Expertzlab Education
Job‑Oriented • 12 MonthsLive LabsPlacement Support

Cyber Security with AI, Data Science & Blockchain

Detect threats with anomaly detection, automate response playbooks, and harden applications using blockchain‑backed integrity — all in one comprehensive program in Kochi, Kerala.

WhatsApp: +91 7034256363 View Syllabus
Cybersecurity with AI training in Kochi, Kerala

Duration

12 Months

Capstone Projects

4+

Hands‑on Labs

40+

Interview Prep

Included

Program Highlights

AI‑Powered Threat Detection

Build anomaly detection pipelines and dashboards for proactive defense using ML features from logs, flows, and endpoint events.

Blockchain for Integrity

Implement permissioned ledgers for audit trails and tamper‑evident records; deploy PoC networks on AWS.

Network & Cloud Security

Secure VPCs, harden workloads, and automate checks with DevSecOps gates in CI/CD.

Real Projects & Metrics

Ship measurable outcomes: precision/recall for detectors, MTTR reduction for playbooks, policy compliance.

OWASP & Secure Coding

Write resilient backends with auth, rate‑limiting, logging, and secrets management.

Career Support

Resume reviews, mock interviews, DSA refreshers, and referrals to hiring partners in Kerala & beyond.

What is Cyber Security?

Cybersecurity protects systems, networks, and applications from attacks. In this program, you will combine AI‑driven anomaly detection with secure engineering and blockchain‑backed integrity to build end‑to‑end defenses. You will practice data preparation, classical ML, deep learning, and secure cloud deployment while adopting modern SOC workflows.

  • Computer Vision, OCR, Handwritten recognition
  • Chatbots & Speech recognition (intro)
  • Spam & phishing detection, anomaly/outlier detection
  • Blockchain‑aided integrity, audit trails, access governance

You will work with

PythonPandasMatplotlibscikit‑learnTensorFlowKerasAWSDockerKubernetesMongoDBRDSHyperledgerEthereumJWTDevSecOps

Syllabus Breakdown

Project‑First Teaching

Advanced Python & Web Fundamentals

2 Months
  • Modern Python (3.12+), typing, OOP, async, packaging
  • Data wrangling with NumPy, Pandas; visualization with Matplotlib
  • APIs with Django/DRF or FastAPI; auth, JWT, rate limiting
  • Secure coding practices: input validation, OWASP top 10 basics

Machine Learning with scikit-learn

2 Months
  • Regression, Classification, Clustering, Feature Engineering
  • Pipelines, model selection, metrics, cross‑validation
  • Imbalanced learning, anomaly/outlier detection
  • Intro to MLOps basics for small projects

Deep Learning with TensorFlow & Keras

2 Months
  • Neural nets, CNNs, RNNs, LSTMs, Transformers (overview)
  • Computer Vision, OCR, Handwritten text recognition
  • Chatbots & Speech recognition (intro), embeddings
  • Transfer learning, fine‑tuning, model optimization

Cybersecurity with Blockchain

4 Months
  • Threat modeling, risk assessment, blue/red team basics
  • Network security, SIEM fundamentals, log analysis, SOC workflows
  • Fraud & anomaly detection using ML/DL
  • Blockchain: Ethereum, Hyperledger; PoW/PoA; smart contracts
  • Permissioned chains, private consortium networks, AWS managed nodes
  • Security filtering, vulnerability assessment, incident response labs

Cloud & DevSecOps Essentials

2 Months
  • AWS regions/zones, VPCs, load balancers, IAM & KMS basics
  • Docker & Kubernetes fundamentals; secure container images
  • RDS, S3, MongoDB: backups, encryption, access patterns
  • CI/CD with security gates, secrets, and policy as code

What You Will Achieve

Portfolio‑Ready

Detect anomalies with ML pipelines and deploy threat‑intel dashboards

Design and audit smart contracts; build permissioned blockchain PoCs

Secure cloud workloads and automate compliance checks

Implement SOC playbooks for triage, containment, and recovery

Capstone Project Ideas

End‑to‑End

Anomaly‑First SOC Dashboard

End‑to‑end pipeline from log ingestion → feature store → detector → alert triage → report, deployed on cloud.

Blockchain Audit Trail for APIs

Smart contracts to record sensitive changes and create tamper‑evident audit logs for compliance.

Threat‑Intel Feature Store

Curate, version, and serve ML features for detectors; evaluate drift and automate retraining.

Admissions & Next Steps

Cochin Campus

  1. Talk to an Advisor

    Discuss background, goals, and timelines; confirm eligibility and batch schedule.

  2. Enroll & Onboard

    Pre‑course checklist, environment setup, foundational refreshers in Python.

  3. Projects & Reviews

    Weekly labs, mentor reviews, and milestone demos with rubrics.

  4. Placement Support

    Resume polish, mock interviews, referrals to partner companies.

Frequently Asked Questions

Have more? Chat with us
Who is this program for?View
Final‑year students, recent graduates, developers, network engineers, and IT professionals transitioning into cybersecurity with AI/ML specializations.
How hands‑on is the course?View
Every module ships with labs and mini‑projects, and culminates in a capstone project using real attack data, on‑cloud deployment, and a presentation review.
Do I need prior coding experience?View
Basic programming knowledge helps. We start with modern Python and quickly build to ML and security engineering best practices.
What about placements?View
Expertzlab provides interview preparation, resume building, mock interviews, and connects eligible learners with hiring partners in Kerala and PAN‑India.

Questions? Talk to us on WhatsApp

Get the latest batch dates, detailed fee structure, and a tailored learning plan.

Chat on WhatsApp: +91 7034256363Explore Placements
Location

Palarivattom, Kochi, Kerala

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