By N Suresh
Possesses 38 years of professional experience across assorted industries and is a direct product of the Dual system of education, supplemented by Master’s degrees from the traditional University system. A close observer of Skill India’s advancements for the past 42 years, he has extensively tracked the European and Australian TVET sectors, drawing upon 15 years of direct personal experience in this space.
National Council for Vocational Education and Training (NCVET) was operationalized by subsuming National Council for Vocational Training (NCVT) and National Skill Development Agency (NSDA). This consolidation aimed to unify fragmented Technical and Vocational Education and Training (TVET) architecture. While unified policy control has scaled up, structural deficiencies in monitoring Awarding Bodies (ABs) and Assessment Agencies (AAs) persist. Shifting from volume-driven compliance to outcome-based field execution remains a critical challenge.
Core Flaws in the NCVET Framework
Spatial Overreach and Paper Capacities
Regulatory frameworks grant pan-India jurisdictions to testing entities based on administrative volume. Agencies secure multi-state clearances by presenting databases of freelance Subject Matter Experts (SMEs), multilingual question banks, and registered proctors. This desktop licensing model assumes that mathematical scale translates into local execution capability. In practice, a massive database of freelance examiners does not guarantee logistical infrastructure, quality control, or industry connections required to deploy genuine assessments in remote or rural districts.
Numerical Volume Contradiction
A major structural loophole in the pan-India licensing model is the reliance on absolute numerical thresholds without geographical distribution mandates. For example, an agency can secure national jurisdiction status purely by demonstrating a volume metrics threshold, such as training & assessing 75,000 candidates within a single year. Though the current document June 2025 says “at-least five (05) States/ UTs representing at-least three(03) Regions of India (Clause 2.2.1 b (iii))” a cursory glance of the list of Dual Body indicates many who are a single state operations who qualified only because of the number trained and certified. Fundamentally such framework fails to account for where these training and assessments occur. An entity can train and evaluate the entire volume of 75,000 candidates within a single geography (state or region). Despite having zero operational footprint, zero infrastructure, and zero regional language capability in the remaining states or Union Territories, the entity receives a nationwide operational mandate.
This distortion creates severe operational challenges across the skilling value chain:
- Clustering Illusion: Agencies naturally centralize operations in high-density urban clusters to minimize logistical costs, avoiding remote, hilly, or border regions while maintaining national certification status.
- Sub-Contracting Vulnerabilities: When single-state operators win nationwide public procurement tenders, they frequently scramble to sub-contract ground execution to unverified local freelancers, weakening process monitoring.
- Linguistic Disconnect: Achieving high volume metrics in one region does not ensure an agency possesses the linguistic literacy or contextual subject expertise required to evaluate candidates in culturally diverse states.
The current guideline treats organizational capacity as a product of physical geography rather than evaluating the institutional and digital scale of the applying entity. It also stifles cross-border mobility and locks out highly competent regional players. For example, a top-tier skilling institute based in Noida (Uttar Pradesh) that has successfully trained thousands of students cannot apply to be an AB in neighboring Delhi or Haryana unless they already have historical, recorded numbers inside those specific state borders. Also, if an organization applies for recognition in more than one state (but less than PAN India), the required prior experience (number of trainees/assessments) is a strict mathematical summation of the individual state requirements. The same applies to financial turnover requirements (Section 4.1.3.c).
Coming specifically to Guidelines for Diploma Qualifications (Gazette)
Batch Sizing Flaw: Rigid Capacity Caps
According to Section 8.7.1, the guidelines impose a strict mandate on how institutions can operate their batches:
- Maximum Cap per Batch: The instructional area is limited to a batch size of a maximum of 30 students per batch.
- Single Batch Restriction: By default, an institution is eligible for only one batch per Diploma or Diploma (Advanced) Qualification.
Key Operational Consequences
This rigid structure introduces three major flaws into the training ecosystem:
- Severe Scale Limitations: Capping a program at a single batch of 30 students severely restricts a well-equipped, highly reputed institution from scaling up its successful vocational programs to meet market demand.
- Disincentivizes Growth: Even if an institution has a proven track record, high placement rates, and robust infrastructure, it is bottlenecked by the default “one batch per qualification” rule.
- Regulatory Dependency for Expansion: To bypass this limit, institutions must prove “exceptional circumstances” to NCVET to get additional batches allocated. This introduces administrative red tape and slows down execution.
While this strict sizing is meant to impose a control on 1:30 faculty-student ratio for quality assurance, it creates an institutional bottleneck that hampers the broader goal of rapidly spreading vocationalization across India.
However, there is an exception clause on how an Entity Secures Extra Batches from NCVET
As per the Gazette: “…under exceptional circumstances, institutions with proven capacity and reputation may be considered for the allocation of additional batches by NCVET.”
To deviate from the 1-batch rule and increase annual trainee intake, an institute must formally justify its capacity to NCVET by proving:
- Parallel Infrastructure: Showing that they possess entirely separate, duplicate sets of labs and workshops so that Batch A and Batch B do not fight over the same CNC machines or robotics kits.
- Dedicated Faculty Strength: Proving a strict 1:20 or 1:30 trainer-to-trainee ratio for each extra batch requested, with full-time instructors listed on the portal.
- Linear Multiples: If NCVET approves an entity for 3 batches of an approved Diploma qualification, system locks their portal limits to exactly 3 × 30 = 90 trainees for that academic intake year.
In my experience intake limit (& even Jurisdiction) is observed more in violation than compliance, in the absence of actual field audit.
Field Verification Deficit
The recognition pipeline prioritizes initial documentation screening and committee presentations over active field verification. Once bilateral or tripartite agreements are executed, oversight shifts to self-regulation portals and periodic desk audits. NCVET lacks dedicated regulatory inspectorates to perform unannounced, on-site audits during active testing cycles. Without surprise field validations, standard operating procedures cannot be actively enforced, leaving the system exposed to systemic process compromises.
Structural Interest Conflicts
Allowing dual recognition enables single corporate entities to act as both Awarding Bodies and Assessment Agencies. While this design minimizes operational friction within training cycles, it reduces institutional separation between delivery and certification. When training providers and evaluators operate under shared management networks, robust external auditing becomes essential, yet remains unaddressed by current oversight mechanisms.
Technical and Operational Bottlenecks
Centralizing operations through the KaushalVerse Portal and Academic Bank of Credits (ABC) has faced persistent technical debt. Interoperability issues between older legacy systems and centralized public portals create administrative blockages. Furthermore, rigid National Skills Qualification Framework (NSQF) alignment timelines cause structural bottlenecks. When specialized training modules expire, bureaucratic renewal delays disrupt active training batches, slowing down ecosystem agility.
Performance Analysis Since Inception
Macroeconomic restructuring has standardized long-term and short-term vocational parameters, but grass-roots execution quality varies significantly.
| Performance Domain | Strategic Impact Areas | Systemic Outcomes |
| Regulatory Unification | Consolidated NCVT and NSDA portfolios under unified guidelines. | High success in eliminating conflicting administrative norms. |
| Credit Integration | Co-authored National Credit Framework (NCrF) to establish academic equivalence. | High success in creating clear pathways between vocational and mainstream education. |
| Institutional Expansion | Extended Deemed Awarding Body status to Central Universities and Higher Education Institutions. | Moderate success in expanding formal skilling footprints. |
| Quality Control | Managed testing operations via self-reported portal data and remote tracking. | Low success; persistent exposure to proxy testing and unverified field metrics. |
| Market Responsiveness | Routed curriculum updates through multi-tiered screening panels and committee approvals. | Low success; slow deployment of fast-evolving green energy and technology modules. |
Global Governance Paradigms: ASQA and Germany
Global VET frameworks position regulatory accountability on operational sites rather than documentation matrices, explicitly separating localized capacity from raw scale.
Australia (ASQA): Risk-Based Performance Sampling
The Australian Skills Quality Authority (ASQA) regulates Registered Training Organisations (RTOs) by checking operational evidence instead of corporate policy files. Auditors sample live portfolios, cross-verify completed evaluation patterns, and conduct direct interviews with candidates and trainers.
Crucially, ASQA prevents the numerical volume trap by treating geographic expansion independently. Hitting high enrollment numbers in a home state does not grant automatic national access. RTOs must file a specific Scope Expansion Application for every new territory, proving local physical infrastructure and compliant local delivery sites prior to approval.
Germany: Decentralized Chamber Architecture
Germany’s Dual VET system transfers monitoring duties away from central government bodies to regional industry structures: Chambers of Industry and Commerce (IHK) and Chambers of Crafts (HWK). Local companies must clear physical inspections of workspace safety and trainer qualifications to participate. Employers train candidates but are legally prohibited from testing them. Final examinations are conducted independently by regional tripartite boards comprising employers, teachers, and union representatives, using local peer pressure to protect certification integrity.
Structural Governance Comparison
| Operational Feature | NCVET Model (India) | ASQA Framework (Australia) | Dual VET Architecture (Germany) |
| Primary Audit Metric | Pre-Recognition Verification: Data counts, online forms, and portal declarations. | Performance Auditing: Evaluation of active learner files and live observations. | Co-Regulation: On-site checks of workplaces by regional industry peers. |
| Territorial Authorization | Automated national jurisdiction based on cumulative volume thresholds. | Location-specific authorization requiring independent local proof for every territory. | Region-bound operational permits controlled strictly by local industry chambers. |
| Evaluation Workforce | Freelance assessors hired via non-exclusive private registries. | Institutional assessors subject to strict federal validation standards. | Tripartite panels comprising local industry, labor, and academic experts. |
| Investigation Triggers | Scheduled renewals or formal stakeholder complaints. | Data-driven risk forecasting and random target selections. | Continuous local monitoring by permanent regional advisors. |
Realizing Ground-Truth Accountability
NCVET has established macro-policy structures, credit articulation rules, and national skilling frameworks. However, its reliance on remote, desktop-based licensing weakens ground-level execution. Transitioning to risk-based performance sampling, introducing geographical dispersion thresholds (requiring minimum volume spread across diverse states rather than single-cluster concentrations), or utilizing regional industry networks could address these gaps. Until verification frameworks shift from checking paper database registries to conducting live, independent field audits, true capability will remain separate from compliance documentation.
References
- National Council for Vocational Education and Training. (2020). Guidelines for Recognition and Regulation of Assessment Agencies. Ministry of Skill Development and Entrepreneurship, Government of India.
- National Council for Vocational Education and Training. (2024). Guidelines for Diploma Qualifications in Vocational Education & Training and Skilling. Notification. Gazette of India.
- National Council for Vocational Education and Training. (2023). Revised National Skills Qualification Framework (NSQF) Notification. Gazette of India.
- Australian Skills Quality Authority. (2025). Regulatory Risk Framework and Performance Assessment Methodology. Commonwealth of Australia.
- Federal Ministry of Education and Research (BMBF). (2024). Report on the Vocational Education and Training (VET) System in Germany. Vocational Training Act (BBiG) Compliance Standards.
- National Council for Vocational Education and Training. (2026). Compendium of NCVET Policies, Guidelines, and Digital Migrations (KaushalVerse Framework). Ministry of Skill Development and Entrepreneurship, Government of India.






