Masterclass Certificate in Video Classification using CNNs

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International applicants and their qualifications are accepted

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Overview

Overview

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Video Classification using CNNs: Master the art of automated video analysis.


This Masterclass teaches you to build powerful Convolutional Neural Networks (CNNs) for accurate video classification.


Learn image processing techniques, understand deep learning architectures, and implement advanced video classification algorithms.


Ideal for data scientists, machine learning engineers, and anyone interested in computer vision and deep learning applications.


Gain practical skills through hands-on projects and real-world case studies. Video Classification using CNNs opens doors to exciting careers.


Enroll now and unlock the power of deep learning in video analysis!

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Masterclass Video Classification using Convolutional Neural Networks (CNNs) empowers you to build cutting-edge AI systems. This comprehensive course provides hands-on training in designing, implementing, and evaluating CNN-based video classifiers. Learn advanced techniques for deep learning, object detection, and action recognition, unlocking exciting career prospects in computer vision, AI, and robotics. Gain practical skills through real-world projects and earn a valuable certificate showcasing your expertise in video classification. Master this in-demand skill and elevate your career today!

Entry requirements

The program operates on an open enrollment basis, and there are no specific entry requirements. Individuals with a genuine interest in the subject matter are welcome to participate.

International applicants and their qualifications are accepted.

Step into a transformative journey at LSIB, where you'll become part of a vibrant community of students from over 157 nationalities.

At LSIB, we are a global family. When you join us, your qualifications are recognized and accepted, making you a valued member of our diverse, internationally connected community.

Course Content

• Introduction to Convolutional Neural Networks (CNNs) for Video Classification
• Understanding Video Data: Temporal Dynamics and Representation
• Architectures for Video CNNs: 3D CNNs, 2D CNNs + RNNs, and Transformers
• Data Augmentation and Preprocessing Techniques for Video Data
• Training and Optimizing CNNs for Video Classification: Loss Functions and Optimization Algorithms
• Evaluation Metrics for Video Classification: Accuracy, Precision, Recall, F1-Score, and AUC
• Advanced Topics: Action Recognition and Spatiotemporal Feature Extraction
• Case Studies: Analyzing Successful Video Classification Models
• Deployment and Real-World Applications of Video CNNs
• Building a Video Classification Project: A Hands-on Project using TensorFlow/PyTorch

Assessment

The evaluation process is conducted through the submission of assignments, and there are no written examinations involved.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration & course fee

The programme is available in two duration modes:
1 month (Fast-track mode): 140
2 months (Standard mode): 90

40% Cheaper

Our course fee is up to 40% cheaper than most universities and colleges.

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Awarding body

 The programme is awarded by London School of International Business. This program is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. It should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/ body.

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  • Start this course anytime from anywhere.
  • 1. Simply select a payment plan and pay the course fee using credit/ debit card.
  • 2. Course starts
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Got questions? Get in touch

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+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Career Role (Primary: CNN, Video Classification; Secondary: Deep Learning, AI) Description
AI Engineer (Video Analysis) Develop and deploy cutting-edge CNN models for video classification tasks, contributing to advancements in AI-powered video understanding.
Computer Vision Specialist Focus on applying deep learning techniques, particularly CNNs, to solve complex problems related to video content analysis and classification.
Machine Learning Engineer (Video) Design, train, and optimize CNN architectures for video classification, ensuring high accuracy and efficiency in real-world applications.
Data Scientist (Video Analytics) Utilize CNN models for video data analysis, extracting insights and building predictive models for diverse industries using video classification techniques.

Key facts about Masterclass Certificate in Video Classification using CNNs

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This Masterclass Certificate in Video Classification using CNNs provides comprehensive training in building and deploying robust video classification systems. You'll gain practical skills in Convolutional Neural Networks (CNNs) and their application to video data analysis.


Learning outcomes include mastering the fundamentals of CNN architectures for video, implementing video preprocessing techniques, and fine-tuning pre-trained models for specific video classification tasks. You’ll also learn about advanced topics such as 3D CNNs and Recurrent Neural Networks (RNNs) for temporal modeling.


The duration of the Masterclass is typically flexible, ranging from several weeks to a few months, depending on the chosen learning pace and the depth of engagement. Self-paced learning options allow for convenient scheduling.


This Masterclass is highly relevant to various industries. The skills acquired are directly applicable in fields like autonomous driving (object detection and tracking), surveillance (activity recognition), medical imaging (diagnosis assistance), and entertainment (video content analysis and recommendation). Deep learning skills are in high demand, making this certificate a valuable asset for career advancement.


The program often includes hands-on projects and real-world case studies, bolstering practical expertise in video classification and deep learning techniques. Upon successful completion, you receive a certificate, showcasing your competency in this sought-after skill set.

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Why this course?

A Masterclass Certificate in Video Classification using CNNs is increasingly significant in today's UK market. The rapid growth of video data necessitates professionals skilled in analyzing and categorizing this information. According to a recent study (hypothetical data for illustration), the UK’s video analytics market is projected to experience substantial growth.

This expertise in Convolutional Neural Networks (CNNs) for video classification is highly sought after across various sectors, including security, marketing, and media. The ability to extract meaningful insights from video data offers a competitive edge.

Sector Projected Job Growth (2024-2025)
Security 15%
Marketing 20%
Media 12%

Therefore, a Masterclass Certificate provides professionals with the in-demand skills to thrive in this evolving landscape.

Who should enrol in Masterclass Certificate in Video Classification using CNNs?

Ideal Audience for a Masterclass Certificate in Video Classification using CNNs
This video classification masterclass using Convolutional Neural Networks (CNNs) is perfect for aspiring data scientists, machine learning engineers, and computer vision specialists seeking advanced skills. The UK alone boasts a rapidly growing AI sector, with thousands of roles requiring expertise in image recognition and video analysis. This certificate program is also ideal for current professionals looking to upskill in deep learning and enhance their career prospects. Whether you're interested in applying CNN algorithms to security, healthcare, or autonomous vehicles, this course will equip you with the necessary tools and techniques to excel in this exciting field. Participants should possess foundational knowledge of Python programming and linear algebra.