Machine & Deep Learning – Advanced
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Course Overview
Course Overview:
At the Advanced level, students move from “model users” to AI system builders.
The course emphasizes:
Designing complex neural network architectures
Handling large and high-dimensional datasets
Applying deep learning to images, text, and sequences
Optimizing models for accuracy, speed, and generalization
Preparing models for real-world deployment pipelines
Learning is intensive, practical, and project-driven.
Learning Peeks
Course Duration
3 Months
Course Structure
Instructor-Led
Availability
Available Online/Offline
Flexible Schedules
Flexible study schedules
Language
English Language
Training Days
Offline: Mon, Wed & Fri
Online: Tues, Thur & Fri
Recognized Certification
Earn a certification on completion
Course Outcome
Course Outcomes:
By the end of this course, learners will be able to:
Design and train deep neural networks
Build and optimize Convolutional Neural Networks (CNNs)
Implement sequence models (RNNs, LSTMs)
Apply NLP techniques using embeddings and transformers (intro)
Perform advanced model tuning and regularization
Manage experiments and track results
Handle large datasets efficiently
Develop end-to-end deep learning pipelines
Present complex AI solutions professionally
Prepare for AI Professional-level specialization
A World-Class Learning Facility
At Schoolville, we have created a conducive environment for learning, combining exceptional school structures, inspiring classrooms, and dedicated tutors. We understand that the physical surroundings greatly impact the educational experience, and we strive to provide a nurturing setting that fosters academic growth, creativity, and personal development.
Our classrooms are carefully designed to facilitate effective teaching and learning to enable tutors to deliver dynamic and engaging lessons that captivate students attention and spark their curiosity.
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