We really hope you'll agree, this training is way more than the average course on Udemy!

Have access to the following:

• Training from an instructor of over 25 years who has trained thousands of people and also a Microsoft Certified Trainer

• Lecture that explains the concepts in an easy to learn method for someone that is just starting out with this material

• Instructor led hands on and simulations to practice that can be followed even if you have little to no experience

TOPICS COVERED INCLUDING HANDS ON LECTURE AND PRACTICE TUTORIALS:

Introduction

• Welcome to the course

• Order of concepts covered in the course

• Certificate of Completion

• Introduction to artificial intelligence terminology

Setting up for hands on learning

• IMPORTANT Using Assignments in the course

• Creating a free Azure Account

• Installing Python installed on Windows

• Installing Visual Studios on Windows

• Introducing Microsoft Foundry and it's constant changes

• DONT SKIP: Redoing simulations in the course

Describe principles of responsible AI

• Describe considerations for fairness and inclusiveness in an AI solution

• Describe considerations for reliability and safety in an AI solution

• Describe considerations for privacy and security in an AI solution

• Describe considerations for transparency in an AI solution

• Describe considerations for accountability in an AI solution

Identify AI model components and configurations

• Describe how generative AI models work

• Identify an appropriate AI model, based on capabilities

• Identify appropriate model deployment options and configuration parameters

Identify AI workloads

• Identify scenarios for common AI workloads, generative and agentic AI and more

• Describe common text analysis techniques, including keyword extraction and more

• Identify features and capabilities of speech recognition and speech synthesis

• Identify features and capabilities of computer vision and image-generation models

• Identify techniques to extract information from text, images, audio, and videos

Implement generative AI apps and agents by using Foundry

• Create effective system and user prompts for generative AI models

• Deploy a model and interact with it in the Foundry portal

• Create a lightweight chat client application by using the Foundry SDK

• Create and test a single-agent solution in the Foundry portal

• Create a lightweight client application for an agent

Implement AI solutions for text and speech by using Foundry

• Build a lightweight application that includes text analysis

• Respond to spoken prompts by using a deployed multimodal model

• Build a lightweight application by using Azure Speech in Foundry Tools

Implement AI solutions with computer vision and image-generation capabilities

• Interpret visual input in prompts by using a deployed multimodal model

• Create new visual outputs by using generative models

• Build a lightweight application that includes vision capabilities

Implement AI solutions for information extraction by using Foundry

• Extract information from images by using Content Understanding

• Extract information from documents & forms by using Azure Content Understanding

• Extract information from audio media by using Content Understanding

• Build a lightweight application with information extraction capabilities

FINAL - Where do I go from here?

• Removing AI resources in Azure

• Getting your Udemy certificate for this course