Microsoft Course: Develop natural language processing solutions with Azure AI Services
Enterprise NLP Solutions with Azure AI: From Text to Speech Intelligence
- Implement text analytics
- Develop intelligent Q&A systems with contextual understanding
- Train custom CLU models for intent recognition
- Build domain-specific text classifiers and entity recognizers
- Create multilingual translation solutions
- Engineer speech-to-text/text-to-speech applications
- Design audio-enabled generative AI chatbots
- Optimize NLP models for accuracy and scalability
- Prepare for more advanced Microsoft certifications in AI
What you will learn
This comprehensive 7-hour 47-minute learning path equips developers to build advanced natural language processing solutions using Azure AI Services. Covering 9 technical modules, learners master text analysis, conversational AI, custom classification, speech translation, and audio-enabled generative apps. From foundational language understanding to multi-modal AI implementations, the course combines Azure AI Language and Speech services with real-world application scenarios for enterprise-grade NLP development.
Microsoft's Copilot Foundations course Outline
Learn the Copilot Foundations
Unlock the full potential of language AI with Microsoft's professional NLP development path. This 7.5-hour intensive training takes you from text analysis fundamentals to building audio-powered generative apps using Azure AI Services. Whether you're creating multilingual chatbots or custom document processors, master enterprise-ready skills through hands-on labs and Microsoft-certified content. Click to transform raw language data into intelligent solutions – your journey to becoming an NLP architect starts here!
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Course Structure Includes:
Module 1: Text Analytics (54 min)
- Semantic analysis & feature extraction
Module 2: Q&A Systems (46 min)
- Context-aware answer generation
Module 3: Conversational AI (1h5m)
- Intent recognition modeling
Module 4: Text Classification (58 min)
- Custom category prediction
Module 5: Entity Recognition (53 min)
- Domain-specific NER implementation
Module 6: Translation API (48 min)
- Multi-language text conversion
Module 7: Speech Apps (53 min)
- STT/TTS API integration
Module 8: Speech Translation (47 min)
- Real-time multilingual conversion
Module 9: Audio AI (43 min)
- Voice-enabled generative chatbots
Training Options
Self Paced Learning
- Lifelong access to high-quality content
- Curated by industry experts
- Customized learning progress
- 24/7 learner assistance and support
- Follow the latest technology trends
Exam Dump
- 100% Real Exam Practice Tests
- 100% Verified Exam Questions & Answers
- 100% Guarantee Passing Rate
- Average 7 Days to Practice & Pass
Description
Master Azure AI Language/Speech services to build text analysis, translation, and voice-enabled apps. Learn custom NLP modeling, speech synthesis, and audio AI integration through practical implementation scenarios.
Pre-requisites
Familiarity with Azure and the Azure portal.
Experience programming with C# or Python.
SPOTO Empowers You to Earn Your Certification.
Benefits of AWS Certified AI Practitioner Certification
Microsoft Certified: Azure AI Fundamentals (AI-900) is an entry-level certification designed to validate foundational knowledge of AI and machine learning concepts, including computer vision, natural language processing (NLP), generative AI, and responsible AI principles. Ideal for both technical and non-technical professionals, it requires no prior coding experience and offers free, flexible learning resources via Microsoft Learn. The certification enhances career prospects in high-demand roles like AI Engineer or Data Scientist, with potential salary increases up to 20%, while serving as a gateway to advanced Azure certifications (e.g., AI-102). Cost-effective and time-efficient (preparation in 10–30 hours), the exam focuses on real-world applications using Azure Cognitive Services, OpenAI APIs, and Azure Machine Learning. With permanent validity and global recognition across 90+ countries, it equips professionals to drive AI innovation in industries such as healthcare and finance. Start your AI journey with Microsoft Learn today!
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SPOTO's study resources provide comprehensive coverage of the exam syllabus, aligning with key topics like ML problem framing, data processing, model optimization, and pipeline automation. The materials include structured learning paths, practice exams, and real-world case studies that mirror the certification's focus on designing, implementing, and deploying machine learning solutions with Microsoft services and ML workflows. By leveraging SPOTO's targeted content, candidates can efficiently bridge knowledge gaps, reinforce practical skills, and gain familiarity with the exam format. This focused preparation increases confidence and readiness, particularly for complex tasks such as deploying CI/CD pipelines or optimizing model performance—areas emphasized in the certification. Combined with hands-on experience, SPOTO's resources offer a strategic advantage for achieving certification success.
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