Microsoft MCSA: Machine Learning - Only 6 Days

Why

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 68,075 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!

What

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).

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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.

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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.

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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, CREST and CISSP CBK Review. Exam vouchers may also not be included for Apprentices and will require a separate purchase by an employer due to Education and Skills Funding Agency guidelines.
  • *** On site testing is not included for our PMI, GIAC, CREST, CSX Practitioner or ITIL Managers and Revision Certification Courses
  • **** Accommodation not included on the CISSP CBK Review Seminar

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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

When

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27/8/2018 (Monday)

1/9/2018 (Saturday)

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25/3/2019 (Monday)

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Reviews

Here's the Firebrand Training review section. Since 2001 we've trained exactly 68,075 students and asked them all to review our Accelerated Learning. Currently, 96.73% have said Firebrand exceeded their expectations.

Read reviews from recent accelerated courses below or visit Firebrand Stories for written and video interviews from our alumni.


"A nice, informative atmosphere to study the course you have elected to take, complete with experienced instructors."
Richard Swann, Yesss Electrical Ltd. - Microsoft Programming in C# (4 days) (25/9/2018 to 28/9/2018)

"A great, informative atmosphere to study the course you have elected to take, complete with experienced mentors."
Connor Hyde, Yesss Electrical Ltd. - Microsoft Programming in C# (4 days) (25/9/2018 to 28/9/2018)

"The Azure course provided an excellent in-depth look at the architecture, implementation, and security of Microsoft's cloud offering. The instructor demonstrated great knowledge and enthusiasm for the subject."
D.M., NCC Group. - Microsoft Azure Academy: Infrastructure and Networking (4 days) (24/9/2018 to 27/9/2018)

"An interesting, thought provoking course which has opened my eyes to the power and capability of Azure and indeed the wider concept of cloud computing."
Anonymous. - Microsoft Azure Academy: Infrastructure and Networking (4 days) (24/9/2018 to 27/9/2018)

"Good trainer, decent material. Course largely appropriate to requirement."
A.C.. - Microsoft Azure Academy: Infrastructure and Networking (4 days) (24/9/2018 to 27/9/2018)

"Good environment for learning."
Steven Barker, Nicander Ltd. - Microsoft MCSA: SQL Server 2016 - Database Administration (6 days) (17/9/2018 to 22/9/2018)

"Great course. Intense training but a fast way to learn. Trainers are knowledgeable and positive which helps with the long days involved. "
C.B.. - Microsoft MCSA: SQL Server 2016 - Database Administration (6 days) (17/9/2018 to 22/9/2018)

"If time is of the essence."
Adrian Taplin, Contractor. - Microsoft MCSA: SQL Server 2016 - Database Administration (6 days) (17/9/2018 to 22/9/2018)

"I was unsure I would pick a lot of knowledge about SQL as my previous experience was not good. However, the teaching style and pace has really given me the chance to absorb everything I need to become more knowledgeable in database administration. I will definitely leave this course with a broad understanding of SQL DBA, and I thank the instructor for helping me with this area."
Jonathon Kindred, Optionis. - Microsoft MCSA: SQL Server 2016 - Database Administration (6 days) (17/9/2018 to 22/9/2018)

"Above and beyond truly dedicated trainer with real life experience as well as text book. He'll always ensure you are grasping all concepts."
Shaun Mcgregor. - Microsoft MCSA: Office 365 (5 days) (16/7/2018 to 20/7/2018)

"The course instructor was very experienced in the course, bringing real life experience, which made the training even more interesting."
Vincent Parris, Hearst Magazine UK. - Microsoft MCSA: Office 365 (5 days) (16/7/2018 to 20/7/2018)

"The training from the instructor was very good and can relate to practical experience which is always a good thing and was a subject matter expert. The facilities are very good. "
Mark Burgess. - Microsoft Architecting Microsoft Azure Solutions (3 days) (7/7/2018 to 9/7/2018)

"The training with Firebrand is quick, detailed and helpful. Everything is covered in detail and the training is done in a walk through style with completed examples also available."
J.K, IBM. - Microsoft MTA HTML5 App Development Fundamentals (2 days) (4/7/2018 to 5/7/2018)

"Firebrand training was great! An excellent learning environment, I am amazed how much I have learnt in such a small space of time."
Anonymous - Microsoft MTA Software Development Fundamentals (2 days) (2/7/2018 to 3/7/2018)

"Good fast training, plenty of breaks and practical work with relatable instructors. "
S.C. - Microsoft MTA Software Development Fundamentals (2 days) (2/7/2018 to 3/7/2018)

"Great course, fast past but all course material covered in great detail and extra time to cover problem topics and peoples queries."
Rhys Jupp, Hilton Foods. - Microsoft MTA Software Development Fundamentals (2 days) (2/7/2018 to 3/7/2018)

"Good informative 2 days of training, made light work of a lot of information."
J.S. - Microsoft MTA Software Development Fundamentals (2 days) (2/7/2018 to 3/7/2018)

"I found the training positively challenging, supportive and real world relevant. Looking forward to my next course. "
Gary Bostock, UK MOD. - Microsoft MCSA: Cloud Platform & MCSE: Cloud Platform and Infrastructure (Azure) (10 days) (21/4/2018 to 30/4/2018)

"Never a dull time with Firebrand. I always leave with new knowledge and new friends."
M.D. - Microsoft Windows Server 2016 - Identity (4 days) (21/6/2018 to 24/6/2018)

"Wow! The class was incredible! Long days and intense but our instructor, kept if fun and lively. It was very informative and provided real world examples whilst still preparing students for the exams. I would recommend the course and instructor! Thank you!"
E.S. - Microsoft MCSA: Windows Server 2016 (11 days) (14/6/2018 to 24/6/2018)

"I really enjoyed to be in Wyboston lakes for MCSA: Windows Server 2016 training course and I learnt a lot of important stuff in 11 days only. With my busy schedule it was impossible for me to focus and cover all this topics without attending this boot camp. Thanks Firebrand team!"
Arash Goudarzi, Atlas Copco Support Services NV (Belgium). - Microsoft MCSA: Windows Server 2016 (11 days) (14/6/2018 to 24/6/2018)

"Overall I've been very impressed with the company. I have found the training facility to be very good and all equipment to deliver the training was substantive. The instructor had a breadth and depth of knowledge that has abled me to revisit old skills and develop them to a new level, providing me with a strong foundation to get back to work hitting the ground running. Would highly recommend to my colleagues and peers."
Tim Edwards, Hexegic. - Microsoft MCSA: Windows Server 2016 (11 days) (14/6/2018 to 24/6/2018)

"Our tutor was very thorough, entertaining and funny."
Anonymous - Microsoft Windows Server 2016 - Installation, Storage and Compute (4 days) (14/6/2018 to 17/6/2018)

"Our tutor was very entertaining and funny."
Anonymous, Jolly IT Solutions - Microsoft Windows Server 2016 - Installation, Storage and Compute (4 days) (14/6/2018 to 17/6/2018)

"Great training, great instructor!"
Kyle Parsons, Fidelity. - Microsoft Windows Server 2016 - Installation, Storage and Compute (4 days) (14/6/2018 to 17/6/2018)

"Really good training, I was really happy with it."
Anonymous - Microsoft Windows Server 2016 - Installation, Storage and Compute (4 days) (14/6/2018 to 17/6/2018)

"It is intense and certainly not for the feint hearted! We had a fantastic tutor who was dubbed "The Queen of SQL" forevermore. She made this course incredibly interesting and her enthusiasm was needed to push us through the course in its entirety! "
Jack Buchanan, NA. - Microsoft MCSA: SQL Server 2016 - Database Administration (6 days) (11/6/2018 to 16/6/2018)

"The instructor defiantly have excellent knowledge of the course subject. She is also a natural trainer who can keep all skill levels in mind while training."
Izak Potgieter, Convergint technologies. - Microsoft MCSA: SQL Server 2016 - Database Administration (6 days) (11/6/2018 to 16/6/2018)

"I recommend Firabrand Training to anyone who wants to extend their knowledge on any of the courses that they teach because it is fast track and it is well organised."
David Coleto, CityWest Homes. - Microsoft MTA Database Fundamentals (2 days) (11/6/2018 to 12/6/2018)

"The accelerated training provided good knowledge in able to obtain the certification."
Michael Howard. - Microsoft MCSA: BI Reporting (4 days) (7/6/2018 to 10/6/2018)

"Great training and additional extras, thanks very much."
Edward Williams, Lucid Partnership. - Microsoft MCSA: Web Applications (6 days) (1/6/2018 to 6/6/2018)

"I gained more knowledge and improved my technical skills!"
Maria Vig, Engie. - Microsoft Programming in HTML5 with JavaScript and CSS3 (3 days) (1/6/2018 to 3/6/2018)

"Good class - the instructor was great and I feel I have learned a lot from the way he taught."
Anonymous - Microsoft Programming in HTML5 with JavaScript and CSS3 (3 days) (1/6/2018 to 3/6/2018)

"A highly enjoyable and thorough course, taught in a manner that made the subject both interesting and understandable."
A.C.. - Microsoft Programming in HTML5 with JavaScript and CSS3 (3 days) (1/6/2018 to 3/6/2018)

"Really enjoyed the course and content from the instructor. Lots of little extras, which will help in the real world. Thanks!"
Edward Williams, Lucid Partnership. - Microsoft Programming in HTML5 with JavaScript and CSS3 (3 days) (1/6/2018 to 3/6/2018)

"Really enjoyed the course and content - lots of little extras which will help in the real world. "
Edward Williams, Lucid Partnership. - Microsoft Programming in HTML5 with JavaScript and CSS3 (3 days) (1/6/2018 to 3/6/2018)

"Although the days were long, I found that the training was very useful and I learned a lot. Overall a great experience and couldn't fault my experience here!"
Regan Walsh , GB Railfreight. - Microsoft MCSA: Windows 10 (6 days) (21/5/2018 to 26/5/2018)

"Ask for 007! If you know.. you know - Hes a fantastic trainer, thank you so much!"
Reece Isles. - Microsoft MTA Networking, Security & Windows Server Administration (6 days) (14/5/2018 to 19/5/2018)

"My personal experience at Firebrand has been good as I have learnt a lot about server, networking and security. "
K.H., VolkerWessels UK LTD. - Microsoft MTA Networking, Security & Windows Server Administration (6 days) (14/5/2018 to 19/5/2018)

"I had an enjoyable time considering the amount of content that was required to be learnt. Personally i found it frustrating that measure-up had not been updated to correspond with the exam, this was not the instructor's fault -he's a good trainer. "
Laurence chalk. - Microsoft MTA Networking, Security & Windows Server Administration (6 days) (14/5/2018 to 19/5/2018)

"My experience has been good, lot of learning and intense sessions to get you to know the fundamentals. "
Anonymous - Microsoft MTA Networking, Security & Windows Server Administration (6 days) (14/5/2018 to 19/5/2018)

"I think Firebrand goes the extra mile when providing students with learning exercises and the overall experience was a very pleasant and I would recommend it to my friends. "
N.F.. - Microsoft MTA Networking, Security & Windows Server Administration (6 days) (14/5/2018 to 19/5/2018)

"Found the course very useful to gain insight into the challenges developing solutions across multiple Dev teams both in the UK and off-shore. Using Dynamics 365 Online will allow ICAEW to deploy solutions across multiple platforms including mobile and tablet without needing to continue developing our dedicated iOS or Android aps. "
Tim Greaves, ICAEW. - Microsoft Dynamics 365 Customisation and Configuration (4 days) (14/5/2018 to 17/5/2018)

"Great experience and learned quite a bit. What I did already know was also reinforced."
Reuben Phillips , Transport for London. - Microsoft MTA Software Development Fundamentals (2 days) (10/5/2018 to 11/5/2018)

"Training - intense but we had a knowledgeable trainer and a lot of time for questions if required Accommodation - personally, I find excellent and the food is very welcome after a long day Staff - all staff are very helpful and on hand for any concerns/queries. Instructor - excellent and although the course was accelerated, he applied knowledge well and had a lot of time for candidates whether groups or face to face. "
Dod Frieslick, Firebrand Training. - Microsoft MTA Software Development Fundamentals (2 days) (10/5/2018 to 11/5/2018)

"I feel that although the learning was quick paced, there was sufficient time and materials or extra online resources given to self study in areas of knowledge that I needed more development in."
Venessa Cox, Firebrand. - Microsoft MTA Software Development Fundamentals (2 days) (10/5/2018 to 11/5/2018)

"Great learning experience. Definitely improves your chances of passing versus doing it alone. Really helps to have an industry expert for feedback and to solidify the concepts."
Matt Eisengruber, Dynatrace. - Microsoft Developing Microsoft Azure Solutions (4 days) (24/4/2018 to 27/4/2018)

"Had a Legend of an instructor, who made the whole thing interesting!"
Akmil Matloob , MySelf. - Microsoft MCSA: Cloud Platform & MCSE: Cloud Platform and Infrastructure (Azure) (10 days) (21/4/2018 to 30/4/2018)

"The instructor was great with questions and I feel completely prepared for the exam at twice the speed."
Gary Spencer, Na . - Microsoft Architecting Microsoft Azure Solutions (3 days) (28/4/2018 to 30/4/2018)

"Amazing instructor, very passionate and knows his field and more!"
David Baldry, Dynatrace. - Microsoft Architecting Microsoft Azure Solutions (3 days) (28/4/2018 to 30/4/2018)

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