Microsoft MCSA: Machine Learning - Only 6 Days

Why

Four 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 trained and certified faster. Learn more on this 6-day accelerated course. You'll get at least 12 hours a day of quality learning time in a distraction-free environment
  2. Your MCSA Machine Learning course is all-inclusive. One simple price covers all course materials, exams, accommodation and meals – so you can focus on learning
  3. Pass MCSA Machine Learning first time or train again for free. Your expert instructor will deliver our unique accelerated learning methods, allowing you to learn faster and be in the best possible position to pass first time. In the unlikely event that you don't, it's covered by your Certification Guarantee
  4. Study MCSA Machine Learning with an award-winning training provider. We've won the Learning and Performance Institute's "Training Company of the Year" three times. Firebrand is your fastest way to learn, with 67.286 students saving more than one million hours since 2001

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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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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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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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 0720-880599.

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 and CISSP CBK Review
  • *** On site testing is not included for our PMI, GIAC, (ISC)2, 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 0720-880599 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 0720-880599

When

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19.2.2018 (Monday)

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29.10.2018 (Monday)

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10.12.2018 (Monday)

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Reviews

Here's the Firebrand Training review section. Since 2001 we've trained exactly 67.286 students and asked them all to review our Accelerated Learning. Currently, 96.67% 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.


"Firebrand is a great bootcamp, where you can learn a lot and get very useful certifications. "
Adela Toma, Bearing Point. - Microsoft MCSE: Business Intelligence (SQL Server) (6 days) (19.3.2018 to 24.3.2018)

"Perfect training!"
P. E.. - Microsoft Upgrading your skills to MCSA Windows Server 2016 (3 days) (4.12.2017 to 6.12.2017)

"A high tempo and lots to learn from a great instructor. Thanks for helping me pass the exam in a quick tempo."
Seth Lindholm, Advitum AB (SWEDEN). - Microsoft MCSA: Office 365 (5 days) (21.11.2016 to 25.11.2016)

"The trainer is an excellent instructor who manages to clearly elucidate even the more arcane aspects of Windows Powershell and the infrastructure required for the higher level concepts of the subject matter, e.g. federation services and active directory synchronization. His enthusiasm as an instructor and his humor helped to make the long and intense days go by more quickly. I would definitely work with him again."
Oliver Whisonant, GECO Deutschland GmbH. - Microsoft MCSA: Office 365 (5 days) (21.11.2016 to 25.11.2016)

"It was really great experience."
Saurabh Jain, Cognizant. - Microsoft MCSA: Office 365 (5 days) (21.11.2016 to 25.11.2016)

"Good!"
Anand Bhopale. - Microsoft MCSA: Office 365 (5 days) (21.11.2016 to 25.11.2016)

"GOOD!"
Amit Tripathi, Software Architect . - Microsoft MCSA: Office 365 (5 days) (21.11.2016 to 25.11.2016)

"Very good."
Parikshit Kulkarni. - Microsoft MCSA: Office 365 (5 days) (21.11.2016 to 25.11.2016)

"Firebrand Training is very good training, it has good instructor, also good planning, materials and location."
Anonymous - Microsoft MCSA: Windows Server 2012 R2 (9 days) (26.5.2014 to 2.6.2014)

"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)

"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 Specialist: 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 facilities to study, a lot easier to concentrate with food, bed and drinks right around the corner."
Peter Van Ginkel, VWPFS. - Microsoft MCSA: Windows Server 2016 (11 days) (19.4.2018 to 29.4.2018)

"Totally brutal but completely do-able."
Dominic Hogg, Brightsolid. - Microsoft MCSA: Windows Server 2016 (11 days) (19.4.2018 to 29.4.2018)

"I attended the MCSA Server 2016 course with the view of taking the exams to gain the qualification, which would be my second MCSA at Firebrand. I feel I have the resources and knowledge to attain this soon, thanks to the course."
Mason Goddard, Redriff Primary. - Microsoft MCSA: Windows Server 2016 (11 days) (19.4.2018 to 29.4.2018)

"The course was very well presented. The instructor took the class at the speed of the class instead of trying to rush through everything. He was always willing to stay late and offer support on any areas required. Great course and great tutor."
Rhys Jupp, Hilton Foods UK. - Microsoft MCSA: Windows 10 (6 days) (9.4.2018 to 14.4.2018)

"Training was a nice mix of theory and practical in the form of labs, instructor humorous but very knowledgeable making the experience more enjoyable with plenty of resources available. "
S.C.. - Microsoft Windows 10 (6 days) (9.4.2018 to 14.4.2018)

"The instructor goes over and beyond with with his students whatever there skill set is. Enthusiastic, knowledgeable and passionate. His energy has rubbed off on me and makes me want to continue studying."
N.B., NDBIT. - Microsoft MCSA: Office 365 (5 days) (9.4.2018 to 13.4.2018)

"Firebrand provides fast track IT education paired with high skilled teachers with real life experience in the areas they teach. This gives another dimension to the courses substance and validity. Highly recommended if you are looking at expanding your knowledge and career possibilities."
Anton Viberg, Enzure AB. - Microsoft MCSA: Office 365 (5 days) (9.4.2018 to 13.4.2018)

"It is definitely intense and quite hard but its worth it. "
Mohammed Saeed, Joseph Chamberlain College birmingham. - Microsoft MTA Networking, Security & Windows Server Administration (6 days) (9.4.2018 to 14.4.2018)

"Clear and concise, with practical lab examples."
M.W., TfL. - Microsoft MTA: Windows Server Administration Fundamentals (2 days) (9.4.2018 to 10.4.2018)

"My experience at the Firebrand Training Centre has been comfortable. The environment is peaceful which aids concentration and thinking. Food is good with a variety and range that also meets my dietary requirements. "
P.A., Firebrand. - Microsoft Programming in C# (4 days) (3.4.2018 to 6.4.2018)

"I think the instructor has done really well to deliver a course which is technically demanding. He has a good way of breaking complex theory down to simple terms. "
Anonymous - Microsoft Programming in C# (4 days) (3.4.2018 to 6.4.2018)

"- Trainer was excellent, very knowledgeable and good at explaining concepts, very helpful when it came to clarifying things. - While the days were long, the frequent breaks ensured concentration could be maintained (infinite coffee also helped with this!) - Accommodation was excellent - Food and drink were excellent! Excellent variety of food on offer, and different food every day. - Wide range of facilities at Wyboston Lakes, and the lake is great for a walk after a long training session."
Anonymous - Microsoft MTA Software Development Fundamentals (2 days) (26.3.2018 to 27.3.2018)

"Great course, very informative. We had a great instructor who has had practical experience. Lots of time spent with face-to-face instruction. Hands on material that we were able to work with as well. Really enjoyed my time here and will recommend to other colleagues as well. As an added bonus the food was great too!"
C.H.. - Microsoft MTA Software Development Fundamentals (2 days) (26.3.2018 to 27.3.2018)

"I love the bootcamp format (tried other training provider that only deliver 9:00 am to by 5:00 pm just wont work)!"
Melody Lam. - Microsoft MCSA: SQL Server 2016 - Business Intelligence Development (5 days) (12.3.2018 to 16.3.2018)

"Excellent speedy and professional learning environment. Knowledge on subject matter for the course superb by instructor."
Fredrik Olander, Max Matthiessen. - Microsoft MCSA: SQL Server 2016 - Business Intelligence Development (5 days) (12.3.2018 to 16.3.2018)

"Having never had any working experience on any SQL Server product, I enrolled on this course. The accelerated nature and the efficient way the course was presented helped me absorb the concepts. I am over the moon to have passed my very first Microsoft exam at Firebrand!"
Gordon Hepburn , Kerry. - Microsoft MCSA: SQL Server 2016 - Business Intelligence Development (5 days) (12.3.2018 to 16.3.2018)

"Highly focused training with experienced teacher and great documentation. "
Alfredo Hidalgo Iglesias, BYG. - Microsoft MCSA: SQL Server 2016 - Business Intelligence Development (5 days) (12.3.2018 to 16.3.2018)

"My first experience of Firebrand, training was fantastic, instruction as just the right combination of talking, demonstrating and practical work. Definitely recommend."
Tom Odell, BUUK Infrastructure. - Microsoft Programming in HTML5 with JavaScript and CSS3 (3 days) (10.3.2018 to 12.3.2018)

"Excellent venue, resources and friendly staff. Thank you! Excellent venue, that is accessible and very close to perfect accommodation."
Christopher Harvey, Grafton Merchenties GB. - Microsoft MCSA: SQL Server 2016 - Database Administration (6 days) (5.3.2018 to 10.3.2018)

"Great way to learn x2 faster in a complete learning bubble A* I choose Firebrand to give me accelerated learning, certification and real world experience through the excellent trainers. Thank you Firebrand."
Roy Casana, Designated . - Microsoft MCSA: SQL Server 2016 - Database Administration (6 days) (5.3.2018 to 10.3.2018)

"Excellent facilities, and a world class trainer who went out of his way to delivery the course and more. I would consider doing another Firebrand course."
Tim Harborne, Carillionarmey. - Microsoft MCSA: SQL Server 2016 - Database Administration (6 days) (5.3.2018 to 10.3.2018)

"The trainer was excellent, as he was very informative, friendly and patient. I do wish that there was more time for the course, because I found it difficult to process such a vast amount of information, in such a short space of time."
Anonymous - Microsoft MTA Database Fundamentals (2 days) (8.3.2018 to 9.3.2018)

"The instructor was a very interactive and enjoyable tutor. His vast knowledge was clear and he explained everything in great detail."
J.H., Lloyds Banking Group. - Microsoft MTA Database Fundamentals (2 days) (8.3.2018 to 9.3.2018)

"At the beginning of the course, I had very little knowledge but feel as though I have learn a lot in a short space of time."
Anonymous - Microsoft MTA Database Fundamentals (2 days) (8.3.2018 to 9.3.2018)

"Great teacher"
A.N., Lloyds banking group . - Microsoft MTA Database Fundamentals (2 days) (8.3.2018 to 9.3.2018)

"At the beginning of the course, I had very little knowledge but feel as though I have learnt a lot in a short space of time."
Anonymous - Microsoft MTA Database Fundamentals (2 days) (8.3.2018 to 9.3.2018)

"Great course and tutor who was very enthusiastic and helpful."
Anonymous - Microsoft MTA Database Fundamentals (2 days) (8.3.2018 to 9.3.2018)

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