- COURSE
AI Adoption Workshop for Technical Users (AI-AITU)
Price:
Duration:
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This Instructor Led Workshop will provide technical teams an overview of AI and will by the workshops end have everyone creating AI solutions.
Upcoming Class Dates and Times
All Sunset Learning courses are guaranteed to run
Course Outline and Details
Prerequisites
Target Audience
Course Objectives
Course Outline
Day 1: Introduction to AI and Azure AI Fundamentals
- Welcome and Workshop Overview
- Introduction to the workshop objectives and agenda
- Importance of AI in modern technology
- Overview of Microsoft Azure AI services
- Understanding AI Workloads and Considerations
- Definition and types of AI workloads
- Ethical considerations and responsible AI
- Use cases and industry applications
- Fundamental Principles of Machine Learning on Azure
- Introduction to machine learning concepts
- Azure Machine Learning services
- Hands-on lab: Creating a simple machine learning model
- Computer Vision Workloads on Azure
- Overview of computer vision and its applications
- Azure Computer Vision services
- Hands-on lab: Building a computer vision solution
Day 2: Deep Dive into AI Workloads
- Natural Language Processing (NLP) Workloads on Azure
- Introduction to NLP and its use cases
- Azure Cognitive Services for language
- Hands-on lab: Implementing an NLP solution
- Conversational AI Workloads on Azure
- Basics of conversational AI and chatbots
- Azure Bot Services and Language Understanding (LUIS)
- Hands-on lab: Creating a chatbot
- AI Solution Design Principles
- Overview of AI solution design principles
- Planning and scoping AI projects
- Case studies and best practices
Day 3: Building and Integrating AI Solutions
- Building AI-Infused Applications
- Integrating AI services into applications
- Using REST-based APIs for AI solutions
- Hands-on lab: Developing an AI-infused application
- Azure AI Search and Knowledge Mining
- Introduction to Azure AI Search
- Implementing knowledge mining solutions
- Hands-on lab: Creating a knowledge mining solution
- Generative AI and Azure OpenAI
- Overview of generative AI and its applications
- Using Azure OpenAI for generative AI solutions
- Hands-on lab: Building a generative AI application
Day 4: Deploying, Managing, and Scaling AI Solutions
- Deploying AI Solutions
- Best practices for deploying AI models
- Monitoring and maintaining AI solutions
- Hands-on lab: Deploying an AI solution on Azure
- Scaling AI Solutions
- Strategies for scaling AI projects
- Performance optimization and cost management
- Case studies of scalable AI solutions
- Workshop Wrap-Up and Next Steps
- Summary of key learnings
- Q&A session
- Resources for further learning
- Planning next steps for AI adoption in your organization
Course Delivery Options
Train face-to-face with the live instructor. (Please note, not all classes will have this option)
Access to on-demand training content anytime, anywhere. (Please note, not all classes will have this option)
Attend the live class from the comfort of your home or office.
Interact with a live, remote instructor from a specialized, HD-equipped classroom near you. An SLI sales rep will confirm location availability prior to registration confirmation.