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Artificial Intelligence will define the next generation of software solutions. This computer science course provides an overview of AI, and will explain how it can be used to build smart apps that help organizations be more efficient and enrich people’s lives. It uses a mix of engaging lectures and hands-on activities to help you take your first steps in the exciting field of the AI.

Assessment

This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.

Certification

Edukite courses are free to study. To successfully complete a course you must submit all the assignment of the course as part of the assessment. Upon successful completion of a course, you can choose to make your achievement formal by obtaining your Certificate at a cost of £49.

Having an Official Edukite Certification is a great way to celebrate and share your success. You can:

  • Add the certificate to your CV or resume and brighten up your career
  • Show it to prove your success

 

Course Credit: Microsoft.

Course Curriculum

Introduction
Welcome 00:02:00
Welcome to the Course 00:01:00
Lesson 1
What is Artificial Intelligence? 00:01:00
Real-World AI – Workplace Safety 00:02:00
What Is Machine Learning? 00:02:00
Regression 00:03:00
Classification 00:07:00
Clustering 00:03:00
Real World AI – The Yield 00:03:00
What is Azure Machine Learning Studio? 00:07:00
Creating an Experiment 00:12:00
Creating a Regression Model 00:09:00
Creating a Classification Model 00:06:00
Creating a Clustering 00:03:00
Publishing a Predictive Web Service 00:10:00
Consuming a Predictive Web Service 00:11:00
Lesson 2
Introduction to Text Analytics 00:00:00
Word Frequency 00:05:00
Term Frequency – Inverse Document Frequency 00:06:00
Stemming 00:03:00
Sentiment Analysis 00:05:00
Text Analytics 00:07:00
Speech 00:07:00
Translation 00:05:00
Real World AI – Skype Translator in the Classroom 00:02:00
What is LUIS? 00:03:00
Creating a LUIS App 00:06:00
Consuming a LUIS App 00:03:00
Improving a LUIS App 00:03:00
Real World AI – Starship Com 00:03:00
Lesson 3
Image Processing Basics 00:04:00
Equalization 00:04:00
Filters 00:03:00
Edge Detection 00:03:00
Corner Detection 00:03:00
Image Classification 00:08:00
Image Analysis 00:06:00
Face Detection and Recognition 00:07:00
Video Basics 00:03:00
The Video Indexer 00:04:00
The Video Indexer API 00:09:00
Real World AI – Seeing AI 00:03:00
Lesson 4
What is a Bot? 00:01:00
The Microsoft Bot Framework 00:01:00
Creating a Basic Bot 00:07:00
Channel 00:01:00
Bot Intelligence 00:01:00
Creating a QnA Service 00:05:00
Creating a QnA Bot 00:04:00
Cortana Skills 00:04:00
Real World AI – Cortana Skill 00:02:00
Lesson 5
Introduction to AI Engineering 00:01:00
The Data Science Virtual Machine 00:07:00
Deep Learning and the Microsoft Cognitive Toolkit 00:03:00
Real World AI – Autonomous Sailplanes 00:02:00
Conclusion
The First Step of the Journey 00:01:00
Assessment
Submit Your Assignment 00:00:00
Certification 00:00:00

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