Building Intelligent Applications with AI and ML - Level 2 Training in France

  • Delivery Method: Online Instructor-Led / Classroom Based / Onsite
  • Participation Model: Public Training / Private / In-House Training
  • Duration: 2 Days
  • Price: From €1,900 +TAX
  • Upcoming Date:
  • UK & France Based Global Training Provider
Learn Deep Learning concepts and concepts of NLP with this intermediate AI course.

Most intelligent applications involve using huge quantities of data in various formats. Deep learning and linguistics are widely becoming a part of intelligent applications in every field. Natural Language processing is one of the broadly applied areas of machine learning to effectively analyze massive quantities of unstructured, text-heavy data. Intelligent applications using NLP include models that analyze speech and language, uncover contextual patterns, and provide insights from text and audio.

This course focuses on covering deep learning concepts required to understand NLP and then focuses on introducing you to the concepts of NLP slowly taking you to basic and advanced NLP models for text processing, analytics, and building applications using NLP.



Is This The Right Course?

  • Basic familiarity with Python programming.
  • Basic understanding of Data Terminologies.
  • Familiarity with enterprise IT.
  • Foundational knowledge in mathematical concepts like linear algebra and probability
  • Basic Linux skills
  • Basic SQL skills
  • Should have attended 'Building Intelligent Applications with Artificial Intelligence (AI) and Machine Learning (ML) Level 1

Who Should Attend?

This is an Intermediate-level hands-on course suitable for everyone who wants to explore the field of Artificial Intelligence (AI) and Machine Learning (ML). This course covers Deep Learning concepts, Natural Language Understanding and Natural Language Processing, Text Analytics and identifying customer/user sentiment in the available data. This is a level 2 course in building your skills for developing Intelligent applications using Machine Learning and Artificial Intelligence. Anyone who wants to shift their career to AI and ML and who attended Level 1 course can attend this course such as

  • Business Analysts
  • Data Analysts
  • Developers
  • Administrators
  • Architects
  • Managers

Prerequisites

  • Basic familiarity with Python programming.
  • Basic understanding of Data Terminologies.
  • Familiarity with enterprise IT.
  • Foundational knowledge in mathematical concepts like linear algebra and probability
  • Basic Linux skills
  • Basic SQL skills
  • Should have attended 'Building Intelligent Applications with Artificial Intelligence (AI) and Machine Learning (ML) Level 1

What You Will Learn

  • Understand the basics of Deep Learning
  • Understand Convolutional Neural Networks, their architectures and their applications.
  • Understand Recurrent Neural Networks, their architectures and their applications
  • Understand the basics of Natural Language Processing.
  • Understand various NLP Libraires
  • Understand and perform Text Analytics
  • Apply NLP techniques to predict customer sentiment
  • Dealing with Real-World data

Training Outline

  1. Deep Learning Essentials
    • Understanding Neural Networks, Artificial Neural Network, Perceptron concepts
    • Understanding activation functions and why they are important?
    • Understanding Convolutional Neural Networks
    • CNN Architectures
    • CNN applications
    • Understanding Recurrent Neural Networks
    • RNN Architectures
    • RNN Applications
    • Natural Language Processing
      • Foundations of NLP
      • Various NLP Libraries
      • Understand NLP concepts like Morphology, Lemmetization, Stemming, Part-of-Speech tagging
      • Understanding Text Analytics
      • Performing Text Analytics with a case study
    • Natural Language Processing with Deep Learning
      • Applications of Deep Learning in NLP
      • Deep Learning Libraries for building NLP applications
      • Word Embeddings
      • Identifying Sentiments in Customer Reviews - case study
  2. Advanced NLP Models
    • Understand and Differentiate between LSTMs, GRUs, GPT Models
    • Understand Sequence to Sequence Models
    • Understand Attention Models
    • Understand Transformer Models
    • A Deep Dive into Machine Translation using NLP
    • Building a real-world End-End NLP Application
      • Data Gathering
      • Data Cleaning and Pre-processing
      • Building and evaluating NLP Models
    • GUI and REST APIs
      • Building UI for your Machine Learning Models
      • Building a REST API for your Models

Why Choose Us

Experience Building Intelligent Applications with AI and ML - Level 2 in France through Bilginç IT Academy's live and interactive virtual classroom environment. Join a Public course as an individual delegate or arrange a dedicated Private / In-house online training program exclusively for your organization.

  • Delivery Method: Online Instructor-Led
  • Participation Model: Public / Private (In-house)
  • Live and Interactive Training: Connect with your instructor in real time and actively participate through discussions, Q&A sessions, practical exercises, and group activities.
  • Flexible Participation: Join the training from your home, office, or any location with a suitable internet connection.
  • Expert Trainer Network: Learn from experienced trainers with strong industry backgrounds and practical field expertise.
  • Over 30 Years of Training Expertise: Benefit from Bilginç IT Academy's professional training experience since 1995.
  • Worldwide Access: Join our live virtual classrooms from France or anywhere else in the world, or arrange a dedicated online training program for your organization.

Experience Building Intelligent Applications with AI and ML - Level 2 through face-to-face Classroom Based training in France. Training can be delivered as a Public course open to individual delegates or as a dedicated Private / In-house class for your organization.

  • Delivery Method: Classroom Based
  • Participation Model: Public / Private (In-house)
  • Face-to-Face Learning: Interact directly with your instructor and fellow delegates in an engaging classroom environment.
  • Experienced Trainers: Learn from specialists with extensive industry experience and practical real-world knowledge.
  • Professional Training Environment: Attend training in comfortable, well-equipped classrooms designed to support effective learning.
  • Practical Learning: Depending on the course, reinforce your knowledge through hands-on exercises, scenarios, case studies, and instructor-led activities.

Arrange Building Intelligent Applications with AI and ML - Level 2 in France as a dedicated Onsite training program for your organization. Bilginç IT Academy trainers can deliver the training at your office or another location of your choice, with the program planned around your team's requirements and business objectives.

  • Delivery Method: Onsite
  • Participation Model: Private (In-house)
  • Training at Your Preferred Location: Organize the training at your company's office or another location selected by your organization.
  • Tailored Course Content: Adapt the training program to your projects, team structure, existing skill levels, and specific business requirements.
  • Team-Focused Learning: Develop your team around a shared knowledge base while strengthening internal collaboration and knowledge transfer.
  • Flexible Scheduling: Plan the training dates, location, and program according to your organization's operational requirements.
  • Worldwide Onsite Delivery: Arrange the training in France or at another preferred location worldwide. Bilginç IT Academy trainers can travel to your selected location to deliver the dedicated training program.


Contact us for more detail about our trainings and for all other enquiries!

Building Intelligent Applications with AI and ML - Level 2 Training Course in France Schedule

Join our public courses in our France facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

We can organize this training at your preferred date and location.
09 octobre 2026 (2 Days)
Paris, Lyon, Toulouse, Marseille
€1,900 +TAX
10 octobre 2026 (2 Days)
Paris, Lyon, Toulouse, Marseille
€1,900 +TAX
16 octobre 2026 (2 Days)
Paris, Lyon, Toulouse, Marseille
€1,900 +TAX
03 novembre 2026 (2 Days)
Paris, Lyon, Toulouse, Marseille
€1,900 +TAX
06 novembre 2026 (2 Days)
Paris, Lyon, Toulouse, Marseille
€1,900 +TAX
12 novembre 2026 (2 Days)
Paris, Lyon, Toulouse, Marseille
€1,900 +TAX
20 novembre 2026 (2 Days)
Paris, Lyon, Toulouse, Marseille
€1,900 +TAX
22 novembre 2026 (2 Days)
Paris, Lyon, Toulouse, Marseille
€1,900 +TAX

France stands as a cornerstone of European industrial innovation, with Paris and Lyon serving as premier global hubs for aerospace, automotive technology, and high-end digital startups. The French tech ecosystem, famously supported by the 'La French Tech' initiative, thrives on the research excellence of institutions like Sorbonne University and École Polytechnique. As a leader in sustainable energy software and sophisticated telecommunications, France offers a highly competitive landscape for advanced professional development. Our IT training programs in France are designed to meet these elite standards, focusing on Cloud Computing, Cybersecurity, and Data Science certifications. We empower professionals across the Republic to lead digital transformation projects within a diverse economy that is consistently pushing the boundaries of engineering and artificial intelligence.

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