Microsoft Certification Courses in Kuwait

In Kuwait, Learners Point Academy offers an extensive range of Microsoft Certification Courses, focusing on Microsoft Azure, to equip individuals with diverse opportunities in cloud computing. Our meticulously designed courses include Microsoft Azure Architect Training, Microsoft Azure Administrator (AZ-104) Training, Microsoft Azure Developer Associate (AZ-204) Training, Microsoft Azure Security Technologies (AZ-500) Training, AZ-900 Training: Microsoft Azure Fundamentals, Microsoft Azure Architect Technologies (AZ-303) Training, AI-900T00 Microsoft Azure AI Fundamentals, and more. These courses empower participants with advanced and foundational principles of cloud computing using Microsoft Azure. By completing these courses, individuals gain the necessary knowledge and skills to pursue globally recognized certifications, opening doors to ample career advancement opportunities and exponential growth potential in Kuwait's dynamic cloud computing landscape.

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Learners Point has a reputation for high-quality training that makes a difference in people's lives. We undertake a practical and innovative approach to working closely with businesses to improve their workforce. Our expertise is wide-ranging with ample support from our expert trainers who are globally recognized and hold a diverse set of experiences in their field of expertise. We are proud of our instructors who take ownership of our distinctive and comprehensive training methodologies, help our students imbibe those with ease, and accomplish gracefully.

We at Learners Point believe in encouraging our students to embark upon a journey of lifelong learning and self-development, with the aid of our comprehensive and distinctive courses tailored to current market trends. The manifestation of our career-oriented approach is what we assure through a pleasant professional enriched environment with cutting-edge technology, and an outstanding while highly acknowledged training staff that uses up-to-date methodologies and quality course material. With our aim to mold professionals to be future leaders, our industry expert trainers provide the best in town mentorship to our students while endowing them with the thirst for knowledge and inspiring them to strive for professional and human excellence.

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Curriculum

Overview of the Microsoft Azure Platform
Building Application Infrastructure in Azure
Hosting Web Applications on the Azure Platform
Storing SQL Data in Azure
Designing Cloud Applications for Resiliency
Storing Tabular Data in Azure
Storing and Consuming Files from Azure Storage
Designing a Communication Strategy by Using Queues and Service Bus
Automating Integration with Azure Resources

Identity
Governance and Compliance
Azure Administration
Virtual Networking
Intersite Connectivity
Network Traffic Management
Azure Storage
Azure Virtual Machines
Serverless Computing
Data Protection
Monitoring

Module 1: Creating Azure App Service Web Apps
Module 2: Implement Azure functions
Module 3: Develop solutions that use blob storage
Module 4: Develop solutions that use Cosmos DB storage
Module 5: Implement IaaS solutions
Module 6: Implement user authentication and authorization
Module 7: Implement secure cloud solutions
Module 8: Implement API Management
Module 9: Develop App Service Logic Apps
Module 10: Develop event-based solutions
Module 11: Develop message-based solutions
Module 12: Monitor and optimize Azure solutions
Module 13: Integrate caching and content delivery within solutions

Implement Platform Protection
Manage Identity and Access
Manage Security Operations
Secure Data and Applications

Cloud Concepts
Core Azure Services
Azure Pricing and Support
Security, Privacy, Compliance, and Trust

Implement Cloud Infrastructure Monitoring
Implement Management and Security Solutions
Implement and Manage Data Platforms
Implement Solutions for Apps

Implement Cloud Infrastructure Monitoring
Implement Management and Security Solutions
Implement and Manage Data Platforms
Implement Solutions for Apps

Module 1: Get started with AI on Azure
Module 2: Use Automated Machine Learning in Azure Machine Learning
Module 3: Create a Regression Model with Azure Machine Learning Designer
Module 4: Create a Classification Model with Azure Machine Learning Designer
Module 5: Create a Clustering Model with Azure Machine Learning Designer
Module 6: Analyze Images with the Computer Vision Service
Module 7: Classify Images with the Custom Vision Service
Module 8: Detect Objects in Images with the Custom Vision Service
Module 9: Detect and Analyze Faces with the Face Service
Module 10: Read the Text with the Computer Vision Service
Module 11: Analyze Receipts with the Form Recognizer Service
Module 12: Analyze Text with the Language Service
Module 13: Recognize and Synthesize Speech
Module 14: Translate Text and Speech
Module 15: Create a Language Model with Conversational Language Understanding
Module 16: Build a Bot with the Language Service and Azure Bot Service

Module 1: Design Governance and Compute Solutions
Module 2: Design Storage and Data Integration Solutions
Module 4: Design Network, Continuity, and Migration Solutions
Module 3: Design App Architecture, Access, and Monitoring Solutions

Module 1: Design Governance and Compute Solutions
Module 2: Design Storage and Data Integration Solutions4
Module 3: Design App Architecture, Access, and Monitoring Solutions
Module 4: Design Network, Continuity, and Migration Solutions

Module 1: Get started with data engineering on Azure
Module 2:Build data analytics solutions using Azure Synapse Analytics serverless SQL pools
Module 3: Perform data engineering with Azure Synapse Apache Spark Pools
Module 4: Work with data warehouses using Azure Synapse Analytics
Module 5: Transfer and transform data with Azure Synapse Analytics Pipelines
Module 6: Work with hybrid transactional and analytical processing (HTAP) Solutions using Azure Synapse Analytics
Module 7: Implement a data streaming solution with Azure Stream Analytics
Module 8: Govern data across an enterprise
Module 9: Data Engineering with Azure Databricks

Module 1: Introduction to AI on Azure
Module 2: Developing AI Apps with Cognitive Services
Module 3: Getting Started with Natural Language Processing
Module 4: Building Speech-Enabled Applications
Module 6: Building a QnA Solution
Module 7: Conversational AI and the Azure Bot Service
Module 8: Getting Started with Computer Vision
Module 9: Developing Custom Vision Solutions
Module 10: Detecting, Analyzing, and Recognizing Faces
Module 11: Reading Text in Images and Documents
Module 12: Creating a Knowledge Mining Solution

Module 1: Getting Started with Azure Machine Learning
Module 2: Visual Tools for Machine Learning
Module 3: Running Experiments and Training Models
Module 4: Working with Data
Module 5: Working with Compute
Module 6: Orchestrating Machine Learning Workflows
Module 7: Deploying and Consuming Models
Module 8: Training Optimal Models
Module 9: Responsible Machine Learning
Module 10: Monitoring Models

Module 1: The Role of the Azure Database Administrator
Module 2: Plan and Implement Data Platform Resources
Module 3: Implement a Secure Environment
Module 4: Monitor and Optimize Operational Resources
Module 5: Optimize Query Performance
Module 6: Automation of Tasks
Module 7: Plan and Implement a High Availability and Disaster Recovery Environment

Module 1: Plan a Windows Virtual Desktop Architecture
Module 2: Implement a WVD Infrastructure
Module 3: Manage Access and Security
Module 4: Manage User Environments and Apps
Module 5: Monitor and maintain a WVD infrastructure

Phase 1: Collect
Phase 2: Detect
Phase 3: Investigate
Phase 4: Respond

Module 1: Azure subscriptions and resources (15-20%)
Module 2: Implement and manage storage (20-25%)
Module 3: Deploy and manage virtual machines (VMs) (20-25%)
Module 4: Configure and manage virtual networks (20-25%)
Module 5: Manage identities (15-20%)

Module 1: Planning and Assessing and Azure Migration
Module 2: Implementing a Migration (Azure Site Recovery)
Module 3: Introduction to Data Migration
Module 4: Backup and Disaster Recovery in Azure

Module 1: Building Globally Distributed Applications with Cosmos DB
Module 2: Migrate MongoDB Workloads to Cosmos DB
Module 3: Migrate Cassandra DB Workloads to Cosmos DB

Module 1: Migrate to Azure SQL DB for MySQL & PostgreSQL
Module 2: Migrate on-premises MySQL to Azure SQL DB for MySQL
Module 3: Migrate on-premises PostgreSQL to Azure SQL DB for PostgreSQL

Module 1: Implement Azure Active Directory
Module 2: Implement and Manage Hybrid Identities
Module 3: Implement Virtual Networking
Module 4: Implement VMs for Windows and Linux
Module 5: Implement Load Balancing and Network Security
Module 6: Implement Storage Accounts
Module 7: Implement NoSQL Databases
Module 8: Implement Azure SQL Databases
Module 9: Automate Deployment and Configuration of Resources
Module 10: Implement and Manage Azure Governance
Module 11: Manage Security for Applications
Module 12: Manage Workloads in Azure
Module 13: Implement Container-Based Applications
Module 14: Implement an Application Infrastructure
Module 15: Implement Cloud Infrastructure Monitoring

Module 1: Understand Azure Synapse Analytics
Module 2: Deploy an Azure Synapse Analytics Data Warehouse Instance
Module 3: Load and Analyze Data with Azure Synapse Analytics Data Warehouse
Module 4: Deploy an Azure Synapse Analytics Workspaces Instance
Module 5: Load and Analyze Data with Azure Synapse Studio
Module 6: Manage Compute for Azure Synapse Analytics

Module 1: Introduction
Module 2: Foundations of SAP on Azure
Module 3: SAP Certified Offerings on Azure
Module 4: SAP on Azure Reference Architecture
Module 5: Planning for Migrating SAP Workloads to Azure
Module 6: Implementing Azure VM-based SAP Solutions
Module 7: Module 8-Deploying HANA Large Instances (HLI)
Module 8: Migrating SAP Workloads to Azure
Module 9: Maintaining SAP on Azure
Module 10: Monitoring and Troubleshooting SAP on Azure

Module 0: Introduction to Data Analytics on Azure
Module 1: Model, Query, and Explore Data in Azure Synapse
Module 2: Prepare Data For Tabular Models in Power BI
Module 3: Use Tools to Optimize Power BI Performance
Module 4: Implement Advanced Data Visualization Techniques by Using Power BI
Module 5: Implement and Manage an Analytics Environment
Module 6: Manage the Analytics Development Lifecycle
Module 7: Govern data across an enterprise

Module 1: Create Azure App Service Web Apps
Module 2: Implement Azure functions
Module 3: Develop Solutions that Use Blob Storage
Module 4: Develop Solutions that use Cosmos DB Storage
Module 5: Implement User Authentication and Authorization
Module 6: Implement Secure Cloud Solutions
Module 7: Implement API Management
Module 8: Develop Event-based Solutions
Module 9: Develop Message-based Solutions
Module 10: Monitor and Optimize Azure solutions

Module 1: Azure Virtual Networks
Module 2: Design and Implement Hybrid Networking
Module 3: Design and implement Azure ExpressRoute
Module 4: Load balancing non-HTTP(S) traffic in Azure
Module 5: Load balancing HTTP(S) traffic in Azure
Module 6: Design and implement network security
Module 7: Design and implement private access to Azure Services

Module 1: Introduction to Data Warehouse
Module 2: Planning Data Warehouse Infrastructure
Module 3: Designing and Implementing a Warehouse
Module 4: Columnstore Indexes
Module 5: Implementing an Azure SQL Data Warehouse
Module 6: Creation and Setup Azure Data Factory
Module 7: Creation of Azure Data Factory Components
Module 8: Learn with Examples Part-1
Module 9: Learn with Examples Part-2
Module 10: Consume Data from Data Warehouse

Frequently asked questions

The training sessions at Learners Point are interactive, immersive, and intensive hands-on programs. We offer 3 modes of delivery and participants can choose from instructor-led classroom-based group coaching, one-to-one training session, or high-quality live and interactive online sessions as per convenience.

At Learners Point, if a participant doesn’t wish to proceed with the training after the registration due to any reason, he or she is entitled to a 100% refund. However, the refund will be issued only if we are notified in writing within 2 days from the date of registration. The refund will be processed within 4 weeks from the day of exit.