Embark on a comprehensive journey through Azure AI fundamentals with this extensive 4-hour course designed to fully prepare you for the AI-900 certification exam. Dive deep into machine learning concepts, exploring key elements like datasets, labeling, and various learning approaches. Gain insights into neural networks, GPUs, and CUDA technology. Understand common AI workloads including anomaly detection, computer vision, natural language processing, and conversational AI. Delve into responsible AI practices, covering fairness, privacy, and accountability. Master Azure Cognitive Services, Machine Learning Studio, AutoML, and Custom Vision. Explore the cutting-edge world of generative AI, large language models, and Azure OpenAI Service. Engage in hands-on follow-along sessions to reinforce your learning with practical applications in computer vision, custom vision, face recognition, form processing, and more. By the end of this course, you'll be well-equipped to tackle the Azure AI Fundamentals Certification exam with confidence.
Overview
Syllabus
Introduction to AI-900
Exam Guide Breakdown
Layers of Machine Learning
Key Elements of AI
DataSets
Labeling
Supervised and Unsupervised Reinforcement
Netural Networks and Deep Learning
GPU
CUDA
Simple ML Pipeline
Forecast vs Prediction
Metrics
Juypter Notebooks
Regression
Classification
Clustering
Confusion Matrix
Anomaly Detection AI
Computer Vision AI
Natural Language Processing AI
Conversational AI
Responsible AI
Fairness
Reliability and safety
Privacy and security
Inclusiveness
Transparency
Accountability
Guidelines for Human AI Interaction
Follow Along Guidelines for Human AI Interaction
Azure Cognitive Services
Congitive API Key and Endpoint
Knowledge Mining
Face Service
Speech and Translate Service
Text Analytics
OCR Computer Vision
Form Recognizer
Form Recognizer Custom Models
Form Recognizer Prebuilt Models
LUIS
QnA Maker
Azure Bot Service
Azure Machine Learning Service
Studio Overview
Studio Compute
Studio Data Labeling
Data Stores
Datasets
Experiments
Pipelines
ML Designer
Model Registry
Endpoints
Notebooks
Introduction to AutoML
Data Guard Rails
Automatic Featurization
Model Selection
Explanation
Primary Metrics
Validation Type
Introduction to Custom Vision
Project Types and Domains
Custom Vision Features
AI vs Generative AI
What is a LLM Large Language Model
Transformer models
Tokenization
Embeddings
Positional encoding
Attention
Introduction to Azure OpenAI Service
Azure OpenAI Studio
Azure OpenAI service pricing
What are Copilots
Prompt engineering
Grounding
Copilot demo
Setup
Computer Vision
Custom Vision Classification
Custom Vision Object Detection
Face Service
Form Recognizer
OCR
Text Analysis
QnAMaker
LUIS
AutoML
Designer
MNIST
Data Labeling
Clean up
Taught by
freeCodeCamp.org
