Course Overview
This practical course equips participants to use Gemini for workplace productivity, document preparation, information analysis, communication, meeting support and structured project work. It also introduces AI governance principles to ensure Gemini is used securely, responsibly and consistently within organisational policies and approval requirements.
Duration
2 DaysOptional Day 3: Departmental Use-Case and Governance Workshop
Training Level
Beginner to Intermediate
Target Audience
Managers, executives, engineers, project teams, administrative personnel, HR, finance, procurement, legal, communications, operations, governance, risk, compliance and digital-technology teams.
Pre-requisites
- Basic computer and internet skills
- Basic familiarity with workplace productivity applications
- Access to an approved Gemini account
- Approved or sanitised documents and datasets for exercises
- Awareness of applicable organisational information-handling policies
Course Objectives
Participants will learn to:
- Understand generative AI and Gemini capabilities.
- Write effective and structured prompts.
- Use Gemini for documents, meetings, analysis and presentations.
- Develop reusable prompts and Gems.
- Identify hallucinations, bias and unsupported claims.
- Apply information-classification, privacy and cybersecurity requirements.
- Understand AI governance roles, controls and approval processes.
- Identify and prioritise safe, high-value Gemini use cases.
- Establish human-review and accountability checkpoints.
- Develop a controlled departmental Gemini adoption plan.
Module 1: Generative AI and Gemini Fundamentals
- How generative AI works
- Gemini capabilities and limitations
- Suitable workplace applications
- Human responsibility in AI-assisted work
Module 2: Effective Prompt Engineering
- Defining task, context, audience and objective
- Setting constraints and output formats
- Providing approved source information
- Refining prompts and improving weak outputs
Module 3: Research and Document Analysis
- Summarising reports and long documents
- Comparing documents and identifying differences
- Extracting key issues, decisions and recommendations
- Preparing executive briefs and structured research notes
Module 4: Workplace Writing and Meeting Support
- Drafting professional emails and correspondence
- Preparing reports and management briefs
- Producing meeting minutes
- Extracting action items, owners and deadlines
Module 5: Responsible and Secure Gemini Use
- Hallucinations, bias and incomplete outputs
- Fact-checking and source validation
- Privacy and confidential information
- Information-classification requirements
- Human review and escalation procedures
Module 6: Gemini-Assisted Analysis in Google Sheets
- Preparing approved data for analysis
- Identifying trends, patterns and inconsistencies
- Developing formulas and analysis structures
- Creating risk registers and management summaries
- Validating calculations and interpretations
Module 7: Reports, Project Documents and Presentations
- Preparing structured reports and project documents
- Developing presentation storylines
- Creating slide outlines and key messages
- Preparing speaker notes and management summaries
Module 8: Reusable Prompts and Gems
- Identifying recurring workplace tasks
- Creating reusable prompt templates
- Defining Gem roles, instructions and output formats
- Adding data-handling and review requirements
- Testing, reviewing and maintaining Gems
Module 9: AI Governance for Gemini
- Acceptable and prohibited uses
- Governance roles and responsibilities
- Data classification and access controls
- Human-in-the-loop review requirements
- Approval controls for sensitive or external outputs
- Documentation and audit-trail requirements
- Ownership and version control for prompts and Gems
- Managing errors, incidents and inappropriate outputs
- Periodic review of Gemini use cases
- Training, awareness and user accountability
Module 10: Use-Case Risk and Governance Assessment
- Identifying departmental Gemini opportunities
- Mapping inputs, outputs, owners and reviewers
- Assessing business value and implementation feasibility
- Assessing privacy, security and operational risks
- Classifying use cases by risk level
- Defining approval and monitoring requirements
- Selecting suitable controlled pilot use cases
Module 11: Capstone Activity
Participants complete a governed Gemini productivity workflow that may include:
- Structured Gemini prompt
- Document summary
- Executive brief
- Meeting action tracker
- Data-analysis summary
- Risk register
- Presentation outline
- Reusable Gem
- Human-review checklist
- Governance and approval workflow
Optional Day 3: Departmental Use-Case and Governance Workshop
- Map a real departmental workflow.
- Develop department-specific Gemini prompts and Gems.
- Conduct a value, risk and feasibility assessment.
- Define data-classification and access requirements.
- Establish reviewer, approver and owner responsibilities.
- Develop an AI use-case register.
- Prepare monitoring and incident-escalation procedures.
- Develop a controlled pilot and adoption plan.
Expected Learning Outcomes
By the end of the course, participants will be able to use Gemini to improve workplace productivity while applying appropriate governance, privacy, security, verification and human-review controls. Participants will also be able to evaluate departmental use cases, establish accountability and propose controlled Gemini adoption initiatives.
The outline incorporates the practical AI foundation, structured prompting, human-review controls, workflow governance and capstone approach reflected in the supplied course materials.
Proposed trainer.
Axl Low is an experienced AI Engineering and Generative AI trainer with a strong enterprise IT technical background. He has worked as an IT Technical Consultant since 2017, supporting technical training delivery, courseware development, learning consultation, certification programmes and customised training projects for international clients. His technical foundation includes:
- Cloud computing
- Data centre infrastructure
- Networking and software-defined networking
- Servers and enterprise storage
- Virtualisation and containers
- Network Functions Virtualisation
- Automation and orchestration
- Big data and IoT
- Artificial intelligence and machine learning
He holds professional qualifications and trainer credentials from Microsoft, AWS, Huawei and CompTIA, including Microsoft Certified Trainer, AWS Authorised Instructor and CompTIA Certified Technical Trainer. He received the Huawei Global Excellent Trainer Award in 2019 and 2020 and was nominated as a Huawei Excellent Trainer for six consecutive years from 2019 to 2024. Since 2023, he has focused extensively on the evolution of Generative AI, including:
- Prompt engineering
- Context engineering
- Harness engineering
- AI workflow design
- AI automation
- Generative AI
- Agentic AI
- Responsible AI
- AI governance
He is proficient in delivering practical training across major LLM platforms, including:
- Gemini
- ChatGPT
- Claude AI
- Microsoft Copilot
- DeepSeek , and many more.
His AI training portfolio includes:
- AI in Action for Manufacturing
- AI Launchpad
- AI Workflow
- AI Automation
- AI for Human Resources
- AI for Finance
- AI for Purchasing
- AI for Business Owners
- AI for Governance
- AI Governance
- Responsible AI and AI Responsibility
His combination of strong IT engineering knowledge and practical AI delivery experience enables him to guide both technical and non-technical participants from basic AI adoption to secure, structured and measurable AI-enabled workflows.
*Certificate of Completion will be provided to participants who complete the training.
Programme scope, delivery arrangements and suitability are confirmed during enquiry.