Most platforms focus on mass-market beginner skills. We believe that if you are beyond the "basics", you should have a platform dedicated to teach you cutting-edge skills. In the past 4 years, we taught 10,000+ engineers how to join the cutting-edge field.
For that, we have a proper sequence in place...
STEP 1
Are you tired of wandering from course to course without a real plan to become an autonomous tech engineer?
THE SELF-DRIVING CAR ENGINEER SYSTEM introduces you to the world of autonomous technologies, and teaches you a concrete step-by-step system to get recruited by top self-driving car companies.
This course is based on my experience in the field, as well as teaching hundreds of students how to build a clear and concrete action plan to join the cutting-edge field.
STEP 2
Don't want to go alone? Tired of being part of 20+ facebook groups, yet belonging nowhere?
The Edgeneer's Land is our advanced community membership experience. Unlike most communities, this one isn't free, and its purpose isn't to gather millions of members.
Instead, we manually select everyone, and make sure the place is a safe space. With this, members get access to continuous training, monthly mini-courses, members-only benefits, and access to a private community of autonomous tech engineers.
STEP 3
Think Autonomous is rapidly developing a collection of cutting-edge courses made to help engineers with existing AI and Computer Vision skills build intermediate to advanced skills. All our courses are all cutting-edge, regularly updated, research-friendly, and easy to follow.
Here are the courses we have available, split into 5 "journeys": Object Tracking, Intermediate Computer Vision, LiDARs, Robotics, and Advanced Deep Learning.
For mid-level engineers looking to convert their ordinary object detection skills into unique tracking skills.
For mid-level engineers aspiring to work on advanced applications of AI and Robotics such as Tracking or Sensor Fusion.
For Intermediate/Advanced Levels who want to Learn 3D Object Detection, 3D Object Tracking, and Build Advanced 4D Perception Projects.
For mid-level engineers looking to convert their ordinary object detection skills into unique object tracking skills.
For mid-level engineers aspiring to work on advanced applications of AI and Robotics such as Tracking or Sensor Fusion.
For Intermediate/Advanced Levels who want to Learn 3D Object Detection & Tracking, and Build Advanced 4D Perception Projects.
Learn how to build cutting-edge LiDAR Object Detection models using Deep Learning.
🔐 Warning: This course is very advanced and has been reserved to the engineers of the Deep Point Clouds Course only.
In this course, you'll learn about modern architectures and approaches to classify each pixel of an image.
In this course, you'll learn how to build Pseudo-LiDARs and 3D Computer Vision systems that find the 3D positions of obstacles.
In this course, you'll learn to build Flow Maps, analyze pixel motions across several frames, and process videos using Deep Learning.
In this course, you'll learn to build Bird Eye View Maps and turn them into inputs for Localization, Mapping, and Planning algorithms.
🔐 Warning: Like video games, DLCs are advanced versions of courses you can complete only when you complete the main course first (or prove you have the skills to enter). See conditions on each page before trying to enroll.
Understand Attention Mechanisms and Transformers in Computer Vision.
🔐 Image Segmentation DLC
A secret Exploration of the world of 3D Reconstruction, Photogrammetry, & NeRFs.
🔐 Stereo Vision DLC
Learn to build rapid Computer Vision prototypes with the OAK-D Camera.
🔒 Stereo Vision DLC, open to everybody.
For aspiring self-driving car engineers who want to build the mandatory skill of ROS, while learning how real self-driving cars are built...
Dive into the world of Mapping and learn how to build interactive maps with ROS while navigating an environment completely autonomously. This skill is hard to learn, but very rewarding.
Learn the infamous Multi-Task Learning secrets implemented by the best researchers to build multi-head Neural Network architectures.
Learn advanced techniques to dangerously multiply your algorithms' FPS by up to over 1,000% and deploy models to production environments.
Get close to the state-of-the-art and learn how startups build End-To-End Learning algorithms
Learn how to add Object Detection heads to a HydraNet.
🔐 Warning: This course is very advanced and has been reserved to the engineers of the HydraNets Course only.
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