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Artificial Intelligence is reshaping how businesses operate – from communication and documentation to decision-making, team collaboration, and process improvement. Claude AI, developed by Anthropic, stands out among AI tools for its nuanced reasoning, long-context understanding, and ability to handle complex business tasks with precision and clarity.
This 2-day intensive programme is purpose-built for working professionals across all industries who want to harness Claude AI as a daily productivity partner. Participants will move from understanding Claude’s capabilities to applying it across real workplace workflows: business writing, reporting, SOPs, data analysis, team collaboration, and an introduction to Claude Code for business automation possibilities.
Every module is designed around hands-on practice. Participants will work on tasks relevant to their own roles and industries throughout the training – ensuring immediate, practical application of every skill learned.
Programme Benefits
By the end of this programme, participants will be able to:
- Master Claude AI Fundamentals
Understand Claude’s capabilities, strengths, and business use cases compared to ChatGPT, Gemini, and Copilot
- Apply the RCTF Framework
Construct precise, work-ready AI prompts using the Role–Context–Task–Format methodology
- Set Up Claude Projects
Organise work by department, client, or initiative with custom instructions and knowledge bases
- Generate Business Artifacts
Create polished deliverables such as reports, tables, and visual content directly within Claude
- Collaborate with Cowork
Manage team projects, shared documents, and collaborative workflows using Claude Cowork
- Produce Real Business Outputs
Draft emails, reports, SOPs, proposals, and department-specific documents using Claude AI
- Hands-On Practicum
Complete an AI-assisted business practicum using tasks from your own role and industry
- Claude Code Awareness
Understand what Claude Code is and identify business tasks suited for future automation
Key Content
Day 1
Time : 9.00am – 5.00pm
Break : 10:15am – 10:30am / 3:15pm – 3:30pm
Lunch : 1.00pm – 2.00pm
- What is Claude AI? - Architecture, strengths, and philosophy vs ChatGPT, Gemini, Copilot
- Claude interface walkthrough - Conversations, document uploads, and memory
- Claude Projects - Setting up dedicated workspaces with custom instructions, knowledge bases, and shared context for different departments, clients, or initiatives
- Claude Artifacts - Generating standalone outputs such as documents, tables, code, and visual content directly within Claude for immediate use
- Business use case landscape - Writing, analysis, summarisation, reporting, communication, Q&A
- Understanding Claude's long-context capability - Why it handles lengthy documents, reports, and policies better
- Limitations and responsible AI use in business contexts - Hallucinations, confidentiality, data sensitivity, ethics
- Setting up Claude.ai - Account, Claude Pro overview, and connecting to workplace workflows
- Tool Comparison Exercise - Submit the same business task to Claude, ChatGPT, and Gemini; compare output quality and depth
- Interface Scavenger Hunt - Locate and test key Claude features including Projects and Artifacts
- Project Setup Exercise - Create a Claude Project for your department or role; configure custom instructions and upload reference documents
- Use Case Mapping - List 3 tasks from your current job role and map them to Claude capabilities
- Explain Claude's capabilities and differentiate it from other AI tools
- Navigate the Claude interface confidently, including Projects and Artifacts
- Set up a Claude Project with custom instructions relevant to your role
- Identify at least 5 high-value business use cases for Claude in your own role
- Apply responsible AI practices within a professional business context
- The RCTF Framework explained - Role, Context, Task, Format
- Why vague prompts produce vague outputs - Common prompting mistakes in the workplace
- Role setting - Instructing Claude to act as a business analyst, HR advisor, operations specialist, or management consultant
- Context depth - Providing background, scope, and constraints for precise outputs
- Task clarity - Structuring requests for analysis, summary, generation, and critique
- Format control - Tables, bullet points, structured reports, email formats, SOP templates
- Iterative prompting - Refining outputs through follow-up instructions
- Prompt chaining - Linking multiple prompts to build complex business deliverables step by step
- RCTF Prompt Builder - Rewrite 3 weak prompts into full RCTF-structured prompts; group comparison and critique
- Business Scenario Prompting - Construct and test prompts for 5 workplace scenarios (executive summary writing, policy drafting, meeting minutes, performance review input, vendor evaluation)
- Prompt Chain Challenge - In pairs, build a 3-step prompt chain to produce a structured business report
- Construct well-structured workplace prompts using the RCTF Framework
- Demonstrate iterative prompting to refine and improve Claude outputs
- Apply prompt chaining to produce multi-step business deliverables
- Evaluate prompt quality and identify areas for improvement
- What is Claude Cowork? - Features, workspace structure, and team collaboration model
- Setting up a Cowork business project - Naming conventions, document organisation, shared context
- Uploading and working with business documents - PDFs, reports, spreadsheets, policies, and reference files
- Shared prompting context - How team members can build on each other's Claude conversations
- Use cases for business teams - Report compilation, collaborative proposal drafting, meeting summaries, project documentation
- Managing multiple business projects simultaneously in Cowork
- Best practices - Prompt documentation, version control awareness, and team workflows
- Cowork Setup Workshop - Set up a shared Cowork project, upload a sample business document, and extract key insights collaboratively
- Team Report Simulation - In groups of 3–4, divide sections of a business report; each drafts their section using Claude, then combines outputs into a unified document
- Business Workflow Design - Each group designs a step-by-step Cowork workflow for one recurring workplace task and presents it
- Set up and structure a Claude Cowork project for a business team
- Upload, organise, and interrogate business documents within a shared workspace
- Demonstrate how Cowork supports collaborative workplace tasks
- Design a basic team workflow using Claude Cowork features
- Why unguarded AI agents are a business risk - real failure examples
- Setting boundaries: what your agent can and cannot do
- Input validation, output review gates, and human-in-the-loop design
- PDPA compliance for AI agents: what personal data your agent can process, store, and share
- Data flow mapping: tracing where employee and customer data moves through your agent workflow
- Consent and disclosure requirements when AI agents interact with external parties
Activity: Add guardrails and PDPA-compliant data handling to your Day 1 agent. Create a data flow map showing compliance checkpoints.
Learning Outcomes:- Configure input validation and output review gates to prevent unreviewed agent actions
- Design a human-in-the-loop escalation pathway for tasks exceeding agent authority
- Identify which personal data categories under PDPA are handled by their agent and apply restrictions
- Create a data flow map showing where compliance checkpoints are needed
Day 2
Time : 9.00am – 5.00pm
Break : 10:15am – 10:30am / 3:15pm – 3:30pm
Lunch : 1.00pm – 2.00pm
- Using Claude for professional email drafting - Internal communications, client correspondence, escalations
- Report and proposal writing - Executive summaries, project proposals, management reports
- SOP and policy document creation - Standard operating procedures, guidelines, checklists
- AI-assisted editing and proofreading - Grammar, clarity, coherence, and professional tone
- Rewriting and paraphrasing for different audiences - Management, clients, regulators, staff
- Department-specific applications:
- HR: Job descriptions, onboarding materials, performance review templates, policy updates
- Manufacturing: SOPs, incident reports, quality checklists, shift handover notes
- Finance: Analysis narratives, budget summaries, audit documentation
- Marketing: Content briefs, campaign copy, strategy summaries
- Operations: Process documentation, vendor communications, logistics summaries
- Data analysis support - Summarising spreadsheet data, identifying trends, generating narrative insights
- Using Claude Artifacts for business outputs - Generating polished documents, tables, visual content, and interactive deliverables directly within Claude for immediate download and sharing
- Professional integrity and ethical AI use - What is acceptable, what crosses the line
- Business Writing Sprint - Select one real workplace document; use RCTF prompting to generate a first draft; peer review and refine
- Executive Summary Challenge - Paste lengthy business report or meeting notes; Claude produces a concise executive summary; evaluate for accuracy and tone
- Artifacts in Action - Generate a business Artifact (formatted report, comparison table, or project brief) and explore how to edit, iterate, and export it
- Department Task Showcase - Each participant selects a department-specific task, builds a prompt, generates output, and shares with the group
- Use Claude to draft key business documents including emails, reports, SOPs, and proposals
- Apply AI-assisted editing to improve clarity and professional tone
- Create and export Claude Artifacts for polished business deliverables
- Generate department-specific outputs tailored to HR, manufacturing, finance, marketing, or operations
- Articulate the ethical boundaries of AI use in professional business contexts
- Individual and group business prompting using RCTF and iterative refinement
- Applying Claude Cowork to a live team business task
- Business writing practicum - Real documents, reports, or communications using own workplace tasks
- Peer sharing - Present one Claude output from your own work and receive group feedback
- What is Claude Code? - Definition, how it works, and how it differs from conversational Claude
- Business automation use cases - Data processing, document formatting, batch report generation, recurring task automation
- No-code vs low-code entry points - How non-technical professionals can engage with Claude Code
- Individual Practicum - Work on your own workplace task using Claude; minimum deliverable: one complete AI-assisted output
- Cowork Team Task - Collaborate on a shared business task in Claude Cowork; each group presents their process and output
- Peer Showcase - Share one output from your practicum; structured feedback on prompt quality and usefulness
- Personal Prompt Library - Document your 5 best prompts for post-training reference
- Claude Code Live Demo - Trainer demonstrates Claude Code performing a business automation task; participants identify use cases
- Independently apply Claude to a real workplace task from start to a usable output
- Demonstrate the full RCTF workflow on your own business task
- Give and receive constructive peer feedback on AI-assisted business outputs
- Explain what Claude Code is and identify at least 3 business tasks suited for automation
- How to test AI agents before going live (sandbox approach)
- Setting KPIs for AI agents: accuracy rate, time saved, error rate, volume handled
- Monitoring agents in production: execution logs, failure alerts, and what to watch for
- PDPA audit trail: ensuring agent logs meet data retention and access requirements
- Iterating prompts and logic based on real output performance
- Building an agent maintenance schedule your team can follow
Activity: Sandbox test your department agent with edge-case inputs. Define KPIs and set up a weekly agent health check routine.
Learning Outcomes:- Execute a structured sandbox test using edge-case inputs before production deployment
- Define at least 4 measurable KPIs for their deployed agent
- Read and interpret n8n execution logs to diagnose failed agent runs
- Establish a weekly agent health check routine and maintenance schedule
- Verify that agent logging practices comply with PDPA data retention requirements
- Each team/participant builds their 30-day AI agent deployment plan
- Template: Agent Deployment Proposal for management approval
- ROI calculation: how to justify AI agent investment to leadership
- Group presentations: pitch your deployment plan to the room
- Q&A, next steps, and ongoing support options
Activity: Build your complete 30-day deployment roadmap. Present your plan to the group and receive peer feedback.
Learning Outcomes:- Produce a complete 30-day deployment roadmap with weekly milestones, owners, and success criteria
- Calculate projected ROI using time saved, error reduction, and cost metrics
- Present their deployment plan with confidence and justify the business case for management approval
- Identify the next 3 agent deployment opportunities beyond their initial build
Who Should Attend
This programme is designed for working professionals across all industries and departments who want to leverage Claude AI to improve daily productivity, communication, and decision-making.
- Managers and team leaders responsible for reporting, planning, and team communication
- HR professionals handling recruitment, policy drafting, onboarding, and employee documentation
- Operations and manufacturing staff managing SOPs, process documentation, quality checklists, and shift reporting
- Finance and accounting professionals preparing analysis summaries, audit documentation, and budget narratives
- Marketing and communications teams producing content, strategy briefs, and campaign materials
- Administrative and executive support staff managing correspondence, meeting summaries, and internal documentation
- Project managers coordinating deliverables, stakeholder updates, and project documentation
- Any professional who writes, analyses, or communicates as part of their daily work
Prerequisites
- No prior AI or technical experience required
- A laptop with internet access
- A Claude AI account (free or Pro) – setup guidance provided before training
METHODOLOGY
Ommtech’s signature 20-50-20-10 delivery model – designed to maximise practical retention over passive learning.
- 20% Conceptual Input Trainer-led explanations, frameworks, and context-setting
- 50% Guided Practice Step-by-step hands-on exercises and structured prompting practice
- 20% Open Practicum Apply skills to your own workplace tasks with trainer coaching
- 10% Reflection & Q&A Group debrief, knowledge consolidation, and open discussion
Available Formats
- In-House Corporate Training
Customised for your organisation – up to 25 participants. Tailored to your industry, department workflows, and specific business documents. Delivered at your premises anywhere in Malaysia. - Public TrainingOpen-enrolment sessions for individual professionals. Check upcoming dates or contact Ommtech to register your interest.
Frequently Asked Questions
What are AI agents and how are they different from chatbots?
AI agents are autonomous workflows that can trigger actions, make decisions, and interact with multiple business tools without constant human input. Unlike chatbots that only respond to conversations, AI agents can monitor emails, classify data, route tasks, generate reports, and execute multi-step processes automatically. This training teaches you to build agents that run your business tasks on autopilot.
Do I need coding or technical experience to attend?
No. This programme is designed specifically for non-technical business professionals. All AI agents are built using n8n, a visual no-code platform where you connect nodes by dragging and dropping. The trainer guides every step, and no programming knowledge is required.
What tools are used in this training?
Participants use n8n (open-source visual workflow automation), ChatGPT via the OpenAI API (for AI reasoning and language processing), Google Workspace (Sheets, Gmail, Drive, Forms), and messaging platforms (WhatsApp, Telegram, Slack/Teams). All tools are selected for accessibility by non-technical users.
Is this training HRD Corp claimable?
Yes. This 2-day AI Agent training is fully HRD Corp claimable. Ommtech Digital Marketing Academy is an HRD Corp-approved training provider. We provide full documentation support and guide your HR team through the e-TRiS claim process.
What will participants actually build during the training?
Participants build at least 2 working AI agents during the training. Day 1 includes an email triage agent that classifies and routes emails automatically. Day 2 includes a department-specific agent customised to participants’ actual workflows – such as HR leave processing, operations reporting, finance invoice handling, or customer service ticket routing.
What is n8n and why is it used in this training?
n8n is an open-source visual workflow automation platform. It allows you to build complex AI agent workflows by connecting nodes (triggers, actions, conditions) without writing code. It integrates with hundreds of business tools including Google Workspace, Slack, email, CRMs, and AI models like ChatGPT. It is used in this training because it is accessible for non-technical users while being powerful enough for production deployment.
How does this training handle data privacy and PDPA compliance?
PDPA compliance is integrated throughout the programme, not treated as a single module. Participants learn data flow mapping, consent requirements when agents interact with external parties, how to restrict personal data categories in agent workflows, and PDPA-compliant logging and audit trail practices. Every hands-on agent build includes compliance checkpoints.
What results can I expect after the training?
Participants leave with at least 2 working AI agents ready for deployment, a 30-day deployment roadmap with ROI justification, and all templates and frameworks needed for continued implementation. Most organisations begin deploying their first agent within the first week after training, with measurable workload reduction visible within 30 days.
Can this training be customised for our industry?
Yes. We conduct a pre-training needs assessment and customise Module 6 (Department-Specific Agent Templates) to your actual business workflows. Whether you are in manufacturing, professional services, retail, healthcare, education, or any other sector, all hands-on exercises use your real processes and data.
What is the difference between this and the n8n Automation Mastery programme?
n8n Automation Mastery focuses on general workflow automation – connecting systems, automating data flows, and building scheduled workflows. AI Agent Deployment goes further by teaching participants to build autonomous AI agents that can reason, classify, decide, and act using ChatGPT as the intelligence layer. Think of n8n Mastery as automation fundamentals, and AI Agent Deployment as adding AI decision-making on top.
How many participants can attend per session?
We recommend up to 20 participants per session for optimal hands-on engagement. For larger teams, we customise with breakout groups and additional facilitators.
What do participants need to bring?
Each participant needs a laptop with internet access. All accounts and tool access (n8n, ChatGPT API) will be set up during Module 3 of the training.
Is this training available online?
Yes. We offer both in-person and online formats. In-person provides the best hands-on experience, but we also deliver effective online sessions via Zoom with screen sharing, breakout rooms, and live implementation support.
Is there a certificate?
Yes. Assessment is practical and project-based throughout both days. Upon successful completion, participants receive an Ommtech Digital Marketing Academy Certificate of Completion – no written examination is required.