Next generation apps have brought intelligence to the software, enabling users to interact with everyday devices in many new ways. The aim of this data science course for developers, you will learn how to create smart applications that use the power of the machine learning to engage with users in previously unimaginable ways. Interested students will be extremely satisfied after completion of this course.
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
| Welcome to Developing Intelligent Applications | 00:05:00 | ||
| Module 1 - Azure Machine Learning Web Services | |||
| Module One Introduction | 00:03:00 | ||
| Azure ML Web Service Overview | 00:02:00 | ||
| Demo: Publish a Web Service | 00:04:00 | ||
| Demo: Test the Web Service | 00:06:00 | ||
| Demo: Viewing Data in Excel | 00:07:00 | ||
| Viewing the Sample Client Code | 00:12:00 | ||
| Demo: Creating a Simple Console-Based Application in C# | 00:08:00 | ||
| Demo: Quick and Simple Web Application | 00:07:00 | ||
| Module 2 - Text Analytics | |||
| Module Two Introduction | 00:02:00 | ||
| What is Text Analytics? | 00:01:00 | ||
| Sign up for Text Analytics APIs | 00:02:00 | ||
| Text Analytics Demo | 00:06:00 | ||
| Demo: Sampling the APIs | 00:08:00 | ||
| Module 3 - Creating "Bots" | |||
| Module Three Introduction | 00:03:00 | ||
| Introduction to Bots | 00:02:00 | ||
| Bots Demo | 00:06:00 | ||
| Working with Bot Dialogs | 00:08:00 | ||
| Get Started with the Bot Builder for C# | 00:07:00 | ||
| Adding State to your Bot | 00:06:00 | ||
| Demonstration of FormFlow | 00:05:00 | ||
| Module 4 - Real Time Event Processing | |||
| Module Four Introduction | 00:03:00 | ||
| Data in Motion and the Data Evolution | 00:08:00 | ||
| Common Real Time Processing Scenarios | 00:06:00 | ||
| Options for Real Time Analytics on Azure | 00:04:00 | ||
| Azure Stream Analytics Overview | 00:05:00 | ||
| Building a Stream Analytics Service | 00:03:00 | ||
| Build an Event Hub Service | 00:05:00 | ||
| Create a Blob Storage Account | 00:04:00 | ||
| Architecture: Inputs and Outputs | 00:06:00 | ||
| T-SQL Language Constructs | 00:05:00 | ||
| Filtering Data | 00:04:00 | ||
| TimeStamping | 00:03:00 | ||
| Windowing | 00:11:00 | ||
| Orb of Intelligence: Text Analytics API integration | 00:08:00 | ||
| New Functionality: Functions | 00:08:00 | ||
| Orb of Intelligence: Azure Machine Learning API integration | 00:07:00 | ||
| Assessment | |||
| Submit Your Assignment | 00:00:00 | ||
| Certification | 00:00:00 | ||
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