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Training: Designing and Implementing a Microsoft Azure AI Solution (AI-102

Ref. AI-102T00
Duration:
4
 days
Exam:
Optional
Level:
Intermediate

Designing and Implementing a Microsoft Azure AI Solution (AI-102)

Master AI Solutions with the AI-102 Certification

Are you looking to master advanced artificial intelligence (AI) technologies offered by Microsoft Azure? The course AI-102: Designing and Implementing a Microsoft Azure AI Solution is designed for developers eager to create solutions that integrate cutting-edge AI capabilities. This program empowers you to explore Azure AI services such as computer vision, language analysis, and intelligent search.

Built around powerful tools like Azure OpenAI and REST APIs, this course is perfect for those proficient in C# or Python. It combines theory with practical exercises to ensure an in-depth understanding and hands-on application of acquired skills. Join this training and develop your ability to design modern and responsible AI solutions.

Why Choose This Training?

In a rapidly evolving digital landscape, AI solutions are at the forefront of innovation. This course targets professionals who want to enhance their expertise with groundbreaking tools. By completing this training, you’ll gain a competitive edge to tackle current and future technical challenges.

Participant profiles

  • Software developers specializing in AI solutions.
  • Cloud architects aiming to integrate Azure AI services.
  • Digital transformation and AI consultants.
  • Data scientists seeking to leverage Azure AI Services.
  • Machine learning engineers using C# or Python.
  • IT professionals aiming to deploy secure AI solutions.

Objectives

  • Create AI solutions based on Azure AI services.
  • Master the use of REST APIs and Azure AI SDKs.
  • Implement voice recognition and translation models.
  • Deploy AI services in secure containers.
  • Analyze images, videos, and texts using Azure AI tools.
  • Design advanced search solutions with Azure AI Search.
  • Apply best practices for responsible AI.
  • Optimize and monitor costs for Azure AI services.

Prerequisites

  • Knowledge of Microsoft Azure and ability to navigate the Azure portal
  • Knowledge of either C# or Python
  • Familiarity with JSON and REST programming semantics
  • If you are new to artificial intelligence, and want an overview of AI capabilities on Azure, consider completing the Azure AI Fundamentals certification before taking this one

Course content

Module 1: Preparing for AI Solution Development on Azure

  • Define artificial intelligence and its concepts.
  • Understand AI-related terminology.
  • Explore considerations for AI engineers.
  • Understand principles of responsible AI.
  • Discover Azure Machine Learning features.
  • Explore Azure AI and Azure OpenAI services.
  • Understand Azure AI Search capabilities.

Module 2: Creating and Using Azure AI Services

  • Provision an Azure AI services resource.
  • Identify endpoints and keys.
  • Use REST APIs and Azure AI SDKs.

Module 3: Securing Azure AI Services

  • Implement authentication for Azure services.
  • Apply network security measures.

Module 4: Monitoring Azure AI Services

  • Monitor service costs and create alerts.
  • View metrics and manage diagnostic logging.

Module 5: Deploying Azure AI Services in Containers

  • Understand containers for AI services.
  • Use containers to deploy Azure AI services.

Module 6: Using AI Responsibly

  • Discover Azure AI Content Safety.
  • Understand its functionality and applications.

Module 7: Analyzing Images

  • Provision an Azure AI Vision resource.
  • Analyze images using Azure AI Vision.
  • Generate smart thumbnails and remove backgrounds.

Module 8: Classifying Images

  • Provision resources for Azure AI Custom Vision.
  • Understand image classification.
  • Train an image classifier.

Module 9: Detecting Objects in Images

  • Understand object detection.
  • Train an object detector.
  • Explore image labeling options.

Module 10: Detecting, Analyzing, and Recognizing Faces

  • Identify options for face detection and analysis.
  • Detect faces using Azure AI Vision.
  • Understand the Azure Face service.
  • Compare and match detected faces.
  • Implement facial recognition.

Module 11: Reading Text in Images and Documents

  • Explore Azure AI Vision options for reading text.
  • Use the Read API to extract text.

Module 12: Analyzing Video

  • Discover Azure Video Indexer features.
  • Extract custom insights from videos.
  • Use Video Analyzer widgets and APIs.

Module 13: Analyzing Text with Azure AI Language

  • Provision an Azure AI Language resource.
  • Detect language and analyze sentiments.
  • Extract entities and key phrases.

Module 14: Creating Q&A Solutions

  • Create a knowledge base for question answering.
  • Test and publish the knowledge base.
  • Enhance Q&A solution performance.

Module 15: Translating Text with Azure AI Translator

  • Provision an Azure AI Translator resource.
  • Understand language detection, translation, and transliteration.
  • Set up custom translations.

Module 16: Building Voice Applications

  • Use Azure AI Speech-to-Text APIs.
  • Leverage Azure AI Text-to-Speech APIs.
  • Configure audio formats and voice settings.

Module 17: Translating Voice with Azure AI Speech

  • Provision resources for voice translation.
  • Translate and synthesize voice outputs.

Module 18: Advanced Search Solutions

  • Manage components and indexing processes.
  • Enhance indexing with tokenization and analyzers.
  • Configure semantic ranking.

Module 19: Extracting Data from Forms

  • Explore Azure Document Intelligence and predefined models.
  • Train custom models for form data extraction.
  • Assemble composite models for advanced solutions.

Documentation

  • Access to Microsoft Learn, Microsoft’s online learning platform, offering interactive resources and educational content to deepen your knowledge and develop your technical skills.

Lab / Exercises

  • This course provides you with exclusive access to the official Microsoft lab, enabling you to practice your skills in a professional environment.

Exam

  • This course prepares you to the AI-102: Designing and Implementing a Microsoft Azure AI Solution exam.

Complementary courses

Additional information

Take Your Career to the Next Level with AI-102 Certification

The AI-102: Designing and Implementing a Microsoft Azure AI Solution certification is a gateway to mastering advanced artificial intelligence (AI) technologies. As AI becomes a cornerstone of digital transformation, this course empowers professionals to build and deploy intelligent solutions that address real-world challenges. From creating sophisticated search engines to enabling voice recognition, this training ensures you’re prepared to excel in an AI-driven world.

Whether you’re a software developer, data scientist, or cloud architect, AI-102 equips you with the skills to implement AI models that transform how businesses operate. The program is designed with a hands-on approach, ensuring you gain practical expertise while exploring a wide range of Azure AI tools, including Azure OpenAI, Azure Machine Learning, and Azure AI Vision.

Practical Knowledge for Real-World Applications

This certification goes beyond theory, focusing on practical applications that are directly relevant to modern industries. Here’s what you’ll be able to achieve after completing the course:

  • Intelligent Customer Experiences: Use Azure AI Language and Vision tools to build applications that understand user intent and respond effectively.
  • Secure and Scalable Solutions: Leverage Azure’s container technology to deploy AI models with flexibility and security.
  • Automated Document Processing: Utilize Azure Document Intelligence to extract and process data from forms and contracts efficiently.
  • Advanced Search Capabilities: Implement semantic and vector search for more accurate and intuitive information retrieval.
  • Voice-Enabled Applications: Create applications that integrate voice recognition, speech-to-text, and text-to-speech features for enhanced accessibility.
  • Multilingual Solutions: Use Azure AI Translator to break language barriers and reach a global audience.

With such diverse applications, this training ensures you’re equipped to meet the needs of businesses across industries, from healthcare and finance to retail and logistics.

Why Responsible AI Matters

One of the standout features of this certification is its focus on responsible AI. As organizations increasingly adopt AI technologies, ethical considerations become essential. The AI-102 course emphasizes the importance of designing systems that respect privacy, ensure fairness, and maintain transparency. You’ll learn to identify biases in AI models, protect user data, and comply with regulations like GDPR.

By prioritizing responsible practices, you’ll not only build better solutions but also gain the trust of stakeholders and end-users. This knowledge is especially valuable in industries where data sensitivity and ethical compliance are critical.

Master Cutting-Edge Technologies

With AI-102, you’ll explore some of the most advanced technologies in artificial intelligence, including:

  • Azure OpenAI: Develop generative AI applications that mimic human-like responses and behaviors.
  • Search Optimization: Enhance user experience with advanced indexing, tokenization, and semantic ranking techniques.
  • Video Analysis: Use Azure Video Indexer to extract insights and metadata from video content.
  • Custom AI Models: Train and deploy tailored solutions using Azure Machine Learning and Document Intelligence.

These tools allow you to create solutions that are not only intelligent but also adaptable to a wide range of use cases. By integrating these technologies into your skill set, you’ll stay ahead in the competitive AI landscape.

FAQ: Frequently Asked Questions

Who is this course for?

It’s ideal for developers, cloud architects, and data scientists familiar with Python or C# who want to deepen their AI expertise.

What are the prerequisites?

Basic programming knowledge, understanding of REST APIs, and familiarity with AI concepts are recommended.

Does this course include hands-on exercises?

Yes, each module includes practical activities to apply what you’ve learned.

What tools will I use?

You’ll work with Azure AI Services, OpenAI, and advanced SDKs, among others.

How does this course prepare me for the future?

It equips you with cutting-edge skills to design ethical, scalable, and efficient AI solutions that meet modern business needs.

Join the Future of AI Innovation

The AI-102 certification is your stepping stone to becoming an AI expert. This training not only builds technical expertise but also empowers you to lead AI projects that make a difference. Whether you’re looking to enhance your career or contribute to groundbreaking innovations, AI-102 provides the tools and knowledge you need to succeed. Start your journey today and take the first step towards mastering the future of AI.

Prix de l'inscription
CHF 3'000.-
Inclus dans ce cours
  • Training provided by a certified trainer
  • 180 days of access to Official Microsoft Labs
  • Official documentation in digital format
  • Official Microsoft achievement badge
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