Big Data Analysis with AI Tools Training

InfoShare Academy is a leading IT academy offering comprehensive educational programs in new technologies for companies. Since 2015, we have supported organizations in developing technology teams through dedicated courses in Machine Learning, DevOps, Data Engineering, Python, UX/UI Design, AWS, and Kubernetes. Our training is based on practical skills and real business cases. We collaborate with over 300 industry practitioners, ensuring that our programs are tailored to current market needs. We specialize in reskilling and upskilling employees. With us, you will build effective teams implementing new technologies that accelerate innovation and strengthen your company's competitiveness in the market. Check out our training offerings designed for companies, created to enhance your employees' competencies in the IT field.

Dive into the world of Big Data and learn advanced data analysis techniques supported by artificial intelligence. During this 3-day training, you will discover how to use tools such as Apache Spark, Python, and cloud platforms for processing and analyzing large datasets. With 80% practical workshops, you will gain skills that will help you fully leverage the potential of Big Data, optimize analytical processes, and draw valuable insights to support your business decisions.

• Data analysts who want to work with large datasets and apply advanced analysis tools.
• IT specialists looking to expand their competencies in Big Data and AI.
• Technology project managers seeking knowledge about Big Data opportunities for business strategies.
• Individuals working in industries such as e-commerce, finance, and manufacturing, where large data analysis supports business development.

• You will learn:
• Processing and analyzing large datasets using Apache Spark.
• Creating 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 with AI integration.

Day 1: Introduction to Big Data and Artificial Intelligence

1. Basics of Big Data

• Introduction to Big Data architecture – what Hadoop, Apache Spark, and distributed processing are

• Discussion of challenges related to analyzing large datasets (scalability, performance, data diversity)

2. AI in Data Analysis

• Application of artificial intelligence in Big Data – from prediction to pattern detection

• Overview of AI tools: TensorFlow, PyTorch, MLlib, and AutoML

Day 2: Data Processing with Apache Spark and AI

3. Real-time data processing

• Workshop: building a data pipeline in Apache Spark (batch and stream processing)

• Performance optimization – data partitioning and using distributed memory

4. Integration with AI tools

• Implementation of AI models in Spark MLlib – case study with classification and regression

• Workshop: training a predictive model on a large dataset

Day 3: Visualization, Analysis, and Practical Implementations

5. Data Visualization with Big Data

• Creating dynamic reports using Power BI, Tableau, and Python (Seaborn and Plotly libraries)

• Workshop: designing interactive dashboards for analyzing large datasets

6. Application of Big Data in practice

• Analysis of use cases (case studies): demand prediction, user behavior analysis, optimization of business processes

• Workshop: implementation of a complete Big Data analysis project – from data processing to result interpretation

24 h/3 days

• Certificate of completion
• Monthly access to the training recording (in case of online format)
• Customization of the training program to client needs