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Understanding artificial intelligence has grown crucial as it is incorporated more and more into architectural design. AI is changing the way architects think, create, and communicate in a variety of ways, from generative design to automation and visualization. A variety of AI in architecture courses are available at PAAcademy for those who wish to investigate this junction.
This article offers a selected list of ten PAAcademy courses that cover various facets of AI and design. The list varies in instructional depth, tool diversity, and subject relevancy.
Ismail Seleit has almost a decade of experience in computational design, AI-enhanced visualization, and BIM. His role encompasses advanced architectural development and competition entries, demonstrating his deep understanding of performance-driven design methodologies.
The Diffusion Architect 2.0, a two-day online class presented by Ismail Seleit, will concentrate on sophisticated AI applications in architectural visualization and design workflows. The course will focus on Seleit's unique Flux models and examine how to use ComfyUI to create layered, architecture-specific picture generating pipelines.
Participants will discover how to combine tools such as ControlNet, Flux Schnell, Flux Dev, and Flux Kontext Dev to produce AI-generated images with design intent, spatial clarity, and stylistic accuracy. The goal of the sessions is to assist architects in using AI for early-stage conception, compositional improvement, narrative development, and form-finding.
Designers who want to employ AI technologies in a more regulated, iterative, and design-led manner are the target audience for this workshop.
Ebrar Eke is a Turkish architect based in Vienna. She integrates AI-driven methodologies into design workflows and is the founder of Al.Architecture Studio, delivering project-specific solutions using generative AI.
AI-Driven Architectural Design 2.0, a two-day advanced program that focuses on incorporating AI into practical architectural processes, is led by Ebrar Eke. Image-to-architecture pipelines, generative rendering with ComfyUI and ControlNet, and using Runway ML to produce evocative images and animations will all be covered in the talks.
Additionally, participants will learn how to create unique GPT tools for design problem-solving and produce technical drawings and CAD-like outputs using AI-generated imagery. In order to give architects and designers useful strategies for integrating AI as a technical and creative collaborator throughout the design process, the program will give brief theoretical explanations with live demonstrations and practical activities.
Architectural designer Tim Fu is well-known for his contributions to artificial intelligence and sophisticated computation. He promotes AI in architecture by speaking at conferences and universities and teaching workshops all around the world. As a content creator, Tim also widely disseminates his innovations.
Tim Fu and Studio Tim Fu investigate the intersection of parametric modeling and AI-driven visual production in the Parametric Intelligence 2.0 workshop. The workshops provide a hands-on introduction to the use of computational tools and generative prompts in architectural design.
Using LookX and Midjourney for conceptual brainstorming, Rhino and Grasshopper for shape development, and Krea, Magnific, Kling, and Runway for visual refining, participants will go through a pipeline. Additionally, JavaScript (JS5) programming is introduced in the workshop to facilitate geometric logic and design control.
By fusing architectural accuracy with artistic exploration, the course highlights how early-stage AI representations can develop into workable design solutions.
Fredy Fortich is an architect and engineer who focuses on computational design such as generative design, performance-based design, machine-learning techniques, and BIM coordination in Revit.
Participants in this workshop learn how to incorporate Generative Architecture with AI, using a multimodal, structured method that was partially developed through MVRDV research. In order to advance from basic image production to regulated, iterative design processes, it focuses on integrating Stable Diffusion, Flux, ComfyUI, and Photoshop AI.
Prompt engineering, LoRA weights, ADE20K segmentation, and ComfyUI's modular workflow customization are important subjects. Additionally, participants learn about picture accuracy with LLM integration, flux upscaling, and applying AI at different project stages while preserving architectural intent.
The program helps designers hone their use of AI for site-specific and context-aware design development by emphasizing control and critical thinking. Architects and other professionals who want to move beyond experimenting and implement AI in the real world are the target audience.
Cas Esbach works as an architect and project manager at MVRDV's Rotterdam office. Among his noteworthy accomplishments are the Shenzhen Terraces, Amsterdam's Tripolis Park, and the city of Amsterdam's Valley. Cas has also been a distinguished educator and he shares his skills and enthusiasm for architecture with the upcoming generation of professionals.
Architects and designers can learn useful methods for incorporating generative AI tools into their design processes in this course. It focuses on AI-Driven Design Practice, improving ideation, visualization, and presentation while preserving creative flexibility through the use of Photoshop, ControlNet, and Stable Diffusion.
Along with innovative approaches like Prompt Travel for transitions and animations, participants will investigate text-to-image, image-to-image, and fundamental image-to-video production techniques. Best practices for improving outputs and explaining AI-driven designs to clients and academic reviewers are also covered in the workshop.
With a focus on practical application, the course seeks to assist participants in utilizing AI tools in academic and professional projects in a relevant way while maintaining architectural quality and intent.
Kedar Undale is an architect, computational designer, and artificial intelligence designer. His areas of expertise include teaching, consulting, and using parametric design to create art. His artwork uses computer technologies to represent intangibles like gravity, wind, and sound.
This workshop, AI & Parametric Negotiation, investigates how a shared creative process might facilitate collaboration between designers and AI. Participants will learn how to create a negotiable area where minimal designer input directs AI toward unexpected but significant results, as opposed to completely controlling or passively accepting AI outputs.
To investigate how little changes to prompts, workflows, or models might result in radically different design outcomes, participants will experiment with Rhinoceros 3D, ComfyUI, Midjourney, Stable Diffusion, and Luma AI. The goal is to create a co-creative, iterative process where AI complements architectural intent without taking it over.
By the end, participants will have a better grasp of how to critically evaluate the role AI should play in their creative process and how to balance between control and freedom in AI-assisted design.
Architects and designers are introduced to useful techniques for incorporating AI into the architectural design process in this workshop. AI-Driven Architectural Design workshop emphasizes the use of tools such as Runway ML, Luma AI, ComfyUI, Stable Diffusion, and Midjourney to improve material and atmospheric representation, speed up ideation, and improve visualizations.
In addition to learning how to convert sketches and 3D models into images, participants will also learn how to create simple image-to-video animations. The seminars place a strong emphasis on experiential learning and promote both solo and group AI tool testing.
The goal of the program, which is intended for both professionals and students, is to empower participants to confidently utilize AI technology from early concepts to design development, fostering creativity and optimizing workflows.
The goal of The Diffusion Architect is to teach architects how to use ControlNet and Stable Diffusion in real-world design workflows. It is designed to help participants develop their abilities from basic ideas to more complex methods so they can design unique AI workflows for certain projects.
Key concepts of picture diffusion models, efficient prompting techniques, and ControlNet-based precise control techniques will be taught to participants. Attendees will have the capacity to incorporate AI as a helpful tool in architecture design.
With its emphasis on open-source tools and real-world application, the workshop is perfect for novices and experts, enabling AI to be a useful tool in routine design chores.
Carlos Bañón is a professor and architect who is in the forefront of incorporating digital fabrication, artificial intelligence, and computational thinking into architectural design. He has transformed urban landscapes and the built environment over the course of two decades, and is renowned for his resource-efficient, computationally-driven approaches.
In order to increase accuracy and creative control, this session examines how architects and designers may incorporate AI technologies such as ComfyUI, ControlNet, Stable Diffusion (1.5, XL, Turbo), and Midjourney v6 into architectural workflows. Taking Control 4.0 focuses on fusing technical mastery with conceptual investigation, connecting Stable Diffusion's command of geometry, materiality, and atmosphere with Midjourney's capacity for visual imagination.
Participants will experiment with real-time prompting using SDXL Turbo, create unique processes for editing 3D architectural content, and investigate animation techniques inside AI platforms through practical sessions. The goal of the program is to increase participants' technical proficiency and creative self-assurance when utilizing AI to enhance and expand architectural ideas.
Italian architect and computational designer Arturo Tedeschi is known for his use of digital technologies that highlights the semantic and emotional significance of items while obfuscating the distinction between disciplines. He provided services pertaining to algorithmic modeling, complicated geometry, digital manufacturing, artificial intelligence, virtual reality, and data-driven design.
By introducing Combinational Creativity using Generative AI, a paradigm where AI supports the synthesis of disparate ideas into fresh design concepts—this session pushes participants to reconsider the role of technology in the design process. Under the direction of Arturo Tedeschi, a computational designer and architect, the program explores how generative AI transforms creative thinking in addition to tool adoption.
Participants will explore the ways in which technologies such as Runway ML, ControlNet, Stable Diffusion, and Midjourney may collaborate on design iteration, visualization, and ideation. In addition to being technical, the focus is conceptual, giving participants crucial frameworks and strategic approaches for working with AI in product design, architecture, and other creative fields. The course pushes the limits of conventional design techniques by highlighting AI as a co-creator through facilitated exercises and project briefs.
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Apr 24, 2026
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Text-to-image diffusion models have quietly become one of the fastest-moving interfaces between architects and their own imaginations. Where the early conv...
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Dec 26, 2025
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Architectural design nowadays increasingly relies on computation and generative intelligence to balance human ideas with machine logic, material constraints, an...
