Microsoft MCSA: Machine Learning - Only 6 Days

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

Find Out How We Help You To Learn New Skills Quickly

  1. You'll be MCSA Machine Learning certified in just 6 days. With us, you’ll be MCSA Machine Learning trained in record time
  2. Our MCSA Machine Learning course is all-inclusive. A one-off fee covers all course materials, exams, accommodation and meals. No hidden extras
  3. Pass MCSA Machine Learning first time or train again for free. This is our guarantee. We’re confident you’ll pass your course first time. But if not, come back within a year and only pay for accommodation, exams and incidental costs
  4. You’ll learn more MCSA Machine Learning. A day with a traditional training provider generally runs from 9am – 5pm, with a nice long break for lunch. With Firebrand Training you’ll get at least 12 hours/day quality learning time, with your instructor
  5. You’ll learn MCSA Machine Learning faster. Chances are, you’ll have a different learning style to those around you. We combine visual, auditory and tactile styles to deliver the material in a way that ensures you will learn faster and more easily
  6. You’ll be studying MCSA Machine Learning with the best. We’ve been named in Training Industry’s “Top 20 IT Training Companies of the Year” every year since 2010. As well as winning many more awards, we’ve trained and certified 63,861 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!

When do you want to sit your accelerated course?

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20/2/2017 (Monday)

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7/8/2017 (Monday)

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Here's the Firebrand Training review section. Since 2001 we've trained exactly 63,861 students and asked them all to review our Accelerated Learning. Currently, 96.51% have said Firebrand exceeded their expectations:



"Have been to Firebrand several times and the training is of a high standard. Great way to get qualified in a short time."
Richard Smith, Redcare (5G Communications). - Microsoft MCSA: Windows Server 2012 R2 (9 days) (13/5/2017 to 21/5/2017)

"If you are prepared to attend an intense training course, Firebrand is for you. After 3 days of training, I gained a huge amount of knowledge. Just be ready to learn! And take your skills to the next level."
Mark Cunningham, Capgemini. - Microsoft Specialist: Dynamics CRM 2016 Customisation and Configuration (4 days) (16/5/2017 to 19/5/2017)

"Firebrand provides great training with brilliant instructors. The course was enjoyable and the resources I had access to were fantastic"
Azimuth Jenkins, Capgemini. - Microsoft Specialist: Dynamics CRM 2016 Customisation and Configuration (4 days) (16/5/2017 to 19/5/2017)

"Very professional, interesting, comprehensive training! "
Michal Jarosinski, UTILITA.ENERGY. - Microsoft MTA Networking, Security & Windows Server Administration (6 days) (8/5/2017 to 13/5/2017)

"Highly engaging trainer! Found the MCSA Server 2012 course to be intense but it was helped along the way with the unique and fun way that the trainer took with his approach to it. Hes very, very knowledgeable in the subject which is helped with live notes to take a way (a first for me!) and provided time to carry out labs to test out what is learnt in theory."
The Vinh Hoang, Agent Provocateur Ltd. - Microsoft MCSA: Windows Server 2012 R2 (9 days) (1/4/2017 to 9/4/2017)

"Really impressed with the training and the on-site facilities. Its been a great experience. "
Matt Hill, Coeo Ltd. - Microsoft Azure Academy: Data Lake & Data Factory (2 days) (30/3/2017 to 31/3/2017)

"Good experience at the course. Great introduction and working experience with Data Lakes and Data Factory. The instructor was very patient and clear."
Terry Choo, eBECS. - Microsoft Azure Academy: Data Lake & Data Factory (2 days) (30/3/2017 to 31/3/2017)

"The training is very intensive, but everything is taken care of and thought about. The instructor was immensely knowledgeable and had huge amounts of experience. The facility is excellent too."
Matt Bridgeworth, Softcat plc. - Microsoft Specialist: Architecting Microsoft Azure Solutions (2 days) (29/3/2017 to 30/3/2017)

"Firebrand delivers a complete studying experience that is geared towards results. Tutors and support staff are excellent with incredible knowledge and outstanding customer service. The immersive format is absolutely critical to the success of the training approach and delivers results time after time. If you want your organisation and your staff to develop and succeed then Firebrand is the training partner that you need. Completely committed to delivering the results that you deserve. Love it........"
Paul OSullivan, CSC. - Microsoft MCSE: Cloud Platform and Infrastructure (Azure) (9 days) (13/3/2017 to 21/3/2017)

"Very useful, very intense, Plenty of information to take in but it was all useful and will be practical for when i take it back to work. Only positives to say really."
Aman Kumar, DMS. - Microsoft MTA Database Fundamentals (2 days) (20/3/2017 to 21/3/2017)

"Very hard work, but it gets you through the course. My brain is so full!"
Chris Fitz-Avon. - Microsoft Developing ASP.NET MVC Web 4 Applications (3 days) (14/3/2017 to 16/3/2017)

"I would recommend Firebrand to anyone who wants to get qualified quickly in a fast learning environment. The days are tough but rewarding as well."
Nick Margerum, React CP. - Microsoft Specialist: Implementing Microsoft Azure Infrastructure Solutions (3 days) (13/3/2017 to 15/3/2017)

"Excellent training. For anyone planning to take certification it's helpful and intensive. This training helped me understand the new features of the software and how to use those for performance improvement of our data model."
Brinda Jana, British Red Cross. - Microsoft MCSA: SQL Server 2016 - Business Intelligence Development (5 days) (6/3/2017 to 10/3/2017)

"Great delivery and having the freedom to learn key areas critical to my job made this course fantastic. The fact that I had a VM remotely accessible from my hotel room was a big help, allowing me to mess around with settings. "
Paul Robertshaw. - Microsoft MCSA: Windows Server 2012 R2 & MCSE: Server Infrastructure (15 days) (25/2/2017 to 11/3/2017)

"A very informative course, ideal for any server administrator. Covered many areas that my personal studying and experience hadnt reached."
PhIllip Edwards, Telis LTD. - Microsoft MCSA: Windows Server 2012 R2 (9 days) (25/2/2017 to 5/3/2017)

"I love coming to do my training down at Firebrand, this is the 5th time I have been down here and I have always gained lots of experience from the courses. "
N.M. - Microsoft MCSA: Windows Server 2012 R2 (9 days) (25/2/2017 to 5/3/2017)

"Having little knowledge before attendance im leaving with much more confidence and understanding."
P.R. - Microsoft MCSA: Windows Server 2012 R2 (9 days) (25/2/2017 to 5/3/2017)

"Every one of the instructors Ive had on courses here has been amazing in there own way. They are all experts in the field when it comes to the knowledge required to pass these courses."
Jai Hayes. - Microsoft MCSA: Windows Server 2012 R2 (9 days) (25/2/2017 to 5/3/2017)

"Firebrand Training goes into depth on the all the training courses they do, they provide all the information required for exam and do it in such a way that is easy to understand. All the instructors are friendly and always willing to help."
Adam Sells, Hospice in the Weald. - Microsoft MCSA: Windows Server 2012 R2 (9 days) (25/2/2017 to 5/3/2017)

"Excellent learning ennvironment dedicated to your specific requirements. Great professional networking as well."
K.P. - Microsoft MCSA: Windows 10 (6 days) (20/2/2017 to 25/2/2017)

"Super fast paced course in which I learnt so much!"
Claire Farina. - Microsoft MTA HTML5 App Development Fundamentals (2 days) (22/2/2017 to 23/2/2017)

"I love coming down to firebrand for my training, its really intense but very rewarding. Staff and trainers are so professional and knowledgeable "
Simon Leyland, Prodo Digitalhtml. - Microsoft MTA HTML5 App Development Fundamentals (2 days) (22/2/2017 to 23/2/2017)

"Training was extremely engaging and i am happy to say i have walked away with a lot of knowledge and NOTES! The tutor used multiple training styles so it gave everyone in the classroom the opportunity to work with their learning style. Overall a good course taught by a very good tutor. "
Daniel Whitley. - Microsoft MTA HTML5 App Development Fundamentals (2 days) (22/2/2017 to 23/2/2017)

"Intensive but enjoyable course. First step on the ladder towards MCSD."
Jason Hinsley, IM Tec Solutions. - Microsoft MTA Software Development Fundamentals (2 days) (20/2/2017 to 21/2/2017)

"I loved it! I did a 2-day course was very fast-paced and intense, the instructor was very personable, enthusiastic, extremely knowledgeable and an all-round fun guy to talk to. I learned way more than I thought I could within 2 days. The whole experience was very enjoyable and I would highly recommend it. Im already looking forward to my next course. "
Ashleigh Bair. - Microsoft MTA Software Development Fundamentals (2 days) (20/2/2017 to 21/2/2017)

"Firebrand provide an ideal training that shortens the length of the time that the training takes whilst providing all the required content. The course was delivered with a smile and a laugh. "
Tim Headicar. - Microsoft MCSA: Windows Server 2016 (11 days) (11/2/2017 to 21/2/2017)

"I have had a great 11 days on this course, i have learnt all i need to pass the exams, the instructor was great and very knowledgeable. I will be looking to come back and further my qualifications here again."
T.S. - Microsoft MCSA: Windows Server 2016 (11 days) (11/2/2017 to 21/2/2017)

"I have been to Firebrand 9 times now and looking forward to coming back again! Having all resources that I could possibly need within 1 facility means that the time here can be dedicated solely to training and get the best accelerated experience. "
R.M, Gamma. - Microsoft MCSA: Windows Server 2016 (11 days) (11/2/2017 to 21/2/2017)

"My experience at Firebrand was amazing. The instructors level of knowledge was beyond my expectations and the facilities were excellent"
John Cutt. - Microsoft MCSE: SharePoint 2016 (6 days) (6/2/2017 to 11/2/2017)

"The training I received at whilst training with Firebrand was excellent. 11 Days on the course was hard work and demanded a lot of will power. I put in the time and effort and it paid off for me. Thank you to all involved. See you next time."
M.C. - Microsoft Dynamics CRM 2016 (11 days) (29/1/2017 to 8/2/2017)

"I found the courses, trainers and accommodation very good. I learnt a lot and felt very comfortable. I think accelerated learning is a good way to learn and firebrand delivers this very well."
Joanne Nash, Fujitsu Services. - Microsoft Dynamics CRM 2016 (11 days) (29/1/2017 to 8/2/2017)

"It was intense but provides the focus necessary to achieve so much in such a short time. The environment prevents distraction, the course material was detailed and the instructor very knowledgeable and helpful."
Tunde Tayo. - Microsoft Dynamics CRM 2016 Cloud (7 days) (2/2/2017 to 8/2/2017)

"My experience has been great, thoroughly enjoyed my training and the people. Trainer was first class! Very interactive, learnt a great deal and it can go into practice. It will make me better at my job and has made me a lot more confident in my work."
Timothy Farmer, Utilita Ltd. - Microsoft MTA Networking, Security & Windows Server Administration (6 days) (30/1/2017 to 4/2/2017)

"Intensive but complete training. You can tell the instructor is a leader in their field. "
B.H, Natures Way Foods Ltd. - Microsoft Dynamics AX 2012 Development - Advanced (4 days) (23/1/2017 to 26/1/2017)

"Fast paced course with excellent material. Facilities conducive to learning experience. Highly recommended."
S.S, Sogeti Suiss. - Microsoft MCSA: Office 365 (5 days) (9/1/2017 to 13/1/2017)

"Tutor was friendly, helpful and knowledgeable, hotel rooms and food were lovely. "
Kieron Larcombe, North Norfolk District Council. - Microsoft MTA Software Development Fundamentals (2 days) (19/12/2016 to 20/12/2016)

"My experience with firebrand has been very good. I have learned a lot regarding the course in such a short amount of time thanks to accelerated learning provided and the skill of the instructors."
C.G. - Microsoft MTA HTML5 App Development Fundamentals (2 days) (19/12/2016 to 20/12/2016)

"If you want to learn a lot of useful job-related information this course provides it. But be aware you need to be able to work long days and dedicate time to each part of the course."
Anonymous - Microsoft MCSA: SQL Server (9 days) (5/12/2016 to 13/12/2016)

"The combination of the luxury training location and set up, plus the 5 star training itself and overall personal support makes FIREBRAND the top choice of IT training for me, I will be back!"
Gareth Birdsall, Lloyds Banking. - Microsoft Querying SQL Server (4 days) (5/12/2016 to 8/12/2016)

"Course content excellent. Staff and instructor helpful throughout the duration."
Karl Lindley. - Microsoft MCSD: Web Applications (9 days) (3/12/2016 to 11/12/2016)

"Great and thorough training in a short time."
Casey Smith, Jolly IT Solutions. - Microsoft Installing and Configuring Windows Server 2012 (4 days) (19/11/2016 to 22/11/2016)

"Very intense course, but very enjoyable. I met some great people, including our instructor and learned a great amount in a short time. Facilities are fantastic, food amazing. Overall a thumbs up! "
Kay Duddy, SSAFA. - Microsoft Specialist: Dynamics CRM 2016 Customisation and Configuration (4 days) (14/11/2016 to 17/11/2016)

"Great course and instructor really explained the material well"
Paddy OToole. - Microsoft Specialist: Dynamics CRM 2016 Online Deployment (3 days) (18/11/2016 to 20/11/2016)

"Very intense course, instructors very supportive, food very good. "
Kayleigh Duddy. - Microsoft Specialist: Dynamics CRM 2016 Online Deployment (3 days) (18/11/2016 to 20/11/2016)

"The training is extremely helpful not just in equipping students for the exams but also for providing valuable knowledge relevant to the workplace."
Obi Onuorah, Senior Internet. - Microsoft Specialist: Dynamics CRM 2016 Online Deployment (3 days) (18/11/2016 to 20/11/2016)

"The Firebrand training was excellent, with a knowledgeable tutor who was able to share his experience in a highly interactive classroom environment. I have come away from the training with a lot more experience and knowledge that I can apply in my workplace"
Ryan Maclean, Oil & Gas UK. - Microsoft Specialist: Dynamics CRM 2016 Customisation and Configuration (4 days) (14/11/2016 to 17/11/2016)

"Fantastic instructor and made the class very interesting with the many different teaching methods. I thoroughly enjoyed it."
S.B, AT&T. - Microsoft MCSE: Communication (Skype for Business) (6 days) (24/10/2016 to 29/10/2016)

"Be prepared to work very hard! Guaranteed to take away vital knowledge at the end but if you have worked hard you'll be taking away a qualification too!"
Johnne Karki. - Microsoft MCSA: Office 365 (5 days) (7/11/2016 to 11/11/2016)

"As always my stay at Firebrand was very good and I am now an MCP in o365 which is great. The instructor was knowledgeable and had a great character which allowed for great learning and understanding of the course requirements."
Nick Margerum. - Microsoft MCSA: Office 365 (5 days) (7/11/2016 to 11/11/2016)

"Firebrand is supportive, educational and a fantastic experience. If ever you need to learn anything IT based, Firebrand is an excellent way to get out of work and really knuckle down to focus on the training at hand."
Kai Stewart. - Microsoft MCSA: Office 365 (5 days) (7/11/2016 to 11/11/2016)

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 Lecuture | Lab | Review technique - helping you to build and retain knowledge faster than traditional training styles. You will develop practial skills relevant to real world application, getting hands-on with Microsoft R Server, SQL R Services, Azure Machine Learning, Cognitive Services and Bot Framework technologies.

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

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

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

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

Read more ...

Interested? See prices or call 080 80 800 888

Use your free Microsoft training vouchers

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

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

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

Firebrand Training provides instruction to meet every learning need:

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

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

Read more ...

Interested? See prices or call 080 80 800 888

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, students will 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, students will 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, students will 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, students will 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, students will 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, students will 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, students will 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, students will 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.

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, students will 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, students will 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, students will 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, students will 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, students will 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, students will 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, students will 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, students will 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, students will 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, students will 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, students will 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, students will 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, students will 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 - currently in beta

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 - currently in beta

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
  • Operationalize 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, CISA, CISM, CGEIT, CRISC, CISSP CBK Review and CSX Practitioner Level 1,2 and 3
  • *** On site testing is not included in our PMI, CISA, CISM, CGEIT, CRISC, CSX Practitioner or ITIL Managers and Revision Certifications. On site testing for GIAC courses is only available in selected regions.
  • **** Accommodation not included on the CISSP CBK Review Seminar

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Interested? See prices or call 080 80 800 888

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

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

Unsure whether you meet the prerequisites?

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

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

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

Interested? See prices or call 080 80 800 888