Cloud Computing Training Courses

Advanced Terraform Architecture and State Management• Deep dive into Terraform internals and execution flow• Advanced state management strategies• Remote backend configuration and state locking• Drift detection and recovery techniquesReusable Modules and Infra...

• Experienced DevOps Engineers and Cloud Engineers
• Site Reliability Engineers (SREs)
• Cloud Architects and Infrastructure Engineers
• Terraform practitioners working in production environments
• IT Professionals managing enterprise cloud infrastructure

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in Advanced Terraform Training, validating their expertise in Infrastructure as Code, Terraform automation, enterprise cloud architecture, CI/CD integration, and scalable DevOps practices.

Prerequisites: • Strong understanding of Terraform fundamentals• Basic experience with any cloud platform (AWS, Azure, or GCP)• Knowledge of Infrastructure as Code concepts• Familiarity with Git and CI/CD workflows is helpful

Introduction to Containers and Amazon ECS Architecture• Overview of containerization and Docker fundamentals• Introduction to Amazon ECS components• ECS cluster setup and configuration• Task definitions and container definitionsDeploying Containers on ECS• Cre...

• DevOps Engineers and Cloud Engineers
• Software Developers working with containerized applications
• Site Reliability Engineers (SREs)
• System Administrators managing cloud infrastructure
• IT Professionals transitioning into container orchestration

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in Amazon ECS Training, validating their expertise in container orchestration, AWS ECS architecture, Docker deployment, and scalable cloud-native application management.

Prerequisites: • Basic understanding of AWS cloud services (EC2, IAM, VPC fundamentals)• Familiarity with Docker and container concepts• Basic knowledge of networking and application deployment• Understanding of Linux command-line basics is helpful

Advanced AWS Architecture Fundamentals• AWS Well-Architected Framework deep dive• Designing scalable cloud architectures• Multi-tier architecture patterns• Decoupling applications using AWS servicesNetworking and Infrastructure Design• Advanced VPC architectur...

• Cloud Architects and Solution Architects
• Senior DevOps Engineers and Cloud Engineers
• Infrastructure Architects and System Designers
• Site Reliability Engineers (SREs)
• IT Professionals designing enterprise cloud systems

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in AWS Advanced Architecture Training, validating their expertise in advanced cloud architecture design, AWS enterprise solutions, scalability, security, and high availability engineering.

Prerequisites: • Strong understanding of AWS fundamentals (EC2, S3, IAM, VPC)• Experience with cloud computing concepts and services• Basic knowledge of networking and distributed systems• Familiarity with AWS best practices is recommended

Introduction to AWS Security Architecture• AWS shared responsibility model• Overview of AWS security services• Identity and Access Management (IAM) fundamentals• Security best practices in AWS environmentsIdentity and Access Management (IAM)• Users, groups, ro...

• Cloud Security Engineers and Security Analysts
• DevOps Engineers and Cloud Administrators
• System Administrators working on AWS environments
• IT Security Professionals and SOC Engineers
• Developers working on secure cloud applications

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.
 

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in AWS Cloud Security Training, validating their expertise in AWS security architecture, identity management, encryption, monitoring, compliance, and cloud threat protection.

Prerequisites: • Basic understanding of AWS cloud services (EC2, S3, IAM fundamentals)• Familiarity with networking and security concepts• Basic knowledge of cloud computing principles• Understanding of IT infrastructure is helpful

Introduction to AWS Cloud9 and Cloud Development• Overview of cloud-based IDE concepts• AWS Cloud9 architecture and workspace setup• Creating and configuring development environments• Introduction to Cloud9 interface and toolsDevelopment Environment Setup and...

• Software Developers and Junior Developers
• Cloud Engineers and DevOps Beginners
• Students and freshers in software development
• IT Professionals transitioning to cloud-based development
• Teams adopting cloud-native development environments

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in AWS Cloud9 Fundamentals Training, validating their expertise in cloud-based development environments, AWS Cloud9 usage, application development workflows, and cloud-native coding practices.

Prerequisites: • Basic understanding of programming concepts (Python, JavaScript, or Java preferred)• Familiarity with general software development lifecycle concepts• Basic knowledge of AWS cloud services is helpful• Understanding of command-line basics is an advantage

Introduction to AWS IoT & Cloud IoT Architecture • What is AWS IoT Core and where it is used • AWS IoT Core architecture overview • IoT communication protocols • Common IoT solution patternsDevice Connectivity & Messaging • MQTT protocol basics • Device SDKs a...

 • IoT developers and engineers
 • Cloud architects and solution engineers
 • Embedded systems developers
 • DevOps and platform engineers
 • IT professionals building IoT platforms

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Upon successful completion of the training, participants will receive an AcadNXT Certificate of Completion for AWS IoT Core. This digital, verifiable certification validates practical AWS IoT Core usage, IoT device integration, and cloud-based IoT architecture skills and can be shared on LinkedIn and included in professional profiles to enhance IoT and cloud engineering career credibility.

Prerequisites:  • Basic understanding of networking concepts • Familiarity with AWS fundamentals is helpful • Interest in IoT and cloud-based device solutions

Introduction to Serverless & AWS Lambda Architecture • What is serverless computing • AWS Lambda service overview • Event-driven architecture concepts • Common serverless use casesCreating & Managing Lambda Functions • Writing Lambda functions • Supported runt...

 • Cloud application developers
 • Backend and serverless developers
 • DevOps and platform engineers
 • Solution architects building event-driven systems
 • IT professionals adopting serverless architectures

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Upon successful completion of the training, participants will receive an AcadNXT Certificate of Completion for AWS Lambda for Developers. This digital, verifiable certification validates practical AWS Lambda development, serverless architecture implementation, and cloud-native application delivery skills and can be shared on LinkedIn and included in professional profiles to enhance serverless and cloud development career credibility.

Prerequisites:  • Basic understanding of cloud computing concepts • Familiarity with AWS fundamentals is helpful • Experience with programming languages such as Python, Node.js, or Java is beneficial

Introduction to Cloud Computing and AWS• Cloud computing concepts and deployment models• Overview of AWS global infrastructure• AWS management console navigation• Introduction to core AWS servicesCompute and Storage Fundamentals• Amazon EC2 instance creation a...

• Beginners in Cloud Computing
• System Administrators and IT Support Engineers
• Software Developers transitioning to cloud
• DevOps Beginners and Infrastructure Engineers
• Students and professionals exploring AWS

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.
 

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in AWS Technical Essentials Training, validating their foundational expertise in AWS cloud services, infrastructure basics, security principles, and cloud computing fundamentals.

Prerequisites: • Basic understanding of IT concepts and networking fundamentals• Familiarity with general computing environments• No prior cloud experience required• Basic awareness of servers and applications is helpful

Introduction to Microsoft Azure Platform• Overview of cloud computing and Azure ecosystem• Azure global infrastructure and regions• Subscription and resource group concepts• Azure portal navigation and interfaceAzure Compute Services• Virtual machine creation...

• Cloud Administrators and System Administrators
• IT Support and Infrastructure Engineers
• DevOps Beginners and Cloud Beginners
• Technical Support Professionals
• Professionals transitioning to Microsoft Azure

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in Azure Admin Essentials Training, validating their expertise in Azure administration, cloud resource management, identity control, and basic cloud infrastructure operations.

Prerequisites: • Basic understanding of cloud computing concepts• Familiarity with IT infrastructure fundamentals• Basic knowledge of networking and operating systems• No prior Azure experience required

Introduction to Azure Machine Learning• Overview of Azure ML ecosystem• Azure ML workspace and components• Data ingestion and dataset management• Introduction to ML lifecycleData Preparation and Feature Engineering• Data cleaning and transformation techniques•...

• Data Scientists and Machine Learning Engineers
• AI Developers and Data Analysts
• Cloud Engineers working on AI/ML solutions
• Software Developers transitioning into machine learning
• IT Professionals interested in AI and MLOps

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.
 

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in Azure Machine Learning (AML) Training, validating their expertise in machine learning lifecycle management, model development, deployment, and MLOps using Microsoft Azure.

Prerequisites: • Basic understanding of Python programming• Familiarity with machine learning concepts and statistics• Basic knowledge of Azure cloud services is helpful• Understanding of data processing and analytics fundamentals

Introduction to Cloud Computing Fundamentals• What is cloud computing and why it matters• Cloud deployment models (Public, Private, Hybrid)• SaaS, PaaS, and IaaS explained• Overview of major cloud providersCloud Services and Business Applications• Cloud storag...

• Business Managers and Team Leads
• Non-technical Project Managers
• Sales and Marketing Professionals in IT domain
• HR and Operations Professionals
• Beginners exploring cloud computing concepts

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in Cloud Computing for Non-Developers Training, validating their understanding of cloud concepts, deployment models, business applications, and cloud strategy fundamentals.

Prerequisites: • No programming or technical background required• Basic computer literacy• Familiarity with internet and digital tools• Interest in understanding cloud technologies

Introduction to Data Visualization in Google Colab• Overview of Google Colab environment for analytics• Loading and managing datasets in Colab• Data preprocessing using Pandas• Exploratory Data Analysis (EDA) basicsBasic Visualization Techniques• Line charts,...

• Data Analysts and Business Analysts
• Data Science Beginners
• Python Developers working with data
• Students and Researchers handling datasets
• Professionals interested in data storytelling and visualization

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in Data Visualization with Google Colab Training, validating their expertise in data analysis, visualization techniques, and cloud-based Python data workflows.

Prerequisites: • Basic knowledge of Python programming• Familiarity with basic data concepts and spreadsheets• Understanding of fundamental statistics is helpful• No prior experience with Google Colab required