Azure AI-3003 Training Course – Developing Natural Language Processing (NLP) Solutions

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GOOD TO KNOW

This training course includes many exercises (60% practice) for better learning. Sessions are guaranteed from 1 registered participant (except in cases of force majeure). A preliminary interview takes place between the participant and/or a company representative to properly account for the participant’s profile (level, needs, professional context, challenges…).
Assessment: during the training, the trainer evaluates the pedagogical progress of participants through MCQs, role-play scenarios and practical exercises. Participants receive a certificate of skills validation at the end of the training.

This training course is part of our Artificial Intelligence Training Courses. Explore our other AI training courses to fully leverage machine learning, LLMs and generative AI.

Objectives of the Azure AI-3003 Training Course

Upon completion of the training, the participant will be able to:

• Understand the fundamentals of natural language processing (NLP) and its use cases in modern applications.
• Design and deploy solutions based on Azure AI Language to analyse and exploit textual data.
• Implement features such as sentiment analysis, entity detection and text classification.
• Create conversational models capable of interacting with users through intelligent interfaces.
• Integrate NLP services into cloud applications via REST API and SDK.
• Apply best practices in responsible AI, security and data governance.

Prerequisites

• Programming experience (Python or C# recommended).
• Understanding of fundamental cloud concepts and the Azure portal.
• General knowledge of artificial intelligence or machine learning (a plus).
• Because each participant is unique, a personalised interview with our expert allows us to design a training course perfectly aligned with their objectives, level and professional challenges.

Target Audience

• Developers, AI engineers and data engineers wishing to integrate NLP capabilities into their applications.
• Cloud architects and technical consultants working on artificial intelligence solutions.
• IT professionals involved in automating the processing of textual or conversational data.