Course Overview

This 30-day intensive no-code course equips learners to design, build, and deploy agentic AI systems using platforms like n8n for automation and workflows. Learners will create job-ready projects, culminating in a portfolio-worthy capstone. The course prepares learners for roles like AI Automation Specialist, emphasizing no-code tools for automation, multi-agent systems, and ethical deployment.

Prerequisites:

Familiarity with APIs, internet access.

Format:

Video lectures, n8n workflows, quizzes, assignments.

Tools:

n8n, Zapier (alternatives), OpenAI/Hugging Face APIs (free tiers).

Outcomes:

Build and deploy agentic AI systems, create a workflow portfolio, earn a digital certificate.

Daily Schedule

Day 1: Introduction to Agentic AI

• Define agentic AI; reactive vs deliberative agents; use cases
• Setup: Install n8n
• Create an n8n workflow to trigger LLM response
• Quiz (5 questions)

Day 2: Agent Architectures

• Agent components; BDI model
• Build n8n workflow for weather API calls
• Share workflow submission

Day 3: No-Code Tools

• Explore n8n, Zapier, prompt engineering
• Build web summarization workflow
• Share workflow

Day 4: Building a Simple Agent

• Design single agent with decomposition
• Create email automation workflow
• Test with 3 scenarios

Day 5: Prompt Engineering

• Advanced prompting in no-code
• Enhance Day 4 workflow
• Share updated workflow

Day 6: Reasoning in Agents

• ReAct framework in no-code
• Build task planning workflow
• Quiz on ReAct

Day 7: Memory Systems

• Implement memory with database nodes
• Add memory to workflow
• Share workflow

Day 8: Error Handling

• Handle workflow failures
• Stress-test workflow
• Submit test report

Day 9: Multi-Agent Systems Introduction

• Agent swarms in no-code
• Simulate collaborating workflows
• Quiz on concepts

Day 10: Building Multi-Agent Systems

• Design multi-agent workflow
• Create researcher/analyzer workflow
• Share workflow

Day 11: Advanced Collaboration

• Hierarchical systems
• Extend workflow with reporting
• Share updated workflow

Day 12: API Integration

• Connect workflows to APIs
• Build trip planning workflow
• Test with 2 scenarios

Day 13: Multimodal Agents

• Handle images with APIs
• Create image description workflow
• Share workflow

Day 14: Fine-Tuning LLMs

• Integrate fine-tuned models
• Use Hugging Face model in workflow
• Submit output

Day 15: Ethical Design

• Bias and privacy in workflows
• Audit workflow
• Submit report

Day 16: Safety & Compliance

• Safety practices and EU AI Act overview
• Propose safety features
• Submit short essay

Day 17–20: Deployment & Optimization

• Deploy workflows to n8n cloud
• Add monitoring and logging
• Optimize performance and reduce costs
• Share live URLs and reports

Day 21–28: Capstone Project

• Plan, design, and build custom agent system
• Integrate APIs and memory
• Test and deploy to cloud
• Document workflow and record demo presentation

Day 29: Career Preparation

• Build resume with projects
• Draft LinkedIn-ready portfolio

Day 30: Wrap-Up & Certification

• Final presentation
• Course review
• Certificate issuance

Additional Notes

• Weekly office hours and community forum support
• Feedback within 48 hours
• Free course; optional $49 certificate
• n8n workflow portfolio for job applications
• Resume tips and mock interviews for job readiness