Build the Intelligent Future.

Artificial Intelligence (AI) will define the next generation of software solutions. Human-like capabilities such as understanding natural language, speech, vision, and making inferences from knowledge will extend software beyond the app.

The AI track takes aspiring AI engineers from a basic introduction of AI to mastery of the skills needed to build deep learning models for AI solutions that exhibit human-like behavior and intelligence.

Technologies you will use to gain your AI skills

  • Python
  • Math
  • Ethics
  • Data Analysis
  • Azure Machine Learning
  • Computer Vision
  • Natural Language Processing
  • Speech Recognition


Artificial Intelligence Track Details

All courses are available online and on demand on any device – so whether you plan to spend a couple of hours per day or a couple of hours per week, you can work on these skills at the pace that is right for you.

Course 1: Introduction to 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.


Course 2: Introduction to Python for Data Science

Learn the basics of Python, including simple arithmetic operations, variables, and data structures. Explore Python functions and control flow, and create your own visualizations based on real data.


Course 3: Essential Mathematics for Artificial Intelligence

This course focuses on the key 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.


Course 4: Ethics and Law in Data and Analytics

In this course, you'll learn to apply ethical and legal frameworks to initiatives in the data profession. You'll explore practical approaches to data and analytics problems posed by work in Big Data, Data Science, and AI. You'll also investigate applied data methods for ethical and legal work in Analytics and AI.


Course 5: Data Science Essentials

Learn key concepts and techniques used to perform data science; including statistical analysis, data cleansing and transformation, and data visualization with R, Python, and Microsoft Azure Machine Learning.


Course 6: Principles of Machine Learning

Learn how to build, evaluate, and optimize machine learning models; including classification, regression, clustering, and recommendation.


Course 7: Deep Learning Explained

This course provides the level of detail needed to enable engineers / data scientists / technology managers to develop an intuitive understanding of the key concepts behind this game changing technology.


Course 8: Reinforcement Learning Explained

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.


Course 9: Develop Applied AI Solutions

Option 1: Natural Language Processing (NLP)

In this course, you will be given a thorough overview of Natural Language Processing and how to use classic machine learning methods.


Option 2: Speech Recognition Systems

Learn about the pieces of a modern automatic speech recognition (ASR) system as we cover fundamental acoustic and linguistic theory, data preparation, language modeling, acoustic modeling, and decoding.


Option 3: Computer Vision and Image Analysis

A deep dive into Computer Vision, Image Analysis and Semantic Segmentation using the Microsoft Cognitive Toolkit.

Final Project - 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.


Microsoft Professional Program Certificate in Artificial Intelligence



Booking Options: We offer two options to reach your Certificate in Artificial Intelligence!

Self-paced E-Learning with optional Learning as a Service (LaaS) offerings



Complete Package Price
790.00 €
including 9 Certificates of Completion

Customized Onsite Classroom Training
with a small E-learning part



Complete Package Price
On request


Do you have any questions about the Microsoft Professional Program for AI?

You can reach us any time at +49 40 253346-10 or send an email to info@flane.de.


 

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