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第 6 門課程(共 6 門)
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完成時間大約為16 小時
英語(English)
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Artificial Intelligence (AI)OpencvComputer Visionwatson
可分享的證書
完成後獲得證書
100% 在線
立即開始,按照自己的計劃學習。
第 6 門課程(共 6 門)
可靈活調整截止日期
根據您的日程表重置截止日期。
初級
完成時間大約為16 小時
英語(English)
字幕:英語(English)

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IBM 徽標

IBM

教學大綱 - 您將從這門課程中學到什麼

內容評分Thumbs Up93%(1,185 個評分)Info
1

1

完成時間為 1 小時

Introduction to Computer Vision

完成時間為 1 小時
5 個視頻 (總計 18 分鐘), 2 個閱讀材料, 2 個測驗
5 個視頻
Introduction to Computer Vision4分鐘
Applications of Computer Vision3分鐘
Recent Research in Computer Vision4分鐘
Brainstorming Your Own Applications3分鐘
2 個閱讀材料
Welcome2分鐘
Articles10分鐘
2 個練習
Practice Assessment8分鐘
Graded - (10%) Overview of Computer Vision and its Applications20分鐘
完成時間為 1 小時

Image Classification with IBM Watson

完成時間為 1 小時
6 個視頻 (總計 23 分鐘), 1 個閱讀材料, 2 個測驗
6 個視頻
Watson Visual Recognition in Action2分鐘
Getting Started with Watson Visual Recognition2分鐘
Classification with Watson Visual Recognition2分鐘
Working with Custom Classifiers5分鐘
Custom Image Classifiers with IBM Watson4分鐘
1 個閱讀材料
LAB: Classifying Images with IBM Watson30分鐘
2 個練習
Practice Assessment8分鐘
Graded - (10%) Classifiers with IBM Watson VR - Part 120分鐘
完成時間為 1 小時

Custom Classifiers with Watson Visual Recognition

完成時間為 1 小時
3 個視頻 (總計 8 分鐘), 2 個閱讀材料, 1 個測驗
3 個視頻
Classifying with Negative Examples2分鐘
Retrain a Visual Recognition Model with Negative Images2分鐘
2 個閱讀材料
Industry Case Studies with Custom Image Classifiers10分鐘
LAB: Testing and Training a Custom Classifier30分鐘
1 個練習
Graded - (10%) Classifiers with IBM Watson VR - Part 225分鐘
2

2

完成時間為 3 小時

Image Processing using IBM Watson and Python

完成時間為 3 小時
3 個視頻 (總計 15 分鐘), 3 個閱讀材料, 4 個測驗
3 個視頻
Using Watson Visual Recognition7分鐘
Applications of Watson Visual Recognition6分鐘
3 個閱讀材料
[Important Reminder] : Completion of Labs2分鐘
Instruction for Obtaining your API Key2分鐘
Articles10分鐘
2 個練習
Practice Assessment20分鐘
Graded - (20%) Image Processing using IBM Watson40分鐘
3

3

完成時間為 4 小時

Image Processing using OpenCV and Python

完成時間為 4 小時
1 個視頻 (總計 6 分鐘), 2 個閱讀材料, 5 個測驗
2 個閱讀材料
[Important Reminder]: Completion of Labs2分鐘
Instruction for Obtaining your API Key2分鐘
2 個練習
Practice Assessment20分鐘
Graded - (20%) Image Processing using OpenCV40分鐘
4

4

完成時間為 5 小時

Project: Building a Web-Based Computer Vision App using IBM Cloud

完成時間為 5 小時
6 個閱讀材料
6 個閱讀材料
Project Overview30分鐘
Task 1: Collect Images for Training and Testing your Model10分鐘
Task 2: Training your Classifier30分鐘
Task 3: Part A - Overview30分鐘
Task 3: Part C - Instructions for Obtaining your API Key2分鐘
Task 4: Testing your Classifier 10分鐘
1 個練習
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關於 IBM Applied AI 專業證書

Artificial intelligence (AI) is transforming our world. Whether you’re a student, a developer, or a technology consultant - understanding AI and knowing how to create AI-powered applications can give you an edge in your career. This Professional Certificate is designed to arm you with the skills to work as an AI developer. This program will give you a firm understanding of AI technology, its applications, and its use cases. You will become familiar with concepts and tools like machine learning, data science, natural language processing, image classification, image processing, IBM Watson AI services, OpenCV, and APIs. Even if you have no programming background, through this Professional Certificate, you will learn practical Python skills to design, build, and deploy AI applications on the web. The courses will also enable you to apply pre-built AI smarts to your products and solutions. Rather than create complex AI algorithms and interfaces from scratch, you’ll use IBM Watson AI services and APIs to create smart applications with minimal coding. By the end of this Professional Certificate, you will have completed several projects that showcase proficiency in applying AI and building AI-powered solutions. In addition to earning a Professional Certificate from Coursera, you'll also receive a digital badge from IBM recognizing your proficiency in applied AI....
IBM Applied AI

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  • After completing this course you will be able to:

    ●      explain what computer vision is and its applications

    ●      understand the roles of Python, OpenCV and IBM Watson in computer vision

    ●      classify images utilizing IBM Watson, Python, and OpenCV

    ●      build and train custom image classifiers using Watson Visual Recognition API

    ●      process images in Python using OpenCV

    ●      create an interactive computer vision web application and deploy it to the cloud

  • No specialized hardware or software is required to complete this course. You will perform all labs and projects in a cloud environment and work with Python in Jupyter Notebooks, OpenCV, and IBM Watson Visual Recognition. Instructions for no-charge access to IBM Cloud is provided. You will require a modern web browser (i.e. recent versions of Chrome or Firefox).

  • Some programming knowledge, especially with Python is needed to complete this course. The following course equips you with the necessary Python background:

    - Python for Data Science

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