BEST Azure AI-102 Certification Training Institute in Trivandrum | Join Emigo

Microsoft AI-102 Training and Certification Institute in Trivandrum

Upskill with our Microsoft AI-102 Training in Trivandrum and secure an AI developer position in a reputable company.

Microsoft AI-102 Training Institute in Trivandrum - Online and Offline

Earn the important Azure AI certification at our Microsoft AI-102 Training Institute in Trivandrum and advance to industry-relevant professions such as Azure AI Engineer or AI Developer.   Emigo provides a customized Azure AI 102 learning path that teaches you how to design and deploy AI solutions using Azure Cognitive Services, Azure Cognitive Search, Azure OpenAI in the right domains, and Bot Services.   This institute offers both  Microsoft AI 102 online training and offline coaching, as well as study materials that are current and applicable to real-world corporate applications.   Emigo's qualified trainers will guide you through exam patterns with expert coaching and hands-on, scenario-based learning.   With enterprises rapidly adopting cloud AI across IT, healthcare, finance, and retail, the need for certified Azure AI expertise is growing. So join Emigo Network Experts and gain the rewards like globally recognised skills and expand job opportunities in top firms.

Why Choose the Microsoft AI-102 Training Course in Trivandrum?

Thiruvananthapuram is one of the popular capital states in the country with numerous IT centers having hundreds of successful IT businesses. As this location is growing, there are associated job chances. Taking advantage of the Microsoft AI-102 Training Course in Thiruvananthapuram might help you get employment in the state and throughout the world.  Emigo's Microsoft AI-102 online course training is aimed for remote students who want to gain real-world experience building Azure AI solutions.  We also offer offline courses for those looking for classroom training.  Our AI-102 training program, which includes Emigo certified trainers and lab-based workshops, covers topics such as creating and running Azure AI systems, implementing vision and NLP solutions, knowledge mining, and conversational AI.  Our AI 102 course includes organized coaching, mock examinations, and real-world lab experience to help you pass and utilize your skills on the job.

Key Learning Outcomes

The Microsoft AI-102 course increases your ability to create and deploy Azure AI solutions that meet Microsoft standards.  We provide the best Microsoft AI-102 certification training course, allowing you to gain real experience in developing, implementing, and supporting intelligent systems.  Here are the major results that students achieve:

  • Design and implement AI solutions using Microsoft Azure tools and services.
  • Integrate Azure Cognitive Services for vision, speech, and language capabilities.
  • Build, train, and deploy machine learning models using Azure Machine Learning.
  • Implement natural language processing (NLP) solutions for conversational AI.
  • Develop computer vision applications using Azure Vision APIs.
  • Integrate AI solutions with Azure Bot Service for intelligent chatbots.
  • Optimize AI workloads for scalability, security, and performance in Azure.
  • Prepare effectively for the Microsoft AI-102 certification exam with hands-on projects

Why Choose Emigo’s AI-102 Training Center in Thiruvananthapuram?

If you want well-organized coursework, enroll in our AI-102 Training Center in Thiruvananthapuram, where you will receive lab-focused course modules and high-quality training on Azure AI installations. Here's why Emigo is one of the popular learner approached AI-102 Training Centre in Trivandrum.

  • Trainers with real Azure AI implementation experience and Microsoft-aligned teaching.
  • Microsoft AI-102 online classes with flexible timings for working professionals.
  • Access to a focused AI-102 syllabus, official study guide links, and resourceful learning materials.
  • Interactive classroom training, virtual labs, and project-based exercises.
  • Interview and placement guidance for AI-102 roles in Kochi and beyond.
  • AI-102 training online with real-world project assistance and code walkthroughs.
  • Career mentorship and individual doubt-clearing sessions.
  • Support for both AI-102 course online and offline batches.

Syllabus Summary

Plan and manage an Azure AI solution

a. Select the appropriate Azure AI Foundry services

  • Select the appropriate service for a generative AI solution
  • Select the appropriate service for a computer vision solution
  • Select the appropriate service for a natural language processing solution
  • Select the appropriate service for a speech solution
  • Select the appropriate service for an information extraction solution
  • Select the appropriate service for a knowledge mining solution

b. Plan, create and deploy an Azure AI Foundry service

  • Plan for a solution that meets Responsible AI principles
  • Create an Azure AI resource
  • Choose the appropriate AI models for your solution
  • Deploy AI models using the appropriate deployment options
  • Install and utilize the appropriate SDKs and APIs
  • Determine a default endpoint for a service
  • Integrate Azure AI Foundry Services into a continuous integration and continuous delivery (CI/CD) pipeline
  • Plan and implement a container deployment

c. Manage, monitor, and secure an Azure AI Foundry Service

  • Monitor an Azure AI resource
  • Manage costs for Azure AI Foundry Services
  • Manage and protect account keys
  • Manage authentication for an Azure AI Foundry Service resource

d. Implement AI solutions responsibly

  • Implement content moderation solutions
  • Configure responsible AI insights, including content safety
  • Implement responsible AI, including content filters and blocklists
  • Prevent harmful behavior, including prompt shields and harm detection
  • Design a responsible AI governance framework
Implement generative AI solutions

a. Build generative AI solutions with Azure AI Foundry

  • Plan and prepare for a generative AI solution
  • Deploy a hub, project, and necessary resources with Azure AI Foundry
  • Deploy the appropriate generative AI model for your use case
  • Implement a prompt flow solution
  • Implement a RAG pattern by grounding a model in your data
  • Evaluate models and flows
  • Integrate your project into an application with Azure AI Foundry SDK
  • Utilize prompt templates in your generative AI solution

b. Use Azure OpenAI in Foundry Models to generate content

  • Provision an Azure OpenAI in Foundry Models resource
  • Select and deploy an Azure OpenAI model
  • Submit prompts to generate code and natural language responses
  • Use the DALL-E model to generate images
  • Integrate Azure OpenAI into your own application
  • Use large multimodal models in Azure OpenAI
  • Implement an Azure OpenAI Assistant

c. Optimize and operationalize a generative AI solution

  • Configure parameters to control generative behavior
  • Configure model monitoring and diagnostic settings, including performance and resource consumption
  • Optimize and manage resources for deployment, including scalability and foundational model updates
  • Enable tracing and collect feedback
  • Implement model reflection
  • Deploy containers for use on local and edge devices
  • Implement orchestration of multiple generative AI models
  • Apply prompt engineering techniques to improve responses
  • Fine-tune an generative model
Implement an agentic solution

a. Create custom agents

  • Understand the role and use cases of an agent
  • Configure the necessary resources to build an agent
  • Create an agent with the Azure AI Foundry Agent Service
  • Implement complex agents with Semantic Kernel and Autogen
  • Implement complex workflows including orchestration for a multi-agent solution, multiple users, and autonomous capabilities
  • Test, optimize and deploy an agent
Implement computer vision solutions

a. Analyze images

  • Select visual features to meet image processing requirements
  • Detect objects in images and generate image tags
  • Include image analysis features in an image processing request
  • Interpret image processing responses
  • Extract text from images using Azure AI Vision
  • Convert handwritten text using Azure AI Vision

b. Implement custom vision models

  • Choose between image classification and object detection models
  • Label images
  • Train a custom image model, including image classification and object detection
  • Evaluate custom vision model metrics
  • Publish a custom vision model
  • Consume a custom vision model
  • Build a custom vision model code first

c. Analyze videos

  • Use Azure AI Video Indexer to extract insights from a video or live stream
  • Use Azure AI Vision Spatial Analysis to detect presence and movement of people in video

Implement natural language processing solutions

a. Analyze and translate text

  • Extract key phrases and entities
  • Determine sentiment of text
  • Detect the language used in text
  • Detect personally identifiable information (PII) in text
  • Translate text and documents by using the Azure AI Translator service

b. Process and translate speech

  • Integrate generative AI speaking capabilities in an application
  • Implement text-to-speech and speech-to-text using Azure AI Speech
  • Improve text-to-speech by using Speech Synthesis Markup Language (SSML)
  • Implement custom speech solutions with Azure AI Speech
  • Implement intent and keyword recognition with Azure AI Speech
  • Translate speech-to-speech and speech-to-text by using the Azure AI Speech service

c. Implement custom language models

  • Create intents, entities, and add utterances
  • Train, evaluate, deploy, and test a language understanding model
  • Optimize, backup, and recover language understanding model
  • Consume a language model from a client application
  • Create a custom question answering project
  • Add question-and-answer pairs and import sources for question answering
  • Train, test, and publish a knowledge base
  • Create a multi-turn conversation
  • Add alternate phrasing and chit-chat to a knowledge base
  • Export a knowledge base
  • Create a multi-language question answering solution
  • Implement custom translation, including training, improving, and publishing a custom model
Implement knowledge mining and information extraction solutions

a. Implement an Azure AI Search solution

  • Provision an Azure AI Search resource, create an index, and define a skillset
  • Create data sources and indexers
  • Implement custom skills and include them in a skillset
  • Create and run an indexer
  • Query an index, including syntax, sorting, filtering, and wildcards
  • Manage Knowledge Store projections, including file, object, and table projections
  • Implement semantic and vector store solutions

b. Implement an Azure AI Document Intelligence solution

  • Provision a Document Intelligence resource
  • Use prebuilt models to extract data from documents
  • Implement a custom document intelligence model
  • Train, test, and publish a custom document intelligence model
  • Create a composed document intelligence model

c. Extract information with Azure AI Content Understanding

  • Create an OCR pipeline to extract text from images and documents
  • Summarize, classify, and detect attributes of documents
  • Extract entities, tables, and images from documents
  • Process and ingest documents, images, videos, and audio with Azure AI Content Understanding

Who Should Enroll in the Microsoft AI-102 Training Course in Thiruvananthapuram?

We provide the best Microsoft AI-102 training course in Trivandrum for students who want to design and deploy Azure AI applications. This course is available to anybody who has prior expertise with Microsoft Azure services and cloud concepts. The following individuals will benefit the most from this Microsoft AI 102 course and certification:

  • AI developers looking to build intelligent applications with Azure.
  • Solution architects designing AI-powered solutions for businesses.
  • Data scientists seeking to implement machine learning on Azure.
  • Software engineers focused on integrating Azure Cognitive Services.
  • IT professionals involved in deploying and managing AI projects.
  • Individuals preparing for the Microsoft AI-102 certification exam.
  • Anyone aiming to advance their career in Azure AI and cloud technologies.

Career After AI-102 Certification in Trivandrum

Emigo's Microsoft AI-102 certification program gives up work options in a variety of areas, including IT, healthcare, finance, retail, ecommerce, and consulting. Common positions you can target after AI-102 are:

  • Azure AI Engineer
  • AI Developer.
  • Conversational AI Engineer
  • Cognitive Solutions Developer
  • Project Consultant.
  • Solution Architect.
  • AI Product Engineer 

Exam Details of the AI-102 Course in Kochi

  • Exam Codes: AI-102: Designing and Implementing a Microsoft Azure AI Solution
  • Duration: 100 minutes
  • Cost: $165 USD

If you want to take this course, you should have a basic understanding of Microsoft Azure services and cloud principles, as well as programming skills in Python, C#, or another language. A basic understanding of essential AI principles like machine learning, natural language processing, and computer vision would be beneficial. It would be advantageous to have prior experience with Azure Cognitive Services or Azure Machine Learning.


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