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.
Duration: 1 days
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
Schedule
| Name | Date | Location | |
|---|---|---|---|
| AI-Driven Data Automation | 2025-05-28 | Online | |
| AI-Driven Data Automation | 2025-10-23 | Online | |
| AI-Driven Data Automation | 2025-12-11 | Online |
Data Integration Data Automation Artificial Intelligence AI Copilot ChatGPT Excel 365 Excel Microsoft Excel Vibe Coding