The Azure AI certification course equips you for Microsoft’s AI-102 Azure AI Engineer Associate exam. It delves into Azure services such as language, speech, translation, OpenAI, prompt engineering, and responsible generative AI. Additionally, it provides in-depth knowledge of Azure Cognitive Services, Azure Cognitive Search, and the Microsoft Bot Framework.
Microsoft Certified Azure AI Engineer Associate (AI-102)
Industry-recognised certification training with BELLS
Course Overview
- Comprehensive training aligned with the AI-102 certification for Azure AI Engineer Associate
- Access to official Microsoft handbooks designed specifically for the AI-102 examination
- Prepare effectively with targeted practice tests to ensure exam success
- Learn from Microsoft-certified trainers through hands-on training sessions
- Gain practical experience through labs and projects within Azure Labs
- Earn an official course completion badge or certificate hosted on the Microsoft Learn portal
Skills You Will Acquire
- Design and oversee an Azure AI solution
- Develop computer vision applications
- Build and deploy generative AI models
- Implement decision-making support systems
- Create natural language processing (NLP) solutions
- Integrate knowledge mining and document intelligence tools
Who Should Take the Course?
The online Microsoft Certified Azure AI Engineer Associate course is designed for experienced programmers aiming to build AI-powered applications using Azure services. Participants are expected to have knowledge of Python or C#, REST API principles, JSON, and Azure service solutions.
Pre-requisites
Familiarity with the Microsoft Azure portal and services, along with proficiency in programming languages such as Python or C#, is recommended for enrolling in this program. A solid understanding of REST APIs and JSON, combined with a willingness to explore Azure Cognitive Services, will enable you to excel in this course more efficiently.
What You Will Learn
- Preparing to Develop AI Solutions on Azure
- Explore the capabilities of Azure Machine Learning
- Understand Azure AI Services
- Learn about Azure OpenAI Service features
- Discover Azure AI Search capabilities
- Creating and Consuming Azure AI Services
- Set up Azure AI service resources within a subscription
- Identify service endpoints, keys, and locations
- Utilize REST APIs and SDKs to consume Azure AI services
- Securing Azure AI Services
- Implement authentication methods for Azure AI services
- Manage network security for Azure AI environments
- Monitoring Azure AI Services
- Track service costs and monitor usage
- Set up alerts and review service metrics
- Manage diagnostic logging for services
- Deploying Azure AI Services in Containers
- Create reusable container resources
- Deploy and secure containers
- Utilize Azure AI services from containers
- Analyzing Images and Videos
- Set up an Azure AI Vision resource
- Analyze images and generate smart-cropped thumbnails
- Extract insights from videos using Azure Video Indexer
- Train image classifiers with Custom Vision
- Detect and analyze faces with Computer Vision
- Implement facial recognition using Azure Face service
- Extract text using OCR from images and documents
- Detect languages and analyze sentiment from text
- Extract key phrases and entities using Azure AI Language
- Create and publish knowledge bases
- Implement multi-turn conversations with active learning
- Develop bots for question-answering applications
- Define intents, utterances, and entities
- Utilize pre-built entity components
- Train, test, and publish language models
- Creating Custom Text Classification and Entity Recognition
- Develop custom text classification models
- Tag data and deploy classification tasks
- Build projects for named entity recognition
- Implementing Speech-Enabled Apps and Translation
- Use Azure Speech-to-Text and Text-to-Speech APIs
- Configure SSML for advanced speech synthesis
- Translate speech and generate spoken translations
- Develop search applications with AI capabilities
- Integrate custom skills into search skillsets
- Build knowledge stores from search pipelines
- Explore components of Document Intelligence
- Use pre-built models to analyze forms and documents
- Extract data with SDKs and REST APIs
- Create and test models using Azure OpenAI
- Build applications using OpenAI endpoints
- Apply prompt engineering techniques effectively
- Use prompts to generate code and documentation
- Integrate DALL-E for image generation within apps
- Implement Retrieval Augmented Generation (RAG) with custom data
- Develop processes for responsible AI solutions
- Identify and mitigate potential AI-related harms
- Deploy and manage AI solutions responsibly
- Establish governance policies for AI solutions
- Manage risks with responsible AI practices
Training Options & Course Fees
Online Bootcamp — starts from S$420
- Flexi Pass Enabled: Flexibility to reschedule your cohort within first 90 days of access.
- Live, online classroom training by top instructors and practitioners
- 24×7 learner assistance and support
Corporate Training
Upskill or reskill your teams
- Blended learning delivery model (self-paced e-learning and/or instructor-led options)
- Course, category, and all-access pricing
- Enterprise-class learning management system (LMS)
- Enhanced reporting for individuals and teams
- 24×7 teaching assistance and support
Speak to our course consultants for the latest schedule, fees and corporate pricing. Use the form on this page or WhatsApp us at +65 8087 0497.
Pre-requisites
- Singapore Citizens, Singapore permanent residents, and holders of Long-term Visit Pass plus (“LTVP+ Holders”) who are aged 21 years old and above
Overview
- Be the first student
- Language: English
- Duration: 10 weeks
- Skill level: Any level
- Lectures: 0
