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Architecture, Design and Fashion

Explore how cutting-edge design workflows are being transformed through AI and digital tools. From intelligent architectural planning and generative design to fashion forecasting, smart textiles, and AI-powered trend analysis, this specialization connects creativity with computational power. Students will gain hands-on experience with industry-leading platforms such as Archalogix, Rhino AI plugins, and 3D modeling automation, preparing them for roles in sustainable design, adaptive architecture, and smart fashion innovation.

ARCHITECTURE, DESIGN AND FASHION

Course Series

Explore our course series designed to help you build foundational and intermediate knowledge across key topics. Each course offers curated content tailored to different learning goals.

INTRODUCTORY COURSES

4 courses

  • Why take this course?

    This course introduces learners to Agentic AI - systems that go beyond passive response generation and instead act autonomously toward goals. In contrast to traditional AI tools, agentic systems can plan, make decisions, use external tools, and even reflect on their actions. Designed for learners who have already explored Generative AI, this course bridges the gap between using AI and designing AI-driven workflows that simulate autonomous behavior.
    Through hands-on projects and real-world examples, students will gain foundational knowledge in multi-step reasoning, task decomposition, tool integration, and memory - the building blocks of agentic systems. This course sets the stage for future industry-specific tracks in business, education, finance, and more.

    AI is evolving — and it's learning to take initiative. This course explores the next frontier: Agentic AI. Unlike basic chatbots or assistants, agentic systems can plan, act, and adapt to achieve goals. You’ll learn how these intelligent agents work, how to design them, and how they use tools, memory, and multi-step reasoning to function independently. Perfect for professionals, technologists, or innovators who want to go beyond using AI and start building with it. This course lays the foundation for advanced, industry-specific agentic AI training.

    What will you receive upon completion?

    Certificate of Completion, and Badge to use across Professional Platforms

    What will you learn each week?

    • Session 1: What is Agentic AI?

      • Definitions: Agents vs Assistants vs Tools

      • Agent architecture: Perception → Reasoning → Action

      • Task completion vs goal pursuit

      • Key frameworks: Auto-GPT, BabyAGI, LangChain agents, CrewAI

      • Demos: How agents differ from GenAI tools

      Session 2: Planning and Reasoning in Agents

      • Multi-step reasoning: from LLMs to planning agents

      • Task decomposition and sub-goal generation

      • Prompt-chaining vs autonomous reasoning

      • Case study: An AI that plans a marketing campaign or writes code

    • Session 3: Tool Use and Integration

      • Toolformer and beyond: how agents call APIs, search, use calculators

      • The agent “toolbelt”: defining and assigning tools

      • LLM + plugin architectures (LangChain, OpenAI functions, HuggingFace agents)

      • Hands-on: Design a simple agent to perform web search + summarize

      Session 4: Memory and Context

      • Short-term vs long-term memory in agents

      • Retrieval-augmented generation (RAG) and vector databases

      • Embeddings 101 and memory stores (Pinecone, FAISS)

      • Use case: AI assistant with persistent memory of a client or task

    • Session 5: Reflection and Self-Correction

      • Agentic loops and thinking steps (e.g., ReAct framework)

      • Iterative reasoning, retry logic, and error handling

      • Critic and planner roles in multi-agent systems

      • Use case: Agents that debug or revise their own outputs

      Session 6: Multi-Agent Collaboration

      • Autonomous teams: CrewAI, AutoGen, LangGraph

      • Roles and personas in agentic systems

      • Inter-agent communication

      • Use case: Agent team executes a content pipeline or workflow

    • Session 7: Limitations, Ethics, and Failure Modes

      • Over-reliance and hallucination in agentic behavior

      • Security, misuse, and safety concerns

      • Prompt injections, tool misuse, data privacy

      • Design principles for safe, bounded autonomy

      • What current agentic systems can’t do (yet)

      Session 8: Capstone Workshop — Design Your Own Agent

      • Choose a goal or workflow (e.g., research assistant, business analyst, personal concierge)

      • Define tools, memory, goals, roles

      • Create a prompt-based or low-code agent prototype

      • Demo and feedback: peer review + instructor insights

  • Why take this course?

    This hands-on, beginner-friendly course introduces learners to the fast-evolving field of prompt engineering - the art and science of communicating effectively with Generative AI. In just 24 hours, participants will learn how to craft prompts that produce better, more accurate, and more useful outputs from tools like ChatGPT, Claude, DALL-E, and others. Through real-world examples, interactive exercises, and guided experimentation, learners will gain practical skills to unlock the full potential of AI in creative, professional, and technical contexts.


    No technical or programming background is required - just curiosity and a willingness to experiment!

    Generative AI is powerful—if you know how to ask the right questions. This course teaches you how to speak the language of AI through effective prompt engineering. Over four weeks, you'll learn how to design, refine, and experiment with prompts to unlock smarter, more accurate, and more creative responses from GenAI tools like ChatGPT, Claude, and Midjourney. From writing and coding to design and customer service, prompt engineering is the skill that puts AI to work for you. Perfect for professionals, creators, educators, and anyone curious about working better with AI.

    What will you receive upon completion?

    Certificate of Completion, and Badge to use across Professional Platforms

    What will you learn each week?

    • Session 1: What is Generative AI? A Beginner’s Map

      • What is GenAI? Definitions and context

      • Evolution: From early AI to Generative AI

      • Examples in action: ChatGPT, DALL·E, Midjourney, GitHub Copilot, etc.

      • Real-world applications (business, education, art, software, etc.)

      • What GenAI can do today

      Session 2: How Generative AI Works — The Basics (No Math!)

      • What is a model? What is "training"?

      • Overview of LLMs, diffusion models, GANs, VAEs

      • Why GenAI seems smart (but isn’t conscious)

      • Tokens, prompts, hallucinations explained

      • Limitations of current models and where they break

    • Session 3: Exploring Text-Based GenAI (LLMs like ChatGPT, Claude, Gemini)

      • How LLMs generate language

      • Prompting basics: getting what you want

      • Use cases: summarization, writing, planning, coding

      • Prompt engineering basics and best practices

      • Limitations and risks of text-based GenAI

      Session 4: GenAI for Images, Audio, and Video

      • Overview of image generation tools (DALL·E, Midjourney, Stable Diffusion)

      • Basics of how image GenAI works (diffusion explained simply)

      • Intro to audio and music GenAI (e.g., Suno, ElevenLabs)

      • Video GenAI (e.g., Runway, Sora—emerging tools)

      • Demos and ethical considerations (deepfakes, misuse, bias)

    • Session 5: Real-World Use Cases and Tools

      • Business use: marketing, productivity, customer service

      • Education use: tutoring, writing support, personalized learning

      • Design, art, and creative content

      • GenAI in software development and automation

      • Demo of multi-modal GenAI tools (text+image, text+code)

      Session 6: What GenAI Can’t Do (Yet)

      • Understanding hallucination and misinformation

      • Reasoning, logic, and factual gaps

      • Biases and fairness in GenAI

      • Creativity vs replication: is GenAI truly creative?

      • The future: AGI vs narrow GenAI

    • Session 7: Ethics, Risks, and Responsible Use

      • Copyright and IP issues

      • Deepfakes, misinformation, and manipulation

      • AI safety and alignment challenges

      • Open vs closed-source models

      • Regulatory trends (Canada, EU, US, etc.)

      Session 8: Hands-On Workshop: Build Your Own GenAI Workflow

      • Choose a use case (content creation, customer response, design, etc.)

      • Hands-on with GenAI tools (text, image, audio)

      • Crafting effective prompts and refining results

      • Wrapping up: GenAI literacy for everyday use

      • Final Q&A and resources for continued learning

  • Why take this course?

    This 24-hour introductory course is designed for absolute beginners who want to understand Generative AI (GenAI) and how it is transforming industries. Through 8 engaging sessions, participants will explore how GenAI works, what it's good at (and what it isn't), and how to begin using GenAI tools in real-world scenarios. You’ll gain foundational knowledge of the technologies behind GenAI, including large language models (LLMs), image generation, and audio synthesis. We'll also discuss the risks,
    ethical concerns, and current limitations to using GenAI responsibly. By the end of the course, learners will be confident in using popular GenAI tools, understanding how they work under the hood, and recognizing their potential and boundaries in various applications.


    No prior technical knowledge is required.

    Unlock the power of Generative AI in just four weeks. This hands-on, beginner-friendly course will take you from zero to confident user by exploring how GenAI tools like ChatGPT, DALL·E, and others work—and how they’re being used across industries. Learn what GenAI can (and can’t) do, experiment with leading tools, and understand the ethical, legal, and societal implications of this rapidly evolving technology. Whether you're a business professional, educator, artist, or curious learner, this course offers practical skills and critical insights to help you navigate and apply GenAI effectively.

    What will you receive upon completion?

    Certificate of Completion, and Badge to use across Professional Platforms

    What will you learn each week?

    • Session 1: What is Generative AI? A Beginner’s Map

      • What is GenAI? Definitions and context

      • Evolution: From early AI to Generative AI

      • Examples in action: ChatGPT, DALL·E, Midjourney, GitHub Copilot, etc.

      • Real-world applications (business, education, art, software, etc.)

      • What GenAI can do today

      Session 2: How Generative AI Works — The Basics (No Math!)

      • What is a model? What is "training"?

      • Overview of LLMs, diffusion models, GANs, VAEs

      • Why GenAI seems smart (but isn’t conscious)

      • Tokens, prompts, hallucinations explained

      • Limitations of current models and where they break

    • Session 3: Exploring Text-Based GenAI (LLMs like ChatGPT, Claude, Gemini)

      • How LLMs generate language

      • Prompting basics: getting what you want

      • Use cases: summarization, writing, planning, coding

      • Prompt engineering basics and best practices

      • Limitations and risks of text-based GenAI

      Session 4: GenAI for Images, Audio, and Video

      • Overview of image generation tools (DALL·E, Midjourney, Stable Diffusion)

      • Basics of how image GenAI works (diffusion explained simply)

      • Intro to audio and music GenAI (e.g., Suno, ElevenLabs)

      • Video GenAI (e.g., Runway, Sora—emerging tools)

      • Demos and ethical considerations (deepfakes, misuse, bias)

    • Session 5: Real-World Use Cases and Tools

      • Business use: marketing, productivity, customer service

      • Education use: tutoring, writing support, personalized learning

      • Design, art, and creative content

      • GenAI in software development and automation

      • Demo of multi-modal GenAI tools (text+image, text+code)

      Session 6: What GenAI Can’t Do (Yet)

      • Understanding hallucination and misinformation

      • Reasoning, logic, and factual gaps

      • Biases and fairness in GenAI

      • Creativity vs replication: is GenAI truly creative?

      • The future: AGI vs narrow GenAI

    • Session 7: Ethics, Risks, and Responsible Use

      • Copyright and IP issues

      • Deepfakes, misinformation, and manipulation

      • AI safety and alignment challenges

      • Open vs closed-source models

      • Regulatory trends (Canada, EU, US, etc.)

      Session 8: Hands-On Workshop: Build Your Own GenAI Workflow

      • Choose a use case (content creation, customer response, design, etc.)

      • Hands-on with GenAI tools (text, image, audio)

      • Crafting effective prompts and refining results

      • Wrapping up: GenAI literacy for everyday use

      • Final Q&A and resources for continued learning

  • Why take this course?

    This 24-hour introductory course offers a hands-on, non-technical introduction to the most impactful AI tools available today. Designed for curious beginners from any background, the course showcases real-world applications of AI in writing, image creation, productivity, communication, data analysis, and more. Through guided demos and hands-on practice, learners will discover how to use AI tools to boost creativity, improve efficiency, and solve everyday problems - no programming required. By the end of the course, participants will understand the capabilities, limitations, and best uses of today’s most promising AI tools, and feel empowered to start using them in their personal and professional lives.

    AI is no longer just for coders and data scientists—it’s for everyone. This beginner-friendly course introduces you to today’s most powerful and accessible AI tools, from ChatGPT to Canva AI, and shows you how to use them to write faster, design smarter, automate tasks, create content, and more. Learn by doing through real-world demos and hands-on challenges as you build your own custom AI toolkit. Whether you're a professional, student, entrepreneur, or just curious, this course will show you what’s possible when AI works with you.

    What will you receive upon completion?

    Certificate of Completion, and Badge to use across Professional Platforms

    What will you learn each week?

    • Session 1: Welcome to the AI Tool Ecosystem

      • What are AI tools and why are they everywhere now?

      • Categories of AI tools: text, images, audio, video, productivity, etc.

      • Core concepts: Generative AI, automation, personalization

      • Intro to foundational tools: ChatGPT, DALL·E, Grammarly, Notion AI

      • Hands-on: Try your first AI-assisted task

      Session 2: Text-Based Tools and Assistants

      • ChatGPT, Claude, Gemini: what they can do and how they differ

      • Writing support: GrammarlyGO, Jasper, Notion AI

      • Email, reports, summarization, translation, and rewriting

      • Hands-on: Crafting prompts and workflows for writing tasks 

    • Session 3: Visual AI: From Images to Design

      • Image generators: DALL·E, Canva AI, Adobe Firefly

      • Design help: Layout suggestions, branding ideas, social media content

      • Practical uses: marketing, personal branding, storytelling

      • Hands-on: Create custom visuals with AI

      Session 4: Audio, Video, and Voice AI Tools

      • Voice AI: ElevenLabs, Descript

      • Music generation: Suno AI, Soundraw

      • Video tools: Synthesia, Runway, Pictory

      • Use cases: explainer videos, training, podcasts, voiceovers

      • Hands-on: Generate a short video or podcast clip

    • Session 5: AI Tools for Productivity & Automation

      • Notion AI, Microsoft Copilot, Google Duet, Superhuman

      • Meeting transcription: Otter.ai, Fireflies

      • Scheduling, brainstorming, note-taking, content planning

      • Hands-on: Build a personal productivity stack with AI

      Session 6: AI for Data and Research

      • Tools: ChatGPT (with data plugins), Perplexity AI, Browse AI

      • AI search and research assistants

      • Visualizing data with AI: ChatGPT + charts, Power BI integrations

      • Hands-on: Use AI to analyze or summarize a dataset or research topic

    • Session 7: Responsible Use and Tool Comparison

      • AI hallucination and fact-checking

      • Privacy, data ownership, copyright

      • Free vs paid tools: what’s worth it?

      • Tool longevity and choosing sustainable platforms

      • Hands-on: Compare tool results for the same task

      Session 8: Build Your Own AI Toolkit (Capstone Workshop)

      • Pick your domain: business, education, content creation, etc.

      • Identify useful tools for your goals

      • Build a repeatable AI-powered workflow

      • Final showcase: present your personalized AI toolkit

APPLIED
COURSES

8 courses

  • Why take this course?

    This 24-hour introductory course explores the transformative potential of Artificial Intelligence across architecture, design, and fashion. Learners will gain hands-on experience with a variety of AI-powered tools for conceptual design, spatial optimization, generative modeling, digital fabrication, and trend forecasting. While the course introduces tools like Archilogic and Runway ML, it also includes broader applications across leading platforms, equipping students with a strong foundation for creative, sustainable, and future-forward workflows.

    AI is reshaping the way we build spaces, create experiences, and express style. This beginner-friendly course introduces you to the most exciting AI tools revolutionizing architecture, design, and fashion — from intelligent space planning and generative geometry to pattern making and trend visualization. With hands-on projects and real-world examples, you’ll build a toolkit to enhance creativity, efficiency, and innovation in your design practice.

    What will you receive upon completion?

    Certificate of Completion, and Badge to use across Professional Platforms

    What will you learn each week?

    • Session 1: The AI Revolution in the Creative Built Environment

      • Overview: AI in architecture, product design, and fashion

      • Real-world applications: design automation, simulation, personalization

      • Key tools: Archilogic, Midjourney, Runway ML

      • Hands-on: Generate mood boards across three disciplines using AI image tools

      Session 2: Generative Ideation and Form Exploration

      • Multi-step reasoning: from LLMs to planning agents

      • Task decomposition and sub-goal generation

      • Prompt-chaining vs autonomous reasoning

      • Case study: An AI that plans a marketing campaign or writes code

    • Session 3: AI for Space Planning and Layout Design

      • Spatial efficiency, adjacency logic, and automated layouts

      • Tools: Archilogic, Finch 3D, Spacemaker AI

      • Hands-on: Use Archilogic to create and optimize an interior layout

      Session 4: Procedural Modeling and Customization

      • Using parametric workflows for architecture and product design

      • Tools: Rhino + Grasshopper, Autodesk Forma, Clo3D (fashion)

      • Hands-on: Generate a procedural object or garment component

    • Session 5: AI-Driven Visualization Across Disciplines

      • Visual storytelling: renders, fashion shows, product showcases

      • Tools: Lumion AI, Adobe Firefly, Runway ML

      • Hands-on: Create branded visuals and presentations with AI

      Session 6: Fashion and Trend Forecasting with AI

      • Pattern recognition, color palette evolution, user personalization

      • Tools: Fashwell, Heuritech, ChatGPT for trend summaries

      • Hands-on: Generate a fashion trend forecast using image and text AI

    • Session 7: Ethics, Authenticity, and Responsible Use of AI

      • Design authorship and originality in a generative world

      • Data bias, sustainability, and cultural sensitivity in AI design

      Session 8: Capstone Workshop – AI Design Fusion

      • Choose a focus: architecture, product, or fashion

      • Apply AI tools across concept, modeling, and visualization

      • Present a multi-phase design story with peer feedback

  • Why take this course?

    This 24-hour specialization course introduces students to the use of AI tools to enhance spatial layout, space efficiency, and design performance. Focusing on applications in architecture and interior design, the course provides hands-on experience with tools such as Archilogic, Finch 3D, and Spacemaker AI. Students will learn how to automate layout generation, optimize adjacencies, and adapt designs to diverse functional and spatial constraints.

    Design smarter, faster, and more efficiently. In this hands-on course, students will learn to apply AI tools for intelligent space layout, test-fits, and optimization of interior and architectural designs. Using platforms like Archilogic and Finch 3D, students will master the art of automated space planning and performance-driven design.

    What will you receive upon completion?

    Certificate of Completion, and Badge to use across Professional Platforms

    What will you learn each week?

    • Session 1: Principles of AI-Driven Space Planning

      • AI in architecture and spatial logic

      • Adjacency matrices and circulation efficiency

      • Hands-on: Visualize a basic layout in Archilogic

      Session 2: Intelligent Layout Generation

      • Rules-based layout engines vs. AI-generated planning

      • Tools: Finch 3D, Spacemaker AI

      • Hands-on: Generate a space plan using Finch AI modules

    • Session 3: Functional Zoning and Space Efficiency

      • Automating zoning for residential, retail, office spaces

      • Measuring efficiency and performance ratios

      • Hands-on: Apply test-fit layouts to a small commercial site

      Session 4: Adaptive Reuse and Flexibility with AI

      • Reconfiguring space with intelligent design strategies

      • Hands-on: Use Archilogic to transform an outdated plan into a co-working space

    • Session 5: Data-Driven Optimization Metrics

      • Using AI to simulate human movement, lighting, and privacy

      • Tools: Spacemaker AI daylight and noise simulation

      • Hands-on: Improve a layout based on AI feedback

      Session 6: Real-Time Collaboration and Feedback Loops

      • AI-assisted iteration and stakeholder reviews

      • Hands-on: Live iterate and refine a layout in a shared platform

    • Session 7: Design Ethics and Limitations of AI Tools

      • Bias in generative layouts and creative control

      • Responsibility in spatial automation

      Session 8: Capstone – Spatial Optimization Project

      • Choose a project type (residential, retail, adaptive reuse)

      • Apply layout and zoning logic with AI tools

      • Present design evolution and rationale

  • Why take this course?

    This 24-hour specialization course introduces students to the use of generative algorithms and parametric logic for product, furniture, and architectural form design. Focusing on Rhino + Grasshopper, Autodesk Forma, and Fusion 360, students will explore rule-based modeling, multi-objective optimization, and adaptive geometry workflows. Ideal for designers looking to create smart, responsive, and performance-driven objects and environments.

    Design with intelligence and adaptability. In this hands-on course, you'll learn to model products, structures, and facades using AI-enhanced parametric systems. Master platforms like Grasshopper and Forma to explore generative possibilities that respond to performance, context, and user needs.

    What will you receive upon completion?

    Certificate of Completion, and Badge to use across Professional Platforms

    What will you learn each week?

    • Session 1: Introduction to Parametric Design Thinking

      • Concepts: logic-based design, adaptive form generation

      • Tools: Rhino + Grasshopper, Autodesk Forma

      • Hands-on: Model a shape responsive to user inputs

      Session 2: Building Parametric Systems

      • Rules, inputs, and variables in design models

      • Hands-on: Create a modular furniture form with parametric constraints

    • Session 3: Multi-Objective Optimization with AI

      • Balancing performance goals (light, ventilation, strength)

      • Tools: Forma AI goal setting, Fusion 360 generative solver

      • Hands-on: Generate alternatives based on contextual data

      Session 4: Procedural Geometry for Architecture and Product Design

      • Generating patterns, structure, and repeatable forms

      • Hands-on: Build a facade system or wearable component using rules

    • Session 5: Simulation and Feedback Integration

      • Using environmental and structural feedback to refine form

      • Tools: Forma, Fusion 360 simulation modules

      • Hands-on: Modify generative outputs using solar/wind data

      Session 6: Real-Time Parametric Collaboration

      • Co-creating with parametric tools in team settings

      • Hands-on: Team-based parametric sketching in Rhino/Grasshopper

    • Session 7: Ethics of Generative and Automated Design

      • Responsibility in automated decision-making

      • Transparency and authorship of generated forms

      Session 8: Capstone – Generative Design Showcase

      • Choose a focus: architectural system, product, or wearable

      • Present design logic, iterations, and performance evaluation

  • Why take this course?

    This 24-hour course equips students with the knowledge and tools to use AI in the fashion design process, from concept to digital garment prototyping. It focuses on tools such as CLO3D, Runway ML, Fashwell, and Heuritech to automate pattern generation, predict style trends, and simulate garments in 3D environments. Students will gain hands-on experience developing AI-enhanced fashion concepts ready for virtual display or physical realization.

    From virtual models to predictive styles, fashion is going digital. Learn how AI is transforming garment design, fitting, and forecasting with the power of CLO3D, Runway ML, and Heuritech. Design, simulate, and showcase your fashion ideas in 3D with trend-aware intelligence.

    What will you receive upon completion?

    Certificate of Completion, and Badge to use across Professional Platforms

    What will you learn each week?

    • Session 1: Fashion Ideation and Style Generation with AI

      • Visual exploration using Runway ML and Midjourney

      • Creating moodboards and silhouettes from prompts

      • Hands-on: Generate a style concept using image AI

      Session 2: Digital Pattern Design and Modularity

      • Automating pattern blocks and textile visualization

      • Tools: CLO3D, Fashwell

      • Hands-on: Create and edit a digital pattern in CLO3D

    • ​Session 3: Garment Simulation and Virtual Fit

      • Physics-based simulation and AI enhancements

      • Tools: CLO3D, Runway integration

      • Hands-on: Simulate a full outfit and test virtual fitting

      Session 4: 3D Fashion Presentation and Rendering

      • Render setup, lighting, and avatar display

      • Tools: CLO3D, Runway ML animation tools

      • Hands-on: Export a fashion animation with effects

    • Session 5: Fashion Forecasting and Consumer Trends

      • AI trend prediction models and color analysis

      • Tools: Heuritech, ChatGPT, Instagram image datasets

      • Hands-on: Generate a seasonal style trend report

      Session 6: Personalization and Adaptive Fashion

      • Smart recommendations and style matching

      • Hands-on: Use AI to create user-specific style lines

    • Session 7: Ethics in Digital Fashion and AI Design

      • Cultural sensitivity, size diversity, and bias mitigation

      Session 8: Capstone – AI Fashion Line Showcase

      • Design a mini digital collection using all tools

      • Present renderings, simulations, and a trend strategy

  • Why take this course?

    This 24-hour course introduces students to cutting-edge AI tools for visual storytelling across architecture, design, and fashion. Using platforms like Adobe Firefly, PromeAI, and Runway, learners will generate high-impact visuals, brand assets, and promotional media. Ideal for designers seeking to amplify their creative communication and marketing impact.

    Bring your ideas to life. In this visual storytelling course, learn how AI tools like PromeAI, Adobe Firefly, and Runway can help you create stunning renders, cinematic edits, and branded visual assets. From social posts to product campaigns, let AI elevate your design direction.

    What will you receive upon completion?

    Certificate of Completion, and Badge to use across Professional Platforms

    What will you learn each week?

    • Session 1: Introduction to AI Visualization Techniques

      • Overview of creative tools for rendering and media

      • Tools: Midjourney, Firefly, Runway

      • Hands-on: Create a branded collage or poster

      Session 2: AI for Photography and Lighting Effects

      • Scene enhancement, relighting, and edits

      • Tools: Runway Gen-2, Firefly photo modes

      • Hands-on: Transform a product or model image with AI

    • Session 3: Motion and Animation in Visual Storytelling

      • Animating moodboards and product scenes

      • Tools: Runway, Kaiber, Kaedim

      • Hands-on: Animate a 3D scene or runway visual

      Session 4: Visual Identity and Brand Generation

      • Creating style boards, logos, and packaging assets

      • Tools: Firefly, PromeAI brand kits

      • Hands-on: Develop a branded visual toolkit

    • Session 5: Social and Promotional Campaign Design

      • Creating digital ads and interactive content with AI

      • Hands-on: Produce a visual campaign for a launch

      Session 6: Cross-Platform Media Integration

      • Preparing assets for web, print, and AR/VR

      • Hands-on: Export visuals for use across mediums

    • Session 7: Ethics of Synthetic Visuals and Manipulation

      • Truth in imagery, consent, and realism vs. fiction

      Session 8: Capstone – AI Visual Campaign Project

      • Create a visual identity and campaign using multiple tools

      • Present in a digital format with storytelling structure

  • Why take this course?

    ​This 24-hour course introduces students to AI-driven methods for identifying and forecasting design, fashion, and consumer trends. Using tools such as ChatGPT, Heuritech, Google Trends, and Tableau AI, students will learn to analyze market behavior, anticipate style cycles, and generate predictive insights for creative industries.

    See the future of design before it happens. In this strategic course, you'll explore how AI tools can forecast market trends, identify emerging patterns, and support data-informed creative direction. Perfect for design managers, fashion directors, and branding strategists.

    What will you receive upon completion?

    Certificate of Completion, and Badge to use across Professional Platforms

    What will you learn each week?

    • Session 1: Introduction to Trend Intelligence with AI

      • Understanding trend evolution and lifecycle

      • Tools: Heuritech, ChatGPT

      • Hands-on: Analyze emerging visual trends using AI

      Session 2: Image-Based Trend Detection

      • Recognizing patterns and style elements in visual datasets

      • Tools: Fashwell, Heuritech image clustering

      • Hands-on: Use AI to track a style trend across fashion weeks

    • Session 3: Text-Based Forecasting and Prompt Analysis

      • Natural language processing (NLP) for market scanning

      • Tools: ChatGPT, Google Trends

      • Hands-on: Summarize trends from online publications and social feeds

      Session 4: Consumer Insights and Sentiment Analysis

      • Mining user preferences and emotional response data

      • Tools: Tableau AI, online reviews, social media APIs

      • Hands-on: Analyze customer sentiment toward product launches

    • Session 5: Predictive Dashboards for Design Strategy

      • Building AI-supported trend dashboards

      • Hands-on: Create a trendboard using real-time data inputs

      Session 6: Niche vs. Macro Trends and Localization

      • Segmentation, demographic profiling, and regional divergence

      • Hands-on: Compare regional trend forecasts using AI tools

    • Session 7: Ethical Forecasting and Consumer Privacy

      • Bias, overfitting, and responsible data use in forecasting

      Session 8: Capstone – Trend Forecast Portfolio

      • Develop a forecast for a sector (fashion, interiors, product)

      • Include visuals, insights, and strategy presentation

  • Why take this course?

    This 24-hour course empowers students to design with sustainability in mind by applying AI tools for environmental impact evaluation, material intelligence, and performance analysis. Through the use of Cove.tool, Autodesk Insight, and AI-powered LCA platforms, students will learn to model energy use, emissions, and sustainable sourcing across fashion, product, and architectural workflows.

    Design better for the planet. Learn how to use AI tools to analyze performance, reduce impact, and create smarter, more sustainable solutions across design disciplines. Perfect for eco-conscious creatives in fashion, product design, and architecture.

    What will you receive upon completion?

    Certificate of Completion, and Badge to use across Professional Platforms

    What will you learn each week?

    • Session 1: Introduction to AI in Sustainable Design

      • Carbon impact, EUI, and circular design metrics

      • Tools: Cove.tool, Insight

      • Hands-on: Analyze baseline performance of a building or product

      Session 2: Material Intelligence and Life Cycle Analysis (LCA)

      • Evaluating materials through AI databases

      • Hands-on: Compare alternatives based on embodied carbon and reusability

    • Session 3: Fashion Sustainability with AI

      • AI-driven supply chain analysis and waste modeling

      • Tools: AI textile platforms, online LCA calculators

      • Hands-on: Model sustainable garment production

      Session 4: Passive Strategies and Smart Optimization

      • Energy modeling and responsive adaptation

      • Tools: Autodesk Insight, Rhino plugins

      • Hands-on: Optimize a design for daylight and thermal comfort

    • Session 5: Generative Design for Environmental Goals

      • Using AI to generate eco-efficient geometry

      • Hands-on: Build and test forms using performance-based metrics

      Session 6: Smart Reporting and Client Communication

      • Creating impact reports with visual dashboards

      • Hands-on: Generate a sustainability dashboard using AI tools

    • Session 7: Ethics and Greenwashing in Design Tech

      • Responsible marketing and claims in sustainability

      Session 8: Capstone – Sustainable Design Pitch

      • Develop a sustainable concept using AI tools

      • Present a visual and data-backed pitch to peers

  • Why take this course?

    This 24-hour course explores AI’s role in shaping responsive, inclusive, and resilient urban environments. Learners will use tools like Urban AI, TestFit, and Archilogic to simulate density, optimize mobility networks, and evaluate environmental performance at city scale.

    Cities of the future are data-driven. Learn how AI transforms zoning, circulation, and climate modeling at scale to support sustainable and equitable design. Great for architects, planners, and civic designers looking to level up their urban strategy.

    What will you receive upon completion?

    Certificate of Completion, and Badge to use across Professional Platforms

    What will you learn each week?

    • Session 1: Urban Complexity and AI Toolkits

      • City-scale datasets and simulation workflows

      • Tools: Urban AI, TestFit, Archilogic

      • Hands-on: Massing and road layout optimization

      Session 2: Environmental Simulation and Resilience

      • AI for climate overlays, flood zones, and noise mapping

      • Hands-on: Add and interpret layers in an urban model

    • Session 3: Mobility, Accessibility, and Equity

      • Public space metrics, pedestrian simulation, walkability

      • Hands-on: Simulate movement across a proposed urban grid

      Session 4: AI in Zoning and Land Use Allocation

      • Mixed-use logic, upzoning, FAR projections

      • Hands-on: Generate land use mix and test code compliance

    • Session 5: Scenario Planning and Design Alternatives

      • Generating and comparing future growth options

      • Hands-on: Create urban design alternatives using AI tools

      Session 6: Participatory Design and Visualization

      • Engaging communities with visual tools and AI storytelling

      • Hands-on: Build a public-facing visual pitch for urban ideas

    • Session 7: Ethics of Predictive Urbanism

      • Bias, surveillance, and social impact

      Session 8: Capstone – AI Urban Vision Plan

      • ​Create a high-level urban or neighborhood strategy using AI tools

      • Present your final output and defend the logic and values behind it

ARTS, MEDIA, & ENTERTAINMENT

Course Registration

Ready to take the next step? Browse our available and upcoming courses below and secure your spot today. Don’t miss out—enroll now to unlock new opportunities!

COURSE NAME
COURSE DURATION
COURSE FEE
REGISTRATION

Foundations of Agentic AI: Building Intelligent, Goal-Directed Systems

Month Year - Month Year

Session / Time

$xxxx

Registration Opens Month Year

Prompt Engineering for Beginners: Mastering the Language of AI

Month Year - Month Year

Session / Time

$xxxx

Registration Opens Month Year

Introduction to Generative AI

Month Year - Month Year

Session / Time

$xxxx

Registration Opens Month Year

Introduction to AI Tools: Exploring What’s Possible

Month Year - Month Year

Session / Time

$xxxx

Registration Opens Month Year
ARCHITECTURE, DESIGN AND FASHION

Experential Learning

​By completing a Conifer 2C course, students gain exclusive access to upcoming charrettes, research projects, and pilot placement opportunities - bridging learning with real-world innovation.

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Charrette

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Research Project

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Pilot Placement

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