MICROSOFT AZURE CLOUD COMPUTING

Step into the future with our hands-on Microsoft Azure and Cloud Computing Internship! Gain expertise in deploying, managing, and securing scalable cloud infrastructure using one of the world’s leading platforms — Azure. Learn cloud architecture, virtual machines, containers, and DevOps pipelines through real-world projects that prepare you for the industry's most in-demand roles. Collaborate with cloud professionals, work on industry-grade solutions, and take your skills to the next level. Whether you're aiming to be a cloud engineer or a DevOps specialist, this internship will shape your cloud journey with practical insights and powerful tools!

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Apply for Internship

Contact us and Submit your application and get started by providing the necessary documents.

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Review & Selection

Our team will review your application and shortlist candidates based on skills and eligibility.

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Training Sessions

Attend hands-on training sessions in AI, Machine Learning, and Data Science to gain practical knowledge.

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Live Projects

Work on real-world projects that solve critical industry problems, experiment with the code and sharpen your skills.

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Completion & Certification

Receive your certification, showcasing your proficiency in AI and Data Science to potential employers.

COURSE OUTCOMES

Azure and Cloud Computing Course Outcomes
Understand core cloud computing concepts and Azure service architecture.
Deploy and manage virtual machines, storage, and networks on Microsoft Azure.
Design scalable cloud solutions using Azure Resource Manager (ARM) templates.
Implement identity and access management with Azure Active Directory.
Automate deployments and infrastructure using Azure DevOps and CI/CD pipelines.
Monitor, troubleshoot, and optimize Azure resources using built-in tools.
Secure cloud applications using network security groups and firewalls.
Gain hands-on experience by building and deploying a full-scale cloud solution on Azure.

Career Opportunities

Career Opportunities in Machine Learning

Launch your Cloud Career with Confidence:

  • Cloud Solutions Architect
  • Azure DevOps Engineer
  • Cloud Infrastructure Engineer
  • Azure Administrator
  • Cloud Security Engineer
  • Azure Data Engineer
  • Cloud Application Developer
  • Cloud Consultant

Top Companies Offering Jobs in MICROSOFT AZURE CLOUD COMPUTING

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Our interns have opportunities to work with leading tech companies and research institutions in the AI and Data Science field, gaining sound knowledge and valuable industry experience & connections

Program Modules

"Foundations of AI and Data Science: Building the Future"
01

Python for AI

Advanced Python, NumPy, Pandas, Data manipulation and visualization

02

Mathematics for AI

Linear Algebra, Calculus, Probability, and Statistics for AI applications

03

Machine Learning Basics

Supervised and Unsupervised Learning, Model Evaluation and Validation

04

Data Preprocessing

Data Cleaning, Feature Engineering, Dimensionality Reduction

"Advanced AI Techniques: Pushing the Boundaries of Intelligence"
05

Deep Learning

Neural Networks, CNN, RNN, LSTM, Transfer Learning

06

Natural Language Processing

Text Processing, Sentiment Analysis, Language Models, Transformers

07

Computer Vision

Image Processing, Object Detection, Image Segmentation

08

Reinforcement Learning

Q-Learning, Policy Gradients, Deep Reinforcement Learning

"Practical Applications and Career Development"
09

Big Data Technologies

Hadoop, Spark, Distributed Computing for AI

10

AI Ethics and Governance

Ethical AI, Bias in AI, AI Governance Frameworks

11

Capstone Project

End-to-end AI project implementation and presentation

12

Career Development

AI Industry trends, Interview preparation, Portfolio building

ai

PREREQUISITE

  • Basic understanding of Python programming.
  • Familiarity with data analysis tools (Pandas, NumPy).
  • Interest in learning Machine Learning and AI concepts.
  • Ability to work with simple data visualization tools (Matplotlib or Seaborn).
  • Willingness to solve real-world problems using AI techniques.

PREREQUISITE

  • Basic understanding of Python programming.
  • Familiarity with data analysis tools (Pandas, NumPy).
  • Interest in learning Machine Learning and AI concepts.
  • Ability to work with simple data visualization tools (Matplotlib or Seaborn).
  • Willingness to solve real-world problems using AI techniques.
Enroll Now