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If you do, you're not alone. Thousands of engineers dream about building the world of tomorrow. Some of them have been dreamers since they were born.
Maybe you've had that dream too. We start our careers with an engineering diploma, motivated as nobody else. But quickly, things change. We join consulting, thinking of limitless opportunities, but we end up pressured to take any project we fit in, and waste years of our careers on Powerpoints and Spreadsheets. We get recruited too easily by big groups, thinking we'll end up managing their AI branch, but realize too late that they never really planned to join the AI revolution.
We engineers seek passion. We want to build flying cars, autonomous robots, and Artificial Doctors; we want to participate in the next autonomous farm to Mars, we want to change transportation, but these industries require very qualified talents, and not anybody can join.
People do it. It's not something beyond our reach, but there are 3 main problems that prevent us from getting what we want:
Think Autonomous is helping engineers work on cutting-edge applications of AI, Self-Driving Cars, and Computer Vision. I focus on the advanced parts, that nobody really teaches, and I focus on daily and lifelong learning, rather than intense batches.
For that, I run a Daily Newsletter, that will teach you a bit more about being a cutting-edge engineer every day. My emails are private, but read by over 10,000 cutting-edge engineers who use the content to change their lives.
Content from a Think Autonomous course teaching engineers how to use Stereo Vision to build a 3D Reconstruction algorithm with Deep Learning
Before working as a self-driving car engineer, I was stuck as a consultant.
I would be offered projects I didn't really want to take, but clients were already signed. I would be trying to bring AI to the world, but the world I was in didn't really care about AI.
Until I started to build cutting-edge skills, until I discovered AI, Computer Vision, LiDARs, and 3D. My skills skyrocketed, and I got a job in autonomous shuttles.
Bringing an autonomous shuttle to life in France
Testing a prototype self-driving car called a "Perception Car" in the field
If you look around, most online courses teach the fundamentals. Convolutions, Neural Networks, Python, OpenCV. Those are essential, if you want to get started. But do really they help you build the next autonomous rover to Mars?
Through my journey, I discovered many engineers needed more advanced training, but they also needed to understand how to market these skills, how to attract companies, and how to make their profile unique. They needed someone to show them a path.
I took this path through hundreds of hours of learning, and years spent building self-driving cars, and I realized I could actually have a big impact helping engineers do the same...
We do many things differently than the others. Most of our courses are very short, just a few hours, rather than month long programs, we're entirely project based, and we implemented a job search system where we only teach courses that provide cutting-edge jobs.
But our biggest differentiator is the cutting-edge!
Our courses are some of the most advanced in the industry... and our customers aren't just engineers interested in AI, but engineers who want to specialize in the cutting-edge.
Here's everything we implement to honor our commitment to the cutting-edge:
NO BEGINNERS
The catalog of courses is targeted to students who already have Machine Learning fundamentals. Usually, the students who take them are in the final year before graduating. This means we can afford to make them advanced, and targeted to job search.
CONSTANT UPDATES
Because the field evolves so rapidly, we have an update system in place where as soon as a course risks becoming outdated, we update it.
DLCs
Some of our courses have additional sub-courses that teaches entire advanced topics like 3D Reconstruction, or Transformer Networks. We call them DLCs!
RESEARCH FRIENDLY
We understand that « cutting-edge » is often tied to research. Which is why we have an entire process of interviewing researchers about their work, reading and coding research papers for fun, and including a research paper study in ALL of our courses. That process also motivated some of our student to start their own Ph.D.
"EINSTEIN SIMPLE, EINSTEIN COMPLEX"
We apply Einstein's sentence "If you can't explain it simply, you don't understand it well enough" and don't build courses unless we really understand how to explain it to a beginner. Often, it doesn't mean being an expert at the topic, but being able to put yourself in the shoes of a beginner.
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Adrian Rosebrock | PyImageSearch
"Last week Jérémy Cohen launched "Visual Fusion For Autonomous Cars 101" inside PyImageSearch University.
I cannot even begin to express the number of positive reviews we've gotten from the course.
Jeremy is an incredible teacher and the best person to learn autonomous cars from."
Vishwesh Shrimali, Think Autonomous Edgeneer
"I enjoyed the program. It covers much more details than typical SDC program, while at the same time making sure to not go into too much depth which can very easily make you lose interest in the program."
Ashok Bhatta, Think Autonomous Edgeneer
"Awesome content. Learnt a lot about Self Driving cars"
Ankit Prabhu, Think Autonomous Edgeneer
"I am totally shocked with the amount of information I have received. I have a very clear system of what I want to do and how to accquire the skills. Thank you for this!! "
Sign Up to Receive my Private Emails
I'm sending them every morning to 10,000+ cutting-edge engineers and I share my most insightful tips, stories, and my newest technical content. I don't share these anywhere else. Once they're sent, they're gone forever.
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