TensorFlow Bootcamp

Learn how Neural Networks, Multi-Layer Perceptron and Convolutional Neural Networks are used for Image Classification and Segmentation, and train your own CNN model on a custom dataset. All this, in just 3 hours!

Course Code
TFBC

Type
Beginner

Available in
Python

Price
Free

Enroll for Free

  • Official OpenCV Certification
  • 10 Modules
  • Videos
  • Quizzes
  • 3Hrs Content
  • Colab Notebooks

What's covered in this course?

  • Getting Started with Neural Networks
    Take your first baby steps into deep learning
  • Fundamentals of Training a Neural Network
    Deep learning isn’t magic – science behind how models learn.
  • Modeling Linear Regression
    Train a simple linear regression model to learn patterns in data.
  • MNIST Digit Classification using MLP
    Train an MLP model to recognize handwritten digits
  • CNN Fundamentals
    Understand how CNNs learn features like edges, textures
  • CIFAR-10 Classification using CNN
    Build a model that classifies real-world objects
  • Image Classification using Pre-Trained ImageNet Models
    Use pre-trained models to classify images with minimal effort.
  • Transfer Learning and Fine-tuning
    Supercharge your models by adapting existing knowledge to new tasks.
  • Introduction to Semantic Segmentation
    Go beyond classification—label every pixel to understand entire scenes.
  • Introduction to Object Detection
    Not just what is in an image, but where—detect multiple objects at once.

Tool Kit

Testimonials

The Computer Vision course offered by OpenCV University played a crucial role in starting my AI career. I landed a six figure consulting job in AI right after I graduated.

A year later I was hired at Tesla as a Data Engineer with double the compensation.

OpenCV University was the best investment in my AI career.
Andy Gehlan
Andy GehlanArtificial Intelligence / Computer Vision Engineer, UK
I am being promoted to Assistant Manager with a salary hike of almost 45%!

A huge part of this success is due to the skills I acquired through OpenCV University courses.

I am at the beginning of my AI journey but this early success is thrilling.
Maynard Gomes
Maynard GomesAssistant Manager, India
The OpenCV University program trained me in the art of building real-world CV and AI applications.

As an AI expert, I charge 2-3 times more on Upwork than in my previous role as a software developer.

The extra cash enabled me to bootstrap a startup I am working on.
Antonio Luna
Antonio LunaCo-Founder and CTO | AI Enthusiast, Mexico
I took OpenCV University courses in 2021. They played a significant role in the choice of algorithms, and the quality of the Autonomous Point of Purchase (A-PoP) product we built at Intuitivo, and we were able to raise $7.8M in 2022. I highly recommend OpenCV University courses for entrepreneurs, students, and professionals who want to start a career in AI.
José Benitez Genes
José Benitez GenesFounder & Director of AI | MIT Innovator Under 35, USA
At 45, I burned out as a race car engineer and took a low-stress job as a garbage collector. But I wanted more, so I learned Python and got into computer vision. After enrolling in OpenCV University, I landed a job as a computer vision software engineer with a great pay raise. Now, I’m doing work I enjoy in a field I love.
Andy Durham
Andy DurhamComputer Vision Software Engineer, UK
After taking the OpenCV courses, I launched my startup as a side project, and now it has grown into a full-time business with paying customers. The skills I learned from those courses helped me build a proctoring system in 2020, which is still being used today. OpenCV gave me the foundation I needed to turn my idea into a real business.
Ebuka-Amaefula
Ebuka-AmaefulaSoftware Engineer | Entrepreneur, Canada
These exceptionally well-organized courses provide immense value to AI professionals. You can keep using the content as a reference long after completing the courses. I recommend AI programs by OpenCV to everyone interested in working in the field
Sanjay Nichani
Sanjay NichaniVice President (Artificial Intelligence and Computer Vision)
Through the last years, I have taken several MOOCs, yet I am sure that this is one of the best courses in computer vision and image processing.
Israel Raul Tiñini Alvarez
Israel Raul Tiñini AlvarezArtificial Intelligence Student
Constructive and timely feedback on the assignments and projects are very encouraging and supportive.
Clinton Van Ry
Clinton Van RyTechnical Director

Frequently Asked Questions

Yes, our courses are designed to accommodate learners with varying levels of experience. All that is required is a basic understanding of at least one programming language (Python is preferable but not mandatory). We will walk you through the fundamental concepts, providing step-by-step guidance.

To get the most from our courses, you should possess a working knowledge of Python or a similar programming language. For the courses offered in C++, you should have a basic proficiency in C++.

Aside from the programming experience mentioned above, the series of courses are designed to take you from the fundamentals in Image Processing and Computer Vision through more advanced topics in Deep Learning. If you are looking to jump in directly to our Deep Learning courses, then you should have a good understanding of the foundational material in Image Processing and Computer Vision.

Upon finishing a course, you will be awarded a certificate of completion from OpenCV.org. To qualify for the certificate, you must complete all graded quizzes, assignments, and projects, obtaining a score of at least 50%. If your score exceeds 70%, you will be granted an Honor Certificate.
Our team will be available in the course forum to address your questions and provide guidance as needed. We encourage students to post questions on the forum, as other students can often help. In fact, you will find that answering questions for other students will facilitate your own learning. However, rest assured that our instructors monitor the course forum, and we strive to respond within 24 hours. In the end, it’s a highly collaborative environment that allows everyone involved the opportunity to learn.

The course content features a combination of theoretical explanations and practical code demonstrations delivered through both text and video formats. Quizzes, assignments, and projects of varying difficulty levels are also included. Students have the option to choose the assignments or projects they wish to work on, with each carrying a point value. We select the best “m” out of “n” assignments/projects to accommodate individual interests.

This approach allows students to focus on topics that pique their interest, enabling them to delve deeper by completing relevant assignments/projects while having the flexibility to skip topics they find less appealing.

Yes, you can share an account with a friend. However, please note that if you both qualify for a certificate, we can only issue one certificate per account.
Upon purchasing the course, you should have received an enrollment email. If it’s not in your inbox, please check your spam folder. If you still cannot locate the email, reach out to us at courses@opencv.org for assistance.
Absolutely. If you’re not satisfied with a course, simply send us an email (courses@opencv.org) within 30 days of the course enrollment date, and we will issue a full refund without any questions asked.

The time it takes to complete a course depends on the number of hours you can dedicate weekly. Based on our observations, students typically finish the courses in the following timeframes:

Mastering OpenCV For Computer Vision: Approximately 2-4 weeks
Fundamentals Of Computer Vision & Image Processing: Roughly 3 months
Advanced Computer Vision and Deep Learning Applications: Around 3 months
Deep Learning With PyTorch: About 4-5 months
Deep Learning With TensorFlow & Keras: Approximately 4-5 months

Please note that taking the time to fully comprehend the course material is essential rather than rushing through it. This will ensure a deeper understanding and better retention of the content.

We offer lifetime access to our courses, allowing you to use them as reference materials long after completion. Please note that for all courses except OpenCV Essentials, we provide online labs with Jupyter notebooks integrated into the course platform for assignment submissions.
Yes, you will have lifetime access to the certificate on the course platform. You will get a digital certificate after successfully completing the course and you can share this certificate on LinkedIn, Facebook and other platforms.
If you’re looking for the most comprehensive option, the CV Master Bundle offers the complete set of courses provided by OpenCV.org. However, if the CV Master Bundle is too extensive or costly for your needs, we recommend the CV DL Starter. This bundle equips you with a strong foundation in both traditional computer vision and modern deep learning approaches.
You have lifetime access to the course material. You can complete the courses at your pace. If you complete any course within 100 Days, you will receive a $100 reward for each course you complete.
The reward will be pure cash transferred to your original mode of payment.
Yes, you can start all courses and complete them simultaneously. There is no restriction.
Yes, you may get a chance for a paid internship with us.
No, the Mastering Generative AI for Art course is excluded from the 100-Day AI Challenge.

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