Readynez Talent: Microsoft Professional Program for Artificial Intelligence

About our Talent Services

You want new efficiencies, new opportunities and growth from technology, and you will need skills to get them. With Readynez Talent Services you will answer real and burning business challenges. No wonder we’ve been awarded the Microsoft Learning Partner of the year global finalist award for helping businesses transform and achieve remarkable results.

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I’m an ambitious graduate looking for an exciting career

The Programme
The Readynez Talent: Microsoft professional Program for Artificial Intelligence offers a fresh take on closing your skills gap.

It´s a complete training programme designed specifically to develop a highly skilled Artificial Intelligence specialist for you, in no time and hassle-free. A specialist, who is ready to select statements and orchestrate big data workflows in the cloud.

Grow your business with a Readynez Talent Artificial Intelligence candidate
Readynez Talent Artificial Intelligence candidates challenge habits, push innovation into cultures and discover new solutions. They are ambitious, committed and flexible and they support an attitude that fuels growth.

And don’t forget, your Readynez Talent programme is all inclusive. We’ll recruit the perfect candidate for you. We’ll train your new employee into a highly skilled, fully-productive and value-adding IT professional in no time. Plus we´ll give you the tools you´ll need for a seamless and successful retention process of the candidates. Or, if you already have a candidate in mind, they´re more than welcome to join the training programme as well.

Programme summary

Training programme

Readynez Talent: Microsoft Professional Program for Artificial Intelligence

Price

57.900 DKK

Duration

3-5 months

Courses

  • Artificial Intelligence (AI) Essentials
  • Build Learning Models and Develop AI Solutions
  • Value Creating Consultant

PROGRAM OVERVIEW

In just a few months, this programme will train your Academy candidate into a certified and fully productive IT professional, ready to create value for your customers and your business. These are the components of the training programme:

Module 1: Artificial Intelligence (AI) Essentials

Introduction to Artificial Intelligence (AI)

Artificial Intelligence will define the next generation of software solutions. This computer science course provides an overview of AI, and explains how it can be used to build smart apps that help organizations be more efficient and enrich people’s lives. It uses a mix of engaging lectures and hands-on activities to help you take your first steps in the exciting field of AI.

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Type

Online Course

Duration

16 hours

Certification

Verified Certificate

What you'll learn

In this course, you will learn how to:
  • Build simple machine learning models with Azure Machine Learning;
  • Use Python and Microsoft cognitive services to work with text, speech, images, and video;
  • Use the Microsoft Bot Framework to implement conversational bots.

 

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Introduction to Python for Data Science

Python is a very powerful programming language used for many different applications. Over time, the huge community around this open source language has created quite a few tools to efficiently work with Python. In recent years, a number of tools have been built specifically for data science. As a result, analyzing data with Python has never been easier.

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Type

Online Course

Duration

24 Hours

Certification

Verified Certificate

What you'll learn

  • Explore Python language fundamentals, including basic syntax, variables, and types
  • Create and manipulate regular Python lists
  • Use functions and import packages
  • Build Numpy arrays, and perform interesting calculations
  • Create and customize plots on real data
  • Supercharge your scripts with control flow, and get to know the Pandas DataFrame

 

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Essential Math for Machine Learning: Python Edition

Learn the essential mathematical foundations for machine learning and artificial intelligence using Python. The course focuses on mathematical concepts that you’ll encounter in studies of machine learning. It is designed to fill the gaps for students who missed these key concepts as part of their formal education, or who need to refresh their memories after a long break from studying math.

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Type

Online Course

Duration

48 Hours

Certification

Verified Certificate

What you'll learn

After completing this course, you will be familiar with the following mathematical concepts and techniques:
  • Equations, Functions, and Graphs
  • Differentiation and Optimization
  • Vectors and Matrices
  • Statistics and Probability

 

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Ethics and Law in Data and Analytics

Learn to apply ethical and legal frameworks to initiatives in the data profession. You will explore practical approaches to data and analytics problems posed by work in Big Data, Data Science, and AI. You will also investigate applied data methods for ethical and legal work in Analytics and AI.

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Type

ONline Course

Duration

18 Hours

Certification

Verified Certificate

What you'll learn

  • Foundational abilities in applying ethical and legal frameworks for the data profession
  • Practical approaches to data and analytics problems, including Big Data and Data Science and AI
  • Applied data methods for ethical and legal work in Analytics and AI

 

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Data Science Research Methods: Python Edition

Learn the essential skills and hands-on experience with the science and research aspects of data science work using Python, from setting up a proper data study to making valid claims and inferences from data experiments.

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Type

Online Course

Duration

18 Hours

Certification

Verified Certificate

What you'll learn

After completing this course, you will be familiar with the following concepts and techniques:
  • Data analysis and inference
  • Data science research design
  • Experimental data analysis and modeling

 

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Artificial Intelligence (AI) Essentials

During this instructor led training your candidates will get hands-on experience that will retain their learning and ensure their ability to apply their skills in a highly practical way.

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Type

Instructor led training

Duration

3 days

You will cover the following topics:

  • Introduction to Artificial Intelligence (AI)
  • Introduction to Python for Data Science
  • Essential Math for Machine Learning: Python Edition
  • Ethics and Law in Data and Analytics
  • Data Science Research Methods: Python Edition

 

Module 2: Build Learning Models and Develop AI Solutions

Principles of Machine Learning: Python Edition

Get hands-on experience building and deriving insights from machine learning models using Python and Azure Notebooks.

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Type

Online Course

Duration

48 Hours

Certification

Verified Certificate

What you'll learn

After completing this course, you will be familiar with the following concepts and techniques:
  • Data exploration, preparation and cleaning
  • Supervised machine learning techniques
  • Unsupervised machine learning techniques
  • Model performance improvement

 

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Deep Learning Explained

Deep learning is a key enabler of AI powered technologies being developed across the globe. In this deep learning course, you will learn an intuitive approach to building complex models that help machines solve real-world problems with human-like intelligence.

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Type

Online Course

Duration

48 Hours

Certification

Verified Certificate

What you'll learn

  • The components of a deep neural network and how they work together
  • The basic types of deep neural networks (MLP, CNN, RNN, LSTM) and the type of data each is designed for
  • A working knowledge of vocabulary, concepts, and algorithms used in deep learning
  • How to build:
    • An end-to-end model for recognizing hand-written digit images, using a multi-class Logistic Regression and MLP (Multi-Layered Perceptron)
    • A CNN (Convolution Neural Network) model for improved digit recognition
    • An RNN (Recurrent Neural Network) model to forecast time-series data
    • An LSTM (Long Short Term Memory) model to process sequential text data

 

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Reinforcement Learning Explained

Reinforcement Learning (RL) is an area of machine learning, where an agent learns by interacting with its environment to achieve a goal.In this course, you will be introduced to the world of reinforcement learning. You will learn how to frame reinforcement learning problems and start tackling classic examples like news recommendation, learning to navigate in a grid-world, and balancing a cart-pole.

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Type

Online Course

Duration

48 Hours

Certification

Verified Certificate

What you'll learn

  • Reinforcement Learning Problem
  • Markov Decision Process
  • Bandits
  • Dynamic Programming
  • Temporal Difference Learning
  • Approximate Solution Methods
  • Policy Gradient and Actor Critic
  • RL that Works

 

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Natural Language Processing (NLP)

Natural language processing (NLP) is one of the most important technologies of the information age. Understanding complex language utterances is also a crucial part of artificial intelligence. In this course, you will be given a thorough overview of Natural Language Processing and how to use classic machine learning methods. You will learn about Statistical Machine Translation as well as Deep Semantic Similarity Models (DSSM) and their applications. We will also discuss deep reinforcement learning techniques applied in NLP and Vision-Language Multimodal Intelligence.

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Type

Online Course

Duration

48 Hours

Certification

Verified Certificate

What you'll learn

  • Apply deep learning models to solve machine translation and conversation problems.
  • Apply deep structured semantic models on information retrieval and natural language applications.
  • Apply deep reinforcement learning models on natural language applications.
  • Apply deep learning models on image captioning and visual question answering.

 

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Build Learning Models and Develop AI Solutions

During this instructor led training your candidates will get hands-on experience that will retain their learning and ensure their ability to apply their skills in a highly practical way.

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Type

Instructor led training

Duration

3 days

You will cover the following topics:

  • Principles of Machine Learning: Python Edition
  • Deep Learning Explained
  • Reinforcement Learning Explained
  • Natural Language Processing (NLP)

 

Module 3: Value Creating Consultant

During the fourth module, we´ll train your candidates in the commercial and personal skills, that are central for a skilled consultant and IT expert.

Value Creating Consultant

In this module your candidates will learn the commercial and personal skills that will be invaluable when meeting customers and internal stakeholders and teammates as well.

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Type

Instructor led training

Duration

2 days

During the Value Creating Consultant module, your candidates will learn the most relevant and up to date best practice commercial insights, that will enable them to understand the business process mechanisms including: Buying processes, sales processes, how organizations buy etc. This insight will enable them to understand how businesses work, and they´ll learn the latest tools, methods and techniques that will support them when they interact with customers in their daily business. The course is highly interactive, with 40-50% of the time being spent on practical application and role playing, peer review etc.

 

Module 4 - Final Capstone Project

Module four is the final project where your candidates get to apply all the knowledge and skills, that they´ve acquired during their training programme.

Microsoft Professional Capstone : Artificial Intelligence

Validate the skills and knowledge you’ve acquired during the Microsoft Professional Program for Artificial Intelligence, and solve a real-world AI problem in this program capstone project. The project takes the form of a challenge in which you will develop a deep learning solution that is tested and scored to determine your grade.Note: This course assumes you have completed the previous courses in the Microsoft Professional Program for Artificial Intelligence.

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Type

Final Capstone Project

Duration

32 Hours

Certification

Microsoft Professional Program Certificate in AI

What you'll learn

This course is unusual in that it is a test of the knowledge and skills you have developed by taking other courses. The point of this capstone project is to enable to to gain experience of applying these skills to solve a real problem.

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"If we only take the salary into consideration, then we have break even on our investment in the Academy candidate within 5 months."

JCD

Peter Linnet - Manager

"You can put it like this, you either close or you grow in our market."

Datacon

Kenn Buhl - Director

"The two candidates were already being productive, ready to meet customers and organize workshops when they had completed their 3-month Academy program."

Daxiomatic

Pia Tasior - HR & Communications Manager

"It's one of the best hires of my 25 years as a CEO."

2ndC

Jesper Bergstedt - CEO

"Within 12 months they´ve developed into consultants equal to their senior colleagues and we fully expect that most of them will continue their development and become among our best senior consultants."

EG

Tina Bodin - HR Director

"It took Henrik just 2 weeks to be able to deliver billable hours and within 4 months, we had a positive return on our investment. Of course there is still much to learn, but he also makes a significant contribution."

X-Link

Ulrik Knudsen - Director

"The candidates we met were brilliant! They had a very special kind of energy and drive. We´ve found that within 6-10 months of employment, the young Academy graduates are charging hours at the same rate as their more senior colleagues."

KMD

Søren Billeskov - Head of Talent Management

Still looking?

Our facts

350+

Courses

With us you'll find 350+ accelerated course- and certification programmes and we can train talent in every single one. Whatever your chosen technology, we'll create your experts.

70%

Billable hours

Readynez candidates are quickly ready to deliver value. Within a year the candidates are, on average, billing 70% or more of their time to customers.

97%

Stay in their first job

We've currently recruited and trained more than 300 candidates and when we asked them after two years of employment, 97% of them had stayed on with the original employer.

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