AI has huge potential, but there are also major risks
Understand it properly so that you can Architect Success
Architecture of AI | Architecting for AI
10h00 - 17h00 SAST / 08h00 - 15h00 UTC.
See times in your local timezone here.
Audience and Benefits
Enterprise Architects, Business Architects, Digital Transformation Experts, Senior Solution Architects, Data/Information Architects
This two day workshop provides you with the knowledge, skills and techniques to understand the potential, limits, risks and success factors for delivering AI benefits.
Understand how AI evolved, the different types and their strengths and weaknesses
Understand the training and runtime architectures required
Understand human and organisational implications
Know which models are appropriate for which use cases and types of applications
Be aware of the risks and how to avoid them
Architect, validate and prepare data for AI
Integrate AI in thinking, planning, architecture and the Application Landscape
Be aware of major players, their offerings and relative strengths
Be prepared for the waves of developments coming in the next 18 months
This is probably the fastest, least painful and most fun way to understand the true nature and capability of AI as well as the risks.
Why Inspired and Ecosys.ai?
Inspired is the leading provider of architecture methods, techniques, skills training and tool support in SA. We provide world class frameworks, models, methods and techniques for enterprise, business, information, application and solution architectures. We integrate business and IT strategy to deliver effective digital transformation and exploitation of technology.
Ecosys.ai is the leading provider of AI expertise, models, integration and application in commercial client facing systems, both in SA and internationally.
The organisations have collaborated for several years. Together we bring unique depth in Architectures and AI.
Content and Structure
The course features Live TED-like lectures, in-class assignments, group work and feedback to apply techniques. Sessions are recorded for ease of review / in case you miss anything. Supporting notes, documents, examples and videos are provided to enhance learning. Support in planning the use of techniques in your own context is included.
The main topics covered in the course include (subject to improvement without notice):
History and Significant Developments Developments in theory, algorithms, models, products, industry and applications
Types of AI, Strengths, Weaknesses, Applications
Narrow vs General AI; Task specific AI, Deep Learning, Generative AI, RAG, Superintelligence, Hierarchical, Semantic, Deterministic AITraining and Runtime Architectures
Data preparation, Pipelines, GPU clusters, Distributed Training, Human Guidance. Context, Guardrails, Fine Tuning.
Runtime infrastructure, scalability, commercial offeringsOrganizational Impacts, Industry Applications, and Future
Job impacts, automation. Support, development and creative tasks. Workflow, human collaboration, integration. Risk and Governance.
Industry Applications and Case Studies
Industry and application/use case applicability. Case studies (Finance, Healthcare, Manufacturing, Retail, Government, Science, Software Engineering)
AI Operating Systems, Agents, Integration, Projections
AI OSes, Workflow and Integration protocols and tools (MCP, N8N). Agents and APIs. 2026/7 projections. Towards Deterministic AI.
Synthesis and Action Planning
Personal Roadmap. Enterprise Readiness Assessment. Enterprise Canvas.
Workshop Mode
Delivery will be very interactive
- Scene-setting lecture or video
- Individual and group assignments
- Live debate, discussion and feedback
- Bring your own knowledge, questions, opinions!
Recording available to attendees for review
Notes, slides and references provided
Your Local Course Time
Platform
To support learning, we use the Ruzuku course delivery platform. This allows us to provide course overviews, online enrolment and payment, online course structure and progress tracking, forums for student collaboration, recorded session videos and support materials such as white papers, readings, example models and video clips.
We make use of Zoom for live lectures with rich student interaction via video, audio, screen sharing, break-away rooms and chat facilities. Students will need a PC / Mac / high end tablet and a reliable Internet connection to participate.
We will share examples in our enterprise level enterprise modelling and knowledge management platform: Enterprise Value Architect (EVA) to demonstrate what an integrated tooling environment can achieve. Of course, techniques can also be supported by other competent toolsets.
Pricing and Enrolment
Because of the high level of engagement and lecturer attention, we are limiting the course to a maximum of 16 delegates per cohort.
Being based in a developing economy region (South Africa) we are acutely aware of the difficulty of paying for world class tuition in devalued currency. Accordingly we have two tier pricing for the course:
| Location | Cost (before taxes) |
|---|---|
| Developing Economies | ZAR 8650 / USD 525 |
| Developed Economies | USD 630 |
If you are unsure of your current economy’s status, please refer to the full country lists.
Both of these provide exceptional value when you consider the career development and improved strategic decisions that result.
Apply Now
Current scheduled instances below. Please choose one to reserve your place.
Please contact us if you want to arrange an in-person or in-house course and we will review the request.
Still Have Questions?
Please use the form below to ask us anything or have us contact you for a discussion. Not sure whether this training is suited to your role/organisation/experience? Book a call and we can discuss further, and find the right match for your needs.