Microsoft Azure AI engineers build, manage, and deploy AI solutions that make the most of Azure Cognitive Services and Azure services. Their responsibilities include participating in all phases of AI solutions development—from requirements definition and design to development, deployment, integration, maintenance, performance tuning, and monitoring.

These professionals work with solution architects to translate their vision and with data scientists, data engineers, IoT specialists, infrastructure administrators, and other software developers to build complete end-to-end AI solutions.

Azure AI engineers have experience developing solutions that use languages such as Python or C# and should be able to use REST-based APIs and software development kits (SDKs) to build secure image processing, video processing, natural language processing (NLP), knowledge mining, and conversational AI solutions on Azure. They should be familiar with all methods of implementing AI solutions. Plus, they understand the components that make up the Azure AI portfolio and the available data storage options. Azure AI engineers also need to understand and be able to apply responsible AI principles.

Mastering the basics in AI can help you jump-start your career and get ready to dive deeper into the other technical opportunities Azure offers. Artificial intelligence (AI) opens doors into possibilities that might have seemed like science fiction only yesterday. Using AI, you can build solutions, improve your apps and advance technology in many fields, including healthcare, financial management, and environmental protection, to name just a few.

The Microsoft Certified: Azure AI Fundamentals certification could be a great fit for you if you'd like to:

Prove that you have the AI skills it takes to build a better world. Earning your Azure AI Fundamentals certification can supply the foundation you need to build your career and demonstrate your knowledge of common AI and machine learning workloads—and what Azure services can solve for them.
Validate your foundational knowledge of machine learning and AI concepts, along with related Azure services.

It is recommended to have some general programming knowledge or experience, but it is not required. You can use Azure AI fundamentals to reinforce your basics for other Azure role-based certifications, like Azure Data Scientist Associate, Azure AI Engineer Associate, or Azure Developer Associate, but it’s not a prerequisite for any of them.

We live in a mobile-first and cloud-first world. Computing is ubiquitous, and experiences span devices and exhibit ambient intelligence. Billions of sensors, screens and devices – in conference rooms, living rooms, cities, cars, phones, PCs – are forming a vast network and streams of data that simply disappear into the background of our lives. This computing power will digitize nearly everything around us, and will derive insights from all of the data being generated by interactions among people and between people and machines. We are moving from a world where computing power was scarce to a place where it now is almost limitless, and where the true scarce commodity is increasingly human attention.

In this new connected world, we believe technology creates opportunity, and our edX courses are designed to provide you with the core development skills needed to be successful in the cloud-first, mobile-first world.

Our edX courses, taught by Microsoft experts, let you learn through hands-on experience with broad reach, cutting-edge technologies in areas including cloud services, mobile development, and data sciences. Whether you’re a student or a seasoned technologist, we can empower you to build innovative applications, services, and experiences on the Microsoft platform that will help you make a meaningful impact in today’s interconnected world.

Welcome to the world of Microsoft technology – choose a path and make your mark.

Artificial Intelligence (AI) revolution is here!

“Artificial Intelligence market worldwide is projected to grow by US$284.6 Billion driven by a compounded growth of 43. 9%. Deep Learning, one of the segments analyzed and sized in this study, displays the potential to grow at over 42. 5%.” (Source: globenewswire).

AI is the science that empowers computers to mimic human intelligence such as decision making, reasoning, text processing, and visual perception. AI is a broader general field that entails several sub-fields such as machine learning, robotics, and computer vision.

For companies to become competitive and skyrocket their growth, they need to leverage AI power to improve processes, reduce cost and increase revenue. AI is broadly implemented in many sectors nowadays and has been transforming every industry from banking to healthcare, transportation and technology.

The demand for AI talent has exponentially increased in recent years and it’s no longer limited to Silicon Valley! According to Forbes, AI Skills are among the most in-demand for 2020.

The purpose of this course is to provide you with knowledge of key aspects of modern Artificial Intelligence applications in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets. The course covers many new topics and applications such as Emotion AI, Explainable AI, Creative AI, and applications of AI in Healthcare, Business, and Finance.

One key unique feature of this course is that we will be training and deploying models using Tensorflow 2.0 and AWS SageMaker. In addition, we will cover various elements of the AI/ML workflow covering model building, training, hyper-parameters tuning, and deployment. Furthermore, the course has been carefully designed to cover key aspects of AI such as Machine learning, deep learning, and computer vision.

​

Natural Language Processing (NLP) is a subfield of linguistics, computer science, and artificial intelligence that uses algorithms to interpret and manipulate human language.

This technology is one of the most broadly applied areas of machine learning and is critical in effectively analyzing massive quantities of unstructured, text-heavy data. As AI continues to expand, so will the demand for professionals skilled at building models that analyze speech and language, uncover contextual patterns, and produce insights from text and audio.

By the end of this Specialization, you will be ready to design NLP applications that perform question-answering and sentiment analysis, create tools to translate languages and summarize text, and even build chatbots. These and other NLP applications are going to be at the forefront of the coming transformation to an AI-powered future.

This Specialization is designed and taught by two experts in NLP, machine learning, and deep learning. Younes Bensouda Mourri is an Instructor of AI at Stanford University who also helped build the Deep Learning Specialization. Łukasz Kaiser is a Staff Research Scientist at Google Brain and the co-author of Tensorflow, the Tensor2Tensor and Trax libraries, and the Transformer paper.

This free online course provides a hands-on introduction to deep learning. The course focuses on building models for enterprise problems, including when to use deep learning, examples of industry applications, and how to deploy deep learning in enterprise systems. All examples are implemented using the TensorFlow framework.

Our Post Graduate certificate program in Data Science and Machine Learning is designed to enhance your knowledge and understanding of Data Science & ML related concepts. Learn from MNIT faculty and industry specialists to master Python, Data Wrangling, Prediction algorithms, etc., through real-time projects & case studies.

The objective of the PG-DAI course is to present in-depth knowledge and applications in Artificial Intelligence using tools and case studies. Upon completion of this course, participants will be empowered to use computational techniques in the area of Artificial Intelligence, Natural Language Processing, Machine Learning and Deep Learning based applications.

Program Curriculum

This 12-month program is designed to impart industry-relevant skills in Computer Science, Artificial Intelligence, and Machine Learning.



PRE-WORK: Math for AI and Statistics Refresher
The program requires a basic level of mathematics and statistics for participants to understand and apply.
COURSE 1: Programming with Python

Python Programming Fundamentals
Use of Packages in Python for Data Science
Data Collection and Scraping in Python
Visualization and Exploratory Data Analysis

COURSE 2: Data Structures and Algorithms

Types of Data Structures – Arrays, Linked Lists
Stacks, Queues
Trees, Graphs
Searching and Sorting

COURSE 3: Design and Analysis of Algorithms

Time and Space Complexity and Mathematical Analysis
Divide and Conquer and Greedy Algorithms
Dynamic Programming
Branch and Bound Algorithms

COURSE 4: Databases - SQL and NoSQL

Database Principles
SQL for DB
NoSQL - Cassandra, MongoDB

COURSE 5: Machine Learning

Supervised Learning
Unsupervised Learning

COURSE 6: Advanced Machine Learning

Ensemble Techniques
Feature Selection, Model Evaluation and Tuning

COURSE 7: Deep Learning for AI

Neural Networks and Deep Learning
Applications to Computer Vision and Natural Language Processing

COURSE 8: Capstone Project

International Institute of Information Technology, Bangalore offers an online PG Diploma in Machine Learning and Artificial Intelligence for students looking to bolster their careers in such domains. This online PG Diploma programme aims at producing efficient and competent Data Scientists and Machine Learning experts while ensuring that the country is ready for the next wave of Artificial Intelligence. The online PG Diploma in Machine Learning and Artificial Intelligence from IIIT Bangalore promises to help an individual develop the right technical skills in the field of Machine learning and Artificial Intelligence. Get more details about the programme below:

Post Graduate Programme in Artificial Intelligence and Machine Learning

According to a MarketsandMarkets forecast, the market for AI-enabled automation will grow from USD 58.3 billion in 2021 to USD 309.6 billion by 2026, at a CAGR of 39.7% globally. With the government’s step towards digitization, and multiple organizations accelerating their digital transformation initiatives, the demand for AI talent pool is expected to skyrocket in India also.Are you ready to ride the wave?

The BITS Pilani 11-month online Post Graduate Certificate Programme in Artificial Intelligence and Machine Learning is designed to help working professionals like you to develop an understanding of AI & ML and its various building blocks.

Admissions will begin in August 2023. For detailed programme information, download the brochure below.