Microsoft MCSA: Machine Learning - Only 6 Days

Seven reasons why you should sit your MCSA Machine Learning course with Firebrand Training

Find Out How We Help You To Learn New Skills Quickly

  1. You'll be MCSA Machine Learning certified in just 6 days. With us, you’ll be MCSA Machine Learning trained in record time
  2. Our MCSA Machine Learning course is all-inclusive. A one-off fee covers all course materials, exams, accommodation and meals. No hidden extras
  3. Pass MCSA Machine Learning first time or train again for free. This is our guarantee. We’re confident you’ll pass your course first time. But if not, come back within a year and only pay for accommodation, exams and incidental costs
  4. You’ll learn more MCSA Machine Learning. A day with a traditional training provider generally runs from 9am – 5pm, with a nice long break for lunch. With Firebrand Training you’ll get at least 12 hours/day quality learning time, with your instructor
  5. You’ll learn MCSA Machine Learning faster. Chances are, you’ll have a different learning style to those around you. We combine visual, auditory and tactile styles to deliver the material in a way that ensures you will learn faster and more easily
  6. You’ll be studying MCSA Machine Learning with the best. We’ve been named in Training Industry’s “Top 20 IT Training Companies of the Year” every year since 2010. As well as winning many more awards, we’ve trained and certified 65,217 professionals, and we’re partners with all of the big names in the business
  7. You'll do more than study MCSA Machine Learning courseware. We use practical exercises to make sure you can apply your new knowledge to the work environment. Our instructors use demonstrations and real-world experience to keep the day interesting and engaging

Think you are ready for the course? Take a FREE practice test to assess your knowledge!

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Here's the Firebrand Training review section. Since 2001 we've trained exactly 65,217 students and asked them all to review our Accelerated Learning. Currently, 96.56% have said Firebrand exceeded their expectations:



"It was a great experience. Definitely would recommend the course."
Junaid Shakoor, Perspective Publishing Limited. - Microsoft Programming in HTML5 with JavaScript and CSS3 (3 days) (11/11/2017 to 13/11/2017)

"I found the whole experience very good. It was new to literally living at the training centre and purely focus on this, but I think this works really well. Can't fault anything to do with the training centre or the trainer, who was exceptional."
Andrew Martin, Pennine. - Microsoft Deploying Enterprise Voice with Skype for Business 2015 (3 days) (9/11/2017 to 11/11/2017)

"Very good course and instructor, mixed course details with real life experience."
Anonymous - Microsoft Deploying Enterprise Voice with Skype for Business 2015 (3 days) (9/11/2017 to 11/11/2017)

"An intensive course but still managed to go through all material."
Anonymous - Microsoft Core Solutions of Skype for Business 2015 (3 days) (6/11/2017 to 8/11/2017)

"The Location is perfect, quiet and peaceful. Great experience."
Dave Palmer, Capgemini. - Microsoft Architecting Microsoft Azure Solutions (2 days) (4/11/2017 to 5/11/2017)

"Firebrand have a clear mission to assist you with their capacity to teach. They are very customer friendly at the Centre and always try to help. AAA+++"
Simon Korie, NA. - Microsoft Architecting Microsoft Azure Solutions (2 days) (4/11/2017 to 5/11/2017)

"The instructor made the course accessible and interesting."
Matthew Ottley, Manuli Hydraulics UK Ltd. - Microsoft MCSE: Server Infrastructure (6 days) (30/10/2017 to 4/11/2017)

"The trainer had good hands-on experience of the product, which made the course interesting."
Thomas Thomas, Diyar United Co. - Microsoft MCSE: Messaging (Exchange 2016) (6 days) (2/10/2017 to 7/10/2017)

"Excellent trainer. "
J.PK, Diyar United Company. - Microsoft MCSE: Messaging (Exchange 2016) (6 days) (2/10/2017 to 7/10/2017)

"My level of knowledge of SQL was null when I started the course, after the first three days I had a basic idea of how to use TSQL to write queries, although the second part of the course was really advance for a beginner, it was really good explained and I was able to understand most of it and will keep in the future. Didn't pass the first test and I did not do the second test. "
Merce Bauza Cerezo, HEE. - Microsoft MCSA: SQL Server 2016 - Database Development (6 days) (30/10/2017 to 4/11/2017)

"Enjoyed my time doing SQL 2016 DD. The condensed long day format works very well for me. I even have a a Failure is not an option T-Shirt. I really like these courses."
Roy Casella, Designated. - Microsoft MCSA: SQL Server 2016 - Database Development (6 days) (30/10/2017 to 4/11/2017)

"Good course, very intense though. Very good coverage of all concepts - trainer was extremely knowledgeable and helpful."
Barry Henty, Natures Way Foods Ltd. - Microsoft MCSA: SQL Server 2016 - Database Development (6 days) (30/10/2017 to 4/11/2017)

"It is a great experience with very good course quality."
Brayan De Abreu, Service Works Group.. - Microsoft MCSA: SQL Server 2016 - Database Development (6 days) (30/10/2017 to 4/11/2017)

"Firebrand exceeded my expectations. With just starting career in IT I was provided with courseware and referencing material I will constantly be referring to even after the course has finished."
Hayley Bean, Steelite International Ltd. - Microsoft MCSA: SQL Server 2016 - Database Development (6 days) (30/10/2017 to 4/11/2017)

"I had heard a few things about Firebrand training prior to arriving certain individuals said I would be forced to stay up reading and studying all night. But after experiencing it myself I learnt that everyone's experience is different. The food and accommodation is amazing and the learning is set to a bearable pace that you have the opportunity to settle down and let the knowledge sink in."
Alexander Farrow Harson, Department for Education. - Microsoft MCSA: SQL Server 2016 - Database Development (6 days) (30/10/2017 to 4/11/2017)

"Great location, friendly and helpful team. The food was delicious! "
Mark Tshuma, ICAEW. - Microsoft Dynamics 365 Development (3 days) (30/10/2017 to 1/11/2017)

"Great facilities and experienced staff and trainer."
Michael ODonnell, Sopra Steria Ltd. - Microsoft MCSE: Private Cloud (6 days) (23/10/2017 to 28/10/2017)

"Training was brilliant, our instructor was superb and actually managed to make IT engaging and interesting so kudos to that. Facilities are good, but the days are long and intense!"
James Lewis, Carillion Communications Ltd. - Microsoft MCSA: Windows 10 (6 days) (23/10/2017 to 28/10/2017)

"If you are serious about learning and want to excel in your chosen profession take a Firebrand course and set yourself up for life."
S.L.. - Microsoft MCSA: Windows 10 (6 days) (23/10/2017 to 28/10/2017)

"Instructors are extremely knowledgeable, supportive and very approachable."
Stephen Austin, Clearcast. - Microsoft MCSA: Windows 10 (6 days) (23/10/2017 to 28/10/2017)

"If you need training or qualifications, and you need it now, forget trying to learn from a book, or local collage where it may get strung out over months. A course at Firebrand delivers everything you need quickly, comprehensively and in a smooth professional manor. So who you gonna call?"
D.J., Dazzle Computer Solutions (Self Employed). - Microsoft MCSA: Windows 10 (6 days) (23/10/2017 to 28/10/2017)

"The training provided was hard, however the trainer made it easier to cope with and get knowledge out of the lesson without getting bogged down in information"
D.V., Platinum Stairlifts LTD . - Microsoft MCSA: Windows 10 (6 days) (23/10/2017 to 28/10/2017)

"This is the best experience I have had over my seven trips to Firebrand Wyboston and this is because of how the instructor has put the knowledge across to us. "
Anonymous - Microsoft MCSA: Windows 10 (6 days) (23/10/2017 to 28/10/2017)

"Had a good experience with firebrand Training. It was hard but was produce well by my lecturer which gave us a better chance of taking in the information and learning it for the exam. Must be prepared for very long days and very short nights but apart from that all was good and accommodation in executive suite was nice, clean and sanitary."
Jack Pollinger, Lockheed martin. - Microsoft MCSA: Windows 10 (6 days) (23/10/2017 to 28/10/2017)

"Having studied at firebrand previously I was eager to return for the MCSA Server 2016 course. The learning environment and proximity of hotel at the Wyboston site suited me well. If you never find time to study at work or in your personal time then firebrand provide the perfect environment for both learning and passing exams, and all without taking too much time away from work."
Anonymous - Microsoft MCSA: Windows Server 2016 (11 days) (12/10/2017 to 22/10/2017)

"A fantastic course with a great instructor. Worth every penny."
Daniel De La Flor. - Microsoft MCSA: Windows Server 2016 (11 days) (12/10/2017 to 22/10/2017)

"Intense and knowledge filled, but the rewards are worth it."
Anonymous - Microsoft MCSA: Office 365 (5 days) (16/10/2017 to 20/10/2017)

"If you are capable of keeping up with intense training you will definitely be qualified by the end of your course!"
Ben Gerrard, Fourteen IP. - Microsoft Windows Server 2016 - Installation, Storage and Compute (4 days) (12/10/2017 to 15/10/2017)

"Great instructor and course content delivery. Highly recommended."
G.R.. - Microsoft Windows Server 2016 - Installation, Storage and Compute (4 days) (12/10/2017 to 15/10/2017)

"Really good course, great pace and the instructor was of course very knowledgeable about the subject. I feel like I have a greater understanding of the workings of server 2016, and I am very excited for the next part of the course. Cheers guys! "
Kristian Ward, Switch Networks Ltd. - Microsoft Windows Server 2016 - Installation, Storage and Compute (4 days) (12/10/2017 to 15/10/2017)

"Recommend this course for anyone in the IT industry as Firebrand has a great base of knowledge. "
Anonymous - Microsoft Windows Server 2016 - Installation, Storage and Compute (4 days) (12/10/2017 to 15/10/2017)

"Great instructor, and a well lead course."
Anonymous - Microsoft Windows Server 2016 - Installation, Storage and Compute (4 days) (12/10/2017 to 15/10/2017)

"Have had a good experience at Firebrand. The instructor has been fantastic and has provided all the information needed to pass the exams."
B.R., Halton Borough Council. - Microsoft MCSD: SharePoint 2013 Applications – Developing Server Solutions (6 days) (9/10/2017 to 14/10/2017)

"Firebrand taught me 2 months ago for a networking course and was just as good this time, highly recommend Firebrand. Until next time!"
Jordan Duncan, LSI Architects. - Microsoft MTA Security Fundamentals (2 days) (6/10/2017 to 7/10/2017)

"This is now the 3rd time I have attended a Firebrand course and still cannot fault them. Each instructor I've had has been extremely knowledge and helpful. I have recommended FB to many colleagues."
Laura OConnor, Utilita Energy Limited. - Microsoft MTA Security Fundamentals (2 days) (6/10/2017 to 7/10/2017)

"The course was intensive with a lot to take in during a short period but you have every resource you need. Great Staff, great atmosphere and you get well looked after too. I'll be back!"
D.W.. - Microsoft MCSE: Messaging (Exchange 2016) (6 days) (2/10/2017 to 7/10/2017)

"Excellent tutor, all explained clearly and in detail."
Arkadiusz Rycyk, Environ Audio Ltd. - Microsoft Programming in C# (4 days) (2/10/2017 to 5/10/2017)

"The teaching was dynamic, engaging, immersive and knowledgeable. The instructor made complex concepts simple. I enjoyed the course very much. "
Richard Barnes, Whale Tankers. - Microsoft Programming in C# (4 days) (2/10/2017 to 5/10/2017)

"Intense but very rewarding course, learned a lot in a few days."
S.S.. - Microsoft Programming in C# (4 days) (2/10/2017 to 5/10/2017)

"The course was very intense and very informative, real examples were given to concepts hard to understand."
Anonymous - Microsoft Programming in C# (4 days) (2/10/2017 to 5/10/2017)

"Training with Firebrand has been a great way to kick-start my IT certifications and to help me aim to progress in my careers. Instructors are knowledgeable and insightful and the learning experience was top notch!"
L.M.. - Microsoft MTA: Windows Server Administration Fundamentals (2 days) (2/10/2017 to 3/10/2017)

"Great facilities, good teacher and an enjoyable course."
Adam Batten. - Microsoft MTA Software Development Fundamentals (2 days) (28/9/2017 to 29/9/2017)

"This course was condensed but covered most of the topics. Will recommend to my colleagues and friends. One has to understand OOP, SDLC, VS, .net +Core. The Dev course was tough for me but the trainer made it understandable for me. "
P.A., kpdsolutions Ltd and contract client - TfL. - Microsoft MCSE: Cloud Platform and Infrastructure (Azure) (9 days) (9/9/2017 to 17/9/2017)

"As expected, I had an excellent experience here and the instructor knew the subject matter very well. I will definitely recommend Firebrand anytime and any day."
Ekhorutomwen Asemota, Capgemini. - Microsoft Architecting Microsoft Azure Solutions (2 days) (16/9/2017 to 17/9/2017)

"Excellent and to the point, cannot not praise enough the instructor whose delivery was impeccable. "
P.V.. - Microsoft MCSD: Azure Solutions Architect (9 days) (9/9/2017 to 17/9/2017)

"The training was well structured and comprehensive. I filled in my Azure knowledge gaps and the instructor prepared me for the exams excellently, and was extremely knowledgeable, patient, and friendly throughout. All hail Lord Chinzilla!"
Chris Smallman. - Microsoft MCSE: Cloud Platform and Infrastructure (Azure) (9 days) (9/9/2017 to 17/9/2017)

"Lots of long days paid off - the course was tough but greatly rewarding. The instructor was a brilliant coach and we wouldn't have made it through the 9 days without him. The food wasn't bad either!"
Joseph Ellis, PA Consulting. - Microsoft MCSE: Cloud Platform and Infrastructure (Azure) (9 days) (9/9/2017 to 17/9/2017)

"The instructor has been great. Extremely enthusiastic and engaging. Would definitely recommend him to my colleagues. The structure and coverage of the material will definitely help me succeed with Azure, thanks Victor!"
Tarun Julka, Diligent Corporation. - Microsoft MCSE: Cloud Platform and Infrastructure (Azure) (9 days) (9/9/2017 to 17/9/2017)

"I always enjoy my courses at Firebrand and would recommend people take their courses here."
Ridhan Romjon, Retail 247. - Microsoft MCSE: Cloud Platform and Infrastructure (Azure) (9 days) (9/9/2017 to 17/9/2017)

"Intensive means just that. Long and exhausting training days but the quality of instruction makes the time fly by. Looking forward to part 2!"
C.P.. - Microsoft Implementing Microsoft Azure Infrastructure Solutions (3 days) (9/9/2017 to 11/9/2017)

Your accelerated MCSA: Machine Learning course will teach you skills in operationalising Microsoft Azure machine learning and Big Data with R Server and SQL R Services. You'll learn to process and analyse large data sets using R and use Azure cloud services to build and deploy intelligent solutions.

Your expert Microsoft Certified Trainer (MCT) will immerse you in the course. You will learn through Firebrand's unique Lecture | Lab | Review technique - helping you to build and retain knowledge faster than traditional training styles. You will develop practial skills relevant to real world application, getting hands-on with Microsoft R Server, SQL R Services, Azure Machine Learning, Cognitive Services and Bot Framework technologies.

You'll cover a range of big data, Microsoft R and cloud data science topics including:

  • How to read, explore and process big data
  • Building predictive models with ScaleR
  • Developing machine learning models
  • Preparing data for analysis in Azure machine learning
  • How to operationalise and manage Azure machine learning services

During your 6-day accelerated MCSA course, you'll also be prepared for exams 70-773: Analyzing Big Data with Microsoft R and 70-774: Perform Cloud Data Science with Azure Machine Learning. You'll sit both exams at the Firebrand training centre during the course. Covered by your Certification Guarantee.

The MCSA Machine Learning certification is designed for those looking to demonstrate their expertise using R and Azure Machine Learning - best suited to data science or data analyst job roles. Achieving the MCSA certification will act as the first step to becoming a Data Management and Analytics Microsoft Certified Solutions Expert (MCSE).

Read more ...

Interested? See prices or call 080 80 800 888

Use your free Microsoft training vouchers

You may be entitled to heavily-discounted training via Microsoft's Software Assurance Training Voucher (SATV) scheme. If your business has bought Microsoft software, check to see if it came bundled with free training vouchers! Vouchers can be exchanged against training for all Microsoft technologies. If you’re unsure, get in touch with us

Other accelerated training providers rely heavily on lecture and independent self-testing and study.

Effective technical instruction must be highly varied and interactive to keep attention levels high, promote camaraderie and teamwork between the students and instructor, and solidify knowledge through hands-on learning.

Firebrand Training provides instruction to meet every learning need:

  • Intensive group instruction
  • One-on-one instruction attention
  • Hands-on labs
  • Lab partner and group exercises
  • Question and answer drills
  • Independent study

This information has been provided as a helpful tool for candidates considering training. Courses that include certification come with a Certification Guarantee. Pass first time or train again for free (just pay for accommodation, exams and incidental costs). We do not make any guarantees about personal successes or benefits of obtaining certification. Benefits of certification determined through studies do not guarantee any particular personal successes.

Read more ...

Interested? See prices or call 080 80 800 888

Course 20773A: Analyzing Big Data with Microsoft R


Module 1: Microsoft R Server and R Client

Explain how Microsoft R Server and Microsoft R Client work.

Lessons

  • What is Microsoft R server
  • Using Microsoft R client
  • The ScaleR functions

Lab : Exploring Microsoft R Server and Microsoft R Client

  • Using R client in VSTR and RStudio
  • Exploring ScaleR functions
  • Connecting to a remote server

After completing this module, you’ll be able to:

  • Explain the purpose of R server.
  • Connect to R server from R client
  • Explain the purpose of the ScaleR functions.

Module 2: Exploring Big Data

At the end of this module the student will be able to use R Client with R Server to explore big data held in different data stores.

Lessons

  • Understanding ScaleR data sources
  • Reading data into an XDF object
  • Summarizing data in an XDF object

Lab : Exploring Big Data

  • Reading a local CSV file into an XDF file
  • Transforming data on input
  • Reading data from SQL Server into an XDF file
  • Generating summaries over the XDF data

After completing this module, you’ll be able to:

  • Explain ScaleR data sources
  • Describe how to import XDF data
  • Describe how to summarize data held in XCF format

Module 3: Visualizing Big Data

Explain how to visualize data by using graphs and plots.

Lessons

  • Visualizing In-memory data
  • Visualizing big data

Lab : Visualizing data

  • Using ggplot to create a faceted plot with overlays
  • Using rxlinePlot and rxHistogram

After completing this module, you’ll be able to:

  • Use ggplot2 to visualize in-memory data
  • Use rxLinePlot and rxHistogram to visualize big data

Module 4: Processing Big Data

Explain how to transform and clean big data sets.

Lessons

  • Transforming Big Data
  • Managing datasets

Lab : Processing big data

  • Transforming big data
  • Sorting and merging big data
  • Connecting to a remote server

After completing this module, you’ll be able to:

  • Transform big data using rxDataStep
  • Perform sort and merge operations over big data sets

Module 5: Parallelizing Analysis Operations

Explain how to implement options for splitting analysis jobs into parallel tasks.

Lessons

  • Using the RxLocalParallel compute context with rxExec
  • Using the revoPemaR package

Lab : Using rxExec and RevoPemaR to parallelize operations

  • Using rxExec to maximize resource use
  • Creating and using a PEMA class

After completing this module, you’ll be able to:

  • Use the rxLocalParallel compute context with rxExec
  • Use the RevoPemaR package to write customized scalable and distributable analytics.

Module 6: Creating and Evaluating Regression Models

Explain how to build and evaluate regression models generated from big data

Lessons

  • Clustering Big Data
  • Generating regression models and making predictions

Lab : Creating a linear regression model

  • Creating a cluster
  • Creating a regression model
  • Generate data for making predictions
  • Use the models to make predictions and compare the results

After completing this module, you’ll be able to:

  • Cluster big data to reduce the size of a dataset.
  • Create linear and logit regression models and use them to make predictions.

Module 7: Creating and Evaluating Partitioning Models

Explain how to create and score partitioning models generated from big data.

Lessons

  • Creating partitioning models based on decision trees.
  • Test partitioning models by making and comparing predictions

Lab : Creating and evaluating partitioning models

  • Splitting the dataset
  • Building models
  • Running predictions and testing the results
  • Comparing results

After completing this module, you’ll be able to:

  • Create partitioning models using the rxDTree, rxDForest, and rxBTree algorithms.
  • Test partitioning models by making and comparing predictions.

Module 8: Processing Big Data in SQL Server and Hadoop

Explain how to transform and clean big data sets.

Lessons

  • Using R in SQL Server
  • Using Hadoop Map/Reduce
  • Using Hadoop Spark

Lab : Processing big data in SQL Server and Hadoop

  • Creating a model and predicting outcomes in SQL Server
  • Performing an analysis and plotting the results using Hadoop Map/Reduce
  • Integrating a sparklyr script into a ScaleR workflow

After completing this module, you’ll be able to:

  • Use R in the SQL Server and Hadoop environments.
  • Use ScaleR functions with Hadoop on a Map/Reduce cluster to analyze big data.

Course 20774A: Perform Cloud Data Science with Azure Machine Learning


Module 1: Introduction to Machine Learning

This module introduces machine learning and discussed how algorithms and languages are used.

Lessons

  • What is machine learning?
  • Introduction to machine learning algorithms
  • Introduction to machine learning languages

Lab : Introduction to machine Learning

  • Sign up for Azure machine learning studio account
  • Run a simple experiment from gallery
  • Evaluate an experiment

After completing this module, you’ll be able to:

  • Describe machine learning
  • Describe machine learning algorithms
  • Describe machine learning languages

Module 2: Introduction to Azure Machine Learning

Describe the purpose of Azure Machine Learning, and list the main features of Azure Machine Learning Studio.

Lessons

  • Azure machine learning overview
  • Introduction to Azure machine learning studio
  • Developing and hosting Azure machine learning applications

Lab : Introduction to Azure machine learning

  • Explore the Azure machine learning studio workspace
  • Clone and run a simple experiment
  • Clone an experiment, make some simple changes, and run the experiment

After completing this module, you’ll be able to:

  • Describe Azure machine learning.
  • Use the Azure machine learning studio.
  • Describe the Azure machine learning platforms and environments.

Module 3: Managing Datasets

At the end of this module the student will be able to upload and explore various types of data in Azure machine learning.

Lessons

  • Categorizing your data
  • Importing data to Azure machine learning
  • Exploring and transforming data in Azure machine learning

Lab : Visualizing Data

  • Prepare Azure SQL database
  • Import data
  • Visualize data
  • Summarize data

After completing this module, you’ll be able to:

  • Understand the types of data they have.
  • Upload data from a number of different sources.
  • Explore the data that has been uploaded.

Module 4: Preparing Data for use with Azure Machine Learning

This module provides techniques to prepare datasets for use with Azure machine learning.

Lessons

  • Data pre-processing
  • Handling incomplete datasets

Lab : Preparing data for use with Azure machine learning

  • Explore some data using Power BI
  • Clean the data

After completing this module, you’ll be able to:

  • Pre-process data to clean and normalize it.
  • Handle incomplete datasets.

Module 5: Using Feature Engineering and Selection

This module describes how to explore and use feature engineering and selection techniques on datasets that are to be used with Azure machine learning.

Lessons

  • Using feature engineering
  • Using feature selection

Lab : Using feature engineering and selection

  • Merge datasets
  • Use PCA to reduce dimensions
  • Select some variables and edit metadata

After completing this module, you’ll be able to:

  • Use feature engineering to manipulate data.
  • Use feature selection.

Module 6: Building Azure Machine Learning Models

This module describes how to use regression algorithms and neural networks with Azure machine learning.

Lessons

  • Azure machine learning workflows
  • Scoring and evaluating models
  • Using regression algorithms
  • Using neural networks

Lab : Building Azure machine learning models

  • Using Azure machine learning studio modules for regression
  • Evaluate machine learning models
  • Add further regression models
  • Create and run a neural-network based application

After completing this module, you’ll be able to:

  • Describe machine learning workflows.
  • Explain scoring and evaluating models.
  • Describe regression algorithms.
  • Use a neural-network.

Module 7: Using Classification and Clustering with Azure machine learning models

This module describes how to use classification and clustering algorithms with Azure machine learning.

Lessons

  • Using classification algorithms
  • Clustering techniques
  • Selecting algorithms

Lab : Using classification and clustering with Azure machine learning models

  • Using Azure machine learning studio modules for classification.
  • Add k-means section to an experiment
  • Add PCA for anomaly detection.
  • Evaluate the models

After completing this module, you’ll be able to:

  • Use classification algorithms.
  • Describe clustering techniques.
  • Select appropriate algorithms.

Module 8: Using R and Python with Azure Machine Learning

This module describes how to use R and Python with azure machine learning and choose when to use a particular language.

Lessons

  • Using R
  • Using Python
  • Using Jupyter notebooks
  • Supporting R and Python

Lab : Using R and Python with Azure machine learning

  • Adding R and Python scripts
  • Using Python with Visual Studio IDE
  • Add a Jupyter notebook
  • Run Jupyter notebook
  • Import packages for R/Python
  • Data visualization using R/Python
  • R programming to work on a time series

After completing this module, you’ll be able to:

  • Explain the key features and benefits of R.
  • Explain the key features and benefits of Python.
  • Use Jupyter notebooks.
  • Support R and Python.

Module 9: Initializing and Optimizing Machine Learning Models

This module describes how to use hyper-parameters and multiple algorithms and models, and be able to score and evaluate models.

Lessons

  • Using hyper-parameters
  • Using multiple algorithms and models
  • Scoring and evaluating ensembles

Lab : Initializing and optimizing machine learning models

  • Using hyper-parameters
  • Build an ensemble using stacking
  • Evaluate the ensemble

After completing this module, you’ll be able to:

  • Use hyper-parameters.
  • Use multiple algorithms and models to create ensembles.
  • Score and evaluate ensembles.

Module 10: Using Azure Machine Learning Models

This module explores how to provide end users with Azure machine learning services, and how to share data generated from Azure machine learning models.

Lessons

  • Deploying and publishing models
  • Exporting data

Lab : Using Azure machine learning models

  • Deploy machine learning models
  • Consume a published model
  • Export data
  • Use exported data in machine learning model

After completing this module, you’ll be able to:

  • Deploy and publish models.
  • Export data to a variety of targets.

Module 11: Using Cognitive Services

This module introduces the cognitive services APIs for text and image processing to create a recommendation application, and describes the use of neural networks with Azure machine learning.

Lessons

  • Cognitive services overview
  • Processing text
  • Processing images
  • Creating recommendations

Lab : Using Cognitive Services

  • Create and run a text processing application
  • Create and run an image processing application
  • Create and run a recommendation application

After completing this module, you’ll be able to:

  • Describe cognitive services.
  • Process text through an application.
  • Process images through an application.
  • Create a recommendation application.

Module 12: Using Machine Learning with HDInsight

This module describes how use HDInsight with Azure machine learning.

Lessons

  • Introduction to HDInsight
  • HDInsight cluster types
  • HDInsight and machine learning models

Lab : Machine Learning with HDInsight

  • Deploy an HDInsight cluster
  • Use the HDInsight cluster
  • Display data in Power BI

After completing this module, you’ll be able to:

  • Describe the features and benefits of HDInsight.
  • Describe the different HDInsight cluster types.
  • Use HDInsight with machine learning models.

Module 13: Using R Services with Machine Learning

This module describes how to use R and R server with Azure machine learning, and explain how to deploy and configure SQL Server and support R services.

Lessons

  • R and R server overview
  • Using R server with machine learning
  • Using R with SQL Server

Lab : Using R services with machine learning

  • Deploy DSVM
  • Explore the data science VM
  • Configure R server
  • Run a sample R server application
  • Deploy a SQL server 2016 Azure VM
  • Configure SQL Server to allow execution of R scripts
  • Execute R scripts inside T-SQL statements
  • Use R to visualize data

After completing this module, you’ll be able to:

  • Implement interactive queries.
  • Perform exploratory data analysis.

Read more ...

Interested? See prices or call 080 80 800 888

You will sit the following exams on-site, during the course. Covered by your Certification Guarantee.

Exam 70-773: Analyzing Big Data with Microsoft R

Technology: Microsoft R Server, SQL R Services

Languages: English

Skills measured:

  • Read and explore big data
  • Process big data
  • Build predictive models with ScaleR
  • Use R Server in different environments

Exam 70-774: Perform Cloud Data Science with Azure Machine Learning

Technology: Azure Machine Learning, Bot Framework, Cognitive Services

Languages: English

Skills measured:

  • Prepare Data for Analysis in Azure Machine Learning and Export from Azure Machine Learning
  • Develop Machine Learning Models
  • Operationalise and Manage Azure Machine Learning Services
  • Use Other Services for Machine Learning

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Interested? See prices or call 080 80 800 888

Firebrand Training offers top-quality technical education and certification training in an all-inclusive course package specifically designed for the needs and ease of our students. We attend to every detail so our students can focus solely on their studies and certification goals.

Our Accelerated Learning Programmes include:

  • Intensive Hands-on Training Utilising our (Lecture | Lab | Review)TM Delivery
  • Comprehensive Study Materials, Program Courseware and Self-Testing Software including MeasureUp *
  • Fully instructor-led program with 24 hour lab access
  • Examination vouchers **
  • On site testing ***
  • Accommodation, all meals, unlimited beverages, snacks and tea / coffee****
  • Transportation to/from designated local railway stations
  • Examination Passing Policy

Our instructors teach to accommodate every student's learning needs through individualised instruction, hands-on labs, lab partner and group exercises, independent study, self-testing, and question/answer drills.

Firebrand Training has dedicated, well-equipped educational facilities where you will attend instruction and labs and have access to comfortable study and lounging rooms. Our students consistently say our facilities are second-to-none.

Firebrand goes digital

We’re currently migrating from printed to digital courseware. Some courseware is already available in digital, while other books remain in printed form. To find out if this course is digital, call us on 080 80 800 888.

There are several benefits of easy-to-use digital courseware: downloads are immediate, and you’ll always have your courseware available wherever you are. You won’t need to wait for a printed book to be delivered before you start learning – and it’s better for the environment. You can choose to download the courseware to your own device, or borrow one of ours.

Considering a Microsoft course? Always have the most up-to-date Microsoft digital courseware with ‘Fresh Editions’. This gives you access to all versions of digital courseware – you’ll receive updates and revisions of your textbook, at no charge, for the life of that course.

Examination Passing Policy

Should a student complete a Firebrand Training Program without having successfully passed all vendor examinations, the student may re-attend that program for a period of one year.  Students will only be responsible for accommodations and vendor exam fees.

Please note

  • * Not on all courses
  • ** Examination vouchers are not included for the following courses: PMI, GIAC, CISA, CISM, CGEIT, CRISC, CISSP CBK Review and CSX Practitioner Level 1,2 and 3
  • *** On site testing is not included for our PMI, GIAC, CSX Practitioner or ITIL Managers and Revision Certification Courses.
  • **** Accommodation not included on the CISSP CBK Review Seminar

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Interested? See prices or call 080 80 800 888

It is recommended you have the following prerequisite skills and knowledge before attending the course:

  • Experience of publishing effective APIs for knowledge intelligence
  • Knowledge of Azure data services and machine learning
  • Familiarity with common data science processes - filtering and transforming data sets, model estimation and model evaluation
  • Experience of working with R - writing and debugging R functions
  • Understanding of data structures
  • Basic knowledge programming concepts - control flow and scope
  • Be familiar with common statistical methods and data analysis best practices
  • A high-level understanding of data platforms - the Hadoop ecosystem, SQL Server and core T-SQL capabilities

Unsure whether you meet the prerequisites?

Don’t worry - we’ll discuss your technical background, experience and qualifications to determine whether this accelerated course suits you.

Just call us on 080 80 800 888 and speak to one of our enrolment consultants.

Firebrand is an immersive environment and requires commitment. Some prerequisites are simply guidelines; you may find your unique experience, attitude and determination enables you to succeed on your accelerated course.

Interested? See prices or call 080 80 800 888