Want to build self-driving car skills?

Meet the Edgeneer Sequence

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

The SELF-DRIVING CAR ENGINEER SYSTEMℒ️

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.

Hundreds of students have followed this course and got clarity, an action plan, and yes, a job in cutting-edge industries.

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STEP 2

Get a cutting-edge course

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.

Object Tracking

OBSTACLE TRACKING

For mid-level engineers looking to convert their ordinary object detection skills into unique object tracking skills.

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KALMAN FILTERS

For mid-level engineers aspiring to work on advanced applications of AI and Robotics such as Tracking or Sensor Fusion.

4D PERCEPTION

For Intermediate/Advanced Levels who want to Learn 3D Object Detection, 3D Object Tracking, and Build Advanced 4D Perception Projects.

LiDARs

POINT CLOUDS

For mid-level engineers looking to convert their ordinary object detection skills into unique object tracking skills.

VISUAL FUSION

For mid-level engineers aspiring to work on advanced applications of AI and Robotics such as Tracking or Sensor Fusion.

DEEP POINT CLOUDS

For Intermediate/Advanced Levels who want to Learn 3D Object Detection & Tracking, and Build Advanced 4D Perception Projects.

DLC: LiDAR Object Detection

Learn how to build cutting-edge LiDAR Object Detection models using Deep Learning.

πŸ” Warning: This course is very advanced and has been reserved to the engineers of the Deep Point Clouds Course only.

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Computer Vision

IMAGE SEGMENTATION

In this course, you'll learn about modern architectures and approaches to classify each pixel of an image.

STEREO VISION

In this course, you'll learn how to build Pseudo-LiDARs and 3D Computer Vision systems that find the 3D positions of obstacles.

OPTICAL FLOW

In this course, you'll learn to build Flow Maps, analyze pixel motions across several frames, and process videos using Deep Learning.

DLCs (Advanced Computer Vision Courses)

πŸ” 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.

SEGFORMERS

Understand Attention Mechanisms and Transformers in Computer Vision.

πŸ” Image Segmentation DLC

3D RECONSTRUCTION

A secret Exploration of the world of 3D Reconstruction, Photogrammetry, & NeRFs.

πŸ” Stereo Vision DLC

THE OAK-D PLAYBOOK

Learn to build rapid Computer Vision prototypes with the OAK-D Camera.

πŸ”’ Stereo Vision DLC, open to everybody.

Robotics

ROS

Start by learning the core skill of any autonomous robot engineer: ROS! With ROS, you can read LiDAR point clouds, camera images, RADARs, and run real-time algorithms on your computer.

SLAM

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.

Advanced Deep Learning

HYDRANETS

Learn the infamous Multi-Task Learning secrets implemented by the best researchers to build multi-head Neural Network architectures.

NEURAL OPTIMIZATION

Learn advanced techniques to dangerously multiply your algorithms' FPS by up to over 1,000% and deploy models to production environments.