Item number: 143553750

AI and ML for Decision-makers Training

Item number: 143553750

AI and ML for Decision-makers Training

198,00 239,58 Incl. tax

AI and ML for Decision-makers E-Learning Training Gecertificeerde docenten Quizzen Assessments Tips Tricks Certificate.

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AI and ML for Decision-makers E-Learning

Data science methods are used across several industries to deliver value to businesses. Machine learning (ML) is a data science method that uses prediction algorithms that find patterns in massive amounts of data, allowing machines to predict future results and make decisions with minimal human intervention. Artificial intelligence (AI) provides cutting-edge tools to help organizations predict behaviors, identify key patterns, and drive decision-making in a world that is increasingly made up of data.

This Learning Kit with more than 6:10 hours of learning is divided into three tracks:

Track 1: Fundamentals of AI and ML

Courses (1½ hour +):

Fundamentals of AI & ML: Foundational Data Science Methods

Course: 34 Minutes

Course Overview
Machine Learning (ML)
Clustering
Evaluation of Clustering Algorithm Accuracy
Classification
Evaluation of Classification Model Accuracy
Regression
Simple Linear Regression
Multiple Linear Regression
Machine Learning Challenges
Course Summary

Fundamentals of AI & ML: Advanced Data Science Methods

Course: 27 Minutes

Course Overview
Text Mining
Evaluate Text Mining Accuracy
Graph Analysis
Anomaly Detection
Novelty Detection
Association Rule Mining
Neural Networks
Course Summary

Fundamentals of AI & ML: Introduction to Artificial Intelligence

Course: 42 Minutes

Course Overview
What is Artificial Intelligence (AI)?
What Can AI Do?
How AI Works: Data
How AI Works: Tools and Technologies
Artificial Intelligence Life Cycle
Data Science Process: Ask
Data Science Process: Research
Data Science Process: Model, Validate, and Test
Data Science Process: Interpret
Course Summary

Track 2: Developing an AI/ML Data Strategy

Courses (1½ hours +)

Developing an AI/ML Data Strategy: The Data Analytics Maturity Model

Course: 39 Minutes

Course Overview
Data Analytics Maturity Model6
Analytics Maturity Model Categories
Data Governance
Emerging Trends in Data Analytics
Data Storage Tools
Data Cleaning and Analysis Tools
Data Collaboration and Visualization Tools
Data Tool Selection
Course Summary

Developing an AI/ML Data Strategy: Building an AI-powered Workforce

Course: 29 Minutes

Course Overview
Artificial Intelligence (AI) in the Workforce
Data Science Team Structures
Hiring vs. Contracting vs. Training Data Teams
Data Team Roles
Data-driven Culture and AI Strategy
Move toward a Data-driven Culture
Course Summary

Developing an AI/ML Data Strategy: Data Analytics & Data Ethics

Course: 38 Minutes

Course Overview
Data Science Ethics
Considerations for Adopting AI/ML
Data Bias Creation, Types, and Reduction
Key Principles of Data Ethics
Artificial Intelligence (AI) and Data Ethics
Data Ethics Examples
Course Summary

Track 3: Visualizing Data for Impact

Courses (1½ hours +)

Visualizing Data for Impact: Introduction to Data Visualization

Course: 27 Minutes

Course Overview
Examples and Use Cases of Data Visualization
Data Visualization Charts and Graphs Part 1
Data Visualization Charts and Graphs Part 1
Know Your Audience
Choose the Right Visualization
Select Visualization Tools
Course Summary

Visualizing Data for Impact: Visual Design Theory

Course: 27 Minutes

Course Overview
Visual Design
Use Contrast and Position
Size and Group Items
Add Legends, Arrange Items, and Address Gaps
Color Usage in Visualizations
Course Summary

Visualizing Data for Impact: Data Storytelling

Course: 28 Minutes

Course Overview
What Is Data Storytelling?
Refine Your Insight
Tailor to Your Audience
Outline Around the Insight
Plot with a Storyboard
Format a Story for Delivery
Course Summary

Visualizing Data for Impact: Analyzing Misleading Visualizations

Course: 27 Minutes

Course Overview
Common Data Visualization Mistakes
Issues with Color and Chart Selection
Misleading Statistics
Visual Distortions
Deceiving Graphs
Data Omission and Misleading Visualizations
Course Summary

Track 4: Cloud Computing and MLOps in AI/ML

Courses (1½ hours +)

Cloud Computing and MLOps: Cloud and AI

Course: 46 Minutes

Course Overview
Cloud Computing in AI
The Benefits and Challenges of Cloud Computing
Cloud AI Strategy Implementation
The Architecture of Cloud Computing
AI as a Service (AIaaS)
Data Management and Governance Cloud AI Tools
AI in Cloud Security
Key Cloud Technologies for AI
Future Trends for Cloud Computing and AI
Course Summary

Cloud Computing and MLOps: Introduction to MLOps

Course: 36 Minutes

Course Overview
What Is XOps?
Version Control
Types of Version Control
Version Control Tools
What Is MLOps?
Benefits MLOps
What Is DataOps?
Benefits and Use Cases of DataOps
DataOps Pipeline Elements
The Role of Humans in ML Pipeline Automation
MLOps Ethical Concerns
Course Summary

Cloud Computing and MLOps: ML Pipelines

Course: 26 Minutes

Course Overview
What Are ML Pipelines and Why Are They Needed?
Manual Pipelines
Automated Pipelines
ML Pipeline Preparation and Build Best Practices
Development, Staging, and Production Environments
CI/CD Pipelines
Use Cases for CI/CD
Testing ML Pipelines
ML Pipeline Testing Tools and Frameworks
Course Summary

Assessment:

Final Exam: AI and ML for Decision-makers

Language	English
Qualifications of the Instructor	Certified
Course Format and Length	Teaching videos with subtitles, interactive elements and assignments and tests
Lesson duration	6:07 Hours
Assesments	The assessment tests your knowledge and application skills of the topics in the learning pathway. It is available 365 days after activation.
Online Virtuele labs	Receive 12 months of access to virtual labs corresponding to traditional course configuration. Active for 365 days after activation, availability varies by Training
Online mentor	You will have 24/7 access to an online mentor for all your specific technical questions on the study topic. The online mentor is available 365 days after activation, depending on the chosen Learning Kit.
Progress monitoring	Yes
Access to Material	365 days
Technical Requirements	Computer or mobile device, Stable internet connections Web browsersuch as Chrome, Firefox, Safari or Edge.
Support or Assistance	Helpdesk and online knowledge base 24/7
Certification	Certificate of participation in PDF format
Price and costs	Course price at no extra cost
Cancellation policy and money-back guarantee	We assess this on a case-by-case basis
Award Winning E-learning	Yes
Tip!	Provide a quiet learning environment, time and motivation, audio equipment such as headphones or speakers for audio, account information such as login details to access the e-learning platform.

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