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Artificial intelligence Design and Engineering with Microsoft Azure
Learn to design and engineer AI solutions using Microsoft Azure while enrolled in the AI Design and Engineering with Microsoft Azure online course.
Beginner
Online
17 Weeks
Quick facts
particular | details | ||
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Medium of instructions
English
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Mode of learning
Self study
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Mode of Delivery
Video and Text Based
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Learning efforts
5-6 Hours Per Week
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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.
The highlights
- Approx. 17 Weeks To Complete
- Certification accredited by Microsoft
- Access to Career Opportunities
- 100% online
- Introductory Level Course
Program offerings
- Certification
- Microsoft azure training
- Experttrack specialisation format
- Practical application
- Hands-on experience
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
certificate providing authority
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
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
Who it is for
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–
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
The syllabus
Mastering Cloud Computing for AI: How to Use Microsoft Azure
Course Introduction
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
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
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.
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.
The course duration is approximately 17 weeks. You are expected to dedicate 5-6 hours of study per week to complete the program successfully.
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.
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.
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