1-day instructor-led course
Hands-on labs included
After-course computing sandbox included
After-course coaching available
#4500
Data Management Tools, Machine Learning and AI Training
Course 4500
- Duration: 1 day
- Labs: Yes
- Language: English
- Level: Foundation
In this data management tools, machine learning and AI training, you will gain the foundational knowledge to manage your organization’s data assets and gain value from that data – through data analytics and machine learning to modern AI techniques and learn how modern data management can supply efficient solutions to technical, business, and administrative challenges.
This data management tools, machine learning and AI course includes 6 hours of ILT (Instructor-Led Training) or VILT (Virtual Instructor-Led Training) presented by a real-world expert instructor.
Data Management Tools, Machine Learning and AI Training Delivery Methods
Attend online or bring this course to your facility
Data Management Tools, Machine Learning and AI Training Information
In this machine learning training, you will learn how to:
- Deliver business value using ML, AI, and Data Analytics
- Manage corporate data assets using Data Warehouses and Data Integration
- Explore ML and AI evolution and trends such as ChatGPT
- Define business strategies for Data Management, ML, and AI
- Leverage continued support with after-course one-on-one instructor coaching and computing sandbox
Prerequisites
Before taking this course, attendees should have:
- Working knowledge of Internet and data technologies
- A background in programming and data analysis is not needed.
Data Management Tools, Machine Learning and AI Training Outline
- Evolution of Data Management and Databases
- What are Data Analytics, Machine Learning, and AI; and how do they relate to each other?
- Industry standards and processes for Data Management – CRISP
- Big Data – Volume, Velocity, and Variety
- Analyzing organizational data - what value does it have and how to exploit that
Data Management Platforms
- Hadoop and Spark
- Evolution of Data Management
Data Lakes and Data Warehouses
- Integration of Data Management with Traditional Databases
- NoSQL
- Data Catalogs and Metadata
- Data Pipelines and Data Warehouses
Cloud Tools for Data Management
- Data Warehouses
- Data Analytics
- Serverless Computing
Types of Data
- Categorial Data
- Quantitative Data
- Deriving Features from Data
- Choosing the right Cloud data platforms
Exploratory Data Analysis
- Introduction to Statistics
- Data Exploration
- Introduction to Probability and Applying it in Practice
- Data Distributions
Visualization
- Effective visualization – explaining your data
- Visualization tools and techniques
- Creating engaging presentations
Fundamentals of Machine Learning
- Decision Trees
- Classification
- Clustering
- Regression
Deep Learning, Neural Networks, and Generative AI
- Neural Networks
- Generative AI
- Creating a strategy
- Data Management Best Practices
- Next steps
Speak with a Learning Consultant
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Data Management Tools, Machine Learning and AI Training FAQs
The course has some demonstrations and workbooks with scripts for data analysis and management, but attendees do not have to do any programming (although there are some optional steps to do that for developers).
These are introduced and explained but not covered in depth.
The labs use remote desktops accessed through a browser and include short exercises and demos of data management, data analytics, and machine learning using online open-source/free workbooks and tools.
There are also classroom discussions and exercises that include “how to derive value from data” and “how to store and manage different types of data.”
No. The course uses local/workstation tools and connects to cloud resources that are not vendor-specific.