In this course we would explore various Big Data Analytics services available on Microsoft Azure cloud.
We would learn HDInsight, Apache Spark, Jupyter, Zappelin, Stream Analytics.
15 sections • 51 lectures • 3h 55m total length
What are Cognitive services?
Difference between AI and Machine Learning
Quick Recap - NUMPY
Quick Recap - Pandas
Simple Bot: Test in Web chat
Develop Simple chatbot
WebChat bot :Get Embeded Code
WebChat bot : Deploy chatbot
Facebook Chatbot : Create Facebook App for FB Business page
Facebook Chatbot : Gather Credentials
Facebook Chatbot : Connect bot services with Facebook App
Facebook Chatbot : Deploy
Facebook Chatbot : Deleting resources
QnA : Creating QnA Maker services
QnA : Knowledge Base
QnA : Deploy
LUIS : Creating and testing LUIS app
LUIS : Publish LUIS app
LUIS : Adding some modification to LUIS app
LUIS : Sentiment Analysis using LUIS App
Custom Vision : Create project
Custom Vision : Upload Image and add tags
Custom Vision : Train model and predict unlabeled image
Custom Vision : Delete Resource
Computer Vision : Create Service
Computer Vision : Analyze image , text in image and generate thumbnail
You should have a Facebook business page
You should have Microsoft Azure account
A basic understanding of Data Analytics concepts would be more than sufficient, however it is not required to begin with this course.
Basic knowledge of web development
Minimal level of Azure Services
Machine learning and Big data analytics are the most future looking skillset. Are you ready to upgrade your skills?
Around 85%of companies were likely to adopt AI and ML algorithm to run their business, therefore it will increase job opportunities as well as stiff competition. Even Big data analytics also playing a vital role in finding meaningful insights from unstructured big data. Meaningful insights will help business to understand customer needs and changes in the trends.
This course will cover ML and big data analytics services offered by Microsoft Azure. ML services includes LUIS, QnA Maker, Computer vision, Content moderator, Translator, Text Analytics whereas for big data analytics service includes Stream Analytics, Data Lake and Data Analytics using HDInsight with Apache Spark, Jupyter and Zappeline.
Microsoft Azure is one of the popular cloud computing platform where you'll deploy all mentioned services.
Topics covered in this learning path:
Simple chatbot integrates in HTML websites
Facebook Chat bot
Question and Answer Maker
LUIS (Language Understanding)
Analyze image and video
Recognition handwritten from text
Translate and many more things
In this course, you'll learn machine learning, data analytics and also cloud computing as well. All of them are most trending domain of IT. So enroll this course and gain skills to beat the thriving competition.
Who this course is for:
Anyone who would be interested to learn Cloud Computing with Microsoft Azure.
Would be interested in learning various Big Data Analytics services and options available on Microsoft Azure.
Want to make a career in Cloud Computing and Data Analytics.
Docker | Kubernetes | AWS | Azure | ML | Linux | Python
3.7 Instructor Rating
I am an Instructor, Devops engineer, machine learning enthusiast, cloud expert and passionate developer.
I have authored 60+ courses with over 50,000+ students worldwide across 175+ countries on wide array of technologies like containerization, machine learning, Linux, programming languages and cloud computing platforms like Microsoft Azure, Amazon Web Service and IBM Cloud.