IMMUNE Technology Institute

The Advanced Master in IA & Data Science by IMMUNE Technology Institute is designed for professionals aiming to lead data-driven transformation. This program combines strategic vision and technical practice, enabling participants to design, deploy, and manage AI & analytics solutions at scale.

Over 400+ hours of live sessions, case studies and labs, students master statistical modeling, machine learning, deep learning, data engineering pipelines, NLP, computer vision and model deployment. The curriculum also includes executive-level modules about governance, ethics, AI product strategy, and decision-making. Certification preparation for Azure Data Scientist, AWS Machine Learning Specialty and Google Professional Data Engineer is included.

IMMUNE’s learning by doing format leverages real business data, mentorship, peer collaboration and capstone projects. Participants graduate not just as technical experts, but as strategists who can lead AI initiatives across industries.

Curriculum Overview:

Foundations & Strategy
· Python, statistics, data wrangling
· Business intelligence & analytics strategy

Machine Learning & Deep Learning
· Regression, neural nets, CNNs, RNNs
· NLP, computer vision, reinforcement learning

Data Engineering & MLOps
· ETL pipelines, Spark, deployment CI/CD, Docker, Kubernetes

AI Leadership & Ethics
· Ethical AI, governance, stakeholder management, ROI models

Capstone Project & Career Readiness
· Real enterprise AI initiative + executive coaching

Subjects:
Data Science, Machine Learning, Deep Learning, Data Engineering, AI Governance, Analytics Strategy, MLOps, NLP, Computer Vision, Python, SQL, R, Kubernetes, Mongo DB, Power BI, Tableu

The Bachelor’s in Software Development Engineering by IMMUNE Technology Institute is a full-spectrum program built for creators, not just coders. From day one, you build real apps: frontend, backend, APIs, microservices, testing, deployment — everything. You won’t just learn syntax: you’ll design systems that scale, lead code architecture, and build products users love.

Over the program you master tech stacks (JavaScript, TypeScript, Python, Node.js, React, databases, DevOps tools), best engineering practices (testing, clean code, CI/CD, security) and project leadership. The degree culminates in a capstone product that you build, prospect into your portfolio and pitch to companies.

In the learning by doing model, you work in teams, get mentored by industry developers, solve challenges from real tech companies and deliver software that stands. You graduate not with just a degree, but with a portfolio, with exposure to hiring firms, ready for roles like Software Engineer, Tech Lead or Full Stack Architect.

Curriculum Overview:

Foundations & Programming
· Fundamentals: algorithms, data structures, OOP, functional programming
· Web development: HTML, CSS, JavaScript, TypeScript, front/back ends

Databases & Backend Services
· SQL / NoSQL, REST APIs, GraphQL, server-side logic

Software Engineering & Tools
· Version control, testing, architecture, patterns, CI/CD

DevOps & Cloud Integration
· Deployment pipelines, containers, cloud services, observability

Capstone & Portfolio
· Real product from idea to deployment + professional mentor guidance

Subjects:
Software Development, Algorithms, System Design, Web & Mobile Dev, Databases, DevOps, Cloud, Architecture, Testing, Agile Methodologies, Cybersecurity, Data Science

The Bootcamp Data Analytics by IMMUNE Technology Institute is a hands-on, foundational program for professionals who want to turn data into decisions. You’ll move from cleaning data to storytelling, building dashboards, and applying analytics in real business contexts.

Over 300+ hours of live classes and practical labs, students build skills in Python, SQL, data visualization, statistics, and machine learning basics, while developing a portfolio-ready project. The bootcamp also helps prep for recognized certifications like Azure DP-900, AWS Data Analytics Associate, or equivalent credentials.

IMMUNE’s learning by doing approach ensures every module ends with deliverables you can show. You’ll work with actual datasets, business cases, and receive mentorship from data professionals.

Curriculum Overview:

Foundations of Analytics
· Python, SQL, descriptive statistics, data cleaning

Visualization & Business Intelligence
· Tools like Power BI, Dash, Tableau
· Dashboard design, storytelling

Applied Analytics & Machine Learning Basics
· Regression, clustering, predictive models
· Intro to supervised/unsupervised algorithms

Data Strategy & Communication
· Translating insights into decisions
· Metrics, KPIs, stakeholder storytelling

Capstone Project & Career Readiness
· Real-world analytics project + mentorship and job support

Subjects:
Data Analytics, Visualization, SQL, Python, Machine Learning Basics, Business Intelligence, Analytics Storytelling, Dashboards

The Bootcamp in DevOps by IMMUNE Technology Institute is an immersive, hands-on program designed to take you from beginner to proficient in automation, cloud infrastructure, and continuous delivery. You’ll learn how to build scalable systems, deploy microservices, and manage real CI/CD pipelines from scratch.

Across more than 350 hours of live sessions and practical labs, students gain experience with Docker, Kubernetes, Terraform, Jenkins, Ansible, AWS, Azure, and Google Cloud, as well as monitoring, logging, and security best practices. The program also includes preparation for key certifications such as AWS Certified DevOps Engineer, Kubernetes Administrator (CKA), and Azure DevOps Engineer Expert.

IMMUNE’s learning by doing approach combines real-world labs, incident simulations, and mentorship from industry professionals, ensuring you don’t just learn the tools—you learn to think like a DevOps engineer.

Curriculum Overview:

DevOps Foundations
· DevOps culture and lifecycle
· Linux, scripting, and version control

CI/CD & Automation
· Jenkins, GitHub Actions, automated pipelines
· Infrastructure as Code with Ansible & Terraform

Containerization & Orchestration
· Docker, Kubernetes, Helm, scalable deployments

Cloud Infrastructure
· AWS, Azure, and GCP architecture & services
· Security, monitoring, logging, and observability

Capstone Project & Career Readiness
· Complete DevOps project + mentorship and job guidance

Subjects:
DevOps, CI/CD, Infrastructure as Code, Containers, Kubernetes, Cloud Computing, Automation, Monitoring, Cloud Security, Cloud Resilience

The Master in Cloud Architecture & DevOps Management by IMMUNE Technology Institute is a next-generation program crafted for those who want not just to be a cloud operator, but a cloud architect and DevOps leader. Over the course of 21 months, this master blends advanced technical training with leadership and management skills.

You’ll design, build, secure and operate complex cloud architectures across AWS, Azure, and Google Cloud, automate every layer using Infrastructure as Code (IaC), deploy microservices with Kubernetes and Docker, implement CI/CD pipelines, optimize costs with FinOps, and integrate security at every phase. The program also prepares you for top certifications like AWS Solutions Architect Professional, Azure Architect Expert (AZ-305), and Google Professional Cloud Architect.

Under the learning by doing model, you’ll work on real projects, collaborate with peers on enterprise scenarios, tackle cloud incidents, and receive mentorship from industry architects. By the end, you’ll graduate not only as a technologist but as a strategist — able to lead cloud infrastructure, manage DevOps teams, and deliver systems that scale, adapt, and endure.

Curriculum Overview:

Cloud Foundations & Architecture
· Cloud models, networking, storage, multi-cloud strategies
· Design patterns, reliability, scale, availability

DevOps & Automation
· CI/CD pipelines, GitOps, Infrastructure as Code (Terraform, Ansible)
· Tools: Jenkins, GitHub Actions, Helm

Containers & Orchestration
· Docker, Kubernetes, service mesh, microservices architecture

Cloud Operations & SRE
· Observability, incident management, SLIs/SLOs, reliability engineering

FinOps, Security & Governance
· Cost optimization, security best practices, compliance, access control

Capstone Project & Career Readiness
· Enterprise-level cloud project + leadership coaching + job support

Subjects:
Cloud Architecture, DevOps, Infrastructure as Code, Automation, Containers & Kubernetes, SRE, Cloud Security & Governance, FinOps, Multi-Cloud, Leadership in Technologym Miscrosoft Azure, Amazon Web Services, Google Cloud

The Master in Cloud Computing by IMMUNE Technology Institute is a hands-on, advanced program designed to help professionals master the design, deployment, and management of scalable cloud infrastructures across AWS, Azure, and Google Cloud.

Through more than 400 hours of live classes and real-world projects, students gain skills in Cloud Architecture, DevOps, SRE, FinOps, and Cloud Security, while preparing for leading industry certifications such as AWS Solutions Architect, Azure Administrator (AZ-104), and Google Cloud Engineer.

The program follows IMMUNE’s learning by doing approach, combining expert mentorship, case-based learning, and cloud labs where students build and automate real environments using tools like Docker, Kubernetes, Terraform, Jenkins, and Ansible.

Curriculum Overview:

Cloud Fundamentals
· Cloud models and architectures
· Networking, storage, and virtualization basics
· Multi-cloud environments

DevOps & Automation
· CI/CD pipelines and Infrastructure as Code
· Terraform, Jenkins, Git, and Ansible

Cloud Architecture & Management
· Scalability, reliability, and cost optimization (FinOps)
· Security and compliance in AWS, Azure, and GCP

SRE & Monitoring
· Observability, incident management, SLIs/SLOs

Capstone Project & Career Readiness
· Real multi-cloud deployment + mentorship for job placement

Subjects:
Cloud Computing, DevOps, Infrastructure as Code, Automation, FinOps, SRE, Cloud Security, AWS, Azure, Google Cloud

The Master in Cybersecurity by IMMUNE Technology Institute is an advanced, practice-oriented program designed for IT professionals and tech enthusiasts who want to go beyond theory and learn how to protect real systems from real threats.

Across more than 400 hours of live training, students develop technical and strategic skills in ethical hacking, network defense, incident response, digital forensics, threat intelligence, and cloud security. The program also prepares participants for international certifications such as Cisco CCST Cybersecurity, Microsoft SC-900, and IT Specialist in Network Security.

The learning model combines hands-on labs, SOC simulations, Capture The Flag challenges, and mentorship from active cybersecurity professionals.

Curriculum Overview:

Cybersecurity Fundamentals
· Security basics and applied cryptography
· Risk management, governance, and compliance
· MITRE ATT&CK framework

Network & Infrastructure Security
· Penetration testing and system auditing
· Secure architectures, cloud & IoT security

Application Security
· Secure coding and DevSecOps practices
· Web app vulnerabilities and countermeasures

Cyber Intelligence & Incident Response
· Threat hunting, malware analysis, forensic techniques

Capstone Project & Career Readiness
· Real-world security project + career mentoring

Subjects:
Cybersecurity, Ethical Hacking, Incident Response, Threat Intelligence, Network Security, Cloud Security, DevSecOps

The Master in Data Science by IMMUNE Technology Institute is a fully immersive, project-driven program designed to take you from foundational concepts to advanced modeling and production-ready solutions. You’ll learn to build data pipelines, deploy machine learning models, and translate insights into business value.

Through over 400 hours of live classes and hands-on labs, students develop expertise in Python, SQL, statistical analysis, machine learning, deep learning, big data frameworks, and model deployment. The program also prepares learners for industry-relevant certifications such as Azure Data Scientist, AWS Data Analytics Associate, and Google Professional Data Engineer.
IMMUNE’s learning by doing methodology ensures you work on real datasets, case studies and receive mentorship from data professionals.

Curriculum Overview:

Foundations of Data Science
· Python, statistics, probability, data wrangling
· Exploratory Data Analysis & visualization

Machine Learning & Deep Learning
· Regression, classification, clustering, neural networks
· Frameworks: scikit-learn, TensorFlow, PyTorch

Big Data & Infrastructure
· Spark, Hadoop, data engineering pipelines
· Cloud data services (AWS, Azure, GCP)

Model Deployment & MLOps
· APIs, Docker, CI/CD for models, monitoring, versioning

Capstone Project & Career Readiness
· End-to-end data science project + career mentoring

Subjects:
Data Science, Machine Learning, Deep Learning, Big Data, MLOps, Data Engineering, Model Deployment, Analytics, Python, SQL