Cloud Computing Course in Malegaon

About Cloud Computing
 

The Growing Importance of Cloud Technology

Cloud computing has brought about a significant transformation in the technology sector. It offers a flexible, scalable, and cost-effective alternative to traditional on-premises IT infrastructure. Globally, companies have adopted cloud-based solutions, and this adoption is increasing daily. This widespread adoption provides new opportunities for innovation, enhanced data security, and rapid application deployment. Various sectors of the global economy, including corporate, education, healthcare, defense, and communications, are moving to cloud networks to streamline processes and improve service delivery efficiency. The technology also helps reduce overall overhead costs by automating internal and external operations. Consequently, the demand for skilled Cloud Computing professionals is rapidly increasing, making it a highly prospective future career with millions of job opportunities available. Continuous innovations and adoption of cloud technology mean companies constantly seek cloud computing experts to maintain and manage cloud networks.
 

Core Cloud Curriculum and Skills

Cloud computing training courses in Malegaon are designed to provide a thorough understanding of cloud-based technologies, combining theory and hands-on experience. These courses cover the necessary skills and knowledge to excel in this in-demand field. The training aims to teach in-depth cloud computing with in-demand tools and cloud services across major platforms.
 

Training Focus: Mastering Leading Cloud Platforms

Training programs typically focus on the major cloud service providers:

• AWS Cloud Computing.
• Microsoft Azure Training Course / Azure Cloud Computing.
• Google Cloud Platform (GCP) Training / GCP Cloud Computing.

Microsoft Azure:

Microsoft Azure training often aligns with certifications like AZ-104 or AZ-305. Content includes Azure services such as virtual machines, Azure App Service, Azure Storage, Azure SQL Database, Azure Functions, and Azure Active Directory. The syllabus covers deploying and configuring infrastructure (Azure Subscriptions, Resources, Storage, VMs, Virtual Network, Azure Active Directory), implementing security and workloads (Server Migration, Application Services, Advanced Virtual Networks, Azure AD Securing Identities), understanding Azure Cloud Architecting Technology and Solutions (Design Patterns, Hybrid Networking, Data Durability, Caching, Throughput, Data Access), creating and deploying applications (App Service Web App, Background Tasks, Swagger, Reliable Service & Actors App, Reliable Collections, Azure Container Registry & instances), developing for the Azure Cloud (Message-Based Integration, Asynchronous Processing, Autoscaling, Azure Cognitive Services), designing for Azure Identity and security (External Identity Providers Integration, Hybrid Identity Solution, Azure AD Advanced Features like MSI, MFA, PIM, Securing Application Secrets via Key Vault, SQL Database, Azure Storage, Cognitive Services APIs like Face API, Speech API, LUIS, Relationship to Bot Framework and Azure Bot Services), designing Azure Data Platform solutions (Price Calculation for Storage, Performance Thresholds, Storage Blobs, Azure Files Service, StoreSimple, Monitoring Services, Backup Options, Deployment Automation for Backup Recovery or Scaling), and deploying, migrating, and integrating with Azure Cloud (Create & Add Resources to Azure Resource Group, Deploy ARM Template, Integrate API or Logic App with API Management service, Design App Service Plan or Multi-Region Deployment, Infrastructure Strategy, Load Balancer, Hybrid Connectivity, Availability Set, Fault and Update Domains, VM Scale Set ARM Template). Decision tree and random forest models are also mentioned in the context of Azure.

GCP Training Program:

GCP training aims to equip you to design, build, maintain, and monitor robust and scalable Google Cloud solutions. The curriculum covers setting up a cloud solution environment (Projects, Billing Configurations, CLI), planning and configuring a cloud solution (Pricing Calculator, Compute Resources, Data Storage options, Network Resources), deploying and implementing a cloud solution (Compute Engine, Kubernetes Engine, App Engine, Cloud Functions, Data Solutions, Networking Resources, Cloud Launcher, Deployment Manager), ensuring successful operations (Managing Compute Engine, Kubernetes Engine, App Engine, Data Solutions, Networking Resources, Cloud Monitoring), and configuring access and security (IAM, Service Accounts, Audit Logs). Decision tree and random forest models are also mentioned.

Specific courses like Azure Data Engineer training are also available, focusing on designing, building, and managing data solutions using Microsoft Azure services such as Azure Synapse Analytics, Azure Databricks, Azure Data Storage, Azure Data Factory, Azure Cosmos DB, and ETL concepts. The syllabus includes Data Storage in Azure, Introduction to Data Engineering using Azure, Azure Data Factory, Azure Synapse Analytics, Work with Data Warehouses using Azure Synapse Analytics, Optimizing Data Queries in Azure, Managing Workloads in Azure Synapse Analytics, and Deep Dive into Azure Databricks.

Many courses also include modules on Machine Learning implementation on AWS, Azure, and GCP. This involves using platforms like AWS SageMaker, Microsoft Azure Machine Learning Studio, and GCP Google Cloud Machine Learning (ML) Engine. The sources also mention Random Forest Models and Decision Trees in the context of cloud training.
 

Essential Complementary Technologies

Beyond the core cloud platforms, comprehensive training often includes related technologies crucial for cloud roles:

• DevOps. This includes tools such as Git, GitHub, Jenkins, Puppet, Ansible, Maven, Docker, and Kubernetes. Azure DevOps tools like Azure Repos and Azure Pipelines are also mentioned.
• Linux System Administration. This is often considered a prerequisite or foundational skill, covering topics like the filesystem hierarchy (FHS), command line usage, user/group management, file permissions, process monitoring, service control, SSH configuration, networking, archiving and transferring files, searching content, package management, and log analysis. Specific Linux commands and concepts covered include understanding Terminals (TTYs) and Shells, managing files from the command line (copy, move, create, delete, organize), File Content Commands (head, tail, cat, more, less, sort, uniq), Input-Output Redirection, getting help (help, man, Technical Support), creating, viewing, and editing text files (vi, vim, gedit, nano, Inode Structure), Symbolic Links or Backup Methods (Hard Links, Soft Links), User and Group Management (useradd, userdel, usermod, groupadd, groupdel, groupmod, passwd, gshadow), Control Access to Files (chmod, chown, setfacl, getfacl, Special Permissions, sticky bits), Monitor and Manage Linux Processes (top, ps, lscpu), Control Services and Daemons (systemctl, service), Configure and Secure SSH (OpenSSH, authentication modes, asymmetric keys, password authentication), File and Folder Transfer and Downloading (SFTP, SCP, Rsync, WinSCP, FileZilla, wget, curl), Analyze and Store Logs (System and User Logs), Manage Networking (Configuration, iptables, netstat, telnet, ss, ifconfig, nslookup, dig), Archive and Transfer Files (zip, gunzip, bzip2, tar), Searching the Contents (grep, locate, find), Install and Update Software Packages (rpm, yum, wget), Access Linux File Systems (fstab, mtab, blki), Analyze Servers and Get Support. Red Hat System Administration I (RH124) and II (RH134) concepts like managing SELinux Security, Basic Storage (file systems, partitioning, LVM), Network-Attached Storage (NFS), Controlling the Boot Process (run levels), and Managing Network Security (IP tables, Ethernet cards) are also included.
• Knowledge of programming languages like Python, Java, or Node.js is often beneficial, especially for Cloud Developers and DevOps Engineers. Some training may include Python as a complimentary course. Shell scripting is also mentioned as a useful skill.
• Other related skills mentioned include Incident management, L1/L2/L3 support & SME, Backup & recovery tools, Ticketing system, Monitoring tools, Storage networks (IBM, EMC), Web Applications, and Databases.
   

Approach to Learning and Training Methodology

Training methodologies typically involve a combination of theory and hands-on experience. Course content is delivered through live interactive sessions, whether Classroom / Online Interactive modes. Practical lab sessions, regular assignments, and projects are integral parts of the training, allowing students to apply their knowledge to real-world scenarios and develop practical skills. Trainers often have real-world industry experience and are working IT professionals, providing insights into practical working life. Some providers offer a year of access to recorded sessions. Doubt clearing sessions are also common. Teamwork is often promoted through peer interaction and group projects. There may be a specific number of major projects, such as 2 Major Projects for AWS, Azure, and Google Cloud Computing, and 1 Major Project for Azure Data Engineer. Training can involve live interactive sessions and practical lab sessions. Daily assignments and live projects are emphasized for hands-on training. The course duration may involve learning at least 5–10 hours per week. Instructors may review each project.
 

Potential Career Paths in Cloud Computing

Completing Cloud Computing training opens up numerous career opportunities in the IT sector. The demand for cloud computing experts is consistently high, and the remuneration can be substantial. Cloud computing is considered a very lucrative career field.

Roles like Cloud Developers and DevOps Engineers typically require knowledge of programming languages like Python, Java, or Node.js. Cloud Architects must understand coding for effective solution design, while Cloud Security Engineers use scripting for automation and threat detection. The average salary for freshers in India can range from 4 LPA to 9 LPA for cloud engineers, while abroad, salaries can reach around $125,000 annually in countries like the US, UK, Europe, and Canada.
 

The Value of Cloud Certifications

Cloud Computing certification is highly valued by employers. Courses are often designed to prepare students to take global certification exams from AWS, Microsoft Azure, and GCP.

Certifications offer significant advantages:

• They demonstrate expertise in cloud-based technologies to potential employers.
• They enhance career prospects.
• They can lead to potential salary increases and promotions.
• They provide practical knowledge through hands-on experience.
• They offer industry recognition and increase credibility.
• They help professionals stay updated with the latest trends and technologies, providing a competitive edge in the job market.
• They provide a comprehensive understanding of cloud technologies.
• They demonstrate expertise in popular and industry-leading cloud solutions.

Courses often prepare students for globally recognized certifications from AWS (like AWS Certified Solutions Architect Associate (SAA-C03), AWS Certified Developer – Associate (DVA-C02)), Microsoft Azure (like Microsoft Certified: Azure Fundamentals (AZ-900), Microsoft Certified: Azure Solutions Architect Expert (AZ-305)), and GCP (like Google Cloud Associate Cloud Engineer, Google Cloud Professional Cloud Architect). Course completion certificates are also provided. Employers often prefer hiring certified experts as they tend to be more productive and better at troubleshooting glitches.
 

Practical Course Details and Accessibility

Cloud Computing courses are generally open to everyone, including freshers and working professionals, starting from the basics. Some courses may recommend familiarity with a server Placement assistance is often emphasized, which may include interview preparation, resume building, and job search support. Some even highlight specific numbers of guaranteed interviews (e.g., 10 Guaranteed Interviews or 5 Guaranteed Interviews arrangements) or assured job placement.

Basic prerequisites often involve covering foundational skills like Linux administration. There is typically no formal application process; courses are generally open for enrollment. Fees and payment options vary, with some providers mentioning a nominal fee, possibly payable in installments, and offering Zero-Interest EMI Options. Course enrollment policies can be found in the terms of use and FAQs.

In summary, pursuing Cloud Computing training in Malegaon is a strategic step for professionals and aspiring IT individuals. The city's robust IT industry and educational resources provide a conducive environment for acquiring skills in AWS, Azure, GCP, DevOps, and Linux. With hands-on learning, industry-aligned curriculum, and the potential for globally recognized certifications, completing such training can pave the way for diverse, high-demand, and lucrative career opportunities in the rapidly evolving IT sector.
 

Online Classes

SevenMentor Institute’s online Cloud Computing course offers flexible, career-oriented training for anyone looking to gain expertise in the cloud domain at their own pace. From cloud fundamentals and virtualization to deployment automation, cloud storage, and DevOps integration, the course covers all the skills needed to become job-ready. Delivered by certified cloud professionals, sessions include live instructor-led training, hands-on lab exercises, and certification guidance. Learners benefit from access to practice environments, resume-building workshops, and 100% placement support. Perfect for students, professionals, and career switchers, this online cloud certification course builds a solid cloud foundation for your next big opportunity.

Corporate Training

Enhance your company’s digital infrastructure and cloud efficiency with SevenMentor’s corporate Cloud Computing training. Designed for both cloud beginners and experienced IT teams, our curriculum includes cloud deployment models, virtualization, DevOps workflows, automation tools, and cloud services on AWS, Azure, and GCP. We tailor our content to your organization's architecture, tools, and long-term objectives. Training is delivered through blended learning formats, promoting deep engagement and real-time application. Whether your goal is cost-effective cloud adoption or improved deployment scalability, our corporate cloud training ensures your team becomes proficient, certified, and strategically aligned with evolving cloud technologies.