Microsoft Professional Program (MPP): Artificial Intelligence

Microsoft Professional Program (MPP): Artificial Intelligence

Program

Microsoft MPP-AI

USD 790.00
Excl. Tax

Build the Intelligent Future.

Abstract


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

Built with the focus of teaching students how to build deep learning predictive models for AI, the Microsoft Professional Program Certificate in Artificial Intelligence will help you learn the skills you need to build the intelligent future.


What you'll learn


  • Use Python to work with Data
  • Consider Ethics for AI
  • Build Machine Learning Models
  • Build Reinforcement Learning Models
  • Develop Applied AI Solutions
  • Operationalize AI Solutions

To be eligible to earn a certificate for completing the Microsoft Professional Program in Artificial Intelligence, please go to https://academy.microsoft.com/en-us/professional-program/tracks/artificial-intelligence/ to create a Microsoft Academy account. After signing up, you’ll be able to track your progress on a personalized dashboard that updates every time you earn a Verified Certificate in a course from Artificial Intelligence track.


How it works


This comprehensive curriculum features courses that are presented in a suggested order that builds your skills as you advance through the courses. While the order is a suggestion you are free to take the courses in any order that you wish. Upon completing the coursework, you will be able to demonstrate what you have learned through completion of the Capstone project. The first eight courses are required, you may then choose from four options for the ninth course prior to completing the Professional Capstone.


Artificial Intelligence Professional Program - Curriculum Overview


  • Course 1 - Introduction to Artificial Intelligence (AI)
  • Course 2 - Introduction to Python for Data Science
  • Course 3 - Essential Mathematics for Artificial Intelligence: Python Edition
  • Course 4 - Ethics and Law in Data and Analytics
  • Course 5 - Data Science Research Methods: Python Edition
  • Course 6 - Principles of Machine Learning: Python Edition
  • Course 7 - Deep Learning Explained
  • Course 8 - Reinforcement Learning Explained
  • Course 9a - Computer Vision and Image Analysis   |   Course 9b - Speech Recognition Systems   |   Course 9c - Natural Language Processing (NLP)
  • Course 10 - Microsoft Professional Capstone: Artificial Intelligence
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USD 790.00

Course 1 - Introduction to Artificial Intelligence (AI)

Introduction to Artificial Intelligence

Introduction to Artificial Intelligence

Microsoft DAT263x
Free of Charge
Microsoft
Open edX
90 days

Course 2 - Introduction to Python for Data Science

Introduction to Python for Data Science

Introduction to Python for Data Science

Microsoft DAT208x
Free of Charge
Microsoft
Open edX
90 days

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.


In this practical course, you will start from the very beginning, with basic arithmetic and variables, and learn how to handle data structures, such as Python lists, Numpy arrays, and Pandas DataFrames. Along the way, you’ll learn about Python functions and control flow. Plus, you’ll look at the world of data visualizations with Python and create your own stunning visualizations based on real data.

Course 3 - Essential Mathematics for Artificial Intelligence

Essential Math for Machine Learning: Python Edition

Essential Math for Machine Learning: Python Edition

Microsoft DAT256x
Free of Charge
Microsoft
Open edX
90 days

This course is part of the Microsoft Professional Program in Artificial Intelligence.

Want to study machine learning or artificial intelligence, but worried that your math skills may not be up to it? Do words like “algebra’ and “calculus” fill you with dread? Has it been so long since you studied math at school that you’ve forgotten much of what you learned in the first place?

You’re not alone. machine learning and AI are built on mathematical principles like Calculus, Linear Algebra, Probability, Statistics, and Optimization; and many would-be AI practitioners find this daunting. This course is not designed to make you a mathematician. Rather, it aims to help you learn some essential foundational concepts and the notation used to express them. The course provides a hands-on approach to working with data and applying the techniques you’ve learned.

This course is not a full math curriculum; it’s not designed to replace school or college math education. Instead, it 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

Ethics and Law in Data and Analytics

Ethics and Law in Data and Analytics

Microsoft DAT249x
Free of Charge
Microsoft
Open edX
90 days

Course 5 - Data Science Essentials

Data Science Research Methods: Python Edition

Data Science Research Methods: Python Edition

Microsoft DAT273x
Free of Charge
Microsoft
Open edX
90 days

Data scientists are often trained in the analysis of data. However, the goal of data science is to produce a good understanding of some problem or idea and build useful models on this understanding. Because of the principle of "garbage in, garbage out," it is vital that a data scientist know how to evaluate the quality of information that comes into a data analysis. This is especially the case when data are collected specifically for some analysis (e.g., a survey).

In this course, you will learn the fundamentals of the research process-from developing a good question to designing good data collection strategies to putting results in context. Although a data scientist may often play a key part in data analysis, the entire research process must work cohesively for valid insights to be gleaned.

Developed as a powerful and flexible language used in everything from Data Science to cutting-edge and scalable Artificial Intelligence solutions, Python has become an essential tool for doing Data Science and Machine Learning. With this edition of Data Science Research Methods, all of the labs are done with Python, while the videos are language-agnostic. If you prefer your Data Science to be done with R, please see Data Science Research Methods: R Edition.

Course 6 - Build Machine Learning Models

Principles of Machine Learning: Python Edition

Principles of Machine Learning: Python Edition

Microsoft DAT275x
Free of Charge
Microsoft
Open edX
90 days

Machine learning uses computers to run predictive models that learn from existing data in order to forecast future behaviors, outcomes, and trends.

In this data science course, you will be given clear explanations of machine learning theory combined with practical scenarios and hands-on experience building, validating, and deploying machine learning models. You will learn how to build and derive insights from these models using Python, and Azure Notebooks.

Course 7 - Build Deep Learning Models

Deep Learning Explained

Deep Learning Explained

Microsoft DAT236x
Free of Charge
Microsoft
Open edX
90 days

Course 8 - Build Reinforcement Learning Models

Reinforcement Learning Explained

Reinforcement Learning Explained

Microsoft DAT257x
Free of Charge
Microsoft
Open edX
90 days

Course 9 - Develop Applied AI Solutions (- choose one -)

Computer Vision and Image Analysis

Computer Vision and Image Analysis

Microsoft DEV290x
Free of Charge
Microsoft
Open edX
90 days
Speech Recognition Systems

Speech Recognition Systems

Microsoft DEV287x
Free of Charge
Microsoft
Open edX
90 days
Natural Language Processing (NLP)

Natural Language Processing (NLP)

Microsoft DEV288x
Free of Charge
Microsoft
Open edX
90 days

Course 10 - Final Project - Microsoft Professional Capstone: Artificial Intelligence

Microsoft Professional Capstone: Artificial Intelligence

Microsoft Professional Capstone: Artificial Intelligence

Microsoft DAT264x
Free of Charge
Microsoft
Open edX
90 days

This course is part of the Microsoft Professional Program in Artificial Intelligence.

Showcase the knowledge and skills 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.

Official Microsoft Certificates (9 pc.)

Microsoft Certificate of Completion

Microsoft Certificate of Completion

Microsoft A85-04383
Free of Charge
Microsoft

Original Microsoft Certificate of Completion


Get your Original Microsoft Certificate of Completion that certifies the successful passing of a Microsoft Massive Open Online Course (MOOC).

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