Discover how AI transforms workflows, from feasibility studies to visualization, enhancing creativity, sustainability, and client engagement in the design process.

Who It’s For

Architects, designers, and creative professionals curious about AI but unsure how it fits into their daily practice. This course is for those at the foundation level—wanting to move beyond tool demos and understand how AI can practically augment site analysis, sustainable strategies, presentations, and storytelling in real-world studio projects.

What Makes This Course Different

Most courses show you “what AI tools can do.”

This course shows you how to embed them into your architectural workflow - from feasibility to client engagement.

It is built directly on NAME Architecture’s AI-infused design process, tested and refined in real projects. You’ll learn how feasibility studies, planning, conceptualization, sustainability, visualization, and automation can be rethought through AI, without compromising design values.

What You’ll Learn

Part 1: Framing AI in Architecture

 How AI mirrors past paradigm shifts in architectural practice

 Why architects should care: creativity, efficiency, sustainability, and client

engagement

 Understanding AI’s role: companion, not replacement

Part 2: Use of AI in the design workflow

 Site and climate analysis, layout planning, conceptualization, visualization &

post-production, automation & knowledge management

 Feasibility study, concept design, sustainability integration, client engagement

Part 4: Ethics, IP & the Risk Landscape

 Overview of the global AI regulations (EU AI Act and global approaches)

What You’ll Get

 10 hours of live, interactive instruction (online or in-person).

 Templates for feasibility, conceptualization, and visualization briefs.

 1-month access to a discussion forum (Discord).

 Certificate of completion.

Format & Schedule

 Duration: 2 hours

 Language: French or English

 Group size: Min 5

Pricing

Available upon request. Custom sessions available for in-house teams, firms.

How to think, design, and work with generative AI in architecture and visual practice taught through the lens of real studio workflows.

Who It’s For

Designers, architects, consultant teams, visual storytellers, and creative teams who are new to AI and want more than a tool demo; they want to understand how this could be applied in architectural practice.

What Makes This Course Different

Most courses teach you what the tools can do.

We teach you how to integrate them strategically and creatively into your workflow.

This course is based directly on the AI workflows we use inside NAME Labs, and how we’ve evolved them project-by-project over the past two years.

What You’ll Learn

Part 1: Framing AI in Practice

 How generative AI is shifting early-phase design, concept visualization, and creative decision-making.

 The role of human input, interpretation, and authorship.

 AI as a tool for idea acceleration, not replacement.

Part 2 : Core Tools with Context

 Midjourney, Krea, ChatGPT, Runway: what they do and where they fit in a typical design process.

 Prompt engineering from a designer’s mindset.

 Visual workflows: from sketches to concept boards using AI.

Part 3 : Studio Scenarios & Exercises

 Real-world exercises based on internal studio use cases (e.g., client pitch visuals, competition narratives, project moodboards).

 How we brief, test, and refine image outputs collaboratively across tools.

 Group critique and feedback on AI-generated outputs.

Part 4 – Ethics, IP & Studio Culture

 Responsible use of AI in a creative team.

 Intellectual property, authorship, and the risk landscape.

 Creating space for experimentation without compromising design values.

What You’ll Get

 10 hours of live, interactive instruction (online or in-person)

 Guided studio-style exercises with templates and briefs

 Post-course visual critique session (optional add-on)

 1-month access to our Discord discussion group

 Downloadable NAME Labs Guidebook…

 Certificate of completion

Format & Schedule

 Duration: 10 hours

 Delivery: 5 x 2hr sessions (or 2 full days)

 Language: French or English

 Group size: Min 5, Max 15

Pricing

Available upon request. Custom sessions available for in-house teams and firms.

A hands-on, project-driven course for professionals ready to deepen their control, precision, and creative application of AI tools across the design process.

Who It’s For

Architects, designers, and creative professionals with a foundational understanding of generative AI who want to push their visual work further. Ideal for individuals and studio leads looking to bring more direction, consistency, and depth into their AI driven workflows.

What Makes This Course Different

This course goes beyond exploration and into execution.

We focus on refining how you work with AI, dialing in control, developing custom visual directions, and building image workflows that serve real projects.

It’s built around the advanced practices we use at NAME Labs to move from exploratory prompts to polished, project-ready outputs.

What You’ll Learn

Part 1 – Precision Prompting

 Advanced prompt engineering techniques for designers

 Prompt structure, modifier stacking, and prompt tuning across tools

 Controlling scale, composition, and consistency in outputs

Part 2 – Visual Consistency & Customization

 Techniques for maintaining framing, perspective, and character continuity

 Building and applying visual references and style anchors

 Custom inputs (like sketches or photos) and multi-pass workflows

Part 3 – Project-Driven Workflows

 Developing a personal or studio-based AI project

 How to integrate AI outputs into concept development, presentations, and design proposals

 Layering AI visuals with other tools and post-production techniques

Part 4 – Cross-Tool Strategies

 Working across platforms without relying on a fixed tool chain

 Case studies showing multi-tool workflows (without tool-specific bias)

 How to build adaptable practices for evolving platforms

What You’ll Get

 10 hours of live, interactive instruction (online or in-person)

 Access to our Custom Prompt Assistant GPT for multi-tool prompt generation

 Downloadable prompt packs and project briefs to apply in your own workflow

 Visual critique and feedback from instructors or peers

 1-month access to our Discord discussion group

 Session recordings (if online)

 Certificate of completion

Format & Schedule

 Duration: 10 hours

 Delivery: 5 × 2hr sessions (or 2 full days)

 Language: French or English

 Group size: Min 5, Max 15

Pricing

Available upon request. Custom sessions available for in-house teams and firms.

A technical and creative deep dive into fully customized AI image generation workflows using local tools like Stable Diffusion, Forge, and ComfyUI.

Who It’s For

Architects, and visual creatives with experience in using AI tools, ready to take full control of their AI workflows.

Ideal for professionals working in high-security environments, artists experimenting with model customization, and anyone looking to move beyond cloud-based tools into technically autonomous pipelines.

What Makes This Course Different

This course focuses on self-hosted, open-source tools that give you complete creative and technical freedom.

Rather than relying on black-box platforms, you'll learn to work directly with models, customize them, and build tailored pipelines using node-based tools like ComfyUI and Forge.

We teach the exact setups and workflows we use to develop custom image generation pipelines inside NAME Labs.

What You’ll Learn

Part 1 – Stable Diffusion Foundations

 How Stable Diffusion works and how it differs from API-based tools

 Understanding checkpoints, LoRAs, embeddings, and model architecture

 Prompting strategies for granular image control

Part 2 – Working with ComfyUI & Forge

 Setting up ComfyUI and Forge for local workflows

 Using nodes for modular, repeatable image pipelines

 Techniques for iterative refinement, versioning, and branching

Part 3 – Advanced Image Editing

 Inpainting, outpainting, and face enhancement methods

 Styling and character consistency through visual inputs

 Post-production workflows for polished outputs

Part 4 – Building Custom Pipelines

 How to merge models and experiment safely

 Performance optimization and hardware best practices

 Creating workflows tailored to design, storytelling, or conceptual art

What You’ll Get

• 10 hours of live instruction with expert walkthroughs

• Downloadable ComfyUI files and starter workflows

• Access to session recordings (if online)

• Technical documentation and setup guides

• 1-month Discord access for ongoing support

• Certificate of completion

Format & Schedule

• Duration: 10 hours

• Delivery: 5 × 2hr sessions (or 2 full days)

• Language: French or English

• Group size: Min 5, Max 15

Pricing

Available upon request. Custom sessions available for in-house teams and firms.

A hands-on introduction to working with language models, prompt writing, and AI research techniques for professionals across industries.

Who It’s For

Professionals, teams, and creative leads who want to use AI practically in their day to day work, from communication and research to ideation and content generation.

No prior technical experience required.

What Makes This Course Different

This course is built for real-world use, not theory.

You’ll get a working knowledge of language models like ChatGPT, Claude, and Gemini and learn how to use them as creative and analytical tools in your workflow.

By the end, you’ll have your own custom GPT assistant and a toolkit to apply AI productively, safely, and with confidence.

What You’ll Learn

Part 1 – Understanding Language Models

 How LLMs work — and how to think with them

 Capabilities and limitations of tools like ChatGPT, Claude, and Gemini

 Understanding AI as a research, writing, and strategy partner

Part 2 – Prompt Engineering Essentials

 Prompt writing frameworks across platforms

 Templates for writing, summarizing, brainstorming, and more

 Building a prompt library for your role or team

Part 3 – Visual Content & Research Workflows

 Using AI to generate layouts, images, or presentations

 Conducting research and synthesis with LLMs

 Managing accuracy, citations, and iterative refinement

Part 4 – Your First GPT Assistant

 Introduction to custom GPTs

 Step-by-step: Build, test, and refine your own assistant

 Use cases for productivity, collaboration, and organization

What You’ll Get

• 10 hours of live, interactive instruction (online or in-person)

• Your own customizable GPT Assistant

• Downloadable prompt-writing templates and starter libraries

• Session recordings (if online)

• 1-month access to our Discord for post-course support

• Certificate of completion

Format & Schedule

• Duration: 10 hours

• Delivery: 5 × 2hr sessions (or 2 full days)

• Language: French or English

• Group size: Min 5, Max 15

Pricing

Available upon request. Custom sessions available for in-house teams and organizations.

A systems-focused course on building custom AI agents, automating workflows and

building internal secure LLMs.

Who It’s For

Professionals who’ve completed the foundational AI integration course and are ready to build automated, connected AI systems.

Ideal for product managers, creative technologists, innovation leads, and operations focused teams using AI to scale or streamline internal processes.

What Makes This Course Different

Most courses stop at prompt writing. This one goes further, into actual systems building.

You’ll learn how to create a secure LLM for your practice, vector databases, and automation platforms like n8n to create agents that respond, adapt, and perform real tasks.

The focus is on real-world implementation using low-code tools, without requiring deep engineering knowledge.

What You’ll Learn

Part 1 – Creating secure LLMs for your practice

 How GPT communicates with APIs and external tools

 Understanding function calling and memory in GPT assistants

 Structuring assistants for reliability and scalability

Part 2 – Knowledge Storage & Retrieval

 How vector databases work (e.g., for private knowledge retrieval)

 Setting up your own vector database and integrating it with GPT

 Use cases: internal Q&A bots, document recall, contextual assistants

Part 3 – Visual Automation with n8n

 Introduction to no-code automation using n8n

 Connecting GPT to third-party services

 Creating automated content pipelines and operational flows

Part 4 – Build Your Own AI Agent

 Guided hands-on build: Your first working AI-powered agent

 Example workflows you can adapt: content generation, task routing, internal tools

 Testing, refining, and scaling AI-powered automations

What You’ll Get

• 10 hours of live instruction (online or in-person)

• Example API workflows and automation templates

• Pre-built n8n workflows to modify and extend

• Your own working AI agent built during the course

• Continued access to Prompt Assistant GPT

• Access to course recordings (if online)

• 1-month access to our Discord for Q&A and troubleshooting

• Certificate of completion

Format & Schedule

• Duration: 10 hours

• Delivery: 5 × 2hr sessions (or 2 full days)

• Language: French or English

• Group size: Min 5, Max 15

Pricing

Available upon request. Custom sessions available for in-house teams and organizations.