Complete AI Automation And Agentic AI Bootcamp With n8n

Complete AI Automation and Agentic AI Bootcamp with n8n

Complete AI Automation and Agentic AI Bootcamp with n8n is a hands-on course focused on building AI-driven automation and agentic workflows using the n8n automation platform. The course is designed to help learners move beyond simple task automation and into intelligent systems that can analyze inputs, make decisions, and execute actions autonomously.

Rather than focusing on theory, this bootcamp emphasizes real-world automation scenarios, showing how n8n can be combined with Large Language Models (LLMs), APIs, databases, and external applications to create production-ready AI workflows.

Course Snapshot

• Instructor: Krish Naik

• Students Enrolled: 4,272

• Rating: 4.5 / 5

• Content Length: ~20 hours

• Skill Level: Beginner to Intermediate

• Language: English (Auto captions)

• Certification: Certificate of completion included

• Access: Full lifetime access (mobile & TV supported)

What This Course Actually Covers

This course walks learners through the end-to-end process of building AI-powered automation systems using n8n. It starts with workflow fundamentals and gradually introduces agentic AI concepts, where workflows can reason, decide, and act without constant human input.

The focus is on practical automation, showing how AI models can be embedded into workflows to handle real business tasks such as data processing, decision-making, and system orchestration.

Learn Agentic AI – Build Multi-Agent Automation Workflows

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Skills & Concepts You’ll Work With

AI Automation with n8n

• Designing automation workflows using n8n’s visual interface

• Connecting triggers, actions, conditions, and data transformations

• Building reusable and scalable automation pipelines

Agentic AI Systems

• Creating AI agents that can analyze context and make decisions

• Designing workflows where agents execute multi-step tasks autonomously

• Understanding the difference between scripted automation and agentic behavior

LLM Integration

• Integrating Large Language Models into n8n workflows

• Using prompts and tools to guide intelligent actions

• Applying LLMs for reasoning, summarization, classification, and decision support

API, Database, and App Integrations

• Connecting n8n with external APIs and services

• Working with databases and structured data inside workflows

• Building end-to-end pipelines across multiple tools and platforms

Deployment & Scaling

• Preparing AI workflows for real-world usage

• Monitoring workflow performance and behavior

• Designing automation systems that can scale reliably

Who This Course Is Best Suited For

• Professionals interested in AI-powered automation

• Developers and analysts exploring agentic AI workflows

• Automation engineers and no-code / low-code builders

• AI practitioners looking to operationalize LLMs

• Anyone curious about building intelligent systems with n8n

Common Questions Learners Ask

Do I need prior AI experience?
Basic familiarity with AI or LLMs is helpful, but beginners can still follow along.

Is this course code-heavy?
No. The course primarily uses n8n’s visual workflow system, with minimal coding.

Does it cover real-world use cases?
Yes. The course focuses on practical automation scenarios rather than abstract examples.

Can these workflows be used in production?
Yes. Deployment, monitoring, and scaling are part of the learning objectives.

Practical Value

The key strength of this course is its focus on applied AI automation. Learners don’t just learn what agentic AI is—they build workflows that combine automation logic with intelligent decision-making, reflecting how modern businesses are starting to use AI systems.

By using n8n as the core platform, the skills learned are transferable to many automation and orchestration environments.

Final Thoughts

If you’re looking to understand how AI automation and agentic systems work in practice, this bootcamp provides a structured and hands-on introduction. It’s especially useful for learners who want to connect AI models with real workflows and deploy intelligent automation in real-world settings.