Microsoft MCSA: Data Engineering with Azure - Only 5 Days

Why

Four reasons why you should sit your MCSA Data Engineering with Azure course with Firebrand Training

Find Out How We Help You To Learn New Skills Quickly

  1. You'll be MCSA Data Engineering with Azure trained and certified faster. Learn more on this 5-day accelerated course. You'll get at least 12 hours a day of quality learning time in a distraction-free environment
  2. Your MCSA Data Engineering with Azure course is all-inclusive. One simple price covers all course materials, exams, accommodation and meals – so you can focus on learning
  3. Pass MCSA Data Engineering with Azure 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 Data Engineering with Azure 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 5-day accelerated MCSA: Data Engineering with Azure course will develop the skills to design and implement big data engineering workflows with the Microsoft cloud ecosystem and Microsoft HD Insight to extract strategic value from your data.

Your expert Microsoft Certified Trainer (MCT) will immerse you in Microsoft Official Curriculum (MOC) at our distraction-free training centre, allowing you to focus 100% on learning. You'll experience Firebrand's Lecture | Lab | Review technique, combining hands-on practical labs, theory and review sessions to reinforce learning and develop skills and knowledge faster.

You'll cover a range of exciting topics including:

  • Deploying and securing multi-user HDInsight clusters
  • Implementing batch solutions with Hive and Apache Pig
  • Creating Spark streaming applications using DStream API
  • Developing big data real-time processing solutions with Apache Storm
  • Performing exploratory data analysis by using Spark SQL

You'll be prepared for exams 70-775: Perform Data Engineering on Microsoft HD Insight and 70-776: Engineering Data with Microsoft Cloud Services. You'll sit these on-site during the course, covered by your Certification Guarantee.

Your MCSA: Data Engineering with Azure certification will validate skills in implementing big data engineering workflows with Microsoft Cloud Services and Microsoft HDInsight. Ideal if you're a data engineer, data architect, data scientist or data developer. Earning this certifcation acts as your first step towards achieving the MCSE: Data Management and Analytics credential.

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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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20775A: Perform Data Engineering on Microsoft Azure HDInsight

Module 1: Getting Started with HDInsight

This module introduces Hadoop, the MapReduce paradigm, and HDInsight.

Lessons

  • What is Big Data?
  • Introduction to Hadoop
  • Working with MapReduce Function
  • Introducing HDInsight

Lab : Working with HDInsight

  • Provision an HDInsight cluster and run MapReduce jobs

After completing this module, students will be able to:

  • Describe Hadoop, MapReduce and HDInsight.
  • Use scripts to provision an HDInsight Cluster.
  • Run a word-counting MapReduce program using PowerShell.

Module 2: Deploying HDInsight Clusters

This module provides an overview of the Microsoft Azure HDInsight cluster types, in addition to the creation and maintenance of the HDInsight clusters. The module also demonstrates how to customise clusters by using script actions through the Azure Portal, Azure PowerShell, and the Azure command-line interface (CLI). This module includes labs that provide the steps to deploy and manage the clusters.

Lessons

  • Identifying HDInsight cluster types
  • Managing HDInsight clusters by using the Azure portal
  • Managing HDInsight Clusters by using Azure PowerShell

Lab : Managing HDInsight clusters with the Azure Portal

  • Create an HDInsight cluster that uses Data Lake Store storage
  • Customise HDInsight by using script actions
  • Delete an HDInsight cluster

After completing this module, students will be able to:

  • Identify HDInsight cluster types
  • Manage HDInsight clusters by using the Azure Portal.
  • Manage HDInsight clusters by using Azure PowerShell.

Module 3: Authorising Users to Access Resources

This module provides an overview of non-domain and domain-joined Microsoft HDInsight clusters, in addition to the creation and configuration of domain-joined HDInsight clusters. The module also demonstrates how to manage domain-joined clusters using the Ambari management UI and the Ranger Admin UI. This module includes the labs that will provide the steps to create and manage domain-joined clusters.

Lessons

  • Non-domain Joined clusters
  • Configuring domain-joined HDInsight clusters
  • Manage domain-joined HDInsight clusters

Lab : Authorising Users to Access Resources

  • Prepare the Lab Environment
  • Manage a non-domain joined cluster

After completing this module, students will be able to:

  • Identify the characteristics of non-domain and domain-joined HDInsight clusters.
  • Create and configure domain-joined HDInsight clusters through the Azure PowerShell.
  • Manage the domain-joined cluster using the Ambari management UI and the Ranger Admin UI.
  • Create Hive policies and manage user permissions.

Module 4: Loading data into HDInsight

This module provides an introduction to loading data into Microsoft Azure Blob storage and Microsoft Azure Data Lake storage. At the end of this lesson, you will know how to use multiple tools to transfer data to an HDInsight cluster. You will also learn how to load and transform data to decrease your query run time.

Lessons

  • Storing data for HDInsight processing
  • Using data loading tools
  • Maximising value from stored data

Lab : Loading Data into your Azure account

  • Load data for use with HDInsight

After completing this module, students will be able to:

  • Discuss the architecture of key HDInsight storage solutions.
  • Use tools to upload data to HDInsight clusters.
  • Compress and serialize uploaded data for decreased processing time.

Module 5: Troubleshooting HDInsight

In this module, you will learn how to interpret logs associated with the various services of Microsoft Azure HDInsight cluster to troubleshoot any issues you might have with these services. You will also learn about Operations Management Suite (OMS) and its capabilities.

Lessons

  • Analyse HDInsight logs
  • YARN logs
  • Heap dumps
  • Operations management suite

Lab : Troubleshooting HDInsight

  • Analyse HDInsight logs
  • Analyse YARN logs
  • Monitor resources with Operations Management Suite

After completing this module, students will be able to:

  • Locate and analyse HDInsight logs.
  • Use YARN logs for application troubleshooting.
  • Understand and enable heap dumps.
  • Describe how the OMS can be used with Azure resources.

Module 6: Implementing Batch Solutions

In this module, you will look at implementing batch solutions in Microsoft Azure HDInsight by using Hive and Pig. You will also discuss the approaches for data pipeline operationalisation that are available for big data workloads on an HDInsight stack.

Lessons

  • Apache Hive storage
  • HDInsight data queries using Hive and Pig
  • Operationalise HDInsight

Lab : Implement Batch Solutions

  • Deploy HDInsight cluster and data storage
  • Use data transfers with HDInsight clusters
  • Query HDInsight cluster data

After completing this module, students will be able to:

  • Understand Apache Hive and the scenarios where it can be used.
  • Run batch jobs using Apache Hive and Apache Pig.
  • Explain the capabilities of the Microsoft Azure Data Factory and Apache Oozie and how they can orchestrate and automate big data workflows.

Module 7: Design Batch ETL solutions for big data with Spark

This module provides an overview of Apache Spark, describing its main characteristics and key features. Before you start, it's helpful to understand the basic architecture of Apache Spark and the different components that are available. The module also explains how to design batch Extract, Transform, Load (ETL) solutions for big data with Spark on HDInsight. The final lesson includes some guidelines to improve Spark performance.

Lessons

  • What is Spark?
  • ETL with Spark
  • Spark performance

Lab : Design Batch ETL solutions for big data with Spark.

  • Create a HDInsight Cluster with access to Data Lake Store
  • Use HDInsight Spark cluster to analyse data in Data Lake Store
  • Analysing website logs using a custom library with Apache Spark cluster on HDInsight
  • Managing resources for Apache Spark cluster on Azure HDInsight

After completing this module, students will be able to:

  • Describe the architecture of Spark on HDInsight.
  • Describe the different components required for a Spark application on HDInsight.
  • Identify the benefits of using Spark for ETL processes.
  • Create Python and Scala code in a Spark program to ingest or process data.
  • Identify cluster settings for optimal performance.
  • Track and debug jobs running on an Apache Spark cluster in HDInsight.

Module 8: Analyse Data with Spark SQL

This module describes how to analyse data by using Spark SQL. In it, you will be able to explain the differences between RDD, Datasets and Dataframes, identify the uses cases between Iterative and Interactive queries, and describe best practices for Caching, Partitioning and Persistence. You will also look at how to use Apache Zeppelin and Jupyter notebooks, carry out exploratory data analysis, then submit Spark jobs remotely to a Spark cluster.

Lessons

  • Implementing iterative and interactive queries
  • Perform exploratory data analysis

Lab : Performing exploratory data analysis by using iterative and interactive queries

  • Build a machine learning application
  • Use zeppelin for interactive data analysis
  • View and manage Spark sessions by using Livy

After completing this module, students will be able to:

  • Implement interactive queries.
  • Perform exploratory data analysis.

Module 9: Analyse Data with Hive and Phoenix

In this module, you will learn about running interactive queries using Interactive Hive (also known as Hive LLAP or Live Long and Process) and Apache Phoenix. You will also learn about the various aspects of running interactive queries using Apache Phoenix with HBase as the underlying query engine.

Lessons

  • Implement interactive queries for big data with interactive hive.
  • Perform exploratory data analysis by using Hive
  • Perform interactive processing by using Apache Phoenix

Lab : Analyse data with Hive and Phoenix

  • Implement interactive queries for big data with interactive Hive
  • Perform exploratory data analysis by using Hive
  • Perform interactive processing by using Apache Phoenix

After completing this module, students will be able to:

  • Implement interactive queries with interactive Hive.
  • Perform exploratory data analysis using Hive.
  • Perform interactive processing by using Apache Phoenix.

Module 10: Stream Analytics

The Microsoft Azure Stream Analytics service has some built-in features and capabilities that make it as easy to use as a flexible stream processing service in the cloud. You will see that there are a number of advantages to using Stream Analytics for your streaming solutions, which you will discuss in more detail. You will also compare features of Stream Analytics to other services available within the Microsoft Azure HDInsight stack, such as Apache Storm. You will learn how to deploy a Stream Analytics job, connect it to the Microsoft Azure Event Hub to ingest real-time data, and execute a Stream Analytics query to gain low-latency insights. After that, you will learn how Stream Analytics jobs can be monitored when deployed and used in production settings.

Lessons

  • Stream analytics
  • Process streaming data from stream analytics
  • Managing stream analytics jobs

Lab : Implement Stream Analytics

  • Process streaming data with stream analytics
  • Managing stream analytics jobs

After completing this module, students will be able to:

  • Describe stream analytics and its capabilities.
  • Process streaming data with stream analytics.
  • Manage stream analytics jobs.

Module 11: Implementing Streaming Solutions with Kafka and HBase

In this module, you will learn how to use Kafka to build streaming solutions. You will also see how to use Kafka to persist data to HDFS by using Apache HBase, and then query this data.

Lessons

  • Building and Deploying a Kafka Cluster
  • Publishing, Consuming, and Processing data using the Kafka Cluster
  • Using HBase to store and Query Data

Lab : Implementing Streaming Solutions with Kafka and HBase

  • Create a virtual network and gateway
  • Create a storm cluster for Kafka
  • Create a Kafka producer
  • Create a streaming processor client topology
  • Create a Power BI dashboard and streaming dataset
  • Create an HBase cluster
  • Create a streaming processor to write to HBase

After completing this module, students will be able to:

  • Build and deploy a Kafka Cluster.
  • Publish data to a Kafka Cluster, consume data from a Kafka Cluster, and perform stream processing using the Kafka Cluster.
  • Save streamed data to HBase, and perform queries using the HBase API.

Module 12: Develop big data real-time processing solutions with Apache Storm

This module explains how to develop big data real-time processing solutions with Apache Storm.

Lessons

  • Persist long term data
  • Stream data with Storm
  • Create Storm topologies
  • Configure Apache Storm

Lab : Developing big data real-time processing solutions with Apache Storm

  • Stream data with Storm
  • Create Storm Topologies

After completing this module, students will be able to:

  • Persist long term data.
  • Stream data with Storm.
  • Create Storm topologies.
  • Configure Apache Storm.

Module 13: Create Spark Streaming Applications

This module describes Spark Streaming; explains how to use discretised streams (DStreams); and explains how to apply the concepts to develop Spark Streaming applications.

Lessons

  • Working with Spark Streaming
  • Creating Spark Structured Streaming Applications
  • Persistence and Visualisation

Lab : Building a Spark Streaming Application

  • Installing Required Software
  • Building the Azure Infrastructure
  • Building a Spark Streaming Pipeline

After completing this module, students will be able to:

  • Describe Spark Streaming and how it works.
  • Use discretised streams (DStreams).
  • Work with sliding window operations.
  • Apply the concepts to develop Spark Streaming applications.
  • Describe Structured Streaming.

20776A: Performing Big Data Engineering on Microsoft Cloud Services

Module 1: Architectures for Big Data Engineering with Azure

This module describes common architectures for processing big data using Azure tools and services.

Lessons

  • Understanding Big Data
  • Architectures for Processing Big Data
  • Considerations for designing Big Data solutions

Lab : Designing a Big Data Architecture

  • Design a big data architecture

After completing this module, students will be able to:

  • Explain the concept of Big Data.
  • Describe the Lambda and Kappa architectures.
  • Describe design considerations for building Big Data Solutions with Azure.

Module 2: Processing Event Streams using Azure Stream Analytics

This module describes how to use Azure Stream Analytics to design and implement stream processing over large-scale data.

Lessons

  • Introduction to Azure Stream Analytics
  • Configuring Azure Stream Analytics jobs

Lab : Processing Event Streams with Azure Stream Analytics

  • Create an Azure Stream Analytics job
  • Create another Azure Stream job
  • Add an Input
  • Edit the ASA job
  • Determine the nearest Patrol Car

After completing this module, students will be able to:

  • Describe the purpose and structure of Azure Stream Analytics.
  • Configure Azure Stream Analytics jobs for scalability, reliability and security.

Module 3: Performing custom processing in Azure Stream AnalyticsThis module describes how to include custom functions and incorporate machine learning activities into an Azure Stream Analytics job.

Lessons

  • Implementing Custom Functions
  • Incorporating Machine Learning into an Azure Stream Analytics Job

Lab : Performing Custom Processing with Azure Stream Analytics

  • Add logic to the analytics
  • Detect consistent anomalies
  • Determine consistencies using machine learning and ASA

After completing this module, students will be able to:

  • Describe how to create and use custom functions in Azure Stream Analytics.
  • Describe how to use Azure Machine Learning models in an Azure Stream Analytics job.

Module 4: Managing Big Data in Azure Data Lake Store

This module describes how to use Azure Data Lake Store as a large-scale repository of data files.

Lessons

  • Using Azure Data Lake Store
  • Monitoring and protecting data in Azure Data Lake Store

Lab : Managing Big Data in Azure Data Lake Store

  • Update the ASA Job
  • Upload details to ADLS

After completing this module, students will be able to:

  • Describe how to create an Azure Data Lake Store, create folders, and upload data.
  • Explain how to monitor an Azure Data Lake account, and protect the data that it contains.

Module 5: Processing Big Data using Azure Data Lake Analytics

This module describes how to use Azure Data Lake Analytics to examine and process data held in Azure Data Lake Store.

Lessons

  • Introduction to Azure Data Lake Analytics
  • Analysing Data with U-SQL
  • Sorting, grouping, and joining data

Lab : Processing Big Data using Azure Data Lake Analytics

  • Add functionality
  • Query against Database
  • Calculate average speed

After completing this module, students will be able to:

  • Describe the purpose of Azure Data Lake Analytics, and how to create and run jobs.
  • Describe how to use USQL to process and analyse data.
  • Describe how to use windowing to sort data and perform aggregated operations, and how to join data from multiple sources.

Module 6: Implementing custom operations and monitoring performance in Azure Data Lake Analytics

This module describes how to create and deploy custom functions and operations, integrate with Python and R, and protect and optimise jobs.

Lessons

  • Incorporating custom functionality into Analytics jobs
  • Managing and Optimising jobs

Lab : Implementing custom operations and monitoring performance in Azure Data Lake Analytics

  • Custom extractor
  • Custom processor
  • Integration with R/Python
  • Monitor and optimise a job

After completing this module, students will be able to:

  • Describe how to incorporate custom features and assemblies into USQL.
  • Describe how to implement security to protect jobs, and how to monitor and optimise jobs to ensure efficient operations.

Module 7: Implementing Azure SQL Data Warehouse

This module describes how to use Azure SQL Data Warehouse to create a repository that can support large-scale analytical processing over data at rest.

Lessons

  • Introduction to Azure SQL Data Warehouse
  • Designing tables for efficient queries
  • Importing Data into Azure SQL Data Warehouse

Lab : Implementing Azure SQL Data Warehouse

  • Create a new data warehouse
  • Design and create tables and indexes
  • Import data into the warehouse.

After completing this module, students will be able to:

  • Describe the purpose and structure of Azure SQL Data Warehouse.
  • Describe how to design table to optimise the processing performed by the data warehouse.
  • Describe tools and techniques for importing data into a warehouse at scale.

Module 8: Performing Analytics with Azure SQL Data Warehouse

This module describes how to import data in Azure SQL Data Warehouse, and how to protect this data.

Lessons

  • Querying Data in Azure SQL Data Warehouse
  • Maintaining Performance
  • Protecting Data in Azure SQL Data Warehouse

Lab : Performing Analytics with Azure SQL Data Warehouse

  • Performing queries and tuning performance
  • Integrating with Power BI and Azure Machine Learning
  • Configuring security and analysing threats

After completing this module, students will be able to:

  • Describe how to perform queries and use the data held in a data warehouse to perform analytics and generate reports.
  • Describe how to configure and monitor a data warehouse to maintain good performance.
  • Describe how to protect data and manage security in a data warehouse.

Module 9: Automating the Data Flow with Azure Data Factory

This module describes how to use Azure Data Factory to import, transform, and transfer data between repositories and services.

Lessons

  • Introduction to Azure Data Factory
  • Transferring Data
  • Transforming Data
  • Monitoring Performance and Protecting Data

Lab : Automating the Data Flow with Azure Data Factory

  • Automate the Data Flow with Azure Data Factory

After completing this module, students will be able to:

  • Describe the purpose of Azure Data Factory, and explain how it works.
  • Describe how to create Azure Data Factory pipelines that can transfer data efficiently.
  • Describe how to perform transformations using an Azure Data Factory pipeline.
  • Describe how to monitor Azure Data Factory pipelines, and how to protect the data flowing through these pipelines.

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You'll sit the following exams at the Firebrand training centre during the course, covered by your Certification Guarantee:

70-775: Perform Data Engineering on Microsoft HD Insight

Skills measured:

  • Administer and Provision HDInsight Clusters
  • Implement Big Data Batch Processing Solutions
  • Implement Big Data Interactive Processing Solutions
  • Implement Big Data Real-Time Processing Solutions

70-776: Engineering Data with Microsoft Cloud Services - currently in beta

Skills measured:

  • Design and Implement Complex Event Processing By Using Azure Stream Analytics (15-20%)
  • Design and Implement Analytics by Using Azure Data Lake (25-30%)
  • Design and Implement Azure SQL Data Warehouse Solutions (15-20%)
  • Design and Implement Cloud-Based Integration by using Azure Data Factory (15-20%)
  • Manage and Maintain Azure SQL Data Warehouse, Azure Data Lake, Azure Data Factory, and Azure Stream Analytics (20-25%)

This exam is currently in beta. If you pass it, you will receive full credit toward applicable certifications, but you will not receive a score report or pass/fail notification until 8-12 weeks following the conclusion of the beta period.

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Microsoft Official Curriculum

  • MOC 20775A: Perform Data Engineering on Microsoft HD Insight
  • MOC 20776A: Engineering Data with Microsoft Cloud Services

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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Before attending this course, you must meet the following prerequisite knowledge and skills of:

  • Azure data services
  • Microsoft Windows operating system and its core functionality
  • Relational databases
  • Programming using R, and familiarity with common R packages
  • Common statistical methods and data analysis best practices.

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

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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.


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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)

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

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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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