Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

In this course, you'll learn how a 3D software renderer works by coding a complete 3D rasterizer from scratch in C. • math review • wireframe • flat-shaded polygons • texture mapping • loading OBJ files • camera • clipping • etc. Enroll now: 🔗

pikuma.com

26,243 subscribers

34,493 views • 3 years ago •via X (Twitter)

Education Arts Science & Technology

Anya Rossi• Live Now

Private livecam show

11 Comments

Mehmet Akyüz3 years ago

The best course on software rendering. If you're into graphics programming, there you go, Gustavo will hold your hand gently.

Graeme3 years ago

I’m busy doing this course. It’s brilliant. Do it.

Kknewkles Wildwision3 years ago

Does the course process multi-group and multi-object OBJ files? Asking for a friend... 😂 (Pure curiosity, actually. Working on OBJ parsing at the moment and some _miscreant_ meshes were detected in the wild)

pikuma.com3 years ago

It's "the simplest thing that works" approach. We open a raw OBJ file and start reading vertices, faces, UV coords, and then we proceed to render that data. Our code is one 3D object per-file, but we can render multiple 3D objects/meshes in one scene.

Alex3 years ago

looks great! for someone with very basic experience using an existing API (opengl) how well does this course transfer over to that kind of skill?

pikuma.com3 years ago

I'm biased, but I think this course is *exactly* for those students. You probably won't need to implement this yourself, but it helps to clarify why OpenGL does things the way it does (or Direct3D, or Vulkan, etc.) The content is agnostic to the graphics API you choose to use.

Yamaheru3 years ago

I'd be amazing if it'd regional pricing :(

Steve Moffett2 years ago

I’m probably thinking wayyyyy too far into the future and making big assumptions with this question, but out of curiosity, if I made an application based on what I learn in this course, would I be bound by GPL or more restrictive software licenses?

pikuma.com2 years ago

The USP of my content are the lectures and the intuition you get from it. You're free to do whatever you want with the code, but I would not recommend using it on production anyway. Code is cheap; we can find everything on Github anyway. Understanding is king! 🙂

MrZinvixYT1 year ago

Which language will be used?

pikuma.com1 year ago

C99

Related Videos

I’m excited to share my new course, Stylized Retro Anime Style Illustration: A Complete Guide to Retro Style Shading in Blender 3d. Learn how to create cool retro effects with Blender. #b3d Enroll now at

I’m excited to share my new course, Stylized Retro Anime Style Illustration: A Complete Guide to Retro Style Shading in Blender 3d. Learn how to create cool retro effects with Blender. #b3d Enroll now at

Danish_Mir

153,626 views • 1 year ago

Built a 3D Pokémon Go with Replit ⠕ Agent's Gaming stack. From 3D model generation to complete games - all through prompting on Replit. Vibe coding these games feels like a glimpse into the future. Imagine how much kids can learn in vibe coding their own games.

Built a 3D Pokémon Go with Replit ⠕ Agent's Gaming stack. From 3D model generation to complete games - all through prompting on Replit. Vibe coding these games feels like a glimpse into the future. Imagine how much kids can learn in vibe coding their own games.

Zhen Li

97,604 views • 1 year ago

In this video, I’ll show you how to texture a realistic leather pouch bag in Substance Painter from scratch! #gameart #digitalart #3d #Material #Animation #leather #gamedesign #texturing #Substancepainter #substancepainter #Digital3D #madewithsubstance

In this video, I’ll show you how to texture a realistic leather pouch bag in Substance Painter from scratch! #gameart #digitalart #3d #Material #Animation #leather #gamedesign #texturing #Substancepainter #substancepainter #Digital3D #madewithsubstance

Javad Rajabzade

20,676 views • 1 year ago

🤔Is there such a thing as a 'cozy' coding game? In my game "Replicube" you replicate 3D objects made from cubes by writing simple code using math + logic. Available now on Steam (free demo too)

🤔Is there such a thing as a 'cozy' coding game? In my game "Replicube" you replicate 3D objects made from cubes by writing simple code using math + logic. Available now on Steam (free demo too)

Walaber

30,525 views • 1 year ago

$/／ Open beta now live! Introducing a brand new feature! \＼ On VRoid Studio, you can now... 🔸Dress VRChat models and VRM files 🔹in made-from-scratch 3D costumes 🔸and export your creations!🏃 ▼How to join the free open beta$

/／ Open beta now live! Introducing a brand new feature! \＼ On VRoid Studio, you can now... 🔸Dress VRChat models and VRM files 🔹in made-from-scratch 3D costumes 🔸and export your creations!🏃 ▼How to join the free open beta

Official VRoid

55,027 views • 1 year ago

AI can write more code than any team can review by hand, and a pull request can look fine while hiding a security issue or missing a requirement. In our new short course, AI Code Review, built in collaboration with Qodo and taught by Nnenna 👩🏽‍💻✨, you'll learn the practices that make AI code review effective: review before you open a pull request, give the reviewer full context about your codebase, and triage findings by risk. Then you'll build your own review agent, from a context engine that finds the right code to a team of specialized reviewers. Enroll for free:

AI can write more code than any team can review by hand, and a pull request can look fine while hiding a security issue or missing a requirement. In our new short course, AI Code Review, built in collaboration with Qodo and taught by Nnenna 👩🏽‍💻✨, you'll learn the practices that make AI code review effective: review before you open a pull request, give the reviewer full context about your codebase, and triage findings by risk. Then you'll build your own review agent, from a context engine that finds the right code to a team of specialized reviewers. Enroll for free:

DeepLearning.AI

52,463 views • 6 days ago

Introducing "codebase to course", a skill that turns any codebase into an interactive coding course So that you can learn coding through your own projects, complete with visualization, plain-English code translations, metaphors, even quizzes... I vibe code a lot but have no idea how the code works under the hood. This is how I think "learning to code" should be in the AI age: Build first, learn later Link below

Introducing "codebase to course", a skill that turns any codebase into an interactive coding course So that you can learn coding through your own projects, complete with visualization, plain-English code translations, metaphors, even quizzes... I vibe code a lot but have no idea how the code works under the hood. This is how I think "learning to code" should be in the AI age: Build first, learn later Link below

Zara Zhang

206,251 views • 4 months ago

THIS GUY VIBE CODED A TRUE 3D PROPERTY TOUR TOOL WITH CLAUDE CODE not the fake 360 photo stitching that matterport does, actual 3D right now if you're a real estate agent and want a property tour you need: > a matterport camera ($3000+) > a photographer who knows how to use it > matterport's monthly subscription > and you still get a glorified panorama, not real 3D this guy built a tool that takes your existing captures (camera files, drone shots, 360 photos, EVEN phone captures) and turns them into a real interactive 3D tour in one workflow no specialized hardware, no photographer, no switching between 5 different tools real estate agents, property managers, airbnb hosts, architects, interior designers all of them are paying hundreds per property for something this tool does from captures they already have the painful part was never understanding the end result. everyone knows what a 3D tour looks like. the pain is going from a pile of messy capture files to something usable without it turning into a technical project this solves that with one workflow you dump your files in and get a 3D tour out insane what you can do with vibe coding

THIS GUY VIBE CODED A TRUE 3D PROPERTY TOUR TOOL WITH CLAUDE CODE not the fake 360 photo stitching that matterport does, actual 3D right now if you're a real estate agent and want a property tour you need: > a matterport camera ($3000+) > a photographer who knows how to use it > matterport's monthly subscription > and you still get a glorified panorama, not real 3D this guy built a tool that takes your existing captures (camera files, drone shots, 360 photos, EVEN phone captures) and turns them into a real interactive 3D tour in one workflow no specialized hardware, no photographer, no switching between 5 different tools real estate agents, property managers, airbnb hosts, architects, interior designers all of them are paying hundreds per property for something this tool does from captures they already have the painful part was never understanding the end result. everyone knows what a 3D tour looks like. the pain is going from a pile of messy capture files to something usable without it turning into a technical project this solves that with one workflow you dump your files in and get a 3D tour out insane what you can do with vibe coding

Om Patel

157,722 views • 2 months ago

New course: Build and Train an LLM with JAX, built in partnership with Google and taught by Chris Achard. JAX is the open-source library behind Google's Gemini, Veo, and other advanced models. This short course teaches you to build and train a 20-million parameter language model from scratch using JAX and its ecosystem of tools. You'll implement a complete MiniGPT-style architecture from scratch, train it, and chat with your finished model through a graphical interface. Skills you'll gain: - Learn JAX's core primitives: automatic differentiation, JIT compilation, and vectorized execution - Build a MiniGPT-style LLM using Flax/NNX, implementing embedding and transformer blocks - Load a pretrained MiniGPT model and run inference through a chat interface Come learn this important software layer for building LLMs!

New course: Build and Train an LLM with JAX, built in partnership with Google and taught by Chris Achard. JAX is the open-source library behind Google's Gemini, Veo, and other advanced models. This short course teaches you to build and train a 20-million parameter language model from scratch using JAX and its ecosystem of tools. You'll implement a complete MiniGPT-style architecture from scratch, train it, and chat with your finished model through a graphical interface. Skills you'll gain: - Learn JAX's core primitives: automatic differentiation, JIT compilation, and vectorized execution - Build a MiniGPT-style LLM using Flax/NNX, implementing embedding and transformer blocks - Load a pretrained MiniGPT model and run inference through a chat interface Come learn this important software layer for building LLMs!

Andrew Ng

192,853 views • 5 months ago

Claude Code creator: “100% of my code has been written by Claude since Opus 4.5. most of my coding routine is automated by loops & dynamic workflows" In this 40-minute video, Boris shares how to build a self-improving agentic setup from scratch. Loops + dynamic workflows + auto mode + routines - that’s the secret. Worth more than a $500 vibe-coding course. Watch today, then read below to learn how to build the same workflow.

Claude Code creator: “100% of my code has been written by Claude since Opus 4.5. most of my coding routine is automated by loops & dynamic workflows" In this 40-minute video, Boris shares how to build a self-improving agentic setup from scratch. Loops + dynamic workflows + auto mode + routines - that’s the secret. Worth more than a $500 vibe-coding course. Watch today, then read below to learn how to build the same workflow.

Codez

118,676 views • 1 month ago

How to Create a Spinning Globe 🌍 with Your Own Data Layers (No Coding Required) Learn how to create a spinning 3D globe map without writing any code using a simple web-based tool. In this step-by-step geospatial tutorial, you'll see how to build an interactive spinning globe, overlay raster and vector data layers, and visualize datasets directly in your browser or in a Jupyter Notebook environment. Web-based demo: Jupyter notebook demo: Video tutorial: #geospatial #opensource #python #jupyter #maplibre

How to Create a Spinning Globe 🌍 with Your Own Data Layers (No Coding Required) Learn how to create a spinning 3D globe map without writing any code using a simple web-based tool. In this step-by-step geospatial tutorial, you'll see how to build an interactive spinning globe, overlay raster and vector data layers, and visualize datasets directly in your browser or in a Jupyter Notebook environment. Web-based demo: Jupyter notebook demo: Video tutorial: #geospatial #opensource #python #jupyter #maplibre

Qiusheng Wu

12,704 views • 5 months ago

📢 New short course in collaboration with Google: Build and Train an LLM with JAX. In this course, you’ll implement and train a 20M-parameter MiniGPT-style language model from scratch using JAX, the open-source library behind Gemini. You’ll build the model architecture, load and preprocess training data, implement the training loop, save checkpoints, and generate text through a chat interface. Taught by Chris Achard, Developer Relations Engineer on Google’s TPU Software team. Enroll now:

📢 New short course in collaboration with Google: Build and Train an LLM with JAX. In this course, you’ll implement and train a 20M-parameter MiniGPT-style language model from scratch using JAX, the open-source library behind Gemini. You’ll build the model architecture, load and preprocess training data, implement the training loop, save checkpoints, and generate text through a chat interface. Taught by Chris Achard, Developer Relations Engineer on Google’s TPU Software team. Enroll now:

DeepLearning.AI

46,065 views • 5 months ago

Learn Cursor in 5 minutes! Join my Cursor course which includes 17 videos building full apps from scratch with project files. Link in comment Repost this tweet and I will send the “how to build an AI scientist” video from my Cursor Course This will serve as an example taste of what you can expect from my 1000x Cursor course. I will DM you with a download link after you repost. #CursorAI #Cursor

Learn Cursor in 5 minutes! Join my Cursor course which includes 17 videos building full apps from scratch with project files. Link in comment Repost this tweet and I will send the “how to build an AI scientist” video from my Cursor Course This will serve as an example taste of what you can expect from my 1000x Cursor course. I will DM you with a download link after you repost. #CursorAI #Cursor

echo.hive

73,935 views • 1 year ago

A new short course, Claude Code: A Highly Agentic Coding Assistant, is live! Claude Code is currently one of the most capable coding assistants. It can explore your codebase, plan features, write tests, refactor code, and even collaborate across multiple sessions—with surprisingly minimal input. In this course, you’ll learn how to guide Claude Code effectively: from setting up context and memory to integrating with GitHub and MCP servers. You’ll use it to extend a RAG chatbot, refactor a Jupyter notebook for e-commerce data analysis, build a web app from a Figma design, and more. Taught by Elie Schoppik (Elie Schoppik) and built in collaboration with Anthropic, this course is a must for AI builders. 👉 Enroll now:

A new short course, Claude Code: A Highly Agentic Coding Assistant, is live! Claude Code is currently one of the most capable coding assistants. It can explore your codebase, plan features, write tests, refactor code, and even collaborate across multiple sessions—with surprisingly minimal input. In this course, you’ll learn how to guide Claude Code effectively: from setting up context and memory to integrating with GitHub and MCP servers. You’ll use it to extend a RAG chatbot, refactor a Jupyter notebook for e-commerce data analysis, build a web app from a Figma design, and more. Taught by Elie Schoppik (Elie Schoppik) and built in collaboration with Anthropic, this course is a must for AI builders. 👉 Enroll now:

DeepLearning.AI

32,513 views • 1 year ago

DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior paper page: present DreamCraft3D, a hierarchical 3D content generation method that produces high-fidelity and coherent 3D objects. We tackle the problem by leveraging a 2D reference image to guide the stages of geometry sculpting and texture boosting. A central focus of this work is to address the consistency issue that existing works encounter. To sculpt geometries that render coherently, we perform score distillation sampling via a view-dependent diffusion model. This 3D prior, alongside several training strategies, prioritizes the geometry consistency but compromises the texture fidelity. We further propose Bootstrapped Score Distillation to specifically boost the texture. We train a personalized diffusion model, Dreambooth, on the augmented renderings of the scene, imbuing it with 3D knowledge of the scene being optimized. The score distillation from this 3D-aware diffusion prior provides view-consistent guidance for the scene. Notably, through an alternating optimization of the diffusion prior and 3D scene representation, we achieve mutually reinforcing improvements: the optimized 3D scene aids in training the scene-specific diffusion model, which offers increasingly view-consistent guidance for 3D optimization. The optimization is thus bootstrapped and leads to substantial texture boosting. With tailored 3D priors throughout the hierarchical generation, DreamCraft3D generates coherent 3D objects with photorealistic renderings, advancing the state-of-the-art in 3D content generation.

DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior paper page: present DreamCraft3D, a hierarchical 3D content generation method that produces high-fidelity and coherent 3D objects. We tackle the problem by leveraging a 2D reference image to guide the stages of geometry sculpting and texture boosting. A central focus of this work is to address the consistency issue that existing works encounter. To sculpt geometries that render coherently, we perform score distillation sampling via a view-dependent diffusion model. This 3D prior, alongside several training strategies, prioritizes the geometry consistency but compromises the texture fidelity. We further propose Bootstrapped Score Distillation to specifically boost the texture. We train a personalized diffusion model, Dreambooth, on the augmented renderings of the scene, imbuing it with 3D knowledge of the scene being optimized. The score distillation from this 3D-aware diffusion prior provides view-consistent guidance for the scene. Notably, through an alternating optimization of the diffusion prior and 3D scene representation, we achieve mutually reinforcing improvements: the optimized 3D scene aids in training the scene-specific diffusion model, which offers increasingly view-consistent guidance for 3D optimization. The optimization is thus bootstrapped and leads to substantial texture boosting. With tailored 3D priors throughout the hierarchical generation, DreamCraft3D generates coherent 3D objects with photorealistic renderings, advancing the state-of-the-art in 3D content generation.

AK

161,530 views • 2 years ago

Sharing our latest short course: Building and Evaluating Data Agents, created in collaboration with Snowflake and taught by Anupam Datta (Anupam Datta) and Josh Reini (Josh Reini). A data agent extracts data from sources such as files or databases, analyzes it, and provides insights and visualizes its findings. But most data agents struggle with reliability or can't handle multi-step reasoning. In this course, you'll learn to build, trace, and evaluate a multi-agent workflow that plans tasks, pulls context from structured and unstructured data, performs web search, and summarizes or visualizes the final results. Learn more and enroll for free!

Sharing our latest short course: Building and Evaluating Data Agents, created in collaboration with Snowflake and taught by Anupam Datta (Anupam Datta) and Josh Reini (Josh Reini). A data agent extracts data from sources such as files or databases, analyzes it, and provides insights and visualizes its findings. But most data agents struggle with reliability or can't handle multi-step reasoning. In this course, you'll learn to build, trace, and evaluate a multi-agent workflow that plans tasks, pulls context from structured and unstructured data, performs web search, and summarizes or visualizes the final results. Learn more and enroll for free!

DeepLearning.AI

40,852 views • 10 months ago

New AI Agentic course! Learn to use LangGraph to build single and multi-agent LLM applications in AI Agents in LangGraph. This short course, taught by LangChain founder Harrison Chase Harrison Chase and Tavily founder @weiss_rotem, shows how to integrate agentic search to enhance an agent's knowledge with query-focused answers in predictable formats. Also learn to implement agentic memory to save state for reasoning and debugging, and see how human-in-the-loop input can guide agents at key junctures. You'll build an agent from scratch, then reconstruct it with LangGraph to thoroughly understand the framework. Finally, you'll build a sophisticated essay-writing agent that incorporates all the learnings from the course. Sign up here!

New AI Agentic course! Learn to use LangGraph to build single and multi-agent LLM applications in AI Agents in LangGraph. This short course, taught by LangChain founder Harrison Chase Harrison Chase and Tavily founder @weiss_rotem, shows how to integrate agentic search to enhance an agent's knowledge with query-focused answers in predictable formats. Also learn to implement agentic memory to save state for reasoning and debugging, and see how human-in-the-loop input can guide agents at key junctures. You'll build an agent from scratch, then reconstruct it with LangGraph to thoroughly understand the framework. Finally, you'll build a sophisticated essay-writing agent that incorporates all the learnings from the course. Sign up here!

Andrew Ng

152,597 views • 2 years ago

I spent 1,000+ hours building with Framer so I could put together a comprehensive course on how to go from a complete beginner to a Framer Pro. In this Framer: Beginner to Pro 2.0 course, you'll master: - Framer fundamentals - Components - Working with CMS - Forms - 3D transforms - Animations & Effects - SEO & analytics & much more. At 90+ videos & 10+ hours of content, it's one of the most comprehensive courses out there. To celebrate the launch, I'm giving away 5 course seats for free. To get it, comment why you'd like to learn Framer and what you'll build with it. I'll pick 5 best answers. Retweets & your support are much appreciated 🫶

I spent 1,000+ hours building with Framer so I could put together a comprehensive course on how to go from a complete beginner to a Framer Pro. In this Framer: Beginner to Pro 2.0 course, you'll master: - Framer fundamentals - Components - Working with CMS - Forms - 3D transforms - Animations & Effects - SEO & analytics & much more. At 90+ videos & 10+ hours of content, it's one of the most comprehensive courses out there. To celebrate the launch, I'm giving away 5 course seats for free. To get it, comment why you'd like to learn Framer and what you'll build with it. I'll pick 5 best answers. Retweets & your support are much appreciated 🫶

Firdavs Abdunazarov

20,440 views • 1 year ago

Most C Programmers don't have a clue as to how the CPU works. Here is a lecture from my course on the C Language that introduces how to visualise the CPU as a C (or general software) Programmer.... More Details are at: Being able to model the behaviour of CPU provides a solid base to reason about your code. The summary is - - The CPU is a state machine which maintains it's states in registers. - It has busses to memory for requesting data/instruction read/writes. - Interrupts to attend to events. I discuss this and more in my course on the C Language.

Most C Programmers don't have a clue as to how the CPU works. Here is a lecture from my course on the C Language that introduces how to visualise the CPU as a C (or general software) Programmer.... More Details are at: Being able to model the behaviour of CPU provides a solid base to reason about your code. The summary is - - The CPU is a state machine which maintains it's states in registers. - It has busses to memory for requesting data/instruction read/writes. - Interrupts to attend to events. I discuss this and more in my course on the C Language.

Piyush Itankar

28,019 views • 1 year ago

AI coding agents aren't just about autocorrect, but how do you get the best coding experience with an AI-powered coding agent? In our new short course, Build Apps with Windsurf’s AI Coding Agents, you'll learn how to build, debug, and deploy applications with agentic AI-powered integrated development environment (IDE). AI coding agents, like Codeium's @windsurf, don’t just suggest code, they analyze your codebase, track changes, retrieve relevant information, and apply updates across multiple files. They can help debug, refactor, and even modernize legacy frameworks. But to use them effectively, you need the right approach. This new course shows you how to: 🛠️ Use AI agents to build and refine applications, like a Wikipedia analysis app. 🐞 Debug and refactor JavaScript with AI-assisted automation. 🔍 Understand how search and retrieval power AI coding agents. 🤖 Guide an AI agent effectively—prompting, iterating, and correcting when needed. Taught by Anshul Ramachandran (Anshul Ramachandran), this course gives you hands-on coding experience, insights into how these AI systems work under the hood, and best practices to improve your development workflow. 🔗 Enroll for free:

AI coding agents aren't just about autocorrect, but how do you get the best coding experience with an AI-powered coding agent? In our new short course, Build Apps with Windsurf’s AI Coding Agents, you'll learn how to build, debug, and deploy applications with agentic AI-powered integrated development environment (IDE). AI coding agents, like Codeium's @windsurf, don’t just suggest code, they analyze your codebase, track changes, retrieve relevant information, and apply updates across multiple files. They can help debug, refactor, and even modernize legacy frameworks. But to use them effectively, you need the right approach. This new course shows you how to: 🛠️ Use AI agents to build and refine applications, like a Wikipedia analysis app. 🐞 Debug and refactor JavaScript with AI-assisted automation. 🔍 Understand how search and retrieval power AI coding agents. 🤖 Guide an AI agent effectively—prompting, iterating, and correcting when needed. Taught by Anshul Ramachandran (Anshul Ramachandran), this course gives you hands-on coding experience, insights into how these AI systems work under the hood, and best practices to improve your development workflow. 🔗 Enroll for free:

DeepLearning.AI

23,255 views • 1 year ago