Artificial Intelligence and Machine learning with Azure Training

Live Online & Classroom Enterprise Training

An Artificial Intelligence and Machine Learning with Azure course provides a comprehensive understanding of AI development using Microsoft Azure.

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What is Artificial Intelligence and Machine learning with Azure Course about?

An Artificial Intelligence and Machine Learning with Azure course provides a comprehensive understanding of AI development using Microsoft Azure. It covers key services like Azure Machine Learning, Cognitive Services, and AI-powered analytics. The course focuses on model training, evaluation, and deployment in a cloud environment. It includes automation, data processing, and real-world AI applications. Learners gain hands-on experience with Azure tools for building intelligent solutions. The course prepares individuals for AI-driven decision-making and innovation.

What are the objectives of Artificial Intelligence and Machine learning with Azure Course ?

Understand Azure AI and ML Services: Learn the architecture, tools, and capabilities of Azure AI and Machine Learning platforms.
Build and Train ML Models: Design, train, and evaluate machine learning models using Azure Machine Learning Studio and SDKs.
Deploy Intelligent Solutions: Deploy and operationalize AI and ML models in real-world scenarios using Azure services.
Utilize Cognitive Services: Implement Azure Cognitive Services for tasks like computer vision, natural language processing, and speech recognition.
Automate and Optimize Workflows: Automate model training and deployment pipelines using Azure ML capabilities like MLOps and AutoML.

Who is Artificial Intelligence and Machine learning with Azure Course for?

Data Scientists and AI Engineers: Professionals looking to expand their expertise in deploying AI and ML solutions using Azure.
Software Developers: Developers aiming to integrate AI and ML capabilities into their applications.
IT Professionals: Teams responsible for managing and operationalizing AI and ML projects in enterprise environments.
Business Analysts and Solution Architects: Stakeholders seeking to understand AI/ML workflows for driving data-driven decision-making.
Students and Researchers: Learners exploring career opportunities in AI and ML domains.

What are the prerequisites for Artificial Intelligence and Machine learning with Azure Course?

Basic understanding of programming (Python preferred), Familiarity with cloud computing concepts, Foundational knowledge of AI/ML concepts is recommended but not mandatory.

Available Training Modes

Live Online Training

4 Days

Self-Paced Training

32 Hours

Course Outline Expand All

Expand All

Module 1: Introduction to AI and Machine Learning on Azure

Overview of AI and ML concepts

Azure AI ecosystem and services

Key tools: Azure Machine Learning Studio, SDKs, and APIs

Setting up Azure environments for AI/ML

Module 2: Data Preparation and Feature Engineering

Data collection, cleaning, and transformation in Azure

Exploratory data analysis using Azure ML

Feature selection and engineering techniques

Module 3: Building Machine Learning Models

Supervised and unsupervised learning algorithms

Training and validating models with Azure ML Studio

Implementing AutoML for automated model selection

Hands-on lab: Building a predictive model

Module 4: Deploying and Operationalizing Models

Model deployment using Azure ML

Creating REST endpoints for AI services

Introduction to MLOps: Continuous integration and deployment pipelines

Hands-on lab: Deploying a real-world AI solution

Module 5: Cognitive Services and Pre-Trained AI Models

Overview of Azure Cognitive Services

Implementing computer vision, text analytics, and speech recognition

Hands-on lab: Building an AI-powered chatbot

Module 6: Advanced AI and ML Techniques

Deep learning with Azure

Reinforcement learning concepts

Using Azure GPU/TPU services for model training

Hands-on lab: Implementing a deep learning model

Module 7: Ethical AI and Responsible Development

Understanding AI fairness, privacy, and transparency

Best practices for responsible AI development

Case studies: Ethical challenges in AI/ML

Who is the instructor for this training?

The trainer for this Artificial Intelligence and Machine learning with Azure Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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