AI-102 Certification Training – Become a Microsoft Azure AI Engineer
Build, Deploy, and Manage Intelligent Applications Using Azure AI Services.
March 15 @ 9:00 am – March 18 @ 5:00 pm UTC+5:30
About the Course
Do you know which services power the most popular app of all time, the ChatGPT from Open AI? It’s Microsoft’s Azure AI services. Do you want to master the same tools and technologies to help build scalable and smart apps? Then the AI-102: Microsoft Azure AI Engineer course is your gateway to mastering Azure’s AI tools and services in 2025. Learn how to design, implement, and operationalize intelligent AI solutions that are scalable, secure, and performance-optimized. This course also prepares you for the AI-102 certification exam, globally validating your skills in building AI-powered applications.
What You’ll Learn
- Integrate Azure Cognitive Services and Bot Service into applications
- Design and deploy AI solutions tailored to enterprise needs
- Enhance applications with machine learning models and APIs
- Ensure scalability, security, and high performance
Who Should Attend?
- AI Engineers: Build and deploy AI-based applications
- Developers: Integrate AI features into software solutions
- Solution Architects: Design AI-powered enterprise solutions
- Data Scientists: Expand expertise in Azure-based AI deployments
- IT Professionals: Manage AI tools and solutions on the cloud
Prerequisites
- Knowledge of Azure platform fundamentals
- Proficiency in a programming language (e.g., Python, C#, or JavaScript)
- Understanding of AI/ML concepts like supervised and unsupervised learning
- Familiarity with API integration and HTTP protocols
- Basic knowledge of data storage and database systems
Why Join?
- Hands-on learning with Azure AI Services
- Expert instructors with industry experience
- Comprehensive coverage of AI-102 certification topics
- Interactive Q&A sessions to resolve your doubts
Seats are limited! Secure your spot now and step into the future of AI development with Microsoft Azure in 2025.
- Overview of Azure AI tools and services
- Key AI concepts and their application in Azure
- Introduction to Cognitive Services and AI deployment strategies
- Working with Computer Vision
- Image analysis
- OCR (Optical Character Recognition)
- Custom vision
- Exploring Natural Language Processing (NLP)
- Text Analytics
- Translator
- Speech recognition and synthesis
- Decision-making APIs
- Personalizer
- Anomaly Detector
- Creating chatbots with Azure Bot Service
- Integrating bots with Cognitive Services
- Advanced dialog design and language understanding (LUIS)
- Securing and deploying conversational AI solutions
- Building machine learning models with Azure Machine Learning
- Training, validating, and deploying models
- Using automated ML for custom scenarios
- REST API integration and SDK usage
- Deploying AI-powered microservices
- Security and compliance considerations for AI solutions
- Performance monitoring for AI solutions
- Using Application Insights for diagnostic logging
- Optimizing AI models for scalability and performance
- Principles of responsible AI
- Fairness, transparency, and explainability in AI solutions
- Mitigating bias in AI models
- Ensuring compliance with AI ethics and regulations
- Deep dive into Language Understanding Intelligent Service (LUIS)
- Integrating NLP models with conversational bots
- Customizing language models with Azure OpenAI Service
- Overview of Azure OpenAI Service
- Using GPT models for text generation and summarization
- Integrating OpenAI models into applications
- Comprehensive review of all topics
- Hands-on lab exercises and solutions
- Mock exams with detailed explanations
- Tips and strategies for success