On August 11, 2017, it was announced that OpenAI beat the world’s top professionals at 1v1 matches of Dota 2 tournament under standard rules. The bot’s Artificial Intelligence (AI) learned the game from scratch through self-play. This is a feat of achievement for AI as Elon Musk states this is “vastly more complex than traditional board games like chess & Go.” Shortly after it was announced that the AI bot won the tournament, Elon Musk also tweeted out his appreciation and thanks to Microsoft for using the Microsoft Azure cloud computing platform and it’s “massive processing power” to win the tournament. This is a really great example of how the massive computing power of Microsoft Azure can be used, in addition to yet another stepping stone in the path towards much more advanced Artificial Intelligence (AI). Read More
It seems there is constant news on the Microsoft certification front. Last fall, Microsoft shook up the entire MCP program with some amazing changes to how Azure certifications are integrated in the tracks, as well as the ability to renew MCSD and MCSE certifications annually with an elective exam. Now they are continuing to expand with new certification targeting the extremely popular realm of Machine Learning. The all new MCSA: Machine Learning certification is being added as an option to earn!
Update May 27, 2017: Microsoft announced that they’ve renamed the MCSA: Data Science certification to MCSA: Machine Learning.
Machine Learning is one of the hottest topics and technologies in the industry right now. Machine Learning is being used to combine with Big Data to automate the processes of gaining insights and predicting future behavior of systems, devices, and people. In an effort to expand out the breadth of certifications and exams offered around Microsoft Azure and the cloud, Microsoft has added the Perform Cloud Data Science with Azure Machine Learning (70-774) exam.
Certification Target Audience
The focus on the Perform Cloud Data Science with Azure Machine Learning (70-774) exam is centered around Azure Machine Learning, Bot Framework, and Cognitive Services. The exam is designed to target candidates who are Data Scientists or Analysts using the Microsoft Azure cloud services to build and deploy intelligent solutions. This exam will test your understanding and familiarity with common data science processes such as filtering and transforming data sets, model estimation, and model evaluation.
Here is a high level list of the skills and objectives measured on this exam:
- Prepare Data and Analytics in Azure Machine Learning and Export from Azure Machine Learning
- Import and export data to and from Azure Machine Learning
- Explore and summarize data
- Cleanse data for Azure Machine Learning
- Perform feature engineering
- Develop Machine Learning Models
- Select an appropriate algorithm or method
- Initialize and train appropriate models
- Validate models
- Operationalize and Manage Azure Machine Learning services
- Deploy models using Azure Machine Learning
- Manage Azure Machine Learning projects and workspaces
- Consume Azure Machine Learning models
- Consume exemplar Cognitive Services APIs
- Use Other Services for Machine Learning
- Build and use neural networks with the Microsoft Cognitive Toolkit
- Streamline development by using existing resources
- Perform data sciences at scale by using HDInsights
- Perform database analytics by using SQL Server R Services on Azure
When studying for this exam, you’ll definitely want to look at the official exam page from Microsoft for the full list of exam objectives. You’ll need to be sure to study every one of them that will be measured on the exam.
At the time of writing this summary of the 70-774 Perform Cloud Data Science with Azure Machine Learning, the exam is still in Beta as it was just recently published. This means there aren’t any exam guide books, or practice exams available yet. To study for this exam, you’ll need to rely mostly on the Azure Machine Learning documentation, as well as the documentation for the other Azure services and technologies listed in the exam objectives.
Not specific to just this exam, there are some additional resources available from various sources that do cover the technologies and skills measured on this exam. Here’s a short list of a few of these additional resources that may help in studying for this exam:
- Free eBooks
- Microsoft Azure Essentials: Azure Machine Learning by Jeff Barnes
- Introducing Microsoft Azure HDInsight by Avkash Chauhan, Valentive Fontama, and 3 others
- Video Courses from Opsgility
- Video Courses from Pluralsight
- Getting Started with Azure Machine Learning by Jerry Kurt
- Getting Started with Building Bots with Microsoft’s Bot Framework by Matthew Kruczek
- HDInsight Deep Dive: Storm, HBase, and Hive by Elton Stoneman