Ethics, Laws and Implementing an AI Solution on Microsoft Azure

CloudSwyft Global Systems, Inc via Futurelearn

Intermediate

Online

14 Weeks

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
                                

Microsoft Future Ready: Ethics and Law in Data and Analytics

Course Introduction

About this Course
Data's Ethical Foundations
Data's Legal Foundations
Ethical Data Practice
CloudSwyft Hands-On Learning: Lab Check 1
Wrapping Up the Week

Data - Individuals, Society and Business Ethics

CloudSwyft Hands-On Learning: Lab Check 2
Data Bias and Identity
Data Privacy and Power
Business and Ethical Data Use
Wrapping Up the Week

Data - Business Law, A.I. and Future Opportunities

Business and Data Privacy
CloudSwyft Hands-On Learning: Lab Check 3
AI and Design
XAI
CloudSwyft Hands-On Learning: Lab Check 4
Course Wrap-Up

Microsoft Future Ready: Data Science Research Methods Using Python Programming

Course Introduction

About this Course
The Research Process
The Psychology of Providing Data
CloudSwyft Hands-On Lab 1
Planning for Analysis
Wrapping up the Week

Research Claims, Measurement and Correlation and Experimental Design

Power and Sample Size Planning
Research Practices
CloudSwyft Hands-On Lab 2
Frequency Claims
Association Claims
Causal Claims
CloudSwyft Hands-On Lab 3
Wrapping Up the Week

Measurement, Correlational and Experimental Design

Survey Design and Measurement
Reliability and Validity
CloudSwyft Hands-On Lab 4
Bivariate and Multivariate Designs
Between and Within Groups Experimental Designs
Factorial Designs
CloudSwyft Hands-On Lab 5
Wrapping Up the Course

Microsoft Future Ready: Principles of Machine Learning with Python Programming

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

Microsoft Future Ready: Designing and Implementing an Azure AI Solution

Course Introduction

About this Course
Overview of Azure Cognitive Services
Azure Cognitive Service Accounts
Introduction to Bots
Wrapping up the week

Introducing Language Understanding

Bot Framework and the Bot Emulator
CloudSwyft Labs
Introducing Language Understanding
Building Intents, Utterances and Entities
Language Understanding and AI Applications
CloudSwyft Labs and Wrapping up the week

QnA Maker, Knowledge Bases and Cognitive Services for Bot Interactions

Introducing the QnA Maker
Implementing a Knowledge Base with QnA Server
Understanding Cognitive Services for Bot Interactions
CloudSwyft Lab and Wrapping up the Course

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Ethics, Laws and Implementing an AI Solution on Microsoft Azure

Intermediate

Online

14 Weeks

Quick Facts

Course and certificate fees

certificate availability

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The syllabus

Microsoft Future Ready: Ethics and Law in Data and Analytics

Course Introduction

Data - Individuals, Society and Business Ethics

Data - Business Law, A.I. and Future Opportunities

Microsoft Future Ready: Data Science Research Methods Using Python Programming

Course Introduction

Research Claims, Measurement and Correlation and Experimental Design

Measurement, Correlational and Experimental Design

Microsoft Future Ready: Principles of Machine Learning with Python Programming

Introduction to Course and Machine Learning

Data Exploration & Preparation

Regression & Classification

Principles & Techniques of Model Improvement

Machine Learning Algorithms & Unsupervised Learning

Microsoft Future Ready: Designing and Implementing an Azure AI Solution

Course Introduction

Introducing Language Understanding

QnA Maker, Knowledge Bases and Cognitive Services for Bot Interactions

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