Local AI Agents for Data Analysts

Learn practical applications of local AI agents in data analysis and report automation.

Duration

8h · 1 day

Ask about the program → See all

Who it's for

Ideal for teams that…

1 Data analysts

2 BI specialists working with Power BI

3 Automation and data process engineers

4 People responsible for data quality and testing

Outcomes after the program

Hands-on AI and data analytics workshops — built around your team's real cases.

✓

Automate cyclical reports and generate business narratives using AI

✓

Detect anomalies in data and KPIs and build alert systems

✓

Create workflows automating data quality tests and generating result reports

Requirements

What you should know before we start

Basic knowledge of data analysis and reporting
User-level knowledge of Power BI
Basic knowledge of APIs and workflow automation
Ability to run local AI models (e.g., local environment with Ollama or LM Studio)

Program · 4 modules

What we actually do

M01

Block 1: Automation of cyclical reports and anomaly detection

· Collecting data from sources, calculating KPI metrics
· Generating business narratives using AI (text description of results)
· Automatic anomaly detection and alerting on KPI deviations
· End-to-end workflow in n8n with local Ollama or LM Studio model

M02

Block 2: Power BI – report automation and optimization

· Overview of Power BI API and integration with Python and n8n
· Automatically proposing optimization solutions based on table structure and data (e.g., query and visualization optimization)
· Automatic report refreshing and text insight generation

M03

Block 3: Data test automation based on documentation

· Creating quality and consistency tests for data using AI with documentation and specifications
· Automatic detection of anomalies, gaps, and inconsistencies in data
· Workflow in n8n to automate data tests and generate result reports

M04

Theoretical knowledge (minimum):

· Basics of AI supporting data analysis and reporting
· Mechanisms of local model operation and API integration
· Principles of building workflows with AI agents in the context of data analytics and Power BI

Every module is adapted to your stack and context. The above is a starting point — not a fixed agenda.

How we work

From brief to retro in 30 days.

Brief & diagnosis

A call with the team lead + a short survey for participants. We define goals, gap and context.

Program customization

We adapt modules, case studies and code examples to your stack. Approval in 5 days.

Workshop

Trainer-led sessions, hands-on, code review. Mentor available between sessions too.

Retro + report

Outcome report for the team and lead. 30 days of consulting included.

Inquiry

Send a brief. We'll reply within 1 day.

After a short brief we'll prepare a program and a quote. No obligations — it's just a starting point.

✓Quote within 48h of the brief

✓First session within 30 days

✓Pilot before the full decision

✓VAT invoice, payment in instalments possible

Full name

Company

E-mail

Phone

Team size

What does the team need?

How we handle your data

We process your business data (name, work e-mail, phone number, company, job title) in order to handle your corporate training inquiry and prepare an offer. The data controller is infoShare Academy Sp. z o.o., Al. Grunwaldzka 472B, 80-309 Gdańsk. Providing the data is voluntary but necessary to receive a response. You have the right to access, rectify, erase or restrict the processing of your data and to object to it. Full information is available in our data processing notice.

Optional marketing consents I consent to being contacted for marketing purposes regarding the B2B training offer (e-mail, work phone number) from infoShare Academy Sp. z o.o..

The controller of your personal data is infoShare Academy sp. z o.o. The rules for processing personal data are set out in the Privacy Policy and the Data Processing Notice.

Other programs for teams

See all →