Get a comprehensive view of all the training sessions scheduled for the year with our Training Calendar. Now plan your training schedule and choose from a range of courses at your convenience.
Our calendar makes it easier for you to choose from our diverse range of courses. The calendar includes different types of courses, such as one-day sessions & boot camps, enterprise training, and certification courses. Not only do you get a clear picture of what courses are available, but you can also choose courses that best suit your schedule.
Claude Certified Architect – Foundations is an advanced course for solution architects and senior engineers who design production-grade, agentic applications powered by Claude. It aligns with Anthropic’s first official technical certification (CCA – Foundations).
The course maps directly to the five official exam domains: Agentic Architecture & Orchestration, Tool Design & MCP Integration, Claude Code Configuration & Workflows, Prompt Engineering & Structured Output, and Context Management & Reliability.
Emphasis is placed on architectural judgment—orchestration patterns, guardrails, MCP integration, Claude Code workflows, and reliability at scale—so learners can design robust Claude solutions and pass the Architect – Foundations exam.
Claude Certified Associate – Foundations is an entry-level, hands-on course that prepares learners to confidently and responsibly use Claude across business, analytical, and technical-adjacent tasks. It is the ideal starting point for anyone entering the Anthropic certification pathway.
The course introduces the Claude model family, the Claude apps (web, desktop, and mobile), Projects, and core prompting techniques. Learners understand how agentic AI differs from traditional chatbots and prompt-only tools, and how to get reliable, high-quality output from Claude.
Emphasis is placed on prompt fundamentals, safe and responsible AI usage, and applying Claude to real productivity scenarios—so learners are ready to pass the Associate – Foundations exam and immediately add value in their teams.
AI-200: Develop AI Cloud Solutions on Microsoft Azure
The AI-200T00-A course focuses on developing AI-powered cloud solutions using Microsoft Azure services and modern application architectures. Learners will explore how to build scalable AI-driven applications using Azure compute services, containerized workloads, serverless APIs, and event-driven integrations. The course also covers the implementation of intelligent workflows using Azure Service Bus, Event Grid, and Azure Functions for enterprise-grade AI application orchestration.
Participants will gain practical exposure to Azure data services that support AI workloads, including Cosmos DB for NoSQL, Azure Database for PostgreSQL with pgvector, and Azure Managed Redis for vector search, streaming, and caching scenarios. Through hands-on activities and guided demonstrations, learners will understand how to design secure, scalable, observable, and production-ready AI cloud applications using Microsoft Azure technologies.
By the end of the course, learners will be able to connect Azure services, orchestrate AI workflows, implement secure architectures, and develop enterprise AI applications capable of supporting modern intelligent business solutions.
Building Agentic AI with Amazon Bedrock AgentCore is an intermediate, 1-day instructor-led AWS classroom training designed to help learners move agentic AI systems from experimentation to enterprise-grade production.
Participants explore agentic AI patterns, understand core agent components and their interactions, and implement production-ready architectures using Amazon Bedrock AgentCore capabilities such as Runtime, Identity, Policy, Gateway, Memory, Observability, and Evaluations.
The course combines presentations, hands-on labs, and group exercises to ensure learners can confidently design, secure, deploy, and monitor agentic AI systems in real-world environments.
Building Advanced Agentic Systems on AWS is a 1‑day advanced-level AWS classroom training designed for developers and technical teams ready to build real-world, production-grade multi-agent systems.
The course covers multi-agent communication patterns, context engineering, security controls, VPC integration, policy-based access, observability, distributed tracing, and evaluation frameworks. Hands-on labs and instructor demonstrations help learners design and deploy scalable agent architectures using Amazon Bedrock AgentCore.
AB-900T00: Microsoft 365 Certified: Copilot and Agent Administration Fundamentals
The AB-900T00: Introduction to Microsoft 365 and AI Administration course provides learners with a strong foundation in Microsoft 365 services, Copilot, and AI-powered agents. Participants explore the capabilities of Microsoft 365 Copilot, understand how AI agents can automate workflows, and learn basic administrative controls for managing users, data, and security. The course also introduces key integration points between AI and Microsoft 365, helping learners understand how these technologies can enhance productivity, collaboration, and personalized user experiences.
The Data Engineering on AWS course is designed for data professionals who want to learn how to design, build, secure, and optimize data pipelines on AWS. Through a combination of lectures, demonstrations, and hands-on labs, participants will gain practical experience in ingesting, transforming, storing, and analyzing data using AWS data services.
This course covers essential data engineering topics such as data lakes, batch and streaming data processing, orchestration, and automation, enabling learners to create scalable, efficient, and secure data pipelines aligned with AWS best practices.
By the end of this course, learners will have the skills to design and implement data workflows for real-world analytics and machine learning applications.
This 1-day, fundamental-level training introduces participants to the principles, components, and AWS services that power Agentic AI. You’ll explore how agentic systems differ from traditional conversational AI, learn workflows, autonomous agents, hybrid architectures, and gain hands-on experience building goal-driven AI solutions with Amazon Bedrock Agents and AgentCore.
Machine Learning Engineering on AWS helps learners build the skills required to design, build, train, tune, deploy, monitor, and maintain machine learning solutions on AWS. The course focuses on the full ML lifecycle, including data preparation, feature engineering, model development, Amazon SageMaker, model deployment, MLOps, CI/CD, monitoring, security, and performance optimization.
This training is suitable for learners preparing for AWS machine learning engineering roles and the AWS Certified Machine Learning Engineer Associate certification. AWS lists the certification as Associate level, with a 130-minute exam, 65 questions, and a USD 150 exam fee.
SC-401: Information Security Administrator Associate
As an Information Security Administrator, you safeguard sensitive data using Microsoft Purview and related services. Your role involves mitigating risks within Microsoft 365 collaboration environments and AI services, implementing data protection, loss prevention, retention, and insider risk management. You manage security alerts and activities, working with governance, data, and security roles to develop policies that meet organizational security goals. Collaboration with workload administrators, business application owners, and governance stakeholders is key to implementing necessary policies and controls. Familiarity with Microsoft 365 services, PowerShell, Microsoft Entra, the Microsoft Defender portal, and Microsoft Defender for Cloud Apps is essential.
This one-day training course offers a comprehensive introduction to generative AI using AWS services. Participants will explore key concepts, practical use cases, and hands-on labs to optimize AI model performance. The course emphasizes responsible AI principles, security, governance, and compliance, ensuring ethical AI practices. Through real-world demos and a capstone project, attendees will gain the skills needed to implement generative AI projects and integrate them into the development lifecycle. Ideal for career advancement in AI, the course provides networking opportunities and post-training support.
DP-700: Implementing Data Engineering Solutions Using Microsoft Fabric
This course covers methods and practices for implementing and managing data engineering operations using Microsoft Fabric. This course is mainly targeted for Business Analysts, Data Analysts, Data Engineers and Data Scientists. Students will build on existing experience on data engineering and will learn how to use Microsoft Fabric components in-depth for Data Engineering purposes, like workspace settings, lakehouses, data warehouses, spark notebooks, dataflows, data pipelines, event streams, and semantic models to create and deploy data engineering assets. They also learn to implement analytics best practices in Fabric, including identifying and resolving errors, optimization, achieve data security and governance, enable version control and deployment.
Fabric Data Engineers collaborate with other professionals, such as analytics engineers, architects, analysts, and administrators to design and deploy data engineering solutions for analytics.
The AWS Cloud Practitioner Essentials covers the following domains:
Cloud Concepts: This domain assesses your understanding of the fundamental aspects of cloud computing and how AWS implements these concepts. It covers topics such as the advantages of using the AWS Cloud, the different types of cloud computing, and the basic global infrastructure of AWS.
Security and Compliance: This domain evaluates your understanding of AWS security and compliance concepts and the shared responsibility model. It covers topics such as the AWS shared responsibility model, AWS security and compliance concepts, and the AWS access management capabilities.
Technology: This domain examines your understanding of AWS Cloud services and their use cases. It covers topics such as the different AWS service categories, key AWS services, and their common use cases.
Billing and Pricing: This domain assesses your understanding of AWS billing, account management, and pricing models. It covers topics such as the fundamentals of AWS billing, pricing models for various AWS services, and account management best practices.
Do you want generative AI to enhance customer experiences and resolve challenging business issues? Developing Generative AI Applications on AWS teaches you how to create generative AI applications.
During this two-day course, a knowledgeable instructor with experience in Python will walk you through the fundamentals, advantages, and related jargon of generative artificial intelligence as a developer. In order to create generative AI applications using AWS services, you will discover the fundamentals of prompt engineering, how to plan a generative AI project, and more. By the end of the course, you will acquire the knowledge and abilities required to create applications that can answer queries, create and summarize text, and communicate with users via a chatbot interface.
AWS Security Essentials is fundamental-level 1-day course covers fundamental security concepts on AWS Cloud. This course covers AWS access control, data encryption methods, and how to secure the network access to your AWS infrastructure. Learners get to understand AWS Shared Responsibility Model which divides the responsibility of security of the cloud and security in the cloud amongst AWS and customers respectively. Security needs of an organization implemented as Security-oriented services available in AWS will be the highlight of this training.
The MLOps Engineering on AWS course is designed to provide hands-on experience and knowledge in building, training, deploying, monitoring, and managing machine learning models on AWS. The course will guide you through setting up the environment, designing ML pipelines, and implementing the best practices to ensure high-performing and scalable solutions.
Introduction to MLOps on AWS: Understanding the key concepts and principles of MLOps and its importance in the machine learning lifecycle. Exploring the AWS ecosystem for MLOps, including Amazon SageMaker, AWS Lambda, Amazon S3, AWS Batch, and more.
Building and Deploying Machine Learning Models on AWS: Designing and implementing end-to-end machine learning pipelines on AWS. This includes data preprocessing, model training, model evaluation, and model deployment using Amazon SageMaker and other AWS services.
Monitoring and Managing Machine Learning Models on AWS: Monitoring machine learning models in production using Amazon CloudWatch and other AWS monitoring tools. Understanding best practices for managing and scaling machine learning infrastructure on AWS.
Optimizing and Scaling Machine Learning Workloads on AWS: Troubleshooting and optimizing machine learning pipelines for performance and scalability. Exploring strategies for automating and scaling machine learning workloads using AWS Batch, AWS Lambda, and other AWS services.
Introduction to Amazon SageMaker Studio: An overview of SageMaker Studio’s features, including its integrated Jupyter notebooks, model debugging, and experimentation tools.
Data Preprocessing: Techniques for preparing and cleaning datasets for training and inference.
Model Building and Training: How to build and train machine learning models using SageMaker’s built-in algorithms and AutoML capabilities.
Model Deployment and Monitoring: Deploying models to SageMaker endpoints and monitoring their performance.
Continuous Integration/Continuous Deployment (CI/CD) Pipelines: Automating the process of deploying and updating models in production.
This course will teach you how to use Amazon EMR, an enterprise-grade managed service for Apache Spark and Apache Hadoop, to create batch data analytics solutions. You will discover how AWS services such as AWS Glue and AWS Lake Formation, as well as open-source initiatives such as Apache Hive, Hue, and HBase, are integrated with Amazon EMR. In the context of Spark and Hadoop, the course covers data ingestion, cataloging, storage, and processing. You will gain knowledge on how to support workloads related to machine learning and analytics using EMR Notebooks. Additionally, you will learn best practices for cost management, performance, and security when using Amazon EMR.
Building Data Analytics Solutions using Amazon Redshift
This course guides you through creating an end-to-end analytics solution using Amazon Redshift, a managed cloud-based data warehouse. It covers the complete data lifecycle—from gathering and ingesting data to organizing, storing, and transforming it for analysis. You will also learn how to integrate Redshift with a data lake to support advanced analytics and machine learning scenarios. Along the way, the course highlights practical approaches to ensure data security, improve system performance, and manage costs effectively.
Building Streaming Data Analytics Solutions on AWS
Through a combination of instructor-led presentations, practice labs, demonstrations, and in-class exercises, the course delves deeply into Amazon Kinesis and Amazon MSK so that you can leave with an understanding of how to create a streaming data analytics solution on AWS. Along with these skills, you’ll learn how to use Amazon Kinesis and Amazon MSK to scale streaming applications, optimize data storage, choose and implement the best options for ingesting, transforming, storing, and analyzing data.
Exam PL-900: Introduction to Microsoft Power Platform
PL-900 exam measures your ability to describe the business value of Power Platform; identify the core components of Power Platform; demonstrate the capabilities of Power BI; describe the capabilities of Power Apps; demonstrate the capabilities of Power Automate; and demonstrate the business value of Power Virtual Agents.
PL-300 Certification Training, Microsoft Power BI Data Analyst
PL-300 is a Microsoft certification exam focusing on the tool Power BI, including designing solutions, creating solutions, implementing solutions, and supporting organizational adoption of the Power Platform.
The Microsoft PL-300 Power BI course is structured to provide instruction on utilizing Power BI, a business intelligence tool that empowers users to analyze and visualize data from diverse sources. PL-300 power bi course covers the following topics:
Introduction to Power BI: This section provides an overview of Power BI, including its capabilities, architecture, and data sources.
Connecting to Data: This section covers how to establish connections with diverse data sources, such
as Excel, SQL Server, and cloud-based data sources.
Data Modeling: Learn to create relationships between tables, develop calculated columns and measures, and build hierarchies.
Visualizations: Discover how to create and customize visualizations, such as tables, charts, maps, and gauges.
Dashboards and Reports: Understand how to create dashboards and reports to meaningfully visualize data and share it with others.
Publishing and Sharing: Learn to publish and share dashboards and reports within your organization.
Power BI Service: Explore the Power BI service, including accessing it, working in workspaces, and collaborating.
The PL 300 certification course typically includes hands-on labs and exercises to reinforce your learning. Upon completing the course, you will have a solid understanding of Power BI, enabling you to create visualizations, dashboards, and reports that provide valuable insights from data.
Microsoft Power BI Data Analyst-Exam Details (PL 300)
Certification Name
Microsoft Certified: Power BI Data Analyst Associate
In PL-400 Microsoft Power Platform Developer Associate certification course from CloudThat, In PL-400 Microsoft Power Platform Developer Associate certification course from CloudThat, candidates learn to design, test, develop, secure, and troubleshoot Microsoft Power Platform solutions. Candidates also learn how to implement system integrations, application enhancements, data conversions, custom user experiences, and custom process automation. The Microsoft Power Platform helps organizations optimize operations by simplifying, automating, and transforming business tasks and processes.
Note: Exam PL-400 replaced exam MB-400 which retired on 31st December 2020.
AZ-104 Certification Training, Microsoft Azure Administrator
The AZ-104 Microsoft Azure Administrator Associate certification training from CloudThat offers candidates proper training and relevant study material to clear the new this exam targeted for Azure Administrators. Taking up this Azure 104 certification training and passing the exam will meet all the Azure certification requirements necessary to be a certified Microsoft Azure 104 Administrator Associate.
As part of a larger team, Azure administrator performs various roles, including implementation of an organization’s cloud infrastructure. In addition, the responsibilities of Azure AZ 104 administrator also include managing, implementing, and monitoring identity, storage, governance, compute, and virtual networks in a cloud environment, along with monitoring and adjusting resources when required.
AZ-305: Designing Microsoft Azure Infrastructure Solution
Candidates for this AZ-305 Exam should have advanced experience and knowledge of IT operations, including networking, virtualization, identity, security, business continuity, disaster recovery, data platforms, and governance. A professional in this role should manage how decisions in each area affect an overall solution. In addition, they should have experience in Azure administration, Azure development, and DevOps processes.
This course from CloudThat is for the Azure Fundamentals exam AZ-900 targeted for anyone looking to demonstrate foundational level knowledge of Cloud services and how those services are provided with Microsoft Azure. Taking this course and passing the AZ-900 exam meets all the requirements for Microsoft Certified Azure Fundamentals certification.
The exam is intended for candidates with non-technical backgrounds, such as those involved in selling or purchasing Cloud-based solutions and services or who have some involvement with Cloud-based solutions and services, as well as those with a technical background who have a need to validate their foundational level knowledge around Cloud services.
The course will cover general Cloud computing concepts as well as general Cloud computing models and services such as Public, Private and Hybrid Cloud and Infrastructure-as-a-Service (IaaS), Platform-as-a-Service(PaaS) and Software-as-a-Service (SaaS). It will also cover some core Azure services and solutions, as well as key Azure pillar services concerning security, privacy, compliance and trust. It will finally cover pricing and support services available with Azure.
SC-100: Microsoft Cybersecurity Architect Training Course
The Microsoft Cybersecurity Architect certification training from CloudThat has been designed for candidates for SC-100 training to become a Microsoft certified Cybersecurity Architect Expert. This course teaches candidates; how to design a Zero Trust strategy and architecture; evaluate Governance Risk Compliance (GRC) technical strategies and security operations strategies; design security for infrastructure; and design a strategy for data and applications.
The Microsoft cybersecurity architect has subject matter expertise in designing and evolving the cybersecurity strategy to protect an organization’s mission and business processes across all aspects of the enterprise architecture. The cybersecurity architect continuously collaborates with leaders and practitioners in IT security, privacy, and other roles across an organization to plan and implement a cybersecurity
strategy that meets the business needs of an organization.
This course covers Managing Microsoft Teams and maintaining internal and external collaboration and communication solutions using Teams and Microsoft 365.
This course helps in configuring and managing teams, channels, chat, apps, calling, meetings, and events. How we can manage phone numbers and services for Teams Phone. How to manage the operational aspects of Teams, clients and devices. How to collaborate with owners of other workloads, including networking, identity, licensing, information management, and user adoption.
The course will help you learn concepts for how to work with Microsoft teams and manage the various features available in Teams.
SC-300: Microsoft Identity and Access Administrator
This Microsoft Identity and Access Administrator certification training course from CloudThat teaches candidates how to design, implement, and operate an organization’s identity and access management systems using Azure Active Directory (Azure AD). Candidates taking up this Azure SC-300 course also learn how to secure authentication and authorization access to enterprise applications and provide seamless experiences and self-service management capabilities to all users. An Identity and Access Administrator Associate is also responsible for monitoring, troubleshooting, and reporting on the identity and access environment.
This Microsoft Security Operations Analyst certification training from CloudThat teaches candidates how to mitigate threats using Microsoft 365 Defender, Microsoft Defender for Cloud, and Microsoft Sentinel. Candidates taking up course SC-200 also learn to secure information technology systems, reduce organizational risk, advise best practices for threat protection, and refer violations of organizational policies to stakeholders.
The responsibilities of Azure Security Operations Analyst include threat management, response, and monitoring, using a variety of security solutions. They also use Azure Defender, Microsoft Azure Sentinel, Microsoft 365 Defender, and third-party security products to investigate, respond, and identify threats.
AZ-700: Designing and Implementing Microsoft Azure Networking Solutions
This AZ-700AZURE NETWORK ENGINEERcertification training course equips the aspirants with required skills and knowledge to be a successful network administrator with all the necessary skills and get a qualifying AZ-700 certificate.
Advanced Architecting on AWS training is designed for cloud architects and solutions architects who want to design complex AWS environments. The course covers multi-account strategy, hybrid connectivity, AWS Transit Gateway, containers, CI/CD automation, DDoS protection, data security, large-scale data stores, edge services, migration, cost optimisation, and architecture decision-making through labs and a capstone project.
This course supports professionals preparing for advanced cloud architecture responsibilities and for the AWS Certified Solutions Architect Professional certification. AWS lists this certification at the Professional level, with a 180-minute exam, 75 questions, and a USD 300 exam fee.
This Migrating to AWS course from CloudThat offers candidates an understanding of how to plan and migrate existing workloads to the AWS Cloud. Candidates taking up this AWS Cloud Migration training to learn about various cloud migration strategies and how to conduct a migration, apply portfolio discovery, post-migration validation, application optimization, and application migration planning and design.
This Migrating to AWS course provides hands-on lab, learning sessions to provide candidates with an in-depth understanding about migration concepts and knowledge necessary to complete migration tasks. The course comprises presentations, demonstrations, assessments, and group exercises.
The course content usually covers the following key topics:
Introduction to AWS: Overview of the AWS platform, its global infrastructure, and key service domains.
AWS Architecture: Understanding the basic architectural principles of AWS, including regions, availability zones, and edge locations.
Compute Services: Overview of various compute services offered by AWS, such as Amazon Elastic Compute Cloud (EC2) and AWS Lambda.
Storage Services: Introduction to different storage services, including Amazon Simple Storage Service (S3), Amazon Elastic Block Store (EBS), and Amazon Glacier.
Networking and Content Delivery: Basic networking concepts within AWS, including Amazon Virtual Private Cloud (VPC), Route 53, and CloudFront.
Databases on AWS: Overview of database services provided by AWS, including Amazon Relational Database Service (RDS) and Amazon DynamoDB.
Security and Identity Services: Introduction to the security and identity services available on AWS, such as AWS Identity and Access Management (IAM) and AWS Key Management Service (KMS).
AWS Management Tools: Overview of various management and monitoring tools, including AWS CloudTrail, AWS CloudWatch, and AWS Trusted Advisor.
The course is intended to provide a broad overview of the AWS platform and its key services, enabling participants to understand the basic building blocks of cloud architecture and how to use various AWS services effectively. It serves as a starting point for individuals looking to gain a foundational understanding of AWS and prepare for more advanced AWS courses.
SC-900: Microsoft Security, Compliance, and Identity Fundamentals
This Microsoft Security, Compliance, and Identity Fundamentals certification course from CloudThat teach candidates the fundamentals of security, compliance, and identity (SCI) across cloud-based and related Microsoft services. By taking this course, candidates will acquire foundational knowledge on security, compliance, identity concepts, and related cloud-based Microsoft solutions.
For candidates interested in expanding their technical skills with role-based certifications focused on security operations, identity and access management, and information protection, this Microsoft SC-900 certification is the ideal course to explore career opportunities in the field of cybersecurity.
Note: This Course has been retired. A new version of this exam, Exam MS-102: Microsoft 365 Administrator, is available. Do visit this course page for more details.
The Microsoft 365 Mobility and Security certification training course from CloudThat offers candidates proper training and relevant study material to prepare and successfully clear the MS-101 exam. This course covers three central elements of Microsoft 365 enterprise administration – Microsoft 365 security management, Microsoft 365 compliance management, and Microsoft 365 device management. In Microsoft 365 security management, candidates will examine all the common types of threat vectors and data breaches facing organizations today, and they will learn how Microsoft 365’s security solutions address these security threats.
This DP-900 certification course from CloudThat is designed to help candidates pass the Microsoft DP-900 certification exam. This DP-900 exam is ideal for candidates beginning to work with data in the Cloud. Candidates taking up this training learn about the core data concepts and related Microsoft Azure data services.
Before taking up this Microsoft Azure Data Fundamentals certification, candidates must be familiar with the relational and non-relational data concepts and the different types of data workloads, including transactional or analytical. Candidates can use the Azure Data Fundamentals certification to prepare for other Azure role-based certifications like Azure Data Engineer Associate or Azure Database Administrator Associate. However, it is not a prerequisite for any of them.
Networking Essentials for Cloud Applications on AWS
The Networking Essentials for Cloud Applications on AWS course delivers a thorough introduction to networking within the AWS cloud. Tailored for both new and experienced networking professionals, it explores core concepts, recommended practices, and hands-on exercises. The course is designed to develop the expertise required to effectively design, implement, and optimize AWS-based network infrastructures.
Note: This Course has been retired. A new version of this Course, AB-900 is available. Do visit this page for more details.
Unlock the power of Microsoft 365 with our comprehensive MS-900 course which is a foundational course designed to provide participants with a comprehensive understanding of the core services and capabilities of Microsoft 365. Explore cloud concepts, security, compliance, and collaboration tools, equipping you with a foundational understanding of the Microsoft 365 ecosystem. Delve into real-world scenarios, ensuring practical proficiency for IT professionals and business users alike. Elevate your skill set and boost your career prospects in the dynamic world of Microsoft 365. This course serves as an essential introduction for individuals looking to build a solid foundation in cloud-based technologies, collaboration tools, and productivity solutions offered by Microsoft 365.
Microsoft 365 Fundamentals is an introductory course designed to provide participants with a foundational understanding of the key components and capabilities of Microsoft 365. This course is ideal for individuals who are new to Microsoft 365 or looking to enhance their knowledge of cloud-based productivity tools and collaboration solutions.
MB-800: Microsoft Dynamics 365 Business Central Functional Consultant
This Microsoft Dynamics 365 Business Central Functional Consultant training from CloudThat teaches candidates how to implement and configure the Dynamics 365 Business Central app, set up core app modules and functionality, and migrate data to Business Central. Candidates for the MB-800 exam also learn how to run the user interface in collaboration with the implementation team. They also learn how to configure role centers, including action tiles, adapt insights, cues, charts, and reports, and extend Business Central with the help of Microsoft Power Platform components.
AZ-801: Configuring Windows Server Hybrid Advanced Services
Note: This course will be retired on September 30, 2026, and will no longer be available from this date, A new version of this exam, AZ-802 is available. Do visit this course page for more details
This Microsoft AZ-801 certification training course from CloudThat teaches candidates how to configure advanced Windows Server services using hybrid and on-premises cloud technologies. In addition, candidates also learn how to migrate servers and workloads, implement and manage Windows Server high availability, monitor and troubleshoot Windows Server environments, secure Windows Server on-premises and hybrid infrastructures and implement disaster recovery.
Candidates taking up this exam AZ-801 should have expertise in performing tasks related to migration, security, monitoring, troubleshooting, high availability, and disaster recovery. This training provides candidates with skills to use administrative tools and technologies, including Microsoft Defender for Identity, PowerShell, Azure Migrate, Azure Arc, Windows Admin Center, Azure Automation Update Management, and Azure Monitor.
AZ-800 Certification Training: Windows Server Hybrid Core Infrastructure
Note: This course will be retired on September 30, 2026, and will no longer be available from this date, A new version of this exam, AZ-802 is available. Do visit this course page for more details.
CloudThat’s Microsoft AZ-800 certification training equips individuals with the skills to proficiently handle Windows Servers and workloads within a hybrid setting. It instructs on deploying and overseeing Active Directory Domain Services (AD DS) across on-premises and cloud environments, as well as managing virtual machines and containers. Moreover, this course provides insights into effective storage and file service management, along with the implementation and administration of on-premises and hybrid networking infrastructure.
The Windows Server Hybrid Administrator Associate certification comprises two distinct exams. The AZ-800 exam focuses on fundamental server administration duties, while the AZ-801 delves deeper into specialized tasks such as disaster recovery and workload migration. Achieving the Windows Server Hybrid Administrator Associate certification necessitates successfully passing both of these exams.
Practical Data Science with Amazon SageMaker Training
In this Practical Data Science with Amazon Sagemaker certification training course, candidates learn to solve a real-world use case with Machine Learning (ML) using Amazon SageMaker. From analyzing and visualizing a dataset to preparing the data, and feature engineering, candidates taking up this Practical Data Science with Amazon Sagemaker course learn about the different stages of a typical data science process for Machine Learning.
By enrolling in this Practical Data Science with Amazon Sagemaker online course, candidates also learn about the practical aspects of model building, tuning, and deployment with Amazon SageMaker. Trainers use real-life use cases, group exercises, and hands-on labs to deliver engaging sessions on Amazon SageMaker.
This course helps experienced developers build web applications by programmatically interacting with AWS services. It covers key architectural concepts, resource selection, and practical use of AWS SDKs and the CLI for development and deployment. You will create a sample application while learning to manage permissions, implement business logic, configure authentication, deploy to the cloud, and troubleshoot issues.
The course also includes code examples and hands-on labs using SDKs for Python, .NET, and Java, along with the AWS CLI and Management Console.
This course teaches the fundamentals and best practices for building a cloud-based data warehouse using Amazon Redshift. It covers how to collect, store, and process data efficiently while explaining Redshift’s features and its role in solving business and technical challenges. You will also learn solution design using the Well-Architected Framework, along with integration, performance optimization, orchestration, security, and monitoring.
DP-080T00: Querying Data with Microsoft Transact-SQL
The Microsoft DP-080 (Querying Data with Microsoft Transact-SQL) certification BootCamp course from CloudThat has been curated for candidates preparing to take up the DP-080 exam. This course teaches the candidates about the basics of Transact-SQL and covers topics such as querying and modifying data in relational databases hosted in Microsoft SQL Server-based database systems, including Azure SQL Database, Microsoft SQL Server, and Azure Synapse Analytics.
Through this exam DP-080 training, candidates will acquire knowledge and develop skills with the help of our in-house subject matter experts to successfully clear the final exam and get certified.
AZ-040T00: Automating Administration with PowerShell
This Automating Administration with PowerShell certification course from CloudThat provides candidates with the fundamental knowledge and skills on how to use Windows PowerShell for administering and automating the administration of Windows servers. Candidates taking up this AZ-040T00-A course acquire skills to identify and build the command required to perform a specific task.
In addition, candidates also learn to build scripts to perform advanced tasks such as generating reports and automating repetitive tasks. This course provides candidates with prerequisite skills that are essential to using a broad range of Microsoft products, including Windows Client, Windows Server, Microsoft Exchange Server, Microsoft SQL Server, Microsoft SharePoint Server, and Microsoft System Center.
AZ-140: Configuring and Operating Microsoft Azure Virtual Desktop
This Microsoft AZ-140 Certification course from CloudThat teaches Azure administrators how to plan, deliver, and manage
virtual desktop experiences and remote apps for any device on
Azure. Students will learn through demonstrations and
hands-on lab experiences, deploying virtual desktop experiences
and apps on Windows Virtual Desktop and optimizing them to run
in multi-session virtual environments.
Candidates for this AZ-140 exam are administrators having
subject matter expertise on how to plan, deliver, and manage
virtual desktop experiences and remote apps, for any device,on
Azure.
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