What is Microsoft-AI Program?
Artificial Intelligence (AI) is going to be the next generation of software solutions. Because AI almost performs like a human and solve the problems beyond our imagination.
- AI can understand natural language, activities, processing speech, observe through vision, and so on.
- Microsoft Introduced a new online course especially for AI with its efficient program modules.
- A professional program in AI from Microsoft is a boon for many engineers to get a chance to improve their skill set in AI and Data Science.
- This programme structured in the way to offer Job sure skills and real-world hands-on experience to engineers and others.
- This program consists of 10 AI related courses that provide 10 kinds of skills to learners.
- This course incorporates new technologies like Azure machine learning, natural language processing, Python, speech recognition, math, data analysis, and ethics.
Highlights of Microsoft-AI Program
- Introduction to AI:– It gives 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.
- Introduction to Python for Data Science:- This module provides 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.
- Data Science Essentials:- In this, you can learn the emerging techniques like statistical analysis, data cleansing and transformation, Microsoft Azure Machine Learning, data visualization with R, and Python.
- Essential Mathematics for Artificial Intelligence:- In this module, you can relearn mathematical principles like Calculus, Linear Algebra, Probability, Statistics, and Optimization.
- Ethics and Law in Data and Analytics:- This module explains the important ethical and legal frameworks to initiatives in the data profession.
- Principles of Machine Learning:- This part guides you to learn theoretical principles of regression, classification, recommendation, and clustering.
- Reinforcement Learning Explained:- This part trains to work in Project Malmo platform for research built on Minecraft game.
- Computer Vision and Image Analysis:- In this module, you can examine the emerging trends of Computer Vision, from classical to Deep-Learning techniques using Transfer Learning and Microsoft ResNet to train a model to perform Semantic Segmentation.
- Speech Recognition Systems:- This chapter helps learn, understand, and build an Automatic Speech Recognition (ASR) system using Python code.
- Deep Learning Explained:- This module provides hands-on experience to use the Microsoft Cognitive Toolkit to get the intelligence within massive datasets through deep learning with uncompromised scaling, speed, and accuracy.
- Natural Language Processing (NLP):- Here you can learn about Statistical Machine Translation as well as Deep Semantic Similarity Models (DSSM) and their applications.
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[…] is an Artificial Intelligence(AI) powered search engine for search and understand scientific articles for researchers and scientists. […]