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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- Availability:
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- Delivery time:
- Ordered before 5 p.m.! Start today.
- Award Winning E-learning
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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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