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Getting started with Microsoft Dynamics 365

Who should read this blog post?

Dynamics 365 User

You are a Dynamics 365 user and want to take advantage of its core features, customization options, workflow and reporting tools such as Power Apps, Power Automate (Flow) and Power BI, which are included as part of the offering.

Dynamics 365 Evaluation Decision Maker

You have been tasked with evaluating whether Dynamics 365 is the right fit for your organization or your customers.

Dynamics 365 Power User

Your organization,or your customer has already migrated or is about to migrate to Microsoft Dynamics 365, and you need to quickly grasp what this software has to offer.

Existing User of On-Premise Microsoft Dynamics CRM or Microsoft Dynamics ERP such as Dynamics AX or Dynamics NAV or Dynamics GP or Dynamics SL

You are an existing user of “on-premise” Microsoft Dynamics CRM or Microsoft Dynamics ERP such as Dynamics AX or Dynamics NAV or Dynamics GP or Dynamics SL, and you are eager to learn about the new cloud versions, which have been rebranded and are now part of Dynamics 365.

What is Microsoft Dynamics 365?

Microsoft has released Dynamics 365, the next generation of its business suite. While often compared to Salesforce.com, Dynamics 365 expands beyond cloud-based customer relationship management (CRM) software, extending to Enterprise Resource Planning (ERP) solutions for accounting and supply chain management. Dynamics 365 uses cloud services to make businesses more agile and responsive to change, ultimately increasing productivity.

Microsoft Dynamics 365 is a fast, flexible business platform that helps you and your employees do more and achieve more every day. Designed not only for today's business world but also for the future, Dynamics 365 has something to offer everyone in your organization. From customer service representatives to sales managers to CEOs, just about anyone can use an easy-to-use interface to gain new insights into their work.

Dynamics 365 empowers intelligent business application experiences to create new opportunities for revenue and growth. Delivered through the cloud and built on the Microsoft platform, Dynamics 365 is your gateway to all that the digital transformation has to offer: smarter ways of working, more engaging and intuitive interfaces that enhance teamwork and innovation, and increased agility to lead and succeed in a digitally-driven world.

You may have been aware of the fact that there were a few names that have been swirling around for a while in the Microsoft Dynamics family. Dynamics AX, NAV, and GP have all received the umbrella branding of Dynamics 365 in recent years. What's going on? Do all these applications have something in common? Are they going to meld into one big application in the near future? In this series, we'll dive into this new set of products and focus on answering some of these questions.

Microsoft Dynamics 365 is a bundle of business applications from Microsoft, which represents an awesome opportunity for customers to leverage this product and grow their business. However, the complexity of the different applications and how they work together poses a great challenge for their customers to ensure that they are correctly configured to work well and that a positive customer experience is provided. To help the customers achieve that, we have developed a series of blog articles that will help you to quickly navigate your way through this bundle and provide you with all the necessary information about how it works as well as useful tips on how to configure the different aspects of these software packages to maximize your investment.

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Machine Learning Training Course for Beginners in London_done

Machine Learning Training Course for Beginners in London

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Machine Learning Training Course Schedule

 

Please choose from one of the dates in the table below to begin your enrollment :

Dates Weekly Schedule (US Pacific Time)* Price Add to Cart
Dec 6 to Dec 29 Mon/Wed 5:30 PM - 7:30 PM each day $1.00 Add to cart
Dec 7 to Dec 30 Tue/Thu 7:30 AM - 9:30 AM each day $1.00 Add to cart
Jan 8 to Jan 30 Sat/Sun 7:30 AM - 9:30 AM each day $1.00 Add to cart
Jan 10 to Feb 2 Mon/Wed 5:30 PM - 7:30 PM each day $1.00 Add to cart
Jan 11 to Feb 3 Tue/Thu 7:30 AM - 9:30 AM each day $1.00 Add to cart
Feb 5 to Feb 27 Sat/Sun 7:30 AM - 9:30 AM each day $1.00 Add to cart
Feb 7 to Mar 2 Mon/Wed 5:30 PM - 7:30 PM each day $1.00 Add to cart
Feb 8 to Mar 3 Tue/Thu 7:30 AM - 9:30 AM each day $1.00 Add to cart
Mar 14 to Apr 6 Mon/Wed 6:30 PM - 8:30 PM each day $1.00 Add to cart
Mar 15 to Apr 7 Tue/Thu 8:30 AM - 10:30 AM each day $1.00 Add to cart
Mar 19 to Apr 10 Wed/Sun 8:30 AM - 10:30 AM each day $1.00 Add to cart
*click on date/time hyperlink to add your location and find local date/time for first session
Dates and Weekly Schedule (US Pacific Time)* Price
Dec 6 to Dec 29
Mon/Wed 5:30 PM - 7:30 PM each day
$1.00
Enroll
Dec 7 to Dec 30
Tue/Thu 7:30 AM - 9:30 AM each day
$1.00
Enroll
Jan 8 to Jan 30
Sat/Sun 7:30 AM - 9:30 AM each day
$1.00
Enroll
Jan 10 to Feb 2
Mon/Wed 5:30 PM - 7:30 PM each day
$1.00
Enroll
Jan 11 to Feb 3
Tue/Thu 7:30 AM - 9:30 AM each day
$1.00
Enroll
Feb 5 to Feb 27
Sat/Sun 7:30 AM - 9:30 AM each day
$1.00
Enroll
Feb 7 to Mar 2
Mon/Wed 5:30 PM - 7:30 PM each day
$1.00
Enroll
Feb 8 to Mar 3
Tue/Thu 7:30 AM - 9:30 AM each day
$1.00
Enroll
Mar 14 to Apr 6
Mon/Wed 6:30 PM - 8:30 PM each day
$1.00
Enroll
Mar 15 to Apr 7
Tue/Thu 8:30 AM - 10:30 AM each day
$1.00
Enroll
Mar 19 to Apr 10
Wed/Sun 8:30 AM - 10:30 AM each day
$1.00
Enroll
*click on date/time hyperlink to add your location and find local date/time for first session

London Machine Learning training course for beginners is a 4 weeks long Instructor-led and guided training with Practical Hands-On Lab exercises to be taught over 16 hours, 2 sessions per week, 2 hours per session.

  • This course is meant for beginners who would like to learn everything about
    Salesforce Administrator.
  • The medium of instruction is English.
  • All Published Ticket Prices are in US Dollars.

London Machine Learning Training Course Objectives

 
  • Demonstrate the knowledge of decision tree learning, artificial neural networks, Bayesian networks, instance-based learning, analytic learning, reinforcement learning, genetic programming, deep learning, etc.
  • Demonstrate the knowledge of MLlib on Spark, or other machine learning libraries.
  • Practice examples of machine learning programming and open source machine learning tools, and implement example machine learning applications.

London Machine Learning Training Course Features and Benefits

 
  • 4 weeks, 8 sessions, 16 hours of total Instructor-led and guided training
  • Training material, instructor handouts and access to useful resources on the cloud provided
  • Practical Hands-on Lab exercises provided.
  • Actual code and scripts provided
  • Real-time scenarios

Who should attend ?

 
  • Anyone who wants to learn machine learning for any purpose.

Prerequisites

 
  • Computer concepts
  • Knowledge of any programming language is desirable but not required.
  • Knowledge of these concepts is nice to have but not required: Data Structures and Computer Algorithms, Statistics, Probability, Linear Algebra, Calculus.

Machine Learning Training Course Overview

 

1. Introduction to Machine Learning

2. Working with Python or R

3. Machine Learning Techniques – Types of Learning

  • Applying Machine Learning
  • Machine learning system, design
  • 4. Types of Machine Learning Algorithms

    • Supervised Learning
    • Regression
    • Classification
    • Unsupervised Learning
    • Clustering
    • Recommendation
    • deep learning
    • Semi-Supervised Learning
    • Reinforcement

5. Supervised Learning Regression

6. Supervised Learning Classification

7. Unsupervised Learning

  • Clustering
  • Recommendation
  • deep learning

9. Common Machine Learning Algorithms

  • Linear Regression
  • Logistic Regression
  • Decision Tree
  • SVM
  • Naive Bayes
  • KNN
  • KMeans
  • Random Forest
  • Dimensionality Reduction Algorithms
  • Gradient Boost & Adaboost
  • artificial neural networks
  • Bayesian networks
  • instance-based learning
  • analytic learning,
  • reinforcement
  • genetic programming

Refund Policy

 
  • 100% refund can be applied if request is initiated 24 hours before the 1st course session.
  • If a class is rescheduled/cancelled by the organizer, registered students will be offered a credit towards any future course or a 100% refund

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