课程信息

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第 6 门课程(共 6 门)
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初级
完成时间大约为15 小时
英语(English)
字幕:英语(English)

您将获得的技能

Artificial Intelligence (AI)OpencvComputer Visionwatson
可分享的证书
完成后获得证书
100% 在线
立即开始,按照自己的计划学习。
第 6 门课程(共 6 门)
可灵活调整截止日期
根据您的日程表重置截止日期。
初级
完成时间大约为15 小时
英语(English)
字幕:英语(English)

提供方

IBM 徽标

IBM

教学大纲 - 您将从这门课程中学到什么

内容评分Thumbs Up93%(1,071 个评分)Info
1

1

完成时间为 1 小时

Introduction to Computer Vision

完成时间为 1 小时
5 个视频 (总计 19 分钟), 2 个阅读材料, 2 个测验
5 个视频
Introduction to Computer Vision4分钟
Applications of Computer Vision3分钟
Recent Research in Computer Vision4分钟
Brainstorming Your Own Applications3分钟
2 个阅读材料
Welcome2分钟
Articles10分钟
2 个练习
Practice Assessment8分钟
Graded - (10%) Overview of Computer Vision and its Applications20分钟
完成时间为 1 小时

Image Classification with IBM Watson

完成时间为 1 小时
6 个视频 (总计 24 分钟), 1 个阅读材料, 2 个测验
6 个视频
Watson Visual Recognition in Action2分钟
Getting Started with Watson Visual Recognition2分钟
Classification with Watson Visual Recognition2分钟
Working with Custom Classifiers5分钟
Custom Image Classifiers with IBM Watson4分钟
1 个阅读材料
LAB: Classifying Images with IBM Watson30分钟
2 个练习
Practice Assessment8分钟
Graded - (10%) Classifiers with IBM Watson VR - Part 120分钟
完成时间为 1 小时

Custom Classifiers with Watson Visual Recognition

完成时间为 1 小时
3 个视频 (总计 8 分钟), 2 个阅读材料, 1 个测验
3 个视频
Classifying with Negative Examples2分钟
Retrain a Visual Recognition Model with Negative Images2分钟
2 个阅读材料
Industry Case Studies with Custom Image Classifiers10分钟
LAB: Testing and Training a Custom Classifier30分钟
1 个练习
Graded - (10%) Classifiers with IBM Watson VR - Part 225分钟
2

2

完成时间为 4 小时

Image Processing using IBM Watson and Python

完成时间为 4 小时
4 个视频 (总计 23 分钟), 3 个阅读材料, 4 个测验
4 个视频
Using Watson Visual Recognition10分钟
Applications of Watson Visual Recognition6分钟
Using the Watson VR API with Python4分钟
3 个阅读材料
[Important Reminder] : Completion of Labs2分钟
Instruction for Obtaining your API Key2分钟
Articles10分钟
2 个练习
Practice Assessment20分钟
Graded - (20%) Image Processing using IBM Watson40分钟
3

3

完成时间为 4 小时

Image Processing using OpenCV and Python

完成时间为 4 小时
3 个视频 (总计 22 分钟), 2 个阅读材料, 5 个测验
3 个视频
Getting started with Cascade Filters9分钟
Detecting Objects with Cascade Filters6分钟
2 个阅读材料
[Important Reminder]: Completion of Labs2分钟
Instruction for Obtaining your API Key2分钟
2 个练习
Practice Assessment20分钟
Graded - (20%) Face Detection and Image Processing using OpenCV40分钟
4

4

完成时间为 3 小时

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

完成时间为 3 小时
2 个阅读材料
2 个阅读材料
Project: How to deploy your VR Classifier10分钟
Task 3: Part C - Instructions for Obtaining your API Key2分钟
1 个练习
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关于 IBM Applied AI 专业证书

Artificial Intelligence (AI) is transforming our world. Whether you’re a student, 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 Application Developer. It will give you a firm understanding of AI, its applications, and its use cases. You will become familiar with IBM Watson AI services and APIs. Even if you have no programming background, you will be able to create AI driven chatbots as well as pick up practical Python skills to work with AI. The courses will also enable you to apply pre-built AI smarts to your products and solutions. A learner with no prior knowledge of AI will learn to design, build, and deploy AI-powered applications on the web. Rather than create complex AI algorithms and interfaces from scratch, learners will use IBM Watson AI services and APIs to create smart applications with minimal coding. By the end of this Professional Certificate, learners will complete several projects that showcase proficiency in applying AI and building AI powered solutions....
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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