US IT RECRUITER

AI & ML (45 Days – Live Hands‑On)

Program Fee: ₹25,000

Duration: 45 Days

Mode: Hybrid (Online Sessions + Live Lab Access)

Eligibility: Freshers, Final‑Year Students, and Career Switchers

About the Internship

This intensive 45‑day internship program is designed for freshers who want to build strong, industry‑relevant skills in Cloud Infrastructure, Cybersecurity, and AI/ML model development. The program offers live production hands‑on training, allowing interns to work on real-world architectures, security workflows, and AI/ML deployments.

Participants will receive end‑to‑end exposure to modern cloud platforms, DevOps practices, security operations, and machine learning deployment, making them job‑ready for roles like:

• Cloud/Infra Engineer
• DevOps Engineer
• Security Analyst
• AI/ML Engineer
• Site Reliability Engineer (SRE)

Key Highlights

• 45 days of practical, mentor-led training
• Live production-style projects and deployments
• Hands‑on experience with:
• AWS / Azure Cloud
• Terraform, CI/CD, Docker, Kubernetes
• Security Hardening & IAM
• Python ML pipelines & model deployment
• Architect & deploy real systems using best practices
• Build portfolio-ready projects
• Receive an industry-recognized Internship Certificate

What You Will Learn

1️⃣ Cloud Infrastructure & DevOps

• Cloud fundamentals (AWS/Azure/GCP)
• Linux administration & scripting
• VPC, Subnets, Routing, NAT, Firewalls
• EC2 provisioning & autoscaling
• Load balancing & High Availability
• Terraform for Infrastructure as Code
• CI/CD pipelines using Jenkins / GitHub Actions
• Docker containerization & Kubernetes basics

2️⃣ Cybersecurity & Cloud Security

• IAM roles, policies, access control
• Server security & hardening
• SSL/TLS, encryption, key management
• Secure VPC & subnet design
• Threat detection & logging
• Secrets management
• Network segmentation & firewall best practices

3️⃣ AI & Machine Learning

• Python for ML
• Supervised and unsupervised algorithms
• Data preprocessing & model training
• Model evaluation & optimization
• Build ML inference APIs using FastAPI/Flask
• Containerize and deploy ML models to cloud
• Integrate monitoring for ML workflows

✅ Live Hands‑On Projects

Interns will work on real-world, production-grade projects such as:

• Deploy a secure 3‑tier web application on cloud
• Automate infra provisioning using Terraform
• Build CI/CD pipelines for automated deployments
• Harden servers & configure security groups, IAM
• Develop and deploy an ML model as a cloud API
• Create monitoring dashboards with Prometheus/Grafana
• End-to-end system deployment with logging and alerting

Each intern will complete a Capstone Project and present it during the final evaluation.

✅ Internship Deliverables

1. Internship Completion Certificate
2. 3+ Production‑level projects
3. GitHub portfolio with all code and deployments
4. Cloud & ML documentation
5. Resume enhancement and guidance
6. Career mentoring + interview preparation

✅ Who Should Apply

This internship is ideal for:

• Fresh graduates
• Final‑year engineering or IT students
• BSc, BCA, MCA, B.Tech learners
• Professionals switching careers to Cloud/DevOps/AI
• Anyone seeking hands‑on, real‑time industry experience

✅ Program Fee

₹25,000/- (includes training, labs, live‑project access, certificate, and mentorship)

✅ Certificate Provided

All participants will receive a verified Internship Certificate, including:

• Candidate Name
• Internship Duration & Dates
• Skills Covered
• Project Evaluation Score
• Authorized Signatory & Company Seal

Are you eager to kick-start your career in DevOps and learn the latest technologies to solve complex problems? Do you enjoy hands-on problem-solving, exploring cloud technologies, and supporting innovative solutions? At Aivar, we are looking for a DevOps Engineer to join our team.

In this role, you will assist in the implementation and support of DevOps practices, including containerization, orchestration, and CI/CD pipelines, while learning from industry experts.

This is an exciting opportunity to grow your skills and work on transformative projects in a collaborative environment.

Requirements

Preferred Technical Qualifications

• 2 – 5 years of experience in DevOps, system administration, or software development (internship experience is acceptable).
• Familiarity with container technologies such as Docker and Kubernetes.
• Understanding of Infrastructure as Code (IaC) tools like Terraform or CloudFormation.
• Knowledge of CI/CD tools like Jenkins, GitLab CI, or GitHub Actions.
• Programming experience in Python, Java, or another language used in DevOps workflows.
• Understanding of cloud platforms such as AWS, Azure, or GCP
• Willingness to learn advanced Kubernetes concepts and troubleshooting techniques.Preferred Soft Skills

Collaboration Skills:

• Willingness to work in cross-functional teams and support the alignment of technical solutions with business goals.
• Eager to learn how to work effectively with customers, engineers, and architects to deliver DevOps solutions.

Effective Communication:

• Ability to communicate technical concepts clearly to team members and stakeholders.
• Desire to improve documentation and presentation skills to share ideas effectively.

Problem-Solving Mindset:

• Curiosity to explore and learn solutions for infrastructure challenges in DevOps environments.
• Interest in learning how to diagnose and resolve issues in containerized and
•  distributed systems.

Adaptability and Continuous Learning:

• Strong desire to learn emerging DevOps tools and practices in a dynamic environment.
• Commitment to staying updated with trends in cloud computing, DevOps, and

Team-Oriented Approach:

• Enthusiastic about contributing to a collaborative team environment and supporting
• overall project goals.
• Open to feedback and actively sharing knowledge to help the team grow.

Certifications (Optional but Preferred)

• Certified Kubernetes Application Developer (CKAD) or equivalent Linux Foundation
• certification
• Any beginner-level certifications in DevOps or cloud services are a plus. 
• Any AWS Certification

Why Join Aivar?

At Aivar, we are re-imagining analytics consulting by integrating AI and machine learning to create repeatable solutions that deliver measurable business outcomes. With a culture centered on innovation, collaboration, and growth, we provide opportunities to work on transformative projects across industries.

About Diversity and Inclusion

We believe diversity drives innovation and growth. Our inclusive environment encourages individuals of all backgrounds to contribute their unique perspectives to shape the future and analytics.