Engage now to protect your organization's reputation !

In today’s digital era, information has become one of the most valuable assets for individuals, businesses, and governments. The widespread use of the Internet, cloud computing, mobile devices, and the Internet of Things (IoT) has made data easily accessible — but also more vulnerable to cyber threats. Information Security (InfoSec), therefore, plays a crucial role in protecting digital information from unauthorized access, misuse, or destruction.

The Samaniz Consulting team will assist you design and implement information security processes, policies, and technologies aligned with regulatory standards such as ISO 27001, NIST, and India’s DPDP Act, to safeguard digital data and information systems from cyber threats while ensuring compliance with government requirements.

Its main goal is to ensure the Confidentiality, Integrity, and Availability (CIA) of information— often called the CIA Triad.

Ensure the confidentiality, integrity, and availability of your digital assets through comprehensive security controls.

Don't miss this opportunity to gain the skills that will make you a valuable asset in the tech industry.

Risk Assessment & Governance Program

Develop and implement enterprise-wide risk management frameworks and policies aligned with ISO 27001 / NIST SP 800-53.

Implement role-based access controls, MFA, PAM, and access reviews.

Asset Classification & Data Management

Identity & Access Management (IAM)

Identify and classify information assets by criticality and sensitivity.

Data Protection (Backup & Recovery)

Protect organizations critical data using Backup and recovery tools, and enable encryption.

About the Program

A focused, 60-hour learning experience — designed to upskill engineers quickly and effectively.

3 Modules

• AI Foundations for Ops
  Learn the essentials of Python, data handling, and ML models — from an infrastructure mindset.

• AI Infrastructure & Pipelines
  Containerize, deploy, and orchestrate AI workloads using Docker, FastAPI, and Airflow.

• MLOps & AIOps in Practice
  Apply CI/CD, monitoring, and automation to real model deployments.

“This isn’t theory — it’s real Ops meets AI.”

Example Labs:

• Fix a broken AI project and make it production-ready

• Analyze GBs of logs using Pandas

• Build a FastAPI service that exposes a model

• Deploy and monitor it using Docker, Prometheus, and Grafana

• Capstone: Run your AI service on Kubernetes

“From maintaining systems to powering AI systems.”

You Already Know:

• Bash, SQL, Operating Systems

• Monitoring & Automation

• Cloud (AWS, GCP, Azure)

You’ll Learn:

• Python for Data & Automation

• FastAPI & Model APIs

• MLOps Monitoring & CI/CD

Result:

Become the person who keeps AI running — not the one replaced by it.

Hands-On Learning

The Career Transition

Real World Experience

Dive into practical exercises and realistic simulations designed to mimic real-world challenges, giving you the experience you need for the job.