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Course Code: IT 1887
6 Course Visits
Azure AI Engineer Associate
Course Sector:
Information Technology
Course Dates and Locations
Choose a date and location to book your seat
No.
Date
Days
Location
Fees
Enrollment
01
5 Days
Riyadh, KSA $4,250
02
5 Days
Dubai, UAE $4,250
03
5 Days
Online, Virtual $2,150
Introduction
Training course introducion / brief
This course is designed to equip AI professionals with the knowledge and hands-on skills needed to build, manage, and deploy AI solutions using Microsoft Azure's comprehensive suite of AI services. Participants will explore real-world scenarios involving language processing, computer vision, speech recognition, and conversational AI.
Course Objectives
At the end of the training course, participants will be able to
By the end of this course, participants will be able to:
- Understand the core concepts of Microsoft Azure AI services.
- Design and implement AI solutions using Azure services like Azure Cognitive Services and Azure Machine Learning.
- Build and deploy NLP solutions using Text Analytics, Language Understanding (LUIS), and Azure OpenAI.
- Integrate Computer Vision into applications using Azure Vision and Custom Vision services.
- Build and manage Conversational AI using Azure Bot Services and Language Studio.
- Secure, monitor, and evaluate AI solutions in Azure environments.
Course Audience
Who is this course for, and can benefit the most
Course Outline
The course aims and learning outcomes
Module 1: Introduction to Azure AI Services
- Overview of Azure Cognitive Services
- Introduction to Azure Machine Learning
- Responsible AI principles
- AI workloads and considerations
- Azure AI solution architecture and design patterns
Module 2: Implementing Computer Vision Solutions
- Analyze images with the Vision API
- Extract text using OCR and Read API
- Build image classification models with Custom Vision
- Detect objects using Object Detection models
- Analyze video using Azure Video Indexer
Module 3: Implementing Natural Language Processing (NLP)
- Text Analytics: sentiment analysis, key phrases, language detection, entity recognition
- Language Understanding using Azure Language Studio and LUIS
- Question Answering and Knowledge Mining
- Azure OpenAI (ChatGPT integration, embeddings, summarization)
- Translate text and detect language
Module 4: Implementing Conversational AI Solutions
- Introduction to Azure Bot Services
- Creating bots using the Bot Framework Composer
- Integrating bots with LUIS and QnA Maker / Azure Language Understanding
- Handling multi-turn conversations
- Deploying and managing bots in production
Module 5: Implementing Speech Capabilities
- Speech-to-Text and Text-to-Speech services
- Speaker recognition and speech translation
- Customizing speech models
- Building real-time speech applications
Module 6: Integrating AI Solutions
- Use SDKs and REST APIs to call Azure Cognitive Services
- Embed AI models in applications
- Work with containers for on-premises deployments
- Manage scalability and performance of AI models
Module 7: Monitoring, Evaluating, and Securing AI Solutions
- Monitor and log AI services
- Evaluate model performance and accuracy
- Use Azure Key Vault and role-based access control (RBAC)
- Cost management and optimization
Providers and Associations
Providing the best training services and benefits to our valued clients
Boost certificate of completion
BOOST's Professional Attendance Certificate “BPAC” is always given to the delegates after completing the training course, and depends on their attendance of the program at a rate of no less than 80%, besides their active participation and engagement during the program sessions.
ENDORSED EDUCATION PROVIDER
Flexible deadlines
Customized dates accordance to your schedule
Shareable Certificate
Earn certificate upon completion
COURSE METHODOLOGY
Our Training programs are implemented by combining the participants' academic knowledge and practical practice (30% theoretical / 70% practical activities).
At The end of the training program, Participants are involved in practical workshop to show their skills in applying what they were trained for. A detailed report is submitted to each participant and the training department in the organization on the results of the participant's performance and the return on training. Our programs focus on exercises, case studies, and individual and group presentations.
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