Build a solid foundation in AI with this course, covering all the essentials to prepare you for the Azure AI Engineer Associate certification. Explore key Azure services, including language, speech, and translation, and enhance your skills in OpenAI, prompt engineering, and responsible generative AI.
This program also covers advanced tools like Azure Cognitive Services, Azure Cognitive Search, and the Microsoft Bot Framework. Earning the AI-102 certification validates your expertise in Azure AI.
• Explore the capabilities of Azure Machine Learning.
• Learn about Azure AI Services and their applications.
• Discover the features of Azure OpenAI Service.
• Understand the functionality of Azure AI Search.
• Set up Azure AI service resources in an Azure subscription.
• Identify key details like endpoints, keys, and locations.
• Learn to utilize REST APIs and SDKs to integrate Azure AI services.
• Understand authentication methods for Azure AI services.
• Explore strategies to manage network security for Azure AI services.
• Learn to monitor costs associated with Azure AI services.
• Set up alerts and analyze metrics for better visibility.
• Enable and manage diagnostic logging for Azure AI services
• Create reusable containers for Azure AI solutions.
• Deploy and secure containers for AI services.
• Use containers to access and consume Azure AI services.
• Provision resources for Azure AI Vision.
• Analyze images to extract insights.
• Generate smart-cropped thumbnails.
• Set up Azure AI Custom Vision resources.
• Understand the fundamentals of image classification.
• Train and refine an image classifier.
• Learn methods for face detection, analysis, and identification.
• Explore considerations for accurate face analysis.
• Use Computer Vision services to detect faces.
• Compare and match detected faces and implement facial recognition.
• Extract text from images using Optical Character Recognition (OCR).
• Utilize Azure AI Vision service for advanced text extraction.
• Build applications capable of reading printed and handwritten text.
• Explore the capabilities of Azure Video Indexer.
• Extract meaningful insights from video content.
• Leverage Azure Video Indexer APIs and widgets
• Detect the language of text inputs.
• Analyze sentiment in text data.
• Extract key phrases, entities, and linked entities
• Understand the differences between question-answering and language
understanding.
• Create, test, and deploy a knowledge base.
• Implement multi-turn conversations and active learning.
• Build a question-answering bot for natural language interactions.
• Set up Azure resources for AI Language models.
• Define intents, utterances, and entities for accurate conversation modeling.
• Train, test, and publish conversational AI models.
• Differentiate between various classification project types.
• Build and deploy custom text classification projects.
• Train models and submit classification tasks through applications.
• Learn to tag entities in data extraction projects.
• Build and deploy entity recognition models.
• Provision Azure Translator resources.
• Explore language detection, translation, and transliteration capabilities.
• Customize and fine-tune translations.
• Set up Azure resources for AI Speech services.
• Implement speech recognition using Speech-to-Text APIs.
• Generate speech synthesis with Text-to-Speech APIs.
• Configure audio formats and use Speech Synthesis Markup Language (SSML).
• Set up resources for speech translation.
• Translate speech into text in real-time.
• Generate spoken translations for multilingual support.
• Create a comprehensive Azure AI Search solution.
• Build and optimize a search application.
• Develop custom skills for Azure AI Search.
• Integrate custom skills into search skillsets.
• Create knowledge stores using Azure AI Search pipelines.
• Analyze data projections within knowledge stores.
• Identify key components of Document Intelligence solutions.
• Connect and configure resources for document analysis.
• Decide between prebuilt, custom, or composed models.
• Solve business problems using prebuilt models in Forms Analyzer.
• Analyze forms using General Document, Read, and Layout models.
• Work with financial, ID, and tax-specific prebuilt models.
• Automate processes using Document Intelligence models.
• Integrate SDKs and REST APIs to enhance workflows.
• Develop and test custom models.
• Set up Azure OpenAI Service resources.
• Deploy and test base models in the Studio’s playground.
• Adjust model parameters to refine outputs.
• Integrate Azure OpenAI into applications.
• Understand available endpoints and their use cases.
• Generate responses using REST APIs.
• Learn the basics of prompt engineering.
• Design and optimize prompts for better model performance.
• Use natural language to write and debug code.
• Generate unit tests and documentation.
• Analyze and simplify complex code.
• Understand the features of DALL-E in Azure OpenAI.
• Use the DALL-E playground to generate images.
• Integrate image generation into applications.
• Discover how Azure OpenAI works with your own data.
• Configure the service to generate responses from your datasets.
• Use APIs to implement RAG in solutions.
• Develop solutions with responsible generative AI practices.
• Identify and address potential harms in AI solutions.
• Measure and mitigate risks associated with generative AI.
• Prepare for responsible deployment and operations.
Upon completing the Artificial Intelligence courses at Netsmartz School, learners will gain the following benefits:
Earn a prestigious course completion badge or certificate, available on the Netsmartz School and Microsoft, highlighting your proficiency in AI
Master key concepts and gain hands-on experience in Artificial Intelligence, making you well-equipped for real-world applications
Enhance your career prospects by showcasing your expertise in AI to potential employers and staying ahead in today's rapidly evolving tech landscape
Our programs are crafted with insights from top industry minds and educators, ensuring you gain skills that truly matter in the real world.
Take on projects that mirror the real challenges of the industry, work with real data, and build practical skills that lead to job-ready expertise.
Gain valuable insights from leading practitioners who bring industry use cases, case studies, and proven strategies into your classroom
Stay on track with 24/7 access to mentors and a community of peers, all ready to help you overcome any challenges along the way.
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