Introduction to Azure
Infrastucture as a Service ( IaaS)
Iaas is a type of cloud computing service that offers networking resources , storage , commuting as per demand .Moving from trainindional infrastructure to Iaas Solution help to reduce the physical storage , hardware , physical infrastructure cost.
Software as a Services ( SaaS )
Saas is another type of azure cloud computing service that allows users to cloud based applications in the internet .Examples of Saas are outlook email , office 365 .Saas manages the availability of data and app with less cost.
Plastform as a Service (Paas)
Paas is a end to end development environment in cloud for developers to write code and deploy the applications .Azure has simplese applications to deliver any SDLC projects .It incudes storage and networking with development tools with less cost for software licence.
Why businesses need Azure


How NLL trains professionals to help the business realize its full potential
About NLL Academy’s Azure CoE
The importance of special training and applied learning in Azure
We build cloud skills to develop business impact of the customers business goals .We provide customized technical training according to the business need
Aim of the Azure CoE or courses
The Aim of the Azure COE course is to build a best fit team to handle to cloud challenges and provide solutions to organizations .We share the practical knowledge with 100 percent real time examples to learn the implement azure cloud services.
The USP or differentiators
The entire training will be hosted in actual mictosoft azure environment . At the end of the training trainees / employees will be able to work on projects with industry ready talent to handle infrastructure , software and platform related problems from Day 1 after the completion of the training.
Details about Azure
Process Flow
- Connection to Cloud Service
- Computing
- Storage
- Database Management
- Analytics
- Networking
- Developer Tools
- Management Tools
- Security
Why Azure Skills are in Demand
- Companies are investing more in cloud infrastructure rather than physical infrastructure
- The implementation of cloud computing results in lesser downtime of IT infrastructure
- Covid-19 pandemic has pushed all companies to migrate from traditional infrastructure to cloud infrastructure for smooth business processing
- Companies require efficient cloud engineers to handle the cloud services complexities
In-demand Azure Career
- Deveops Azure Engineer
- Azure Deloper
- Azure Devops Engineer
- Azure Administrator
- Azure Cloud Engineer
- Azure Data Engineer
- Azure CLoud Architect
Watch Our Reel Explaining Azure Career Roadmaps
What we do
We help you remain at the forefront of change by introducing you to an infinite pool of knowledge and information-driven innovation.
The Core Team


Aravinthan Jayabal
With notable accomplishments spanning over a decade, Aravinthan Jayabal is a Data Scientist with in-depth knowledge of data analytics, business analytics and IT dexterity at Python. His passion for data science and programming languages has driven him to mentor students and corporates in the US, UK, Middle East and Asia to upskill. He has successfully taught Data Cleaning, Data Reporting, Data Visualization, Statistics, Machine Learning and Deep Learning to more than a score of batches though online as well as offline classes.
Aravinthan’s proficiency at Python libraries like Pandas, Seaborn, Matplotlib, Plotly, Sklearn and TensorFlow make him a rare resource with vast experience in developing data mining algorithms, data analysis tools and business intelligence tools. The expertise offered by him for data mining techniques, trend analysis and predictive analytics while at Wipro Technologies, TechnipFMC and Imarticus make him a household name across Banking, Manufacturing, and Oil & Gas domains today.
Aravinthan holds an M.Sc. degree in Software Engineering and is certified in Data Science. He is also certified as a Six Sigma Green Belt and a Management Consultant by CMC Canada.
Kiran Lakkimsetti
Kiran is a certified Data Scientist with 13+ years of experience in big data, data analytics, process automation, business intelligence and machine learning solutions. Currently serving as the Lead Data Scientist at NLB Services, he is highly experienced in establishing scalable and efficient automation processes for model development and validation, model implementation and large-scale data analysis.
Kiran has worked with multi-disciplinary teams across industries such as Oil & Gas, Aerospace & Defense, and IT. In the Oil & Gas sector, he worked in automating global procurement spend analytics from multiple ERPs, and through automated descriptive & predictive analytical reports, he curbed 1000+ manual hours . He also led zero-cost process standardizations and built KPIs that reflect business functions to initiate better decision-making, enhance employee productivity and increase profitability for the business. Kiran’s expertise in Data Science has also helped companies with predictive analytics of procurement processes to drive material deflation, improve cash flow through supply chain finance programs and automate carbon footprint calculations.