Understand AI. Get confidently set up.
A safely configured workspace and a useful first AI-assisted task.
15-module pathway
Online or in person

AI Build Labs
Practical, step-by-step AI training with an instructor. Follow along, try it yourself and build a useful task, workflow or prototype for your level. Join live online or in person, with required pre-work to prepare you.

Three levels. A practical next step.
Training across ChatGPT, Claude, Grok and Microsoft Copilot. Core ideas transfer across platforms; individual tools and features depend on your account and plan.
A safely configured workspace and a useful first AI-assisted task.
15-module pathway
Online or in person
A tested multi-step workflow with reusable skills and clear review points.
15-module pathway
Online or in person
A working application prototype, documented architecture and a release plan.
15-module pathway
Online or in person
Choose your pace
Your course covers the full 15-module pathway. Combine required pre-work with live learning in a one-day intensive, shorter sessions over a few hours, or a course spread over several weeks.
The full course fee is per person, regardless of the agreed delivery schedule. Pre-work prepares you for live practice; contact hours and the session timetable are confirmed before booking.
NB · Required for every course
You must complete your course’s pre-work before attending the live Build Lab session. This applies to Beginner, Intermediate and Advanced participants, online and in person.
We provide level-specific preparation materials and tasks ahead of your course. Your joining instructions will confirm what to complete and when it is due.
If you need help completing the pre-work, contact us before your live session so we can agree the next step.
Explore the curriculum
Open a level to explore its 15 modules. Each pathway combines concepts, practical exercises and a useful final build.
Your practical outcome: A safely configured workspace and a useful first AI-assisted task.
Required before your live Build Lab: complete the beginner pre-work materials and preparation tasks.
Trace the journey from early AI ideas to today’s generative tools.
Understand the shifts from rules and machine learning to modern assistants.
Learn how LLMs generate responses and why they can get things wrong.
Decode prompts, tokens, context windows, models, agents and hallucinations.
Compare everyday uses of ChatGPT, Claude, Grok and Microsoft Copilot.
Set up your account, preferences and a practical workspace for learning.
Check data-use settings, project visibility and sharing permissions before uploading work.
Give clear instructions, context, examples and a desired output format.
Keep related work, source files and instructions together where your platform supports it.
Use documents as context while checking relevance, permissions and sensitive data.
Apply AI to writing, summarising, planning and research with human review.
Create a reusable task recipe and explore native skills where available.
Build a portable context file and understand what your assistant does and does not remember.
Verify claims, spot weak outputs and know when a human must decide.
Complete and demonstrate a useful workflow for a real task.
Your practical outcome: A tested multi-step workflow with reusable skills and clear review points.
Required before your live Build Lab: complete the intermediate pre-work materials and preparation tasks.
Break a recurring task into inputs, steps, decisions and outputs.
Match the assistant’s capabilities, speed and cost to the job.
Explore projects, files and supported tools for structured day-to-day work.
Adapt a workflow for Claude, Grok or Copilot without assuming identical features.
Connect supported services with the minimum access needed for your task.
Understand platform-specific extensions and assess their permissions and reliability.
Write task instructions, examples and checks that make a skill repeatable.
Separate trusted sources, working context and long-term reference material.
Organise linked notes and reusable knowledge to support your AI workflows.
Retrieve relevant information and tie outputs back to verifiable sources.
Turn messy information into useful tables, fields and consistent formats.
Connect triggers, AI steps and actions with approval points.
Build a repeatable process for text, images or other supported media.
Configure a focused assistant using an existing model, instructions, knowledge and tools.
Measure usefulness, handle failures and present an end-to-end practical build.
Your practical outcome: A working application prototype, documented architecture and a release plan.
Required before your live Build Lab: complete the advanced pre-work materials and preparation tasks.
Define users, requirements and a small, testable first release.
Create a repository and learn commits, branches and code review.
Set up an editor, dependencies and a repeatable local workflow.
Map the interface, server, data, integrations and trust boundaries.
Choose a delivery approach based on users, devices and distribution needs.
Use assistants to scaffold and refine code while reviewing their changes.
Call an existing model securely and manage requests, errors and usage.
Design the records and database your application actually needs.
Add sign-in, roles and server-side permission checks.
Connect approved source material to grounded AI responses.
Design bounded tool use with clear permissions and human approval.
Connect external services and handle retries without duplicate actions.
Test behaviours, protect secrets and evaluate AI output quality.
Release a prototype with monitoring, cost controls and a rollback plan.
Demonstrate your application and document its architecture and next steps.
Your investment
Course fees are per person for the complete 15-module pathway, whether you learn online or in person. Choose the live-session schedule that suits you.
All 15 modules, required pre-work and live Build Lab learning. Online or in person, on an agreed schedule.
All 15 modules, required pre-work and live Build Lab learning. Online or in person, on an agreed schedule.
All 15 modules, required pre-work and live Build Lab learning. Online or in person, on an agreed schedule.
These are full-course fees, not daily or hourly rates. Tax treatment, venue arrangements, software requirements and any separately chargeable extras will be confirmed before payment.
Microsoft specialist courses
Your team already has work to get through. Learn how to use Copilot to move it forward—and Cowork to tackle larger, clearly bounded assignments. Based on our MicOS course material, expanded into live, instructor-led practice.
Microsoft Copilot: Beginner R12,000 · Intermediate R14,000 · Advanced R16,000 per learner, per full course, excluding VAT. Cowork course fees are shown below.
Spend less time catching up. Turn email, meetings and documents into a clear next step.
You leave with: A reusable work brief, a connected Microsoft 365 workflow and a source-backed research notebook.
Use the W.O.R.K. framework to choose the right Copilot experience, context and review checks.
Practise taking one task across Outlook, Teams, Word, Excel and PowerPoint.
Build a research notebook that separates evidence, assumptions and unanswered questions.
Check permissions, appropriate data use and output quality before work leaves your hands.
Bring a recurring task. In small groups, turn a fictional email thread and meeting notes into an action list, briefing and presentation outline.
Required pre-work: review the assigned MicOS preparation, complete the account/access check and bring a non-confidential work challenge. Basic familiarity with AI and Microsoft 365 is recommended.
Already using Copilot for everyday tasks? Connect those tasks into a consistent workflow, improve the quality of your outputs and make your process easier to repeat.
You leave with: A reusable prompt pack, a reviewed research-to-presentation workflow and a practical checklist for your team.
Turn recurring tasks into structured briefs with examples, constraints and clear quality checks.
Compare supplied sources, identify gaps and turn evidence into a decision-ready recommendation.
Develop a coordinated briefing, supporting analysis and presentation, checking consistency at each handover.
Document the steps, assign human review points and test your process against different inputs before sharing it.
Use a fictional project pack to create a checked recommendation, briefing document and presentation outline. Peer-review the results and package your prompts and process for reuse.
Required pre-work: complete the assigned preparation and account/access checks. Bring a non-confidential recurring task. Complete Microsoft Copilot Beginner or demonstrate equivalent experience.
Move beyond individual prompts. Build repeatable workflows your team can review and use.
You leave with: A tested leadership workflow, a decision-analysis pack and an agent prototype or design with a governance checklist.
Apply P.O.W.E.R. to map recurring work, connect inputs and set human review gates.
Explore data, challenge calculations and turn findings into a defensible decision brief.
Define a focused job, approved knowledge and test cases for an agent.
Plan ownership, permissions, evaluation and controlled rollout before scaling.
Build and peer-review a weekly leadership operating brief. Test an agent against normal and difficult inputs using an approved training environment.
Required pre-work: review the assigned MicOS preparation, complete the account/access check and bring a non-confidential work challenge. Complete Microsoft Copilot Intermediate or demonstrate equivalent experience.
Delegate a complete piece of work with confidence, then check the evidence behind the result.
You leave with: A reviewed meeting brief, a matching deck and summary, and a recurring-work playbook.
Use D.O.N.E. to define a bounded task, supply context and inspect the result.
Turn a vague request into a clear brief for a deck and matching one-page summary.
Keep analysis, documents and presentations aligned around one checked set of facts.
Build a decision pack with source dates, contrary evidence and explicit gaps.
Design and test a leadership brief with clear triggers, review points and stop conditions.
Work through a fictional leadership scenario in pairs. Review cross-file consistency, challenge weak evidence and rehearse a recurring task before discussing activation.
Required pre-work: review the assigned MicOS preparation, complete the account/access check and bring a non-confidential work challenge. Basic familiarity with AI and Microsoft 365 is recommended.
Create reusable ways of working, connect approved systems and build a credible plan to scale.
You leave with: A reusable skill draft, a business-system workflow design, an app test pack and an evidence-backed governance pack.
Turn a repeatable reporting method into reusable instructions and test its behaviour.
Map approved connections, data flows and action boundaries for a useful business workflow.
Scope a bounded browser task and design and test a lightweight private app preview where available.
Compare quality, human effort and usage to choose an appropriate approach for the task.
Build a pilot charter, control register and rollout recommendation with accountable owners.
Teams build a controlled prototype or reviewed design, run failure scenarios and defend a pilot go/no-go recommendation. No production rollout is required.
Required pre-work: review the assigned MicOS preparation, complete the account/access check and bring a non-confidential work challenge. Complete the Intermediate pathway or demonstrate equivalent experience.
Facilitator demonstrations, guided laptop exercises, peer feedback and a practical capstone turn the short MicOS lessons into applied learning. Delivery can be an intensive or sessions spread over several weeks; the scope and schedule are agreed before booking. Live online delivery can also be discussed.
Bring a laptop and complete the required pre-work before the live session. We confirm Microsoft licences, organisational permissions, Cowork availability and any usage costs with you in advance. Feature availability varies by account. Where access is unavailable, the agreed course uses supplied training material, demonstrations or a reviewed design exercise.
Fees are per person for the selected full course, not per day. Each course and level is booked separately. Microsoft Copilot fees are R12,000 for Beginner, R14,000 for Intermediate and R16,000 for Advanced, per learner for the full course, excluding VAT. Tax treatment for Cowork courses, venue, software costs and final inclusions are confirmed in your quote. These are Singularity South Africa courses based on MicOS learning material, not official Microsoft certification. Live courses are booked separately from Community+.
Creative Generative AI
Create images, shape video stories and build campaign content with AI. Three live, instructor-led courses for marketers, creatives and teams who want to turn a brief into work they can review and use.
Beginner R10,000 · Intermediate R12,000 · Advanced R16,000
Per person, per full course. All fees exclude VAT.
Have ideas but struggle to turn them into visuals? Learn to brief AI, create images and shape a short video concept with guided practice.
You leave with: A creative brief, a small set of campaign visuals and a storyboard for a short social video.
Understand where AI helps, where human judgement matters and how to evaluate a result.
Define your audience, message, visual direction and a clear deliverable.
Describe subject, composition, lighting and style; compare and refine variations.
Use approved references, improve details and prepare visuals for different formats.
Plan a simple sequence, write shot prompts and explore a short AI-generated clip.
Present your campaign starter kit and check accuracy, permissions and brand fit.
Required pre-work: Complete the introductory material and account checks. Bring a non-confidential brief or use our fictional training campaign. No prior creative AI experience is required.
One good image is not a campaign. Build a consistent visual direction and take it through storyboards, video and social formats.
You leave with: A coordinated campaign asset set and a short edited social video, supported by a repeatable production workflow.
Explore distinct creative routes and choose one against the brief.
Build a reference pack and refine a coherent look across multiple assets.
Translate a message into a clear narrative, shot list and production plan.
Practise motion prompts, continuity checks and selective iteration.
Combine selected clips, captions and cleared sound into a focused social edit.
Adapt formats, peer-review the campaign and document the workflow for reuse.
Required pre-work: Complete the assigned preparation and tool-access checks. Bring a sample image or campaign concept. Complete Beginner or demonstrate equivalent image-generation experience.
Move from individual assets to a controlled production process. Lead a campaign from creative direction through quality review and handover.
You leave with: A campaign prototype, a reusable creative production playbook and a review-ready delivery pack.
Define a campaign bible covering audience, story, visual language and acceptance criteria.
Plan multi-shot scenes, reference continuity and a deliberate iteration strategy.
Organise briefs, prompts, assets, versions and human approval points.
Compare outputs, track time and generation costs, and decide what to regenerate or edit.
Build practical checks for permissions, likenesses, claims, disclosure and brand approval.
Present a complete campaign prototype with a production playbook and rollout recommendations.
Required pre-work: Complete the advanced preparation and account checks. Bring an existing creative workflow and approved reference assets, or use our training pack. Complete Intermediate or demonstrate equivalent experience.
Live learning in person or online, with demonstrations, guided exercises, feedback and practice between sessions. Each course has six modules; the timetable is agreed before booking. Fees cover the selected full course, not a single day.
Pre-work is required at every level. Bring a laptop and complete the account and access checks before the first session. Image-generation, video-generation and editing tools are confirmed in your joining instructions. Software subscriptions, generation credits, travel and venue costs are quoted separately where applicable.
Use approved assets or fictional training briefs. Learn to check outputs and seek the necessary permissions before publishing. These creative courses are booked separately from the general 15-module Build Labs and Community+ membership.
A little clarity
It is per person for the complete course: Foundation R10,000, Intermediate R12,000 and Advanced R16,000. It is not an hourly or daily rate. The fee covers the full 15-module pathway with pre-work and live learning.
Yes. Every level can be delivered online or in person. We confirm the venue or online joining details, live-session schedule and practical requirements before booking.
The same course can use a one-day live intensive, shorter sessions over a few hours, or sessions spread over several weeks. Pre-work and independent practice support the live sessions, so completing the course involves more than attendance alone.
Yes. You must complete the level-specific pre-work before the live Build Lab session. This applies to all three levels and both online and in-person delivery.
Each course includes preparation materials and tasks suited to its level, such as foundation reading, account or technical setup, a short exercise or a project brief. Your joining instructions will specify the tasks and deadline.
Please contact us before the live session. We will discuss what support or schedule adjustment is appropriate. Do not arrive expecting to complete the required preparation during the live Build Lab; any rescheduling terms will be agreed with you.
Choose Beginner / Foundation if you are setting up and learning core concepts. Intermediate / Practitioner suits people already using AI who want connected, repeatable workflows. Advanced / Builder suits those ready to build applications. We can help you assess the right starting point.
No coding experience is required for Foundation. Practitioner focuses on workflows and tool use. Builder includes technical concepts and code; we will check prerequisites and agree preparation before enrolment.
Core learning is designed to transfer across models. Practical examples may use ChatGPT, Claude, Grok or Copilot; projects, connectors, skills and other features differ between products and subscription plans.
Yes. Tell us the number of participants, their level, preferred dates, delivery format and payment lead. We will propose the appropriate scope and quote.
No. Facilitated Build Labs are paid training booked separately. Community membership does not include these sessions unless your specific agreement says otherwise.
Submit your enquiry. We will confirm level, availability, format, scope and pricing with your lead contact before arranging payment. No date or place is reserved by this preview.
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