Azure Mastery: DP-100| AI-900| DP-900| DP-300| AI Chatbot

Master Microsoft Azure: Your Comprehensive Cloud Computing & Data Science Journey

Unlock the power of cloud computing and data science with the Microsoft Azure Mastery Course. This comprehensive learning path equips you with the essential knowledge and practical skills to thrive in the rapidly growing field of cloud technology. Explore a wide range of Microsoft Azure services, from foundational concepts to advanced applications, and gain a well-rounded understanding of this leading cloud platform.

Why Choose Azure?

Microsoft Azure is a premier cloud platform offering a vast array of services to meet diverse business needs. Leverage Azure for:

• Data Storage: Securely store and manage your data in the cloud.
• Machine Learning: Build and deploy intelligent applications with powerful AI tools.
• Artificial Intelligence (AI): Integrate AI capabilities into your workflows.
• Database Management: Manage relational and NoSQL databases with ease.

Who is this course for?

This course is ideal for:

• IT Professionals
• Data Scientists
• Developers
• Anyone seeking to enhance their cloud computing skills
• Those preparing for Microsoft Azure certification exams.

Course Breakdown:

Section 1: DP-100 Microsoft Azure Data Science Exam

Gain expertise in Azure data science with hands-on experience. Learn to:

• Create and manage an Azure Machine Learning workspace.
• Build and submit machine learning pipelines.
• Utilize AutoML for automated model building.
• Deploy models using various deployment strategies.
• Understand Azure ML Designer and SDK setup.

Section 2: AI-900 MS Azure AI Fundamentals

Build a strong foundation in artificial intelligence (AI) with Microsoft Azure AI Fundamentals. Explore:

• Common AI workloads and their applications.
• Responsible AI principles and ethical considerations.
• Machine learning types and dataset features.
• Practical experience with AutoML and machine learning designer tools.
• Computer vision and natural language processing (NLP) workloads.

Section 3: DP-900 Azure Data Fundamentals

Master the fundamentals of Azure data including:

• Relational and non-relational databases (SQL, NoSQL).
• Data normalization and database design.
• Creating and managing Azure SQL and Cosmos DB.
• Data warehousing with Azure Data Factory.
• Data visualization using Power BI.

Section 4: DP-300 Azure Relational DBA

Become proficient in managing relational databases in Azure. Learn to:

• Manage Azure SQL database options.
• Create and manage Azure VMs and deploy SQL servers.
• Implement availability and backup strategies.
• Apply security measures for SQL databases.
• Utilize scaling techniques and data synchronization.

Section 5: Microsoft Azure - Basics

Understand the core principles of Microsoft Azure and cloud computing. Cover:

• Cloud computing principles and history of Azure.
• Key cloud services and deployment models.
• Azure account registration and the Azure portal.
• Azure virtual machines, storage options, and networking configurations.
• Utilizing Azure PowerShell and CLI.

Section 6: Azure Practical - Cognitive Services

Explore the power of Azure Cognitive Services with practical exercises. Learn to:

• Utilize vision APIs, face API, custom vision, and more.
• Implement speech APIs (speech-to-text, text-to-speech, translation).
• Leverage language services for sentiment analysis, entity recognition, and QnA Maker.

Section 7: Azure Cognitive Services - Creating an AI-Based Chatbot

Develop an AI-based chatbot using Azure Cognitive Services. Learn to:

• Utilize the QnA service for knowledge base creation.
• Create a Java application for chatbot functionality.
• Deploy and manage your chatbot application.

Section 8: Microsoft Azure - Essentials

Delve into the essential principles and services of Microsoft Azure. Explore:

• Cloud deployment models and Azure architecture.
• Azure Resource Manager (ARM) and Azure Service Manager (ASM) portals.
• Subscription management and utilizing Azure PowerShell and CLI.

Section 9: Microsoft Azure - Data Lake

Master Azure Data Lake for efficient data storage and processing. Learn to:

• Create analytics accounts and process data within the