Artificial Intelligence & Data Science
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AI Capstone Project with Deep Learning

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5

(8)

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Course Report - AI Capstone Project with Deep Learning

Course Report

Find detailed report of this course which helps you make an informed decision on its relevance to your learning needs. Find out the course's popularity among Careervira users and the job roles that would find the course relevant for their upskilling here. You can also find how this course compares against similar courses and much more in the course report.

Course Features

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Duration

16 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Advanced

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Teaching Type

Self Paced

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Video Content

16 hours

Course Description

This capstone will allow learners to apply their deep learning knowledge to solve a real-world problem. To develop and test a deep-learning model, they will use a library that interests them. They will load real data, pre-process it and then build and validate the model. To demonstrate their knowledge and proficiency in Deep Learning, learners will present a project report.

Learning Outcomes

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Highlights

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Rating & Reviews

Top 30 Percentile

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Hands on training

Top 20 Percentile

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Parameters

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Hands on training

This course stands out as one of the top 20 percentile options in Deep Learning, offering unparalleled hands-on training. Learners gain practical experience and skills through immersive learning, preparing them for real-world challenges. It ensures a well-rounded skill set, catering to a range of learning preferences. With a focus on Capstone Projects / Industry-Simulation as well as essential Case Based Learning and Virtual Labs, this course is tailored to meet diverse educational needs.

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Rating & Reviews

This highly acclaimed course is among the top-rated in Deep Learning, boasting a rating greater than 4 and an overall rating of 5.0. Its exceptional quality sets it apart, making it an excellent choice for individuals seeking top-notch learning experience in Deep Learning.

Course Overview

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Virtual Labs

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International Faculty

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Case Based Learning

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Post Course Interactions

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Case Studies,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

What You Will Learn

Determine what kind of deep learning method to use in which situation

know how to build a deep learning model to solve a real problem

Master the process of creating a deep learning pipeline

Apply knowledge of deep learning to improve models using real data

Demonstrate ability to present and communicate outcomes of deep learning projects

Course Instructors

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Alex Aklson

Ph.D., Data Scientist

Alex Aklson, Ph.D., is a data scientist in the Digital Business Group at IBM Canada. Alex has been intensively involved in many exciting data science projects such as designing a smart system that co...
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Joseph Santarcangelo

Ph.D., Data Scientist at IBM

Joseph Santarcangelo is the instructor for this course

Course Reviews

Average Rating Based on 8 reviews

5.0

100%

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