Free Online Workshop on Aug 23 : Learn Full Stack development– get E Certification!       Workshop on Sep 13 & 14 : workshop 1:Title- Cyber Security in the Modern Era, workshop 2:Title- Strategic Data analytics with python at greatest platform in IIIT TRICHY & get the valuable accrediated certificate

Course

Ongoing Courses

FUNDAMENTALS OF AI – 90-DAYS AGENDA

(1.5 hours/day → 135 hours).
PHASE 1 — AI foundation (Days 1–20).
PHASE 2 — Machine learning deep dive (Days 21–45).
PHASE 3 — NLP, CV & GEN Ai essentials (Days 46–65).
PHASE 4 — Special topics & responsible Ai (Days 66–80).
PHASE 5 —Projects & evaluation (Days 81–90).

DATA ANALYTICS WITH PYTHON – 110 DAYS AGENDA

(1.5 hours/day → 165 hours).
PHASE 1 — Python foundation (Days 1–20).
PHASE 2 — Python for data analysis (Days 21–40).
PHASE 3 — Data visualization (Days 41–55).
PHASE 4 — Statistics for data analytics (Days 56–75)
PHASE 5 — Sql for data analytics (Days 76–90)
PHASE 6 — Machine learning intro (Days 91–105)
PHASE 7 — Project and deployment (Days 106–110)

ML & GEN AI –180 -DAYS AGENDA

(1.5 hours/day → 270 hours).
PHASE 1 —Python + math foundations (Days 1–30).
PHASE 2 — Machine learning foundations (Days 31–60).
PHASE 3 — Deep learning (Days 61–90).
PHASE 4 — NLP + advanced deep learning (Days 91–120).
PHASE 5 — Gen Ai (LLMs) (Days 121–150).
PHASE 6 — AI agents & automation (Days 151–165).
PHASE 7 — ML/GENAI projects (Days 166–180).

CYBER SECURITY – 113 DAYS AGENDA

Daily Duration: 1.5–2 hours Mode: Theory + Labs + Case Studies + Weekly Assessments.

PYTHON PROGRAMMING – 90 DAYS AGENDA

Daily Duration: 1.5–2 hours Mode: Theory + Coding Practice + Mini Projects + Weekly Tests



DIGITAL MARKETING – 90 DAYS COURSE AGENDA

Daily Duration: 1.5–2 hours Mode: Theory + Tools Practice + Assignments + Live Projects




CLOUD TECHNOLOGY – 90 DAYS COURSE AGENDA

Duration: 1.5–2 hours/day Mode: Theory + Labs + Real Deployments + Weekly Tests Cloud Platforms Covered: AWS + Azure + GCP (Foundations of all, Deep focus on AWS)

UI/UX DESIGN – 90 DAY AGENDA

Daily Duration: 1.5–2 hours/day Mode: Theory + Figma Hands-on + Assignments + Projects + Portfolio Building



FULL STACK development – 180 Days agents

Daily Duration: 1.5–2 hours/day Mode: Theory + Labs + Weekly Projects + Real-Time Full App Development Stack Used: HTML, CSS, JavaScript, React, Node.js, Express, MongoDB, SQL, Git, DevOps Basics

MERN Stack Development – 180-Day Agenda

Total Duration: 180 days (Approx. 6 months, 3–4 hours/day or adjustable) Mode: Theory + Hands-on Practice + Mini-projects + Final Capstone Project Goal: Make students industry-ready full-stack MERN developers

Monolithic vs Microservices Architecture – 90 Days

Duration: 90 days (3–4 hours/day recommended) Mode: Theory + Practical Labs + Mini Projects + Case Studies Goal: Enable learners to design, develop, and deploy monolithic and microservices-based applications.

Graphic Designing Course – 90 Days agenta

Duration: 90 days (3–4 hours/day recommended) Mode: Theory + Hands-on Labs + Mini Projects + Portfolio Building Goal: Equip learners with skills in visual design, branding, UI/UX basics, and professional software tools.

Data Engineering & Big Data Course – 135 Days agenda

Duration: 135 days (~4–5 hours/day recommended) Mode: Theory + Practical Labs + Mini Projects + Capstone Project Goal: Make learners industry-ready data engineers capable of handling large-scale data pipelines, processing, and analytics.

DevOps / Cloud-Native / DevSecOps Course – 113 Days agenda

Duration: 113 days (~4–5 hours/day recommended) Mode: Theory + Hands-on Labs + Mini Projects + Capstone Project Goal: Make learners industry-ready in DevOps practices, cloud-native development, CI/CD automation, and secure software delivery.

Blockchain & Web3 Development Course – 180 Days agenda

Duration: 180 days (~4–5 hours/day recommended) Mode: Theory + Hands-on Labs + Mini Projects + Capstone Project Goal: Equip learners with skills to develop decentralized applications, smart contracts, and Web3 solutions using modern blockchain technologies.

AR/VR & Immersive Tech / Metaverse Basics – 90 Days agenda

Duration: 90 days (~3–4 hours/day recommended) Mode: Theory + Hands-on Labs + Mini Projects + Capstone Project Goal: Equip learners with the knowledge and skills to build AR/VR applications and understand Metaverse concepts.

Edge Computing & IoT / Edge AI / Cloud Integration – 113 Days

Duration: 113 days (~4–5 hours/day recommended) Mode: Theory + Hands-on Labs + Mini Projects + Capstone Project Goal: Enable learners to design, develop, and deploy IoT and Edge AI solutions integrated with cloud services.


AI Ethics & Responsible AI classes – 45 Days agenda

Duration: 45 days (~3–4 hours/day recommended) Mode: Theory + Case Studies + Hands-on Exercises + Mini Projects Goal: Enable learners to understand and implement ethical AI practices in real-world applications.



Generative AI Engineering Course – 120 Days agenda

Duration: 120 days (~4–5 hours/day recommended) Mode: Theory + Hands-on Labs + Mini Projects + Capstone Project Goal: Enable learners to design, develop, and deploy generative AI models for text, images, audio, and multimodal applications.


AI Automation & Agentic Workflows Course – 105 Days agenda

Duration: 105 days (~4–5 hours/day recommended) Mode: Theory + Hands-on Labs + Mini Projects + Capstone Project Goal: Enable learners to design, implement, and deploy AI-driven automated workflows and intelligent agents for real-world business and technical applications.

Data Science, Cloud, and MLOps Course – 240 Days agenda

Duration: 240 days (~4–5 hours/day recommended) Mode: Theory + Hands-on Labs + Mini Projects + Capstone Project Goal: Enable learners to become industry-ready Data Scientists and MLOps Engineers capable of building, deploying, and maintaining ML workflows on cloud infrastructure.

Mobile App Development with Flutter & Dart – 113 Days agenda

Duration: 113 days (~4–5 hours/day recommended) Mode: Theory + Hands-on Labs + Mini Projects + Capstone Project Goal: Enable learners to design, develop, and deploy cross-platform mobile applications using Flutter and Dart.


AI in Cybersecurity classes – 113 Days agenda

Duration: 113 days (~4–5 hours/day recommended) Mode: Theory + Hands-on Labs + Mini Projects + Capstone Project Goal: Enable learners to leverage AI and ML techniques to detect, prevent, and respond to cyber threats effectively.


AI in Cybersecurity classes – 113 Days agenda

Duration: 113 days (~4–5 hours/day recommended) Mode: Theory + Hands-on Labs + Mini Projects + Capstone Project Goal: Enable learners to leverage AI and ML techniques to detect, prevent, and respond to cyber threats effectively.



Ongoing Courses

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Build a strong foundation in Artificial Intelligence concepts, applications, and workflows.

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Master data handling, visualization, and analytical techniques using Python.

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Learn ML algorithms, model building, and modern GenAI technologies.

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Gain essential skills in ethical hacking, digital forensics, and cybersecurity strategies.

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Learn Python from basics to advanced concepts for real-world applications with realtime projects.

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Understand SEO, SEM, content marketing, analytics, and complete digital strategy.

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Explore cloud fundamentals, deployment models, and cloud service platforms.

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Become a complete developer with frontend + backend + database mastery.

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Learn design thinking, user research, prototyping, and interface design with advanced tools

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Build high-performance cross-platform mobile apps with user friendly by learning flutter & dart

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Understand modern software architecture, scalability, and best practices.

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Explore immersive experiences, virtual worlds, and 3D interaction. To make a virtual advanced

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Develop powerful web applications using MongoDB, Express, React, and Node.js.

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Learn data pipelines, ETL, big-data tools, and scalable data systems. Trained with real world datas

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Upgrade your development workflow with CI/CD, automation, and cloud-native tools.

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Master branding, visual design, and digital creativity tools.

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Build, tune, and deploy Generative AI models and intelligent applications.

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Combine the power of AI with the principles of cybersecurity.

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A complete advanced track covering data science, cloud deployment, and MLOps pipelines.

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Learn AI-powered automation, agent workflows, and autonomous systems with realtime projects.

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Learn IoT systems, edge devices, and AI deployment on edge infrastructure and cloud AI.

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Discover decentralized systems, smart contracts, and Web3 applications.

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Understand fairness, transparency, and accountability in AI systems.

DISTANCE & ONLINE PROGRAM GUIDANCE

These are guidance, admission & support services for online university programs.

Distance/Online MBA Guidance

Description: Support for admission, documentation, and course selection for 2-year online MBA.

Duration: 2 Years

Key Features:
• University selection support
• Career-focused specialization guidance
• End-to-end admission help

Distance/Online MCA Guidance

Description: Guidance for MCA aspirants looking to pursue recognized online degrees.

Duration: 2 Years

Key Features:
• Assistance in choosing best university
• IT career mapping
• Admission & documentation help

Distance/Online MCA Guidance

Description: Guidance for MCA aspirants looking to pursue recognized online degrees.

Duration: 2 Years

Key Features:
• Assistance in choosing best university
• IT career mapping
• Admission & documentation help

Distance/Online BCA Guidance

Get expert support in selecting the right BCA program from recognized online universities.

journey.Duration: 3 Years

Features:
Affordable options,
documentation support,
career counseling

Distance/Online BBA Guidance

Choose the best BBA program tailored to your management career goals with our expert.

Duration: 3 Years

Features: University selection, management stream advice, admission support

Online University Guidance

Explore a wide range of online degree programs from top accredited universities.

Duration: 2–3 Years

Features: Wide course availability, recognized universities, student support

Online University Guidance

Explore a wide range of online degree programs from top accredited universities.

Duration: 2–3 Years

Features: Wide course availability, recognized universities, student support

Online Diploma Courses Guidance

Find the right short-term diploma course suited to your interests and career needs.

Duration: 1–2 Years

Features: Short-term diplomas, specialization options, easy admission process

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