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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