Módulos

This course is designed to provide complete training in artificial intelligence and cloud solutions with Microsoft Azure, covering from the foundations of AI to the implementation of advanced models with Azure OpenAi. This program prepares participants to obtain international certifications:

• Microsoft Certified: Azure ai fundamentals (Ai-900)
• Microsoft Certified: Azure Ai Engineer (AI-102)
• Development of generative with Azure OpenAi (AI-050)
• Additionally, participants will receive free access to the Azure Fundamental course (AZ-900) in offline mode (pre-recorded videos)
• Following the practical Learning Method approach, students will develop practical laboratories, simulations and real projects, ensuring the application of knowledge acquired in a work environment

At the end of the course, participants will be able to:

• Azure ai fundament (Ai-900)
• Describe the workloads and considerations of AI in Azure
• Understand the fundamental principles of automatic learning
• Explore Computer Vision capabilities in Azure
• Understand the processing of natural language (NLP) in Azure
• Configure and manage conversational services
• AZURE AI ENGINER (AI-102)
• Develop applications that analyze text with Cognitive Services
• Create conversational solutions with Microsoft Bot Framework
• Implement personalized computer vision models
• Develop applications that detect and analyze faces
• Configure and optimize knowledge mining solutions in Azure
• Generative with Azure OpenAi (AI-050)
• Configure Azure OpenAi Service and access language models
• Implement generative solutions in business environments
• Use advanced text engineering techniques to improve content generation
• Develop generative AI applications capable of interacting naturally
• Integrate Azure OpenAi Service into different platforms and applications

To participate in this training, attendees must meet the following requirements:

• Basic knowledge of Microsoft Azure equivalent to having performed the Azure Fundamental course (AZ-900)
• Understanding JSON and Rest programming semantics
• Knowledge in programming with C# or Python
• These requirements guarantee that participants can focus on the advanced application of AI in Azure without initial technical difficulties

Learning Methodology

The learning methodology, regardless of the modality (in-person or remote), is based on the development of workshops or labs that lead to the construction of a project, emulating real activities in a company.

The instructor (live), a professional with extensive experience in work environments related to the topics covered, acts as a workshop leader, guiding students' practice through knowledge transfer processes, applying the concepts of the proposed syllabus to the project.

The methodology seeks that the student does not memorize, but rather understands the concepts and how they are applied in a work environment.

As a result of this work, at the end of the training the student will have gained real experience, will be prepared for work and to pass an interview, a technical test, and/or achieve higher scores on international certification exams.

Conditions to guarantee successful results:

• a. An institution that requires the application of the model through organization, logistics, and strict control over the activities to be carried out by the participants in each training session.
• b. An instructor located anywhere in the world, who has the required in-depth knowledge, expertise, experience, and outstanding values, ensuring a very high-level knowledge transfer.
• c. A committed student, with the space, time, and attention required by the training process, and the willingness to focus on understanding how concepts are applied in a work environment, and not memorizing concepts just to take an exam.

Pre-enrollment

You do not need to pay to pre-enroll. By pre-enrolling, you reserve a spot in the group for this course or program. Our team will contact you to complete your enrollment.

Infinity Payments

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- For bank transfer payments, request the details by email capacita@aulamatriz.edu.co.

- If you wish to finance your payment through our credit options
(Sufi, Cooperativa Unimos or Fincomercio), click on the following link:
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