Build AI Powered Workflows and Agents Using n8n is a practical, instructor-led program designed to help professionals design, build, and deploy AI-driven automations without the need for deep coding expertise. As organizations increasingly adopt Generative AI to enhance efficiency and customer experience, this course equips learners with the skills to turn AI capabilities into working, scalable workflows.
Generative AI tools such as ChatGPT, Claude, Gemini, and Hugging Face have transformed how content is created and decisions are supported. However, real business value is unlocked when these tools are orchestrated into automated workflows that connect data, applications, and actions. This course bridges that gap by combining AI fundamentals with hands-on automation using n8n, a powerful open-source no-code and low-code automation platform.
Over two days, participants progress from understanding AI and automation concepts to building real-world AI-powered workflows and agents. The program balances conceptual clarity with practical implementation, ensuring learners can confidently apply what they learn in their own organizations.
Training Duration: 2 Days
- Certificate Of Completion Available
- Group Private Class
- VILT Class Available
- HRD Corp SBL-Khas Claimable
Artificial Intelligence (AI) is rapidly transforming the way organizations work, enabling automation, enhanced decision-making, and personalized customer experiences. Generative AI (GenAI) — such as ChatGPT, Claude, Gemini, and Hugging Face models — has opened new opportunities for businesses to leverage natural language processing, content creation, and intelligent agents without requiring deep coding expertise.
This course introduces participants to AI and GenAI fundamentals before exploring n8n, a powerful open-source automation tool. Participants will learn how to design, build, and deploy AI-powered workflows and agents using n8n’s no-code/low-code platform, integrating tools like OpenAI, Hugging Face, Slack, Google Workspace, and CRMs.
The program combines theory, hands-on practice, and a capstone project, preparing learners to confidently apply AI-driven automations in their organizations.