Home
Courses
Cart
Checkout
Contact Us
0
Login/Register
0
Login/Register
Home
Robotics
AI Engineer Course
Curriculum
16 Sections
81 Lessons
Lifetime
Expand all sections
Collapse all sections
Getting Started With Generative AI in Azure
5
1.1
Introduction to Getting Started with Generative AI in Azure
1.2
Why Generative AI Matters
1.3
Generative vs Discriminative Models in Action
1.4
AI Architecture Developments
1.5
Module Summary from Core Concepts to AI s-evolution
Getting Acquainted with Azure AI Foundry
6
2.1
Module 1 Introduction from Theory to Practice with Azure AI Foundry
2.2
Discovering Azure AI Tools
2.3
Navigating Azure AI Foundry a Quick Guide
2.4
The why and how of AI Experimentation
2.5
Running your first Experiment in Azure AI
2.6
Module-2 Summary from setup to experimentation in Azure AI
Building your First AI Application
4
3.1
Blueprint of a Text Generation App
3.2
Setting the stage for your first AI Application
3.3
Improving your AI Application
3.4
Module 3 Summary from Blueprint to a Functional AI App
Understanding Ethical AI Practices
4
4.1
Embedding Ethics in AI
4.2
Introducing Azures Responsible AI Toolkit
4.3
Final project Lab Walkthrough
4.4
Summary of Building Responsible AI Application
Core Generative Models and Techniques
5
5.1
Introduction to Core Generative Models and Techniques
5.2
Core Models in Generative AI
5.3
Visualizing Model outputs Gans Autoregressive and Diffusion
5.4
Using a pre Trained Model in Azure AI Foundry
5.5
Module Summary from Core Theories to Training Fundamentals
Implementing Autoregressive Models
3
6.1
Mastering Sequential Data with Autoregressive Models
6.2
Sequential Data with Autoregressive Models
6.3
A First look at Generating Sequences in Azure AI Foundry
Advanced Sequential Modeling
2
7.1
Advanced Techniques in Sequential Modeling
7.2
Summary from Next Token Prediction to Advanced Forecasting
Basics of Diffusion Models
3
8.1
Generating Images with Diffusion Models
8.2
High Fidelity Image Generation
8.3
Introduction to the Image Generation Studio and its Controls
Advanced Diffusion Techniques
2
9.1
Mastering Image Generation with Diffusion
9.2
module Summary from Basic Prompts to precise Artistic Control
Foundations of ML Pipelines with a Visual Designer
3
10.1
From Prototype to Pipeline with Azure ML Designer
10.2
Prototyping with Azure ML Designer
10.3
A guided Tour of the Azure ML Designer Interface
Advanced Model Development and Evaluation
3
11.1
Evaluating Advanced Prototypes
11.2
Module Summary from visual prototyping to evaluated pipelines
11.3
summary to your journey through Generative Models and Techniques
Microsoft Working with Large Language Models using Azure
7
12.1
Introduction to working with Large Language Models using Azure
12.2
Introduction to LLMs and Prompt Engineering
12.3
The Impact of LLMs
12.4
A Look Inside an LLM from Prompt to Response
12.5
Why Prompt Engineering Matters
12.6
Crafting Effective Prompts
12.7
Summary LLM Fundamentals and Prompt Engineering
Implementing Rag Pipelines
5
13.1
Introduction to Rag Grounding AI with Data
13.2
Rag Pipelines Explained
13.3
Data Sources for Rag Azure AI search and the marketplace
13.4
Advanced Rag Configurations
13.5
Summary Mastering Rag Pipelines
Fine Tuning and Customizing LLMs
4
14.1
The Art of Fine Tuning
14.2
A Guided Tour of Azures Fine Tuning Interface
14.3
Integrating Domain Expertise Into Your Application
14.4
Summary mastering customization with Fine Tuning
Developing Generative Applications with Azure
5
15.1
Introduction to Application Development from Model to Product
15.2
Harnessing Generative AI from Models to Products
15.3
Visualizing an Application with Prompt Flow
15.4
Deploying on Azure AI Foundry
15.5
summary of your journey as an AI Application Developer
Multimodal and Cross Modal AI Integrations
20
16.1
Introduction to Multimodal and Cross Modal Integrations
16.2
Understanding Multimodal AI
16.3
Advanced Multimodal Applications
16.4
Module 2 Introduction from Words to Worlds with Text to Image Models
16.5
From Text to Image in Practice
16.6
Text to Image Model Comparisons
16.7
Mastering Text to Image Control
16.8
Module 2 Summary from Architecture to Artistic Control
16.9
An Overview of the Azure AI Services Toolkit
16.10
Module 3 Introduction the Multiple Applications of Azure AI Vision
16.11
Bringing Sight to your Applications with Azure AI Vision
16.12
Getting started with Azure AI Vision
16.13
Exploring Cross Modal Features in Vision Studio
16.14
Refining Cross Modal Applications
16.15
Module 3 Summary from a Single Feature to a Complete Vision Solution
16.16
Module 4 Introduction building an End to End Solution
16.17
Orchestrating Azure Services AI Demonstration
16.18
Setting up Your Environment for Integration
16.19
Demonstrating text to Speech with the SDK
16.20
Module 4 Summary Orchestrating a Full AI Solution
This content is protected, please
login
and
enroll
in the course to view this content!
Modal title
Main Content
