Udemy – Azure Mastery: DP-100| AI-900| DP-900| DP-300| AI Chatbot 2024-6

Published on: 2024-07-15 23:36:44

Categories: 28

Descriptions

Azure Mastery: DP-100| AI-900| DP-900| DP-300| AI Chatbot, a comprehensive learning journey designed to equip you with the knowledge and skills needed to excel in the rapidly evolving field of cloud computing and data science. This course covers a wide array of topics, from foundational principles to advanced applications, ensuring a well-rounded understanding of Microsoft Azure’s extensive capabilities. Microsoft Azure is one of the leading cloud platforms, offering a vast range of services that support various business needs, including data storage, machine learning, AI, and database management. With the increasing demand for cloud-based solutions, proficiency in Azure has become a valuable asset for IT professionals, data scientists, and developers. Our course is structured into distinct sections, each focusing on a specific aspect of Azure. You will start with an introduction to Azure’s data science capabilities and progress through foundational AI concepts, data fundamentals, and relational database management.

Practical sections on cognitive services and AI-based chatbot creation will enhance your hands-on experience, while sections on Azure essentials and data lake management will solidify your foundational knowledge. Whether you are preparing for Microsoft certification exams or seeking to expand your practical skills, this course offers a blend of theoretical knowledge and practical application. You will engage with interactive lessons, real-world scenarios, and step-by-step guides, ensuring a robust learning experience. By the end of this course, you will be well-prepared to leverage Microsoft Azure’s powerful tools and services, ready to tackle complex challenges and drive innovation in your organization. Welcome to your journey towards Azure mastery!

What you’ll learn

Create and manage Azure Machine Learning workspaces.
Develop and submit machine learning pipelines using Azure ML Designer and SDK.
Understand AI concepts and explore common AI workloads.
Utilize Azure Cognitive Services for computer vision and natural language processing (NLP).
Learn data representation and storage options in Azure, including SQL and Cosmos DB.
Set up and manage Azure SQL databases, ensuring security and scalability.
Understand the fundamentals of cloud computing and Azure’s core services.
Create and manage virtual machines, storage solutions, and virtual networks in Azure.
Implement high availability and scaling solutions for Azure resources.
Create and manage Azure Data Lake, including data processing and analytics.

Who this course is for

Aspiring Data Scientists: Individuals aiming to build a career in data science and machine learning using Microsoft Azure.
Data Engineers: Professionals involved in designing and managing data processing systems who want to incorporate machine learning capabilities.
AI Engineers: Those interested in developing AI solutions on the Azure platform.
IT Professionals: System administrators or IT managers looking to understand Azure’s capabilities for machine learning and data analytics.
Students and Graduates: Those pursuing studies in computer science, data science, or related fields seeking practical knowledge of Azure’s data science offerings.
Professionals Transitioning to Data Science: Individuals from non-technical backgrounds looking to transition into data science and AI roles.
Technology Enthusiasts: Anyone passionate about exploring advanced data analytics and machine learning in the cloud environment.

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

Publisher : Udemy
Teacher : EDUCBA Bridging the Gap
Language : English
Level : All Levels
Number of Course : 371
Duration : 43 hours and 10 minutes

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

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

Requirements

Basic Understanding of Cloud Concepts: Familiarity with cloud computing principles.
Fundamental Knowledge of Machine Learning: Basic understanding of machine learning concepts and terminology.
Programming Experience: Proficiency in at least one programming language, preferably Python.
Azure Basics: Prior experience or knowledge of Microsoft Azure’s core services.