AI-Driven Data Automation

Course Description

In an increasingly data-driven world, automation is key to improving efficiency, reducing errors, and accelerating decision-making. AI-Assisted Data Automation is designed to help professionals automate data collection, processing, and reporting using a combination of PowerQuery, VBA, command-line tools, task scheduling, and AI-powered scripting. This course will take you step by step through automating repetitive data tasks, such as retrieving data from multiple sources, cleaning and transforming datasets, and generating reports on a schedule. You’ll explore VBA for Excel automation, PowerQuery refresh automation, file handling via command-line scripting, and AI-driven enhancements to make your workflows smarter and more efficient. By the end of this course, you’ll be able to build fully automated workflows that streamline data integration, minimize manual effort, and leverage AI to optimize your automation processes. Whether you're a business analyst, data professional, or automation enthusiast, this course will equip you with the tools and techniques to take your data automation skills to the next level.
1 day
€450.00
 

Pre-requisites

Participants should have attended our Smart Data Integration with AI course or have equivalent knowledge.

Who should attend

Data Analysts & BI Professionals – Automate data prep and improve efficiency.
Business & Financial Analysts – Clean and integrate data for better insights.
Excel & PowerQuery Users – Enhance workflows with AI-driven automation.
IT & Data Engineers – Streamline data integration from multiple sources.
Marketing & Sales Analysts – Optimise data for reporting and forecasting.
Anyone Handling Large Data Sets – Reduce manual work and improve accuracy.

Key Learning Outcomes

Understand AI in Data Automation – Learn how AI enhances data collection, transformation, and reporting.
Leverage PowerQuery for Automation – Connect, transform, and refresh data from multiple sources automatically.
Automate Data Workflows – Build end-to-end automation using PowerQuery, VBA, Python, and command-line tools.
Use Power Automate for ETL – Set up scheduled data refreshes and integrations.
Master VBA for Excel Automation – Automate workbook operations, data updates, and reporting tasks.
Implement AI-Assisted Scripting – Use AI to generate, debug, and optimize automation scripts.
Automate File & System Operations – Schedule tasks, handle files, and execute system commands for efficiency.
Enhance Data Processing with Python – Use Python for API data extraction, preprocessing, and anomaly detection.
Improve Error Handling – Set up AI-powered logging and debugging for automated processes.
Develop Real-World Automation Workflows – Apply automation techniques to streamline business and data operations.

Introduction to AI-Powered Data Automation

The role of AI in automating data workflows
Overview of tools: PowerQuery, VBA, Python, Command-Line, Power Automate
No-Code vs. Low-Code vs. Full-Code automation

End-to-End AI-Assisted Automation – Practical Implementation

Participants build a full automation workflow:
Get data from a range of sources
Transform it using PowerQuery
Automate processing with VBA/Python
Generate and send automated reports

Data Acquisition & AI-Assisted Extraction

Traditional & AI-Assisted Data Extraction Techniques
CSV Files - Handling Large Datasets, AI for Format Detection
Excel Spreadsheets
Database Connections - SQL Query Optimisation with AI
Private Websites - Authentication & AI-Assisted Crawling
Web API - AI-Assisted API Querying & Response Parsing
Public Websites - Web Scraping & AI for Automatic Table Extraction

PowerQuery for Data Collection & Transformation

Connecting PowerQuery to multiple data sources (Excel, SQL, APIs)
Web scraping & JSON parsing with PowerQuery
AI-driven data transformation techniques
Hands-on Activity: Extract and clean data from an API using PowerQuery
PowerQuery refresh automation (on open, scheduled)
Handling errors in automation
Power Automate for data refresh & ETL
Hands-on Activity: Set up an automated data refresh using PowerQuery & Power Automate

Automating File Operations & System Commands

Task Scheduler for background automation
Command-line scripting for file handling (batch scripts, automated downloads)
AI-powered error logging
Automate file retrieval and logging with a script

Advanced Data Automation Techniques

Running SQL queries via command line
Python for AI-enhanced automation (data collection, preprocessing)
AI-powered data anomaly detection
Hands-on Activity: Automate API-based data extraction using Python
Data IntegrationData AutomationArtificial IntelligenceAICopilotChatGPTExcel 365ExcelMicrosoft ExcelVibe Coding