The Agentic AI Accelerator: No-Code Autonomous Agents & MCP Infrastructure
Duration
2 Days
Level
Intermediate Level
Design and Tailor this course
As per your team needs
Overview
This 16-hour practical accelerator program introduces Agentic AI in a business-friendly, no-code environment. Participants learn how autonomous AI agents reason, plan, retain context, use tools, and execute workflows using modern AI platforms without writing code.
The program emphasizes applied automation, marketing use cases, and real-world orchestration using n8n and ChatGPT Custom GPTs. It also introduces the Model Context Protocol (MCP) as foundational infrastructure for scalable, interoperable agent systems.
By the end of the course, participants will be able to design, deploy, and manage intelligent automation agents that enhance marketing, operations, and business workflows.
Audience
This course is designed for:
● Marketing Professionals seeking AI automation
● Business Operations Managers
● Startup Founders & Entrepreneurs
● Product Managers
● Digital Automation Specialists
● No-Code Developers
● Innovation & Transformation Leaders
Prerequisites
To benefit from this course, participants should have:
● No coding knowledge required
● Basic understanding of Agentic AI and LLM concepts
● Familiarity with ChatGPT prompting fundamentals
● Laptop with internet access (Chrome recommended)
● Active accounts on n8n and ChatGPT Plus (for Custom GPTs)
Curriculum
Introduction to Agentic AI
- Evolution from traditional AI to autonomous agents
- AI vs LLM vs Agentic AI
- Why AI agents represent the next phase of AI evolution
- Real-world examples:
○ Research assistants
○ Customer support automation
○ Marketing automation agents - Single-agent vs multi-agent systems
Architecture discussion:
- Centralized AI assistant vs distributed agent networks
- Business impact of autonomous systems
Interactive activity:
- Analyze real-world agent workflows
Core Components of AI Agents
- Memory: Context retention and session continuity
- Planning: Multi-step reasoning and execution logic
- Tool Usage: Integrating external systems and APIs
- Autonomy: Decision-making without constant human intervention
- Human-in-the-loop design patterns
Hands-on:
- Design agent blueprint for marketing workflow
- Map memory, planning, and tool components
Building No-Code AI Agents with n8n
- Introduction to n8n workflow automation
- Connecting ChatGPT to n8n
- Designing trigger-based workflows
- Creating collaborative multi-agent setups
- Implementing conditional logic and branching
- Managing workflow state
Hands-on:
- Build automated content generation workflow
- Connect AI outputs to publishing pipelines
Marketing & Content Automation Use Cases
- AI-driven LinkedIn content agent
- Automated video ad creation workflow
- AI mockup and design automation
- Viral content generation agents (using research tools)
- Product image to marketing ad automation
- Social media publishing automation with n8n
Hands-on focus:
- Participants design and deploy multiple working AI automation agents.
Architecture discussion:
- Scaling content automation responsibly
- Avoiding automation overload and quality degradation
Model Context Protocol (MCP) Fundamentals
- Introduction to Model Context Protocol
- Why MCP matters for scalable agent systems
- MCP architecture overview
- Converting AI assistants into tool-enabled agents
- MCP vs traditional API integrations
Architecture discussion:
- Interoperability challenges in multi-agent ecosystems
- Designing modular agent infrastructure
Advanced MCP Implementation & Multi-Agent Orchestration
- Leveraging MCP within n8n workflows
- Creating a custom MCP server
- Connecting multiple agents via MCP
- Working with verified MCP servers
- WhatsApp AI agent (voice, image, tool-enabled interactions)
- Integrating MCP with automation pipelines
Hands-on:
- Build WhatsApp AI assistant with tool access
- Connect two agents via MCP for collaborative workflow
Participants will:
- Identify a high-impact business workflow
- Design an autonomous or semi-autonomous agent system
- Implement memory, planning, and tool usage
- Integrate MCP for interoperability
- Deploy live workflow using n8n
- Demonstrate business value and automation efficiency
Duration
2 Days
Level
Intermediate Level
Design and Tailor this course
As per your team needs
