Machine Learning

1: Understanding Artificial Intelligence Fundamentals

AI fundamentals and concepts
Applications and impact of AI across industries
Overview of machine learning and its subfields

2: Introduction to Microsoft Azure

Introduction to Microsoft Azure and its AI capabilities
Overview of Azure Machine Learning service and AI services
Setting up Azure environment for AI development

3: Exploring Azure AI Services

Understanding Azure Cognitive Services (Vision, Speech, Language, Decision)
Implementing Computer Vision for image recognition
Building conversational AI with Azure Speech and Language Services

4: Azure Machine Learning Basics

Introduction to Azure Machine Learning Studio
Managing data and creating datasets in Azure ML
Preprocessing data for machine learning models

5: Supervised Learning Algorithms

Understanding supervised learning and its types
Implementing regression and classification algorithms in Azure ML
Model evaluation and performance metrics

6: Unsupervised Learning Algorithms

Introduction to unsupervised learning and clustering
Using Azure ML for clustering and anomaly detection
Dimensionality reduction techniques

7: Model Training and Evaluation

Training machine learning models using Azure ML
Hyperparameter tuning and model optimization
Evaluating model performance and avoiding overfitting

8: Deploying Machine Learning Models

Deploying machine learning models as web services in Azure
Integrating AI models into applications using Azure ML endpoints
Managing and monitoring deployed models

9: Time Series Analysis and Forecasting

Introduction to time series data and its challenges
Time series forecasting using Azure ML

10: Reinforcement Learning and AI Ethics

Overview of reinforcement learning and its applications
Understanding the ethical implications of AI and responsible AI practices

11: Advanced AI Applications with Azure

Deep learning and neural networks with Azure ML
Natural Language Processing (NLP) using Azure Cognitive Services
Building AI-powered recommendation systems

12: Real-world Projects and Case Studies

Working on practical AI projects and use cases
Showcasing AI solutions using Azure AI and Machine Learning

Courses

Note: This syllabus outlines the core topics covered in our MS Azure AI Fundamentals / Machine Learning Training. The course content can be further tailored to accommodate advanced machine learning topics, industry-specific applications, and specific AI use cases based on the participants' needs and course objectives.

MS Azure AI fundamentals / machine learning Syllabus Training Syllabus

Syllabus