Duration : 1 Day
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AI-3003: Build a Natural Language Processing Solution with Azure AI Services Certification
Want to enhance your expertise in designing, maintaining, and implementing machine translation, speech recognition, email filters, chatbots, and a range of NLP applications?
Look no further.
Vinsys’ AI-3003: Build a Natural Language Processing Solution with Azure AI Serv
AI-3003: Build a Natural Language Processing Solution with Azure AI Se
Prepare for AI NLP services.
Develop robust AI-powered applications.
1-day short-term AI course in KSA.
Course Overview
Azure AI has transformed the application development process, making it easy, fast, and more accurate. When an application is powered by AI, it is called a smart application. Vinsys understands the growing demand for smart and interactive solutions. Therefore, we have introduced a range of courses on Azure AI.
The Azure AI 3003 is a professional course for intermediate-level AI engineers who want to work closely with app makers to create powerful NLP applications. The course offers hands-on experience in Natural Language Processing (NLP). With 8 modules, each containing units to simplify your understanding of NLP components. We ensure that our Azure AI courses are updated promptly after Microsoft updates to provide you with industry-relevant knowledge.
Through this course, you will develop practical skills in NLP, enabling you to create solutions that can analyze text using Azure AI-Language to extract crucial data or key phrases. You will also gain expertise in creating Q & A, custom name entity recognition, and developing translation of text and speech-enabled apps.
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Course Objectives
The Azure AI-3003 will help you:
- Understand the key advantages of integrating Azure AI with NLP solutions.
- Evaluate how to build a real-time tool to recognize and translate speech.
- Learn the techniques of converting speech-to-text and text-to-speech using Azure AI models.
- Examine how the translator service in Azure AI works and design a custom translation utility.
- Analyze how to extract data from unstructured documents using a custom entity recognition solution.
- Understand how to create a custom text classification solution to work for various types of classification projects.
- Evaluate the mechanism of Q & A solutions to develop a custom question-answering solution using Azure AI-Language.
- Build your expertise in designing a conversational language model.
Audience
We strongly recommend this course to all IT professionals in KSA interested in trying their hands in AI.
- AI engineers
- Developers
- Data scientists
Prerequisite
Admission for this course requires the following prerequisites:
- Knowledge of Azure and the Azure Portal
- Experience in C# or Python
Course Outline
Module 1: Analyze text with Azure AI Language
- Overview
- Extract key phrases and entities
- Analyze sentiment
- Extract linked entities
- Provision an Azure AI Language resource
- Detect language
Module 2: Create question answering solutions with Azure AI
- Language
- Overview
- Create a knowledge base
- Implement multi-turn conversation
- Understand question answering
- Compare question answering to Azure AI Language understanding
Module 3: Develop a conversational language understanding model
- Overview
- Understand prebuilt capabilities of the Azure AI Language service
- Define intents, utterances, and entities
- Use patterns to differentiate similar utterances
- Use pre-built entity components
- Understand resources for building a conversational language understanding model
- Train, test, publish, and review a conversational language understanding model
Module 4: Create a custom text classification solution Overview
- Types of classification projects
- Understand how to build text classification projects
Module 5: Custom named entity recognition
- Introduction
- Train and evaluate your model
- Analyze custom named entity recognition
- Label your data
Module 6: Translate text with Azure AI Translator service
- Introduction
- Understand language detection, translation, and transliteration
- Specify translation options
- Define custom translations
- Provision an Azure AI Translator resource
Module 7: Develop speech-enabled apps with Azure AI services
- Overview
- Provision an Azure resource for speech
- Configure audio format and voices
- Use Speech Synthesis Markup Language
- Use the Azure AI Speech to Text API
- Use the text to speech API
Module 8: Translate speech with the Azure AI Speech service
- Introduction
- Synthesize translations
- Provision an Azure resource for speech translation
- Translate speech to text
About The Certification
Obtaining an Azure AI certification is a globally recognized achievement. It showcases your proficiency in using AI models to develop, modify, and maintain intelligent applications. This universally accepted credential will enhance your resume and position you as a sought-after candidate for Azure AI development.
About The Examination:
The assessment process involves an interactive lab to assess your skills in Azure AI NLP. This will take 2 hours to complete. You can take this exam in multiple languages. Contact us to learn more about the assessment process and how to prepare for it.
Choose Your Preferred Mode
Online Training
- Individual and group training support.
- Career counseling to choose suitable programs to enhance skills.
- Regular monitoring of performance and equal opportunity to everyone.
- Focused, concise, and easy-to-understand course materials.
Corporate Training
- Improve employee performance by addressing knowledge gaps.
- Stay updated your workforce with the latest practices to improve work quality.
- Prepare your team for changing work trends.
- Develop a positive work culture by encouraging work collaboration.
FAQ’s
Why should I choose Vinsys for Azure AI training in KSA?
Choose Vinsys for Azure AI training in KSA, a leading online training service provider in the Middle East. Our online training is expert-led, short-term, and offers a unique blend of practical, theoretical, case studies, exercises, and other engaging pedagogies. The success rate of individuals trained for Azure AI certifications is highly satisfactory.
How long does it take to complete the AI-3003 program?
This one-day live training course discusses the core of NLP and its advantages when integrated with Azure AI.
Can a beginner enroll in the AI-3003 program?
The course requires work experience in Python or C# language with Azure AI Portal and Azure AI resources. Contact us to learn about your eligibility.
Is there any certification upon course completion?
If you want to demonstrate your specialization in Azure AI NLP application development and management, the AI-3003 exam will help you obtain Microsoft Azure AI certification.
Can I take the Azure AI NLP assessment in French?
You can take the assessment in English, Japanese, Chinese, Spanish, Portuguese, German or French. Please contact us for more details.
Do you provide an assessment guide?
Apart from providing course materials, we help you understand the assessment model. The purpose is to prepare you to face the Azure AI assessment confidently.
I have a busy work schedule. Can I still join this AI-3003 program?
We offer self-paced learning opportunities for professionals with busy schedules. You can access course materials like video lectures, exercises, and projects at your convenience, making balancing your work and study commitments easier.
What job roles can I apply for after completing the A-3003 program?
The AI-3003 course will allow you to work as an AI engineer, developer, or solution architect to create a custom NLP solution.
Why Vinsys
Seasoned Instructors
Official Vendor Partnerships
Authorized Courseware
3,000+ Courses & 2,000+ Modules
In Synch with Tech-advancements
Customizable Blended Learning Options
Reviews
The practical-based training has deepened my understanding of translation to speech services, equipping me to deliver top-tier NLP solutions.
Shubham R ParasharData Scientist
The comprehensive module of AI NLP allows me to effectively implement NLP solutions in real-world projects. This practical experience has bolstered my confidence and helped me excel in AI services.
Sanjay PariharProject Manager
We eagerly look forward to applying our skills in customer service chatbots, machine translation, and information extraction solutions. The potential for these applications is fascinating.
Ashutosh ShastriIT Head
The training was packed with comprehensive discussions, exercises, and lab assistance to develop planning, designing, deployment, and maintenance of Azure AI services without hesitation.
Jennifer FernandesSoftware Engineer
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