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About the Azure AI Associate Engineer Specialist course
The Azure AI Engineer Associate course is designed for professionals who want to specialize in the development and implementation of artificial intelligence solutions using Microsoft Azure. Throughout the training, you'll learn to work with key services such as Azure Cognitive Services, Azure Bot Service, and Azure Machine Learning to create intelligent and automated applications. This program combines theory and practice, covering everything from AI model design to cognitive services integration and solution monitoring in production. It also prepares you to successfully pass the official AI-102 exam, which validates your skills as an Azure AI Engineer Associate. Upon completion of the course, you'll be ready to design and implement scalable and efficient AI solutions, driving innovation in technology projects across any industry.
Duration:
100 Hours / 1 month
Mode:
On-line
Prerequisites:
Basic knowledge of computers and the Internet
Official Certification
Students gain official registration as technicians in a specific technology, which certifies them to practice their profession internationally. We certify our students worldwide.
- * AI-102 Microsoft Azure AI Engineer Associate
Job opportunities
Certification and training as an Azure AI Associate Engineer position you to fill key roles in the growing field of cloud-based artificial intelligence. You could work as an AI Engineer, AI Solutions Developer, Machine Learning Specialist, or Azure AI Technical Consultant. These profiles are in high demand in sectors such as technology, finance, healthcare, retail, and manufacturing, where automation and advanced data analytics are essential for innovation and continuous improvement.
Through Cloud Talent The school connects you with more than 10,000 companies and generates job interviews and internships tailored to your professional profile. Additionally, the Cloud Talent Program gives you access to other complementary SAP certifications at no cost to enhance your qualifications.
Syllabus
Designing and planning artificial intelligence solutions in Azure
- Requirements analysis and selection of suitable Azure AI services.
- Defining scalable and secure architectures for intelligent applications.
Implementation of computer vision solutions
- Using Azure Cognitive Services for image and video analysis.
- Setting up facial recognition, OCR and visual content analysis.
Development of natural language processing (NLP) solutions
- Integration of services such as Language Understanding (LUIS) and Text Analytics.
- Creating and training models for text analysis and chatbots.
Development of natural language processing (NLP) solutions
- Design and development of bots using Azure Bot Service and Bot Framework.
- Integration with communication channels and personalization of the experience.
Monitoring and optimization of AI solutions
- Performance monitoring with Azure Monitor and Application Insights.
- Version management, testing, and model tuning to improve accuracy and scalability.
Final Project
- Course review.
- Case Study.
Official Certification Seminar
- Preparation of exam-type questions.
Subsidized Training for Companies
Cloud Training as an entity registered with code 16753 in the State Registry of Training Entities, Manages and teaches courses within the Company-Programmed Training initiative, Vocational Training for Employment, in accordance with the provisions of Law 30/2015, of September 9.
Cloud Training helps you check your company's credit amount for this year, free of charge.
