AI-Powered Talent Search and Sourcing Tools
Date: 9 Dec 2026
1 day training that equips HR professionals with AI-driven recruitment strategies, ethical practices, and…
Overview
In today’s workplace, automation and AI agents are no longer limited to technical teams. With the rise of no-code platforms like n8n Cloud, everyday professionals can now design automated workflows that save time, reduce errors, and improve consistency—without writing a single line of code. This 2-day practical course builds on the foundation from Generative AI for Daily Work Optimization and takes participants one step further: from prompting an AI model to orchestrating entire workflows that run on their own. Through hands-on projects and guided exercises, learners will explore how AI agents act as the “thinking” part of an automation—connecting data, tools, and decisions into one seamless process. By the end of the program, participants will not only understand how automation works but will also be able to create, test, and deploy their own simple AI-powered workflows for everyday business tasks.
Programme Outline
Module 1: Introduction to non Cloud Platform
Module 2: Vibe Coding Techniques & Best Practices
Module 3: Connecting Tools to AI Agents
Module 4: Mini Capstone – Daily Analyst Brief
Module 5: Memory & RAG Essentials
Module 6: Multi-Agent Workflow Setup in n8n
Module 7: Multi-Agent Workflow Setup in n8n
Module 8: Final Capstone – Deploy & Demo your RAG Chatbot
Learning Objectives & Outcomes
1) Design and deploy AI-powered workflows in n8n Cloud that connect tools, models, and users across multiple channels.
2) Build dynamic agents that retrieve data from internal vector databases, live news feeds, and user profiles—responding based on context, tone, and input complexity.
3) Apply “Vibe Coding” techniques to rapidly prototype, debug, and customise nodes using reasoning-based LLM prompts.
4) Structure and maintain a knowledge base.
5) Configure multi-layer fallback strategies that ensure graceful degradation when content is missing, queries are out of scope, or agent logic fails.
6) Deliver compliant, clear, and non-hallucinated responses that include inline citations, confidence labels, and mandatory disclaimers.
7) Implement concurrent data-aware workflows, such as CRM-integrated agents that personalise messages and escalate when needed.
8) Understand the ethical implications of AI-generated content and the importance of maintaining transparency, disclaimers, and human oversight where applicable.
Who Should Attend
1. Executives and team leaders seeking to improve efficiency and coordination
2. Operations and administrative professionals managing reports and processes
3. Customer service or sales staff automating responses and follow-ups
4. Analysts and content creators processing or summarising data regularly
