Artificial intelligence Design and Engineering with Microsoft Azure by CloudSwyft Global Systems, Inc via Futurelearn: Fee, Duration, How to Apply

Quick Facts

particular	details
Medium of instructions English	Mode of learning Self study	Mode of Delivery Video and Text Based	Learning efforts 5-6 Hours Per Week

Course overview

AI Design and Engineering with Microsoft Azure online course teaches the basics of artificial intelligence and how to use Microsoft Azure to create AI solutions. The AI Design and Engineering with Microsoft Azure certification by FutureLearn is suitable for anyone who wants to learn about AI, whether they are beginners or professionals.

The AI Design and Engineering with Microsoft Azure online course covers five main topics: cloud computing concepts, Python programming, conversational AI with Azure Bot Service, machine learning with Azure Machine Learning, and computer vision solutions. Each topic has a separate course that consists of videos, quizzes, exercises, and projects. By completing the course, learners will gain the skills and knowledge to design and engineer AI solutions using Microsoft Azure. They will also be prepared for two certification exams: Microsoft Azure AI Fundamentals (AI-900) and Microsoft Azure AI Engineer Associate (AI-100).

The AI Design and Engineering with Microsoft Azure certification course duration is 17 weeks, with 5-6 hours of study per week. The course level is introductory, so no prior experience in AI or cloud computing is required. The course is a great opportunity for anyone who wants to learn to design and engineer AI solutions using Microsoft Azure.

Course and certificate fees

The AI Design and Engineering with Microsoft Azure certification fee comes at a monthly subscription price of Rs. 900.

AI Design and Engineering with Microsoft Azure fee structure

Course Name	Fee
AI Design and Engineering with Microsoft Azure	Rs. 900 p.m.

certificate availability

Yes

certificate providing authority

Futurelearn

Who it is for

Software developer Database architect Cloud solution architect Devops engineer

The Course in DevOps certification syllabus is for anyone who wants to learn about artificial intelligence and how to use Microsoft Azure to create AI solutions. It is suitable for beginners who have no prior experience in AI or cloud computing, as well as professionals who want to enhance their skills and knowledge in this field. For example–

Eligibility criteria

Academic Qualifications

This AI Design and Engineering with Microsoft Azure training is tailored for data science students and individuals entering entry-level positions in the AI and ML industries who know the Python programming Language and basic Data Science concepts as well as basic Cloud Computing skills.

Certification Qualifying Details

Completion of the AI Design and Engineering with Microsoft Azure training is enough for certification.

What you will learn

Machine learning Knowledge of python Knowledge of artificial intelligence

During the AI Design and Engineering with Microsoft Azure classes, participants will be able to:

Utilise mathematical skills in Python programming
Showcase the process of creating an AI-powered chatbot
Cultivate proficiency in navigating and comprehending Microsoft Azure
Display a comprehensive grasp of Machine Learning and its practical applications
Acquire a fundamental understanding of the Python programming language

The syllabus

Mastering Cloud Computing for AI: How to Use Microsoft Azure

Course Introduction

About this Course
Cloud Concepts
Review and Summary: Cloud Concepts
Core Azure Architectural Components
Core Azure Services
Azure Products and Solutions
Review and Wrapping up the week

Azure Fundamentals

Azure Management Tools
Networks and Security in Azure
Azure Governance, Monitoring and Trust
Privacy, Compliance and Data Protection standards in Azure
Review and Summary: Security Components
Azure Pricing and Support
Review and Summary: Pricing and Support
Wrap Up and Course Completion

Introduction to Artificial Intelligence and Machine Learning

Course Introduction

About this Course
Artificial Intelligence
Machine Learning Fundamentals
Azure Machine Learning Studio
CloudSwyft Hands-On Lab 1
Wrapping Up the Week

Text Analytics and Image Processing

Getting Started with Text Processing
Introduction to Natural Language Processing
Language Understanding Intelligent Service
CloudSwyft Hands-On Lab 2
Getting Started with Image Processing
Wrapping Up the Week

Image Processing, Bots and Beyond the Basics

Working with Images and Video
CloudSwyft Hands-On Lab 3
Introduction to Bots
Building Intelligent Bots
CloudSwyft Hands-On Lab 4
Beyond the Basics
Where Do I Go From Here?

AI Programming with Python for Beginners

Course Introduction

About this Course
Introduction to Python
Introducing Variables and Types
Python Lists
Subsetting Lists
Manipulating Lists
Wrapping up the week

Introduction to Functions, Methods and Objects

Introduction to Functions
Methods and Objects
Python Packages
NumPy and NumPy Arrays
2D NumPy Arrays
Basic Statistics with NumPy
Wrapping up the Week

Boolean Logic, Pandas and Data Visualisation

Boolean Logic and Control Flow
Pandas
Plotting with Matplotlib
Histograms
Data Visualisation
Final Labs and Course Wrap Up

Mathematics for Data Science: Essential Mathematics for Machine Learning and AI

Course Introduction

About this Course
Algebra Fundamentals
Exponents and Polynomials
Factorisation, Quadratic Equations and Functions
Wrapping Up the Week

Differential Calculus

Differential Calculus Foundations
Derivatives
Differentiation
Wrapping Up the Week

Vectors and Matrices

Vectors
Matrices
Matrix Transformations
Wrapping Up the Week

Statistics and Probability

Visualising Data
Central Tendencies
Probability
Confidence Intervals and Hypothesis Testing
Wrap Up and Course Completion

AI and Machine Learning Algorithms Using Python

Introduction to Course and Machine Learning

Course Introduction
Introduction to Machine Learning
Exploratory Data Analysis for Regression
Visualisation for High Dimensions
Wrapping Up the Week

Data Exploration & Preparation

Exploratory Data Analysis for Classification
Data Cleaning
Data Preparation
Data Preparation and Cleaning using Python
Feature Engineering
Weekly Wrap-Up

Regression & Classification

Regression
Putting Regression Concepts Into Practice
Classification
RoC Curves
Putting Classification Concepts Into Practice
Weekly Wrap-Up

Principles & Techniques of Model Improvement

Principles of Model Improvement
Techniques for Improving Models
Cross Validation
Dimensionality Reduction
Introduction to Decision Trees
Ensemble Methods: Boosting
Weekly Wrap-Up

Machine Learning Algorithms & Unsupervised Learning

Ensemble Methods: Descent & Decision Forests
Advanced Machine Learning Algorithm: Neural Networks
Advanced Machine Learning Algorithm: SVMs
Advanced Machine Learning Algorithm: Naive Bayes Models
Unsupervised Machine Learning
Unsupervised Machine Learning Labs
Wrapping up the Course

Admission details

Follow the steps below to join the online course.

Step 1- Click on the link below: https://www.futurelearn.com/experttracks/ai-engineer-with-microsoft-azure

Step 2- Register to the Futurelearn platform

Step 3- Subscribe to the FutureLearn service and start learning

How it helps

The AI Design and Engineering with Microsoft Azure certification benefits include:

It will help you learn the fundamentals of AI and how to use Microsoft Azure, one of the most popular cloud platforms for AI development.
It will provide you with practical skills and hands-on experience in designing and building AI solutions using various Azure services, such as Azure Bot Service, Azure Machine Learning, and Azure Cognitive Services.
It will prepare you for two certification exams that can boost your career prospects and credibility as an AI professional: Microsoft Azure AI Fundamentals (AI-900) and Microsoft Azure AI Engineer Associate (AI-100).

FAQs

Is prior experience in AI or cloud computing required for enrolling in the AI Design and Engineering with Microsoft Azure course?

No, prior experience in AI or cloud computing is not required for this course. It is an introductory-level program designed for beginners as well as professionals who want to learn about AI and Microsoft Azure.

What kind of certification will I receive upon completing the AI Design and Engineering with Microsoft Azure course?

Upon successful completion of the course, you will receive a certification accredited by Microsoft, which validates your skills in designing and engineering AI solutions using Microsoft Azure.

How long does it take to complete the AI Design and Engineering with Microsoft Azure course?

The course duration is approximately 17 weeks. You are expected to dedicate 5-6 hours of study per week to complete the program successfully.

What are the main topics covered in the AI Design and Engineering with Microsoft Azure course?

The course covers five main topics: cloud computing concepts, Python programming, conversational AI with Azure Bot Service, machine learning with Azure Machine Learning, and computer vision solutions for image processing.

Will I gain hands-on experience during the course?

Yes, the course offers practical hands-on experience through various labs, projects, and exercises. You will have the opportunity to apply the concepts learned in real-world scenarios.