Azure OpenAI Boot Camp for Technical Users: Unleash the Power of AI in Your Projects (TTAI2333)

Immerse yourself in the transformative world of AI with the Azure AI Boot Camp for Technical Users. This intensive, three-day program, designed for technical professionals new to Azure and AI, offers an exceptional opportunity to harness AI's capabilities. From interpreting images and text to decoding speech and developing decision support systems, you'll cultivate a dynamic skillset that translates into actionable improvements for your organization and increases the efficiency of your day-to-day tasks. This course isn't just about learning; it's about empowering you to drive change, innovate, and excel in your professional journey.

Guided by our expert Azure AI instructor, you ll gain modern hands-on skills using innovative tools to implement practical AI solutions at your workplace, resulting in smarter applications and improved operational efficiency. Throughout the course you ll explore key aspects of Azure AI, including Azure AI services, Azure Cognitive Services, Azure Machine Learning, Azure Bot Services, Azure Data Science and Analytics, and Azure AI for various applications such as Vision, Language, Speech and Voice, and Decision Support.

You ll get to experiment with the Azure AI toolbox, gaining hands-on experience creating and managing machine learning experiments, building intelligent chatbots, implementing big data analytics and more. You ll exit this course with a solid understanding of Azure AI, how to leverage it for real-world use and application, and the confidence to apply these skills on the job.

Module 1: Introduction to Azure AI

• Overview of Azure AI services and offerings
• Understanding the benefits of Azure AI for businesses
• Exploring the Azure AI ecosystem and tools

Module 2: Azure Cognitive Services

• Introduction to Azure Cognitive Services and its key features
• Text analytics and natural language processing with Azure Cognitive Services
• Speech recognition and synthesis using Azure Cognitive Services
• Computer vision and image analysis with Azure Cognitive Services

Module 3: Azure Machine Learning

• Introduction to Azure Machine Learning and its components
• Creating and managing machine learning experiments in Azure
• Training and deploying machine learning models using Azure ML
• Monitoring and scaling machine learning workflows in Azure ML

Module 4: Azure Bot Services

• Building intelligent chatbots with Azure Bot Services
• Designing conversational experiences using Azure Bot Framework
• Integrating Azure Bot Services with natural language understanding
• Deploying and managing chatbots in Azure

Module 5: Azure Data Science and Analytics

• Exploratory data analysis and visualization with Azure tools
• Building predictive models using Azure Machine Learning Studio
• Implementing big data analytics with Azure HDInsight
• Real-time analytics and stream processing with Azure Stream Analytics

Module 6: Azure AI for Vision Applications

• Image recognition and classification using Azure Custom Vision
• Object detection and tracking with Azure Computer Vision
• Building custom vision models with Azure Machine Learning
• Implementing facial recognition and analysis with Azure Face API

Module 7: Azure AI for Language Applications

• Text classification and sentiment analysis using Azure Text Analytics
• Language translation and localization with Azure Translator
• Building language models with Azure Language Understanding
• Entity recognition and named entity recognition using Azure NLP services

Module 8: Azure AI for Speech and Voice Applications

• Speech-to-text transcription using Azure Speech Services
• Voice synthesis and customization with Azure Speech Services
• Implementing speech translation with Azure Speech Services
• Developing voice-enabled applications with Azure AI services

Module 9: Azure AI for Decision Support

• Implementing recommendation systems with Azure Personalizer
• Anomaly detection and predictive maintenance using Azure AI
• Forecasting and time series analysis with Azure Machine Learning
• Building decision support systems using Azure AI services

To ensure a smooth learning experience and maximize the benefits of attending this course, you should have the following prerequisite skills:

• A basic understanding of general IT concepts such as databases, servers, and networks would help attendees to grasp the concepts and functionalities of Azure AI services more effectively.
• Basic familiarity with any programming language can be beneficial when understanding the workflow of AI solutions, but you don t need to be a programmer to attend.
• Knowledge of basic data analysis concepts such as data cleaning, data manipulation, and understanding of data types will be helpful, particularly in the sections related to machine learning and data analytics.

This Intermediate level course is geared for experienced technical users new to AI and Azure. Roles would include but not be limited to software engineers, developers, data analysts, IT professionals, and system administrators who are looking to learn Azure and add AI capabilities to their skillset. Attendees will build on their experience while learning and developing new skills related to Azure AI, but they don t need to have extensive prior knowledge of AI or Azure to attend.