AI & Data

Big Data Analysis Training with AI Tools

Dive into the world of Big Data and explore advanced data analysis techniques powered by artificial intelligence.

Duration
6h
Who it's for

Ideal for teams that…

1 Data analysts who want to work with large datasets and apply advanced analysis tools.
2 IT specialists who want to expand their competencies in Big Data and AI.
3 Technology project managers seeking knowledge about Big Data opportunities for business strategies.
4 Professionals in industries such as e-commerce, finance, or manufacturing, where Big Data analysis supports company growth.
Outcomes after the program

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

Processing and analyzing large datasets with Apache Spark.

Building AI models for predictive analysis and pattern detection in Big Data.

Designing interactive dashboards and reports for large datasets.

Implementing Big Data projects in a cloud environment integrated with AI.

Program · 3 modules

What we actually do

M01
Day 1: Introduction to Big Data and Artificial Intelligence
  • · Introduction to Big Data architecture – Hadoop, Apache Spark, distributed processing
  • · Challenges in analyzing large datasets: scalability, performance, data variety
  • · Applying AI in Big Data – predictions, pattern recognition
  • · Overview of AI tools: TensorFlow, PyTorch, MLlib, AutoML
M02
Day 2: Data Processing with Apache Spark and AI
  • · Workshop: building a data pipeline in Apache Spark (batch and stream processing)
  • · Performance optimization: data partitioning and distributed memory usage
  • · Implementing AI models in Spark MLlib – classification and regression case study
  • · Workshop: training a predictive model on a large dataset
M03
Day 3: Visualization, Analysis, and Practical Implementation
  • · Creating dynamic reports with Power BI, Tableau, and Python (Seaborn, Plotly)
  • · Workshop: designing interactive dashboards for large dataset analysis
  • · Case studies: demand forecasting, user behavior analysis, business process optimization
  • · Workshop: implementing a complete Big Data analysis project – from data processing to interpreting results
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.

01

Brief & diagnosis

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

02

Program customization

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

03

Workshop

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

04

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

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