Technology capability
Work with hardware, software, digital workflows, AI tools, equipment, networks, instruments, facilities and field systems. Learn the operating logic before taking on greater responsibility.
Programmes / Paratech
Practical support for modern technology.
TUTOR Paratech develops the practical capability required to operate, support, configure, troubleshoot, maintain and improve technology in real environments — from digital and AI systems to robotics, electronics, laboratories, infrastructure and field operations.
01 / What Paratech means
The practical layer around technology.
Paratech is not a second version of Computer Science or AI. It is the practical support layer around systems: the ability to make technology work reliably in the environment where people actually use it.
Operational capability
Configure, test, document, diagnose, maintain and improve. The emphasis is on repeatable execution, evidence, safety and appropriate supervision — not simply knowing the theory.
02 / Integrated Paratech course
Intelligent Systems & Digital Technology Practice.
A broad, project-based Paratech course for learners who want to become capable of working across the modern digital environment — not only using Generative AI, but editing and building websites, creating digital systems, connecting databases and APIs, deploying applications, automating workflows, managing content and media, supporting intelligent systems, and understanding the wider technical infrastructure around them.
01 · Edit
Take an existing site or digital system and safely change structure, text, imagery, navigation, forms, styling, responsive behaviour and content.
02 · Build
Create a complete small website or web application from information architecture through interface, components, data and deployment.
03 · Make it intelligent
Add search, recommendations, AI-assisted workflows, LLM interfaces, knowledge retrieval, agents, automation and evaluation where appropriate.
04 · Connect
Work with APIs, databases, authentication, forms, payments, analytics, storage and external services to make a system operational.
05 · Operate
Handle domains, DNS, hosting, deployments, backups, access control, monitoring, debugging, performance and routine maintenance.
06 · Deliver
Produce a working digital product with documentation, test evidence, handover instructions and a maintainable operating workflow.
The learner works from the interface outward: edit an existing website, build a website, create a small web application, connect data, use APIs, add intelligent features, automate repetitive work, publish the system, monitor it, troubleshoot it and maintain the complete workflow.
Core principle: Understand → Edit → Build → Connect → Automate → Deploy → Operate → Improve.
02 / AI & intelligent systems support
Yes — Paratech includes the AI layer.
AI is now part of the practical technology environment. TUTOR Paratech can therefore support the operational side of AI without duplicating the deeper AI discipline: setting up tools, preparing data, operating models, evaluating outputs, managing workflows and supporting deployment.
Depending on the programme, learners can work with prompt workflows, LLM interfaces, retrieval-augmented knowledge systems, multimodal generation, model evaluation, AI-assisted documentation, agent workflows, local inference and practical AI deployment.
03 / Paratech pathways
Now the pathways match the technology.
Each pathway should have its own environment, equipment, workflows, evidence and progression. The integrated course sits alongside specialist pathways, giving learners a broad route across the digital and intelligent-systems layer while specialist pathways go deeper into particular environments.
01 / AI & GENERATIVE SYSTEMS
Generative AI & AI Operations
Operate practical AI environments: LLM tools, generative workflows, prompt systems, RAG knowledge bases, multimodal tools, agents, evaluation and AI-assisted production.
LLMsGenAIAgentsRAG
02 / DATA & MODEL SUPPORT
AI / ML & Data Operations
Prepare datasets, run experiments, track models, inspect outputs, manage pipelines and support practical machine-learning workflows under defined technical standards.
DataMLEvaluationPipelines
03 / COMPUTE & AI INFRASTRUCTURE
AI Compute & Infrastructure
Support workstations, GPU environments, local inference, model serving, storage, networking and the operational side of scaling AI workloads.
GPUInferenceServersLocal AI
04 / ROBOTICS & AUTOMATION
Robotics & Automation Support
Operate robotic cells, sensors, actuators, control interfaces and automated workflows; diagnose routine issues and document operating procedures.
RobotsControlsSensorsAutomation
05 / EMBEDDED & EDGE
Embedded & IoT Systems
Work with microcontrollers, development boards, sensors, communication modules and edge devices through practical testing, configuration and deployment support.
MCUsIoTSensorsEdge
06 / DIGITAL SECURITY
Cybersecurity Operations Support
Support endpoint, network and application environments through monitoring, basic diagnostics, configuration, documentation, access practices and incident workflows.
SOCMonitoringAccessIncidents
07 / CLOUD & SYSTEMS
Cloud, Network & Systems Support
Operate computing infrastructure, networks, servers, storage and cloud-connected environments with emphasis on reliability, documentation and troubleshooting.
CloudNetworksServersOps
08 / ELECTRONICS & INSTRUMENTATION
Electronics & Laboratory Support
Work with measurement instruments, electronics benches, test procedures, components and laboratory workflows where appropriate.
MetersTestingBenchesInstruments
09 / FIELD & GEOSPATIAL
Field Technology & Survey Support
Use field instruments, digital records, measurement systems, site workflows and geospatial technology with appropriate safety and supervision.
SurveyGISFieldMeasurement
10 / XR & DIGITAL WORK
XR, Simulation & Technical Media
Support immersive technical workflows such as XR-assisted maintenance, simulation, digital twins, visual documentation and interactive technical media.
XRSimulation3DMedia
11 / TECHNICAL SERVICE
Hardware & Technical Systems Support
Diagnose, configure, repair and maintain hardware/software environments and create the technical records needed for dependable service.
DiagnosticsRepairMaintenanceRecords
12 / AI LAB & RESEARCH SUPPORT
AI Laboratory & Research Operations
Support experiments, model runs, datasets, notebooks, reproducibility, compute allocation, technical records and research workflows in AI laboratories.
ResearchNotebooksComputeReproducibility
13 / INTEGRATED DIGITAL SYSTEMS
Intelligent Systems & Digital Technology Practice
The broad digital Paratech course: edit and build websites, create web applications, connect APIs and databases, deploy systems, use Generative AI and agents, automate workflows, manage digital content, and operate the surrounding technology stack.
WebAPIsAIAutomation
14 / EDUCATION TECHNOLOGY SUPPORT
Paraeducator & Education Technology Support
Support teachers and learners in digital or hybrid environments: virtual classroom operation, LMS administration, digital resources, assessment workflows, lesson production, troubleshooting and responsible AI-assisted teaching support.
ParaeducatorLMSClassroom OpsDigital Support
04 / Practical operating model
Every pathway follows the same discipline.
The subject changes. The operating logic stays consistent: understand the environment, prepare correctly, execute, diagnose, maintain and improve.
01
Orient
Identify systems, tools, components, interfaces, terminology, constraints and safety requirements.
02
Prepare
Set up equipment, software, data, workspace, permissions, materials and the documented procedure.
03
Operate
Perform the workflow under the appropriate supervision and record relevant observations.
04
Diagnose
Recognise deviations, isolate likely causes, test hypotheses and document the resolution.
05
Maintain
Keep systems usable through inspection, updates, cleaning, backups, records and controlled maintenance.
06
Improve
At advanced levels, improve procedures, automation, documentation, reliability or system design.
05 / Environments & equipment
The facility is part of the learning design.
A Paratech programme should tell the learner exactly where the practical work happens and what equipment is available or required.
AI / Compute
Workstations, GPUs, local model runtimes, notebooks, storage, networking, model interfaces and evaluation environments.
Digital systems
Operating systems, software tools, databases, collaboration systems, monitoring dashboards and technical documentation.
Robotics / IoT
Robotic platforms, sensors, actuators, controllers, development boards, communication modules and test environments.
Electronics / Lab
Multimeters, oscilloscopes, signal sources, soldering tools, circuit trainers, measurement equipment and laboratory workstations where applicable.
Field
Survey instruments, portable systems, field records, geospatial tools and site-specific protective equipment where required.
Specialist facilities
Workshops, AI labs, robotics labs, media/XR studios, technical service centres or other facilities appropriate to the pathway.
06 / Capability progression
From supervised operation to system architecture.
The same six-level TUTOR architecture applies, but the evidence is adapted to the technical domain.
LEVEL 01
Foundations
Terminology, environment, tools, safety, interfaces and basic supervised tasks.
LEVEL 02
Practice
Repeatable workflows, configuration, measurement, records and guided troubleshooting.
LEVEL 03
Build
Complete defined technical tasks and solve routine operational problems.
LEVEL 04
Professional
Operate reliably in real environments and coordinate technical work with others.
LEVEL 05
Architect
Design operating models, workflows, support systems and improvements.
LEVEL 06
Frontier
Investigate emerging tools, AI systems, automation and new technical operating models.
07 / Projects & evidence
Competence leaves a technical record.
The evidence changes with the pathway, but it should show what the learner actually operated, built, diagnosed, evaluated or improved.
AI workflow
Build and document a generative-AI workflow with prompts, evaluation criteria, source controls and an operational handoff.
System support
Diagnose a defined hardware/software issue, record the fault tree and produce a repeatable resolution procedure.
Automation
Configure a sensor, robotic or software automation workflow and demonstrate repeatable operation.
Field record
Complete a measurement or field task with instrument setup, observations, records, quality checks and reporting.
08 / Connections
Paratech supports the rest of TUTOR.
The purpose is not to isolate practical technology skills; it is to strengthen another discipline, profession, programme or operational environment.
09 / Learning formats
Delivery follows the technical environment.
Common foundations, digital workflows, AI tool operation and structured practical exercises for groups.
Batch
Common foundations, digital workflows, AI tool operation and structured practical exercises for groups.
Premium
Smaller-group practical supervision, specialist interaction, projects and deeper troubleshooting.
One-to-one
Individual technical development, project support, system setup and guided practice.
Facility / Field
Lab, workshop, robotics, electronics, AI compute, field or specialist-facility delivery where required.
10 / Pathway-specific pricing
Each technical pathway has a defined fee.
Paratech is not priced as one generic course. Every published pathway fee is an all-inclusive programme fee for the selected format. Standard practical, laboratory, equipment, AI workspace, field and specialist-access requirements are built into the listed price.
11 / Fees & enrolment
Choose the pathway. The published fee is all-inclusive.
Select the pathway above and choose the delivery format. The pathway-specific table is the complete published Paratech pricing reference.
BATCH
Structured Batch
₹2,000–₹3,500/month
Group learning for common foundations and practical technical workflows. Standard programme requirements are included.
PREMIUM
Premium
₹4,000–₹6,000/month
Enhanced supervision, smaller groups and deeper practical/project support. Standard programme requirements are included.
ONE-TO-ONE
One-to-One
₹8,000–₹15,000/month
Individual technical learning and project support with the standard practical environment required by the pathway.
Programme fees depend on the pathway and its practical requirements. Admissions confirm the exact fee for your pathway and format before you pay.
Operate. Support. Improve.
Choose the integrated digital route or a specialist technology environment, then build practical capability around it.