locally or on the cloud, connecting it to external services, and preparing it to interface with DeepSeek models. By the end of this module, learners will have a working automation environment, a clear mental model of how intelligent agents operate within workflows, and the foundational skills to begin designing their own AI-powered automation projects.
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Career center

Learners who complete Build Intelligent Agents Using DeepSeek & N8N will develop knowledge and skills that may be useful to these careers:
Business Process Automation Specialist
A Business Process Automation Specialist designs, implements, and maintains systems that automate repetitive and routine business tasks, significantly enhancing operational efficiency across an organization. This course offers a comprehensive foundation for this career, specifically demonstrating how to "automate real-world business tasks using n8n, DeepSeek.ai, and prompt engineering—without writing code." Learners gain direct experience in "building end-to-end workflows using triggers, nodes, and real-world data sources" like Gmail and Google Sheets. For aspiring Business Process Automation Specialists, this course is tremendously valuable, equipping you to "structure intelligent projects," understand the "fundamentals of workflow automation" from setup to deployment, and deliver concrete, automated business solutions efficiently.
AI Workflow Designer
An AI Workflow Designer crafts intricate automation sequences that leverage artificial intelligence for dynamic decision-making and intelligent responses, creating adaptive and smart operational frameworks. This course equips you with the precise skills needed, focusing on "designing intelligent workflows with N8N and LLMs." You will learn to integrate large language models like DeepSeek to enable "dynamic decision-making, content generation, data transformation, and human-like interaction." The practical exercises in "architecting intelligent agents that can analyze inputs, respond intelligently, and trigger further actions" make this course ideal for anyone aspiring to master the creation of sophisticated, AI-powered automation solutions.
No Code Automation Developer
A No Code Automation Developer builds robust and efficient automated solutions using visual interfaces and pre-built components rather than traditional programming. This career path is perfect for those who seek to create functional applications and workflows rapidly. This course aligns perfectly, enabling you to "create intelligent, no-code workflows that extract, process, and respond to data using AI tools." You will learn to "set up your automation environment and get familiar with the basics of n8n," mastering its node-based interface to construct complex systems. For a No Code Automation Developer, the course's emphasis on "no code, just results" and practical deployment of "production-ready" intelligent agents offers a direct pathway to success in this quickly growing field.
Prompt Engineer
A Prompt Engineer specializes in designing, refining, and optimizing inputs for large language models to elicit desired outputs and behaviors, which is critical for maximizing AI effectiveness. This course dives deep into the practices of a Prompt Engineer, explicitly covering "prompt engineering within workflows" and how to achieve "precise information extraction—without relying on agent nodes—by mastering prompt engineering." Through the course, you will learn to integrate DeepSeek into workflows to "extract insights, classify data, and automate responses using large language models," making you proficient in guiding AI for diverse tasks. This specialized focus renders the course exceptionally beneficial for this emerging and in-demand career.
Automation Engineer
An Automation Engineer designs, implements, and maintains automated systems and software to streamline processes and improve efficiency, requiring a systematic approach to developing resilient and scalable solutions. This course provides a strong foundation for an Automation Engineer by focusing on "building end-to-end workflows" and ensuring they are "robust and production-ready." The module on "Error Handling, and Deployment" is particularly relevant, covering "techniques for logging, monitoring, and testing workflows to ensure operational resilience" and guiding deployment to various environments. This hands-on experience in building and deploying intelligent agents, combined with a focus on reliability, is a tremendous asset for this demanding engineering role.
Solutions Architect Automation
A Solutions Architect Automation designs comprehensive and scalable automation solutions, outlining the technical framework and components required to meet specific business needs, merging strategic planning with deep technical understanding. This course provides a robust skill set for a Solutions Architect Automation, teaching how to "structure intelligent projects" and "architect intelligent agents that can analyze inputs, respond intelligently, and trigger further actions." You will gain experience in setting up automation environments and integrating AI tools, which is fundamental to designing coherent and effective automation landscapes. The ability to build "end-to-end workflows" using various data sources equips you to design holistic automation strategies.
AI Operations Specialist
An AI Operations Specialist is responsible for the reliable deployment, monitoring, and maintenance of artificial intelligence systems and automated workflows in production environments, ensuring optimal and consistent function. The course offers highly relevant skills for an AI Operations Specialist, particularly through its "Error Handling, and Deployment" module. Learners understand "techniques for logging, monitoring, and testing workflows to ensure operational resilience" and learn to "move workflows from development to production environments." This practical knowledge regarding "delivering stable, maintainable, and production-ready automation solutions powered by LLMs" is essential for managing the full lifecycle and performance of intelligent agents in real-world settings.
Digital Transformation Consultant
A Digital Transformation Consultant advises organizations on adopting new technologies and strategies to modernize operations, enhance customer experiences, and achieve strategic goals, often integrating innovative AI and automation solutions. This course may be useful for an aspiring Digital Transformation Consultant as it empowers individuals to "build AI-driven processes" and "automate real-world business tasks using n8n, DeepSeek.ai, and prompt engineering—without writing code." Understanding how to deploy "intelligent agents that are robust and production-ready" provides a valuable perspective on the practical implementation of transformative technologies, enabling you to guide clients with concrete, deployable solutions for modern business challenges.
Product Manager No Code AI
A Product Manager No Code AI champions the development and lifecycle of products that leverage no-code platforms and artificial intelligence, involving market understanding, product vision, and execution oversight. The course may be useful for a Product Manager No Code AI, as it is explicitly designed for "Product managers exploring no-code AI tools." By learning to "build AI-driven processes" and "create intelligent, no-code workflows," you will gain a deep understanding of the capabilities and limitations of such technologies. This hands-on knowledge is invaluable for defining feasible product roadmaps and communicating effectively with development and business teams about the potential of no-code AI solutions.
Data Integration Specialist
A Data Integration Specialist designs and implements systems that combine data from disparate sources, ensuring data consistency, accessibility, and reliability for analysis and operational use. The role is foundational for data-driven organizations. This course may be useful for a Data Integration Specialist, offering practical experience in handling varied data inputs and outputs. You will learn to "build end-to-end workflows using ... real-world data sources such as Gmail and Google Sheets." Specifically, the course covers "extracting insights from PDFs and emails, classify them using AI, and organize outputs in Google Sheets," which directly applies to connecting and transforming data streams into organized, actionable information for various business applications.
Operations Process Improvement Specialist
An Operations Process Improvement Specialist analyzes existing operational workflows, identifies inefficiencies, and designs and implements solutions to enhance productivity, quality, and cost-effectiveness, driving significant organizational gains. This course may be useful for an Operations Process Improvement Specialist as it provides practical tools to "automate real-world business tasks" and "build AI-driven processes" without writing code. You will learn to "create intelligent, no-code workflows that extract, process, and respond to data using AI tools," directly equipping you to implement tangible improvements. By understanding how to deploy "robust and production-ready" intelligent agents, you can strategically identify and execute automation initiatives that optimize operational performance.
Business Analyst Automation
A Business Analyst Automation identifies business needs, analyzes existing processes, and recommends automation solutions to improve efficiency and effectiveness, bridging the gap between business requirements and technical implementation. This course may be useful for a Business Analyst Automation by providing a tangible understanding of what is achievable with no-code AI and automation. By learning to "automate real-world business tasks" and "build intelligent agents that extract, process, and respond to data," you will be better equipped to identify opportunities for process improvement. The ability to design and conceptualize "end-to-end workflows" empowers you to define clear, impactful, and implementable automation strategies for various business functions.
AI Content Creator
An AI Content Creator leverages artificial intelligence tools to generate, optimize, and manage various forms of digital content, from text to creative assets, as AI capabilities advance. This course may be useful for an AI Content Creator, as it introduces how to integrate Large Language Models like DeepSeek into workflows for "content generation." You will explore "designing workflows that combine traditional automation logic with generative AI capabilities," enabling dynamic content creation tailored to specific needs. This foundational understanding of orchestrating AI for automated content processes allows you to explore innovative methods for producing and distributing content efficiently and at scale.
Technical Support Automation Tools
A Technical Support Automation Tools professional provides expert assistance and troubleshooting for users of automation platforms and intelligent agent systems, vital for ensuring smooth operation and user adoption. This course may be useful for a Technical Support Automation Tools professional. The "Error Handling, and Deployment" module specifically covers "techniques for logging, monitoring, and testing workflows to ensure operational resilience," which are essential skills for diagnosing and resolving issues effectively. Understanding the architecture of n8n workflows and how DeepSeek integrates allows for more effective technical guidance and problem-solving, making you a more proficient and insightful support provider for complex automation challenges.
Knowledge Management Analyst
A Knowledge Management Analyst focuses on identifying, organizing, storing, and disseminating information within an organization to improve efficiency and decision-making, ensuring valuable insights are accessible and utilized. This course may be useful for a Knowledge Management Analyst because it teaches how to "extract insights from PDFs and emails, classify them using AI, and organize outputs in Google Sheets." This direct experience in automating the collection, classification, and structuring of information is highly relevant. The ability to build intelligent agents that can process and categorize data efficiently helps to streamline the creation and maintenance of organizational knowledge bases, enhancing overall information governance.

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 Build Intelligent Agents Using DeepSeek & N8N .
This comprehensive textbook provides a broad overview of artificial intelligence, including chapters on intelligent agents, natural language processing, machine learning, and computer vision. It is written in a clear and accessible style, and is suitable for both undergraduate and graduate students.
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.
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.
Focuses specifically on web scraping, a key method for extracting data from websites. It covers various Python libraries and techniques for gathering and processing web data. It's a practical guide for those interested in extracting data from online sources and is suitable for beginners and those looking to deepen their web scraping skills.
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.
Provides a practical, hands-on approach to understanding and implementing Transformer models, which are the core architecture behind most large language models, including DeepSeek. Co-authored by Hugging Face engineers, it's highly relevant for anyone looking to work with or understand the technical underpinnings of modern LLMs. The revised edition valuable and up-to-date resource.
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.
Offers a unique perspective by guiding the reader through the process of building an LLM from the ground up. This hands-on approach provides a deep understanding of the internal workings of these models, which is highly relevant to comprehending how DeepSeek is built and trained.
While not solely focused on extraction, this book provides foundational knowledge on data systems, including how data is stored, processed, and moved. Understanding these concepts is crucial for anyone involved in designing and implementing efficient data extraction processes, especially at scale. It's considered a must-read for data professionals.
Provides a comprehensive overview of the algorithmic, game-theoretic, and logical foundations of multi-agent systems. It is written in a clear and accessible style, and is suitable for both undergraduate and graduate students.
Offers a comprehensive overview of LLMs, covering their theoretical foundations, practical applications, and future directions.
Focused specifically on Zapier, a popular no-code automation tool, this book dives into practical workflow automation and the integration of generative AI. It's highly relevant for those wanting to deepen their understanding of a specific platform and contemporary no-code applications. is valuable for undergraduate students and professionals aiming to implement no-code solutions.
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.
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 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.
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.
Offers a comprehensive exploration of Transformer architectures specifically for machine learning tasks. It delves into various Transformer models and their applications beyond just NLP, providing a deeper technical understanding of this crucial architecture.
While focused on Microsoft Power Platform, this book provides a strong understanding of implementing no-code/low-code solutions for digital transformation, including automation and AI. It's highly relevant for professionals working with or planning to use the Power Platform. It offers strategic guidance and practical implementation details.
Is an excellent resource for understanding how to build applications and automate processes using no-code tools, particularly for entrepreneurial purposes. It covers the basics of data storage, automation, and even AI integration, making it highly relevant for gaining practical skills. It is well-suited for undergraduate students and professionals looking to build their own solutions.
A widely recognized and comprehensive textbook covering the fundamentals of Natural Language Processing (NLP). Understanding NLP is crucial for comprehending how models like DeepSeek process and generate human language. provides a strong theoretical foundation and is often used in both undergraduate and graduate NLP courses.
This recent book delves into the practical aspects of building AI agents using LLMs. Given the course context mentioning AI Agents, this book is highly relevant for understanding how models like DeepSeek can be used to create autonomous and intelligent systems.
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.
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.
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.
Covers techniques for mining large datasets, which often involves significant data extraction and processing challenges. It delves into algorithms and methods for handling massive amounts of data, relevant for those working with big data.
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.
Focuses specifically on Transformer architectures and their applications in NLP. It covers various Transformer models and provides practical guidance on using them. It's a good resource for understanding the specific architecture that makes LLMs powerful.
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.
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.
SQL fundamental language for extracting data from relational databases. focuses on using SQL for data analysis, including techniques for transforming and preparing data. It's valuable for anyone who needs to extract and work with data stored in databases.
Another recent publication focusing on the design and implementation of AI agents, including multi-agent systems. provides a more in-depth look at the architectural considerations and practical challenges of building agent-based applications powered by LLMs.
Explores building data pipelines for real-time data processing. It is relevant for understanding the challenges and techniques involved in extracting and processing data as it is generated, a key aspect of contemporary data architectures.
Explores the use of low-code and no-code approaches for building AI and machine learning models. It provides a practical, project-based introduction to a contemporary application of no-code principles. This is valuable for undergraduate and graduate students, as well as professionals looking to apply AI in their work without extensive coding.
For those interested in extracting data from text, this book foundational resource for Natural Language Processing (NLP) using Python's NLTK library. It covers techniques for working with text data, which are essential for extracting information from unstructured text sources.
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.
Provides a broad understanding of the low-code/no-code movement and the rise of citizen developers. It's highly relevant for gaining foundational knowledge in the field, explaining the 'why' behind no-code automation and its potential impact on businesses. It's suitable for high school and undergraduate students, as well as professionals seeking an overview.
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 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.
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.
Data cleaning critical step after data extraction. provides a comprehensive overview of data cleaning techniques, including error detection and repair. It's an essential resource for ensuring the quality and reliability of extracted data.
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This ebook focuses specifically on the power of no-code for workflow automation and how it can transform business processes. It's a practical guide for understanding the benefits and implementation of no-code automation in workflows. Relevant for professionals looking to streamline their work.
Focuses on building applications using LLMs and frameworks like LangChain. It's relevant for understanding how models like DeepSeek can be integrated into practical applications and the ecosystem surrounding them.
This guide offers quick tips and tricks for prompt engineering across different generative AI models, including text and image generation models. It's a practical resource for users who want to improve their immediate results with various AI tools. It's suitable for all levels looking for actionable advice.
Another valuable resource focused on data cleaning, this book provides practical guidance and best practices for preparing data. It is particularly useful for ensuring the quality of data obtained through extraction.
Provides a solid understanding of the core concepts and techniques in deep learning. It covers various architectures and applications, offering a good foundation for comprehending the technologies behind advanced AI models like DeepSeek. The second edition recent update.
This handbook offers a comprehensive overview of the intersection of business process management and digital transformation, with significant relevance to no-code automation. It covers contemporary trends and research, providing a multidisciplinary perspective. This valuable reference for researchers, graduate students, and professionals seeking in-depth knowledge.

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