Machine and Deep Learning
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Course Overview
Course Overview:
This program equips participants with the knowledge and technical skill to build intelligent systems capable of learning from data. Students will gain mastery in both traditional machine learning techniques and advanced deep neural networks. Each module includes coding labs, quizzes, and real-world projects that prepare learners for roles in AI engineering, data science, and applied research.
Learning Peeks
Course Duration
6 Months
Course Structure
Instructor-Led
Availability
Available Online/Offline
Flexible Schedules
Flexible study schedules
Language
English Language
Training Days
Monday, Wednesday, and Friday
Recognized Certification
Earn a certification on completion
Course Outcome
Course Outcomes:
Upon completion, participants will be able to:
· Understand key concepts and algorithms in machine and deep learning.
· Build, train, and evaluate predictive models.
· Design and implement neural networks for vision, text, and structured data.
· Apply optimization techniques and regularization to improve model performance.
· Utilize frameworks such as TensorFlow, Keras, and PyTorch for hands-on projects.
· Deploy models for real-world applications in finance, healthcare, marketing, and more.
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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