DP-201: Designing an Azure Data Solution

In this course, the students will design various data platform technologies into solutions that are in line with business and technical requirements. This can include on-premises, cloud, and hybrid data scenarios which incorporate relational, No-SQL or Data Warehouse data. They will also learn how to design process architectures using a range of technologies for both…

DP-200: Implementing an Azure Data Solution

In this course, the students will implement various data platform technologies into solutions that are in line with business and technical requirements including on-premises, cloud, and hybrid data scenarios incorporating both relational and No-SQL data. They will also learn how to process data using a range of technologies and languages for both streaming and batch…

AI-100: Designing and Implementing an Azure AI Solution

An Azure AI engineer works with Data Engineers and Data Scientists to analyze requirements for AI cloud-based and hybrid AI solutions and implements solutions. They are aware of the various components that make up the Microsoft Azure AI portfolio and related open source frameworks and technologies. The engineer leverages their knowledge to recommend appropriate tools…

DP-100: Designing and Implementing a Data Science Solution on Azure

Data Scientist is the central role in developing machine learning models. This role is responsible for solving the business problem that initiated the project. While the Data Engineer will prepare the data to be used for the models, the Data Scientist determines what data is needed for model training, creates model features from the data,…

Machine Learning with Python

Python in Data Science is huge right now. This course covers the basics to get started looking with classification and regression in Machine Learning. We will use the popular Jupyter and scikit-learn tools to create models, train them, evaluate them, and finally interpret the results. We will use standard numeric evaluators as well as visualization…

Exploring Data with Pandas and Python

Python in Data Science is huge right now. This course covers the basics to get started looking at and manipulating data in Python. We will use the popular Jupyter and Pandas tools to ingest, tweak, visualize, and pivot data. There are ample labs for you to try out the tools on your own. Topics covered…

Writing Solidity Smart Contracts for Ethereum Blockchain

“Blockchain” is the media buzzword, but it’s what developers and businesses can do with smart contracts that are changing the way that companies are doing business. Through smart contracts programming, logic can be applied to blockchains to facilitate business transactions. And, because of the way these apps work, they are enabling all participants on a…

Learn AI Bootcamp for Emerging AI Developers

In the first two days, we will focus on hands-on activities that develop proficiency in AI-oriented services such as Azure Bot Services, Azure Search, and Cognitive Services. During days three and four, we will focus on hands-on activities that develop proficiency in AI-oriented workflows leveraging Azure Machine Learning Workbench and Services, the Team Data Science…

Deep Learning on Azure

As an AI-first organization, Microsoft is infusing data and intelligence into all of our products and services with the goal of empowering people and organizations to achieve more. Microsoft Azure poses itself as an intelligent cloud, providing developers with endless opportunities for creating intelligent applications and services. This course will show you how to craft…

Building Solutions with Microsoft Business Analytics and AI

In this hands-on workshop, you’ll cover a series of modules that guide you from understanding an analytics workload, using the Team Data Science Process, the Microsoft’s Business Analytics and AI Stack, the foundations of data transfer and storage, data source documentation, storage and analytics processing using various tools in a comprehensive solution.

Creating Machine Learning Models with Azure ML

Have you tried to learn about machine learning but ended up spending most of your time writing and debugging your code? Learning about machine learning can often be intimidating because students are expected to know R or Python, or at least learn it as they go. While these programming languages are absolutely essential to anyone…

Spark with HDInsight – Enterprise Ready Machine Learning and Interactive Data Analysis at Scale

Spark has become the most popular and perhaps most important distributed data processing framework for Hadoop. In particular, it is particularly amenable to machine learning and interactive data workloads, and can provide an order of magnitude greater performance than traditional Hadoop data processing tools. In this course, we will provide a deep-dive into Spark as…