LPU - Lovely Professional University
What you'll learn

Course Description Build the next generation of intelligent automation systems with Agentic AI and N8N. This hands-on summer training introduces B.Tech students to AI-powered workflows, autonomous AI agents, API integrations, chatbots, and real-world automation using the low-code platform n8n. Students will learn how to connect AI models with apps, databases, and cloud services to create smart solutions for business, productivity, and innovation. Learning Outcomes By the end of this training, students will be able to: Understand the fundamentals of Agentic AI and intelligent automation Design and build AI-driven workflows using n8n Integrate APIs, databases, and third-party applications into automated systems Develop AI chatbots, assistants, and autonomous task agents Automate real-world processes such as notifications, data handling, and reporting Deploy practical AI automation projects for industry-oriented applications

  • Introduction to Agentic AI and Workflow Automation
  • N8N architecture and deployment models as cloud and self-hosted environments. N8N interface for canvas, nodes, and workflow management. Node connection patterns and workflow logic. Data flow mechanics and execution order. Trigger nodes as manual, schedule, and webhook triggers. Core nodes as Set, IF, Switch, Merge, and Edit Fields. HTTP Request node for API communication. Authentication mechanisms as API Key and Bearer Token. JSON fundamentals and data transformation using expressions. Multi-application integration. Introduction to databases and file handling workflows.
  • Designing practical automation workflows for daily and business tasks. Email and notification automation. Spreadsheet and form integrations. Social media and productivity automation. AI-powered document processing workflows. Data collection and transformation pipelines. Workflow testing and debugging methods. Workflow reliability concepts. Error handling basics using Error Trigger node. Retry logic and fallback actions. Monitoring workflow execution and performance. Creating reusable workflow templates for multiple use cases.
  • Introduction to AI service orchestration and integration. AI platforms such as OpenAI, Google AI, and Anthropic. Using AI APIs in workflows. Prompt engineering fundamentals. Prompt templates and structured prompting techniques. AI workflows for text summarization, sentiment analysis, classification, and chatbot creation. AI-based document understanding for OCR, invoice extraction, and PDF parsing. AI-driven routing and decision making. Cost optimization and token management basics for AI services.
  • Fundamentals of intelligent agents and autonomous systems. Types of agents as assistive and augmented agents. Agent characteristics including autonomy, reactivity, and goal-oriented behavior. Introduction to AI Agent nodes and agent workflows. Tool usage and function calling concepts. Memory systems for maintaining conversation and context. Designing task-specific agents such as research assistants, customer support bots, and productivity agents. Comparison between workflows and AI agents. Agent workflow design patterns and basic agent error management.
  • Credential and API key management. Environment variables and secrets handling. Safe data practices and privacy considerations. Introduction to OAuth2 and secure integrations. Workflow documentation and versioning. Performance monitoring and optimization techniques. Workflow deployment and sharing. Audit logs and execution history analysis. Industry use cases and future trends in Agentic AI. Mini-project development using AI-powered automation workflows. Final capstone project integrating AI agents, APIs, and automation for real-world applications.
  • Introduction to Artificial Intelligence and Intelligent Automation. Evolution of AI-powered workflows. Concepts of Agentic AI and autonomous systems. No-code and low-code development environments. Introduction to n8n and workflow automation platforms. Real-world applications across engineering, management, healthcare, commerce, and research domains. Understanding APIs and cloud services. Basic workflow design concepts. Creating first automation workflows using triggers and actions. Introduction to AI assistants and productivity automation tools.
  • N8N architecture and deployment models as cloud and self-hosted environments. N8N interface for canvas, nodes, and workflow management. Node connection patterns and workflow logic. Data flow mechanics and execution order. Trigger nodes as manual, schedule, and webhook triggers. Core nodes as Set, IF, Switch, Merge, and Edit Fields. HTTP Request node for API communication. Authentication mechanisms as API Key and Bearer Token. JSON fundamentals and data transformation using expressions. Multi-application integration. Introduction to databases and file handling workflows.
  • Designing practical automation workflows for daily and business tasks. Email and notification automation. Spreadsheet and form integrations. Social media and productivity automation. AI-powered document processing workflows. Data collection and transformation pipelines. Workflow testing and debugging methods. Workflow reliability concepts. Error handling basics using Error Trigger node. Retry logic and fallback actions. Monitoring workflow execution and performance. Creating reusable workflow templates for multiple use cases.
  • Introduction to AI service orchestration and integration. AI platforms such as OpenAI, Google AI, and Anthropic. Using AI APIs in workflows. Prompt engineering fundamentals. Prompt templates and structured prompting techniques. AI workflows for text summarization, sentiment analysis, classification, and chatbot creation. AI-based document understanding for OCR, invoice extraction, and PDF parsing. AI-driven routing and decision making. Cost optimization and token management basics for AI services.
  • Fundamentals of intelligent agents and autonomous systems. Types of agents as assistive and augmented agents. Agent characteristics including autonomy, reactivity, and goal-oriented behavior. Introduction to AI Agent nodes and agent workflows. Tool usage and function calling concepts. Memory systems for maintaining conversation and context. Designing task-specific agents such as research assistants, customer support bots, and productivity agents. Comparison between workflows and AI agents. Agent workflow design patterns and basic agent error management.
  • Credential and API key management. Environment variables and secrets handling. Safe data practices and privacy considerations. Introduction to OAuth2 and secure integrations. Workflow documentation and versioning. Performance monitoring and optimization techniques. Workflow deployment and sharing. Audit logs and execution history analysis. Industry use cases and future trends in Agentic AI. Mini-project development using AI-powered automation workflows. Final capstone project integrating AI agents, APIs, and automation for real-world applications.

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Vaibhav Chadha
Assistant Professor

Vaibhav Chadha is an Assistant Professor at Lovely Professional University specializing in AI, automation, simulation, and machine learning systems. With experience in defence simulation and digital twin projects, he has conducted workshops at leading institutions on AI tools, Prompt Engineering, and workflow automation using n8n, focusing on industry-oriented, hands-on learning.


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Dr. Ishan Kumar
Assistant Professor

Assistant Professor in Computer Science and Engineering. Passionate about workflow automation, AI integration, and no-code/low-code technologies for improving productivity and digital transformation. Research and technical interests include Artificial Intelligence, Machine Learning, Data Science, NLP and intelligent automation systems. Actively involved in conducting technical sessions, workshops, and industry-oriented training programs for students and professionals. Dedicated to bridging the gap between academics and industry through practical, innovation-driven learning.