AI Workflow Automation Training for Teams (2026)
Take your team beyond AI prompting. This corporate programme teaches staff to build AI agents, automate real business workflows, and deploy agentic AI — with hands-on labs tailored to your industry.
Why your team needs this training
Most teams have learned to prompt AI tools. The next step is connecting those tools into automated workflows that handle real business processes end to end. That is what this programme delivers.
From prompting to production
Your team already knows how to ask ChatGPT or Claude a question. This training teaches them to chain AI tools together into workflows that run without manual intervention — from data extraction to report generation to customer follow-ups.
Agentic AI for business
AI agents can plan, decide, and execute multi-step tasks on their own. Your team will learn to build agents that research, draft, review, and act — turning hours of manual work into minutes of supervised automation.
Tailored to your industry
The core curriculum covers universal AI automation patterns. But the examples, case studies, and hands-on exercises are customised for your sector — so your team builds automations they can actually use at work.
Training overview
Programme: Generative AI Workflow Automation Training (Corporate Level 2)
Duration: 17 hours
Format: Online (live virtual) or in-person · Flexible schedule
Modules: 4 modules covering local LLMs, MCP, AI agents, and autonomous agents
Includes: Agentic AI · Hands-on labs · Industry customisation
Tools: ChatGPT, Gemini, Copilot, Claude, n8n
Funding: SFEC + Absentee Payroll eligible
Provider: Vertical Institute
Curriculum: 4 modules
Each module combines instructor-led teaching with hands-on labs. Your team will build working automations during the programme — not just learn theory.
Running Local LLMs
Learn to run language models locally for privacy-sensitive work. Your team will set up Docker containers, configure Open WebUI, and implement retrieval-augmented generation (RAG) to connect AI with your company's own documents and data.
AI Tools, MCP & Workflow Automation
Connect AI tools into automated business workflows using n8n. Your team will learn to structure AI outputs for reliable processing, integrate multiple AI services, and build end-to-end automations that replace manual, repetitive tasks.
AI Agents & Patterns
Move from single prompts to agent architectures. Your team will learn prompt chaining, routing patterns, and how to build research agents that gather, analyse, and synthesise information across multiple sources automatically.
Autonomous Agents
Build AI agents that plan, execute, and self-correct with minimal supervision. This module covers autonomous agent frameworks, security considerations, and the ethical guardrails your organisation needs before deploying agents at scale.
What your team will build
This is a hands-on programme. Your team will leave with working automations and agent systems — built during the training and ready to adapt for your business.
Automated business workflows
End-to-end AI pipelines built in n8n that handle tasks like document processing, email triage, data extraction, and report generation — triggered automatically, with structured outputs your systems can use.
AI agents for your use cases
Working AI agents that research, draft, review, and act on behalf of your team. Built using prompt chaining and routing patterns, these agents handle multi-step tasks that used to take hours.
Local AI with company data
A private AI environment running on your infrastructure, connected to your documents via RAG. Your team gets AI-powered answers from company knowledge bases — without sending data to external services.
Process integrations
AI connected to your existing tools — CRM, email, project management, databases. Your team will learn to plug AI into the systems they already use, creating seamless automations across your tech stack.
Funding your company can claim
Singapore companies can stack multiple government schemes to significantly reduce training costs. Vertical Institute helps you file the claims.
| Scheme | Who it's for | Amount |
|---|---|---|
| SFEC | Employers (all sizes) | Up to $10,000 per company · up to 90% of out-of-pocket costs |
| Absentee Payroll | Employers | $4.50/hr per trainee · up to $100K/year per organisation |
| Enterprise Innovation Scheme | All businesses | 400% tax deduction OR 20% cash payout on training costs |
Level 1 vs Level 2: which one does your team need?
Not sure if your team should start here? Here is a quick comparison.
| Level 1: Generative AI Training | Level 2: AI Workflow Automation | |
|---|---|---|
| Best for | Teams new to AI tools | Teams already using AI, ready to automate |
| Focus | Prompt engineering, AI fundamentals, everyday tools | AI agents, workflow automation, local LLMs, agentic AI |
| Duration | 21 hours | 17 hours |
| Outcome | Staff confidently use AI tools for daily tasks | Staff build automated workflows and AI agents |
| Funding | SFEC + Absentee Payroll eligible | SFEC + Absentee Payroll eligible |
Teams that are brand new to AI should start with Level 1: Generative AI Training. Many companies train their team on Level 1 first, then follow up with Level 2 once the basics are in place.
Frequently asked questions
AI workflow automation training teaches your team to go beyond basic AI prompting. Staff learn to connect AI tools into automated pipelines, build AI agents that handle multi-step business tasks, run local language models for privacy-sensitive work, and integrate AI into existing operations using tools like n8n, Claude, and ChatGPT.
Not necessarily. Level 2 is designed for teams that already use AI tools confidently — whether through formal training or hands-on experience. If your team is comfortable with ChatGPT, Claude, or Gemini and understands basic prompting, they can start here.
If your team is brand new to AI, we recommend starting with Level 1: Generative AI Training to build a solid foundation.
Agentic AI refers to AI systems that can plan, make decisions, use tools, and complete multi-step tasks with minimal human input. This training covers agentic AI because it represents the next wave of business automation — moving from single-prompt interactions to AI agents that can research, draft, review, and execute entire workflows independently.
SFEC (SkillsFuture Enterprise Credit) provides up to $10,000 per company to offset out-of-pocket training costs by up to 90%. Vertical Institute handles the SFEC claim process for you — they will guide your HR team through the paperwork after the training is confirmed.
Your company needs an active SFEC balance. Check yours on the SkillsFuture portal, or read our SFEC guide for employers.
Yes. The core modules stay the same, but examples, case studies, and hands-on exercises are adapted for your sector. Vertical Institute has customised this programme for finance, healthcare, retail, logistics, marketing, and professional services teams.
During the scoping call, the training team will discuss your workflows and tailor the content to match how your team actually works.
Vertical Institute offers flexible scheduling for corporate groups. The 17-hour programme can be delivered as consecutive full days, half-day sessions spread across multiple weeks, or a weekend intensive. Training can be conducted on-site at your office, at Vertical Institute's facility, or online via live virtual sessions.
n8n is an open-source workflow automation platform that lets teams connect AI tools, APIs, databases, and business applications without writing code. It uses a visual drag-and-drop interface, making it accessible to non-technical staff.
This training uses n8n because it is one of the most practical tools for building AI-powered business automations — from automated email processing to multi-step research workflows.
Teams that complete Level 2 training typically report a 50% reduction in repetitive manual tasks within the first month. Your team will leave with working AI automations they built during the programme — not just theory.
Past corporate clients include GovTech, Singtel, Shopee, ENGIE, and SMU. Outcomes vary by team, but the hands-on format ensures staff can apply what they learn from day one.