Practical AI Training for Teams
AI Training for Teams
What makes this programme different
Customised AI training for corporate teams using ChatGPT, Microsoft Copilot, Claude, Gemini and approved business tools. Practical, role-specific and implementation-focused.
- Customised for your organisation – Training is aligned to your approved platforms, participant roles, workflows and business objectives.
- Practical and hands-on – Participants work with relevant business scenarios, documents and activities rather than only watching demonstrations.
- More than basic prompting – The programme includes platform features, reusable assets, native AI capabilities and connected business workflows.
- Designed for different skill levels – Content and support are adapted to participants’ existing confidence and experience.
- Supported by pre-session setup – Platform access and feature availability are confirmed before practical delivery begins.
- Focused on responsible application – Participants learn how to assess AI outputs, protect sensitive information and apply human judgement.
- Built for continued use – Teams create prompt libraries, workflow templates, Projects, Notebooks, playbooks and other reusable resources.
Participants don’t just learn what to do — they learn how to think.
Overview
AI training is most valuable when employees can connect what they learn to the work they perform every day.
Generic AI demonstrations may create initial excitement, but they often fail to produce sustained behaviour change. Participants return to work uncertain about which tools to use, what information they may share, how to verify outputs or how AI applies to their roles.
The Training Group provides customised, practical AI training for corporate teams, leadership groups and professional departments.
Training can be aligned to platforms such as:
- Microsoft 365 Copilot
- ChatGPT
- Claude
- Gemini
- Google Workspace
- NotebookLM
- Other approved AI-enabled business platforms
The programme is adapted to your organisation’s technology environment, policies, participant skill levels and operational requirements.
Rather than teaching AI as an isolated technology, we help employees understand how it can support research, communication, document management, reporting, analysis, planning, meetings, knowledge work and other role-specific activities.
Training can be delivered as:
- A focused executive briefing
- A half-day or full-day workshop
- A multi-session team programme
- Department-specific training
- An organisation-wide capability programme
- Online, in-person or blended learning
- Training followed by implementation support
This programme is ideal for:
- Corporate teams beginning their AI adoption journey
- Organisations that need to establish a common foundation for AI use
- Businesses that have purchased AI licences but need to improve adoption
- Teams using AI inconsistently or without shared practices
- Leadership groups requiring an informed overview of AI opportunities and risks
- Marketing, operations, finance, administration, HR, research and project teams
- Microsoft 365 organisations requiring practical Copilot training
- Google Workspace organisations exploring Gemini or NotebookLM
- Teams using ChatGPT or Claude for knowledge work
- Organisations that need role-specific use cases rather than generic examples
- Learning and development teams building internal AI capability
It is especially valuable if
- Some employees are confident AI users while others are complete beginners
- Participants have attended introductory webinars but cannot apply the learning
- Employees rely on basic or inconsistent prompts
- Staff do not understand the differences between available AI platforms
- Your organisation needs clearer guidance on appropriate and responsible use
- Employees are not using the full capabilities of approved AI tools
- Teams repeatedly recreate prompts or processes individually
- Existing training has focused on features rather than workflows
- Employees need practical support with research, documents, reporting or analysis
- You want training to produce reusable team resources and measurable application
Typical programme structure
Stage 1 – Requirements and audience assessment
Before finalising the course, we assess:
- Participant roles
- Existing skill levels
- Approved AI platforms
- Licence and access availability
- Business objectives
- Priority tasks and workflows
- Data and governance requirements
- Desired learning outcomes
Stage 2 – Access and setup alignment
For platform-specific training, particularly Microsoft 365 Copilot, a pre-session setup and access process is required.
This helps us confirm:
- Correct participant accounts
- Licence availability
- Available features
- Platform restrictions
- Device access
- Approved sample documents
- IT or security requirements
Stage 3 – Facilitated training
Participants complete demonstrations, guided exercises, group discussions and role-relevant activities.
Training may include:
- Facilitator demonstrations
- Individual practice
- Small-group exercises
- Workplace scenarios
- Prompt improvement activities
- Output evaluation
- Workflow design
- Resource creation
Stage 4 – Reusable asset development
Participants create resources that can be used after training, such as:
- Prompt libraries
- Workflow templates
- Projects
- Notebooks
- Team instructions
- Verification checklists
- Use-case libraries
- Quick-reference guides
Stage 5 – Follow-up and implementation support
Optional follow-up support helps employees apply the training within real work.
This may include:
- Implementation clinics
- Workflow review
- Group coaching
- Additional role-specific sessions
- Asset refinement
- Manager check-ins
- Adoption measurement
Training Options
The final course is customised to your audience and objectives. The following options can be delivered independently or combined into a broader programme.
AI Foundations for Business
A practical introduction for employees who need to understand what generative AI can and cannot do.
Topics may include:
- How generative AI works in practical business terms
- Capabilities and limitations
- Appropriate business use
- Comparing different AI platforms
- Prompting foundations
- Research and document support
- Verification and critical evaluation
- Confidentiality and responsible use
- Identifying relevant workplace use cases
AI for Executives and Decision-Makers
A strategic briefing for leadership teams responsible for guiding AI adoption.
Topics may include:
- The current business role of AI
- Opportunities and limitations
- Platform and investment considerations
- Adoption risks
- Governance and accountability
- Workforce capability requirements
- Workflow prioritisation
- Measuring adoption and business value
- Leadership’s role in responsible implementation
Microsoft 365 Copilot for Teams
Practical capability development for organisations using Microsoft 365 and Copilot.
Training is adapted to licence availability and may cover appropriate AI-supported work across:
- Outlook
- Word
- Excel
- PowerPoint
- Teams
- Microsoft 365 chat experiences
- Shared organisational resources
- Approved agents or reusable tools
A pre-session setup and access check is required to ensure that participants have the appropriate licences and features.
ChatGPT for Business
Practical training for teams using ChatGPT as an approved business productivity and knowledge-work platform.
Topics may include:
- Effective prompting
- Projects and reusable workspaces
- Research and document workflows
- Data and information analysis
- Content and communication support
- Reusable instructions and prompt assets
- Purpose-specific assistants
- Verification and responsible use
Specific features are aligned to the organisation’s approved account type and access.
Claude for Knowledge Work
Practical training for teams using Claude for research, analysis, document-based tasks, structured thinking and other knowledge-heavy work.
Topics may include:
- Working with lengthy information
- Document review and synthesis
- Structured research
- Reporting and recommendations
- Creating reusable project contexts
- Improving written communication
- Evaluating and refining outputs
- Connecting AI use to repeatable workflows
Gemini and Google Workspace for Teams
Training for organisations using Google Workspace and approved Google AI capabilities.
Depending on platform access, the programme may include:
- Research and information synthesis
- Document and email support
- Meeting preparation and follow-up
- Spreadsheet and reporting assistance
- Presentations
- Knowledge collections
- NotebookLM-supported research and document engagement
- Reusable team workflows
AI for Marketing Teams
Practical AI capability for marketing professionals and brand teams.
Topics may include:
- Marketing research
- Audience and competitor analysis
- Strategy development
- Campaign planning
- Content briefing and creation
- Brand consistency
- SEO and answer-engine visibility
- Performance analysis
- Reporting and recommendations
- Reusable marketing prompts and workflow templates
AI for Administration and Knowledge Work
Designed for employees responsible for documents, communication, research, reporting, coordination and information management.
Topics may include:
- Email and correspondence
- Document drafting and review
- Meeting preparation
- Minutes and action lists
- Research and synthesis
- Reporting
- Knowledge organisation
- Policy and procedure support
- Task planning
- Reusable administrative workflows
AI for Operations and Project Teams
Practical training for employees responsible for delivery, coordination, workflows and operational decision-making.
Topics may include:
- Project planning
- Risk identification
- Status reporting
- Meeting and action management
- Process documentation
- Standard operating procedures
- Issue analysis
- Supplier or stakeholder communication
- Workflow improvement
- Reusable project resources
Our four-layer AI training framework
Layer 1 – Prompting skills
Participants learn how to provide context, define objectives, structure instructions, request suitable output formats and refine AI responses.
Layer 2 – Full platform capabilities
Participants learn to move beyond basic chat and use relevant Projects, Notebooks, research tools, personalisation, shared resources, reusable instructions and approved assistants.
Layer 3 – Native AI within business systems
Participants explore how AI capabilities within approved workplace platforms can support existing tasks and responsibilities.
Layer 4 – Connected business workflows
Participants combine skills and tools to improve complete workflows rather than performing isolated AI tasks.
Throughout these layers, participants create reusable and shareable AI assets that improve consistency and reduce repeated effort.
What participants will walk away with
By the end of the agreed programme, participants will be better equipped to:
- Understand the capabilities and limitations of generative AI
- Select appropriate AI tools for different types of work
- Write clearer, more effective prompts and instructions
- Use relevant advanced platform capabilities
- Apply AI to role-specific tasks and workflows
- Evaluate outputs critically
- Protect sensitive or confidential information
- Use human judgement appropriately
- Create reusable prompts, templates and resources
- Work more consistently across teams
- Identify further opportunities for responsible AI-supported productivity
Participants may also receive:
- A course workbook
- Prompting framework
- Practical exercises
- Role-specific examples
- Reusable prompt templates
- Workflow planning tools
- Verification checklist
- Team AI playbook
- Post-session resources
Final deliverables depend on the agreed scope.
How this benefits organisations
For organisations, practical AI training can help to:
- Establish a consistent foundation for AI use
- Improve employee confidence and capability
- Increase adoption of approved platforms
- Reduce fragmented or inappropriate tool use
- Improve the quality of AI-supported work
- Create shared resources and repeatable practices
- Support productivity across knowledge-heavy activities
- Identify workflow opportunities
- Address concerns about accuracy and responsible use
- Improve return on existing technology investments
- Build internal capability rather than dependence on isolated experts
- Prepare teams for broader AI implementation
How the booking process works
Step 1: Discuss your training requirements
We establish the audience, objectives, skill levels, platform environment and preferred delivery format.
Step 2: Complete a training requirements assessment
We gather the information needed to recommend the right content and practical activities.
Step 3: Receive a customised course outline and proposal
The proposal confirms learning outcomes, duration, format, deliverables and investment.
Step 4: Complete participant and technology preparation
Where relevant, we conduct access checks, collect pre-course information and prepare appropriate sample resources.
Step 5: Deliver the programme
Training is delivered online, onsite or through a blended format.
Step 6: Support application
Optional follow-up sessions help participants translate the training into sustained workplace use.
Button:
Request a Customised AI Training Proposal
Investment
Training fees depend on:
- Programme duration
- Number of participants
- Number of departments or role groups
- Platforms included
- Level of customisation
- Required course resources
- Online or onsite delivery
- Location and travel
- Pre-training assessment
- Follow-up implementation support
Half-day, full-day and multi-session programmes are available.
A tailored quotation is provided after the initial requirements discussion.
About the strategist and facilitator
Irma Karsten is an AI strategist, digital marketing strategist, corporate trainer and curriculum designer with more than 25 years of experience in strategy, implementation and capability development.
As the founder of The Training Group, Irma helps organisations translate AI capabilities into practical skills, prioritised workflows and repeatable ways of working.
Her approach combines AI adoption, process thinking, learning experience design and real-world implementation. She works with leadership teams, corporate departments, agencies, training providers and professional teams in South Africa and internationally.
Irma’s AI adoption framework extends beyond prompting. It considers the full capabilities of AI platforms, native AI within existing business systems, connected workflows, reusable team assets, responsible use and the organisational conditions required for sustainable adoption.
