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Description

The Big Data - Machine Learning and AI application development training course is designed for professionals wishing to acquire advanced skills in the field of Big Data and Artificial Intelligence. This 5-day inter-company training program offers a complete immersion in the fundamental concepts, methodologies and tools needed to develop large-scale Machine Learning and AI applications.

Day 1:

  • Introduction to Big Data and Machine Learning and AI applications 
  • Fundamentals of massive data processing 
  • Introduction to the main Big Data tools

Day 2:

  • Machine Learning techniques: Classification and Regression 
  • Practical implementation with concrete examples

Day 3:

  • Machine Learning techniques: Clustering and Deep Learning 
  • Use cases from real Machine Learning projects

Day 4:

  • Introduction to Artificial Intelligence and NLP 
  • Exploration of AI frameworks and NLP libraries

Day 5:

  • Development of AI applications using specific frameworks.
  • Best practices and ethics in Big Data and AI.
  • Case studies and practical projects.

The course is aimed at professionals wishing to deepen their skills in Big Data and the development of Machine Learning and AI applications. Participants should have basic programming skills and a basic understanding of data processing concepts. The course is suitable for developers, engineers, data scientists, data analysts or any other professional profile interested in exploiting Big Data for Artificial Intelligence projects.

  • Basic programming skills (Python, Scala, or similar). 
  • Basic understanding of data processing concepts (e.g. database notions, CSV, JSON, etc.). 
  • Familiarity with basic mathematical concepts (linear algebra, probability) would be a plus, but is not mandatory.
  • Understand the fundamentals of Big Data, its challenges and its applications in various business sectors. 
  • Master the main tools and frameworks used in Big Data, including Hadoop, Spark and Kafka. 
  • Explore the basic concepts of Machine Learning and AI, such as classification, regression, clustering algorithms and neural networks. 
  • Learn how to pre-process data, analyze it, and create Machine Learning models adapted to specific tasks. 
  • Develop programming skills with languages adapted to Big Data, such as Python or Scala. 
  • Understand the ethical challenges and best practices associated with the use of Big Data and AI in the business world.

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