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Azure AI Services Course

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₹6,000.00
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Overview:

Our Azure ai fundamentals certification course is a comprehensive guide to leveraging Microsoft Azure’s powerful AI capabilities for building intelligent, scalable solutions. This course is designed to empower learners with practical knowledge in machine learning, cognitive services, and AI-powered bots using Azure’s integrated tools and services.
From creating and deploying machine learning models with Azure Machine Learning to implementing advanced features like vision, language, and decision-making services, participants will explore the full spectrum of Azure AI. The course also delves into designing and enhancing intelligent bots with Azure Bot Services and cognitive integrations, making it ideal for developers and professionals looking to build cutting-edge AI applications.
By the end of this course, learners will have the skills to confidently create AI-driven applications that deliver impactful, real-world results across various industries

What You'll Learn

Course Content

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Module 1: Introduction to Azure AI
Module 2: Azure Machine Learning
Module 3: Azure Cognitive Services
Module 4: Azure Bot Services

FAQs

1. What are Azure AI Services, and why should I learn them?

Azure AI Services provide pre-built and customizable AI tools, such as computer vision, natural language processing, and conversational AI, enabling developers to add intelligent features to applications without extensive ML expertise. Learning Azure AI equips you with skills to build scalable and impactful AI-powered solutions.

2. Who should take the Azure AI Services course?

This course is ideal for software developers, AI enthusiasts, data scientists, and IT professionals who want to integrate AI capabilities into their applications using Azure’s cloud-based tools.

3. What will I learn in the Azure AI Services course?

You’ll learn:
Utilizing Azure Cognitive Services for vision, speech, and language tasks.
Building conversational bots using Azure Bot Services.
Developing custom AI models using Azure Machine Learning.
Integrating AI solutions into applications with REST APIs and SDKs.
Ensuring security and compliance in AI-powered applications.

4. How long does it take to complete the Azure AI Services course?

The course is designed to be completed in 2 to 3 weeks, with about 1 hour of study per day. This flexible schedule ensures accessibility for professionals.

5. Are there prerequisites for enrolling in this course?

It is advisable to have a basic understanding of Python programming and cloud computing. Familiarity with machine learning concepts and Azure basics will enhance your learning experience but is not mandatory.

6. Will I work on hands-on projects during the course?

Yes! You’ll complete practical projects, such as:
Building an image recognition application using Computer Vision API.
Developing a chatbot with Azure Bot Services and Language Understanding (LUIS).
Creating text analytics workflows for sentiment analysis.
Deploying a custom AI model using Azure Machine Learning.

7. What tools and platforms will I use in this course?

You’ll gain hands-on experience with:
Azure Cognitive Services for pre-built AI models.
Azure Bot Services for conversational AI development.
Azure Machine Learning for building and deploying custom models.
Integration tools like Azure Functions and Logic Apps for automation.

8. What job prospects are available after I complete this course?

Graduates can pursue roles such as AI Developer, Machine Learning Engineer, AI Consultant, or Azure AI Specialist. Expertise in Azure AI Services is highly sought after in industries adopting intelligent applications.

9. Will I receive a certification after completing the course?

Yes, you’ll earn a course completion certificate. Additionally, this course prepares you for certifications like the Microsoft Certified: Azure AI Engineer Associate, which validates your skills in Azure AI solutions.

10. How does this course differ from other AI courses?

This course focuses specifically on Azure AI Services, combining pre-built models, custom AI workflows, and cloud integration. It’s designed to provide practical, enterprise-level skills for building intelligent applications on Azure.

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