The field of Artificial Intelligence (AI) has seen an unprecedented rise in recent years. It’s transforming everything from healthcare to transportation, from entertainment to finance. As a result, the demand for skilled professionals in AI is increasing at an extraordinary rate. According to a report by the World Economic Forum, by 2025, the number of roles requiring AI skills is expected to be in the millions. However, there remains a significant gap between the growing demand for AI professionals and the supply of qualified personnel.
A key contributor to this shortage is the lack of high-quality, up-to-date AI education.
Traditional educational institutions often struggle to keep pace with the rapid advancements in AI technologies. Consequently, there is a pressing need for new, innovative approaches to AI education that are nimble and closely aligned with industry needs.
Introducing OpenCV University
On June 20th, 2023, the esteemed CVPR conference in Vancouver served as the backdrop for the landmark launch of OpenCV University, presided over by OpenCV CEO and Big Vision Founder Dr. Satya Mallick and OpenCV President Dr. Gary Bradski.
OpenCV University offers a robust curriculum with 9 distinct courses and 4 comprehensive programs, all designed to mold proficient Computer Vision engineers. The university’s course array spans foundational knowledge in AI to advanced study areas, catering to various learning needs and career objectives.
With this significant launch, OpenCV University sets forth its vision of being more than a place to learn – it’s an innovation hub, shaping the future of AI through its future-ready curriculum.
Why OpenCV University?
In the rapidly evolving field of Artificial Intelligence (AI), there exists a dearth of quality, up-to-date education. OpenCV University was founded to address this gap. The curriculum at OpenCV University is designed to keep pace with industry developments, providing learners with skills that are relevant to the job market.
The courses at OpenCV University are unique. They cover more relevant and practical material than a master’s program in AI in many reputed institutes. These comprehensive courses, curated by the scientists and engineers at OpenCV, including renowned Computer Vision expert Satya Mallick, equip learners with the hands-on experience needed to master industry-specific topics.
Features of the University
Intelligent Curriculum Design:
The University’s approach to curriculum design is innovative. It combines foundational, experiential, and practical learning to create real-life applications.
Assignments and Projects:
At OpenCV University, learners get the chance to put their knowledge into practice through assignments and in-depth projects, all graded by the University’s expert team.
Code with explanations:
OpenCV University’s courses include coding assignments that allow learners to internalize the concepts through a hands-on learning approach.
Your space, your pace:
OpenCV University offers 100% online, time-flexible courses with Lifetime Access to all resources, including practical projects, assignments, & quizzes.
Video-based instructions:
The University offers video lectures to allow learners to absorb the material at their own pace.
Course forums:
OpenCV University provides dedicated discussion forums for each course, monitored by instructors, for anyone to share ideas and ask questions.
Career Guidance:
Career Accelerator Program – CareerX offers invaluable tools and resources designed to help navigate the dynamic landscape of AI careers. Our team helps strengthen your profile in all areas, making you more competitive and increasing your chances of success.
Course Offerings
The course, ‘Mastering OpenCV with Python,’ is the perfect launching pad for one’s AI journey. It introduces learners to the basics of Image Processing and Computer Vision via a carefully constructed curriculum, including 21 modules, accompanied by video instructions and comprehensive code explanations. The only prerequisite is a basic knowledge of Python. There is a free course on Python if one is new to the topic.
The ‘Deep Learning With PyTorch‘ course sets learners on the path to tackle Computer Vision problems utilizing Deep Learning methodologies and the PyTorch framework. This course presents an opportunity to delve into the structure of Neural Networks, along with learning how to train and deploy them in a cloud environment.
‘Deep Learning with TensorFlow & Keras‘ lets learners delve deeper into Neural Networks, preparing datasets and exploring Deep Neural Network architectures to address a range of Computer Vision challenges using the TensorFlow and Keras Framework.
‘Fundamentals Of Computer Vision & Image Processing‘ aids learners in developing a robust understanding of OpenCV tools used for Image Processing, Computer Vision, and Video Processing. This course lays a strong foundation for solving complex Computer Vision problems.
‘Computer Vision & Deep Learning Applications‘ provides learners the wherewithal to create applications employing advanced Computer Vision and Deep Learning techniques. This course dives into advanced problems in Computer Vision including Face Recognition, Object Detection, OCR, Number Plate Recognition, and more.
The ‘Mastering Generative AI for Art‘ course encourages learners to explore Generative AI tools like OpenAI DALLE, MidJourney, and Stable Diffusion in depth. You also learn about how to create fine-tuned models for Stable Diffusion.
Who Are The Courses Intended For?
OpenCV University caters to a wide audience – students, professionals, hobbyists, researchers, corporates, and entrepreneurs. Each audience segment has recommended learning paths.
Students opting to attain mastery of Computer Vision should opt for our CVDL Master Program which consists of all our courses.
Working Professionals must opt for the Professional Program that consists of 3 courses – ‘Mastering OpenCV with Python’ to explore multiple CV applications + take the CVDL Applications course and a Deep Learning course of their choice.
Hobbyists & Entrepreneurs who want to build applications can either choose the Professional Program or the CVDL Expert Program which consists of both Deep Learning courses on PyTorch and TensorFlow courses and the Deep Learning Applications course. These programs give you exposure to Deep Learning and applications in Computer Vision.
Researchers must opt for the Master Program or the Expert program depending on their level of expertise in OpenCV ‘Fundamentals Of Computer Vision & Image Processing’ and at least one DL course.
Corporates are invited to connect with OpenCV University to discuss their specific needs. Guidance is tailored to align with business objectives and training budgets. Further details can be found on the dedicated page for Corporates.
Career Guidance and Job Assistance
At OpenCV University, the belief is that learning extends beyond mastering a subject – it encompasses applying this knowledge in the real world, particularly in the job market. For this reason, comprehensive career guidance and job assistance program has been carefully designed to meet learners’ unique needs.
Expert Guidance:
The experienced career advisors at OpenCV University assist learners in navigating the job market, refining their CVs, and preparing for interviews. They have a deep understanding of employer expectations and equip learners with effective strategies for successful self-presentation.
Skill Building:
Acknowledging the vital role of soft skills in professional success, OpenCV University provides curated workshops and webinars aimed at enhancing learners’ communication, leadership, problem-solving, and teamwork abilities. The goal is to shape well-rounded professionals who stand out in today’s competitive job market.
Personalized Support:
OpenCV University recognizes that each learner has unique career aspirations and challenges. To address this, dedicated mentors provide one-on-one assistance, tailoring services to individual career goals. These mentors work closely with learners, providing project guidance, helping identify suitable job opportunities, and offering constructive feedback on progress.
Peer Network:
Enrolling at OpenCV University means joining a vibrant community of professionals passionate about AI. This network serves as a valuable resource for project collaboration, idea exchange, and potential job referrals. Learners interact with peers from diverse backgrounds, benefitting from a range of perspectives and experiences.
The Bigger Picture
OpenCV University is committed to more than just providing high-quality education; it’s dedicated to ensuring learner success beyond the educational journey. With the right guidance and support, OpenCV University believes every learner can carve a niche in the rapidly evolving field of AI.
Choosing to study at OpenCV University is not just an investment in education; it’s a step towards a prosperous career and a bright future in AI. The university’s dedicated career services reflect a commitment to learner success. OpenCV University strives to guide learners in realizing their career potential and empowering them to make an impact in the field of AI.
