A two-year postgraduate program with 20 core courses, 5 specialization tracks, and 4 professional electives per student. The core layers full-stack, AI/ML, GenAI, agentic AI, MLOps, cloud-native, cybersecurity, and Web3 as mandatory ground for every graduate. Specialization adds depth.
A graduate computer applications program targeting 2026 hiring. The structure is engineered backward from where MCA students will be placed: full-stack engineers who ship AI-native applications, agentic AI builders, cloud-native platform developers, and security-aware product engineers.
Every MCA graduate ships AI-native applications. The core layers Python, FastAPI/Flask/Django + React, PostgreSQL/MongoDB into Full Stack I & II, then folds GenAI APIs and Agentic AI directly into full-stack contexts via dedicated platform-engineering courses. There is no GenAI stream — it is the floor.
The core covers AI/ML, DL/LLM/RAG, GenAI Platform, Agentic AI + MCP, MLOps, Cloud DevOps, Offensive/Defensive Security, DevSecOps, Blockchain, and Web3 for every student. The 5 PE tracks go deeper or lateral — never replicate. Conversational AI, SRE, Threat Hunting, DeFi, Causal Analytics: depth, not redundancy.
Twenty-four academic items run in PBL trimester mode — 6 trimesters of 4 courses (with T5/T6 expanded to 5 including Capstone I & II), plus a summer industry internship between Y1 and Y2. Uniform prerequisite spine and outcome mapping. Every graduate ships four professional-elective courses drawn from any of the five specialisation tracks.
The strategic foundations that shape every course, every project, and every graduate. Vision anchors the long horizon; Mission Statements operationalise it into three pillars. Program Educational Objectives (PEOs) describe what graduates should be doing 3–5 years after leaving KLEF, and Program Outcomes (POs) specify the graduate attributes attained by the end of the programme.
Impart comprehensive computing skills catering to the emerging societal needs.
Focus on the all-round development of students through extension, innovation and research.
Instil social responsibility with intrinsic values.
Broad career and professional goals every graduate will demonstrably attain within 3–5 years of graduation.
Level of articulation: H=High (3) · M=Medium (2) · L=Low (1).
| PEO | M1 Comprehensive computing skills |
M2 All-round development |
M3 Social responsibility |
Avg |
|---|---|---|---|---|
| PEO1 | H | H | M | 2.67 |
| PEO2 | H | H | H | 3.00 |
| Avg | 3.00 | 3.00 | 2.50 | 2.83 |
Graduate attributes attained by the end of the programme — six outcomes covering computational knowledge, analytical rigour, engineering design, tool usage, project management & communication, and lifelong ethical practice.
KLEF Y26 MCA regulations verbatim in essence — admission, registration, credit structure, assessment, grading, attendance, betterment, credit transfer, counselling, malpractice penalties and grievance redressal. Delivered entirely through Project-Based Learning in trimester mode under CBCS and OBE.
These regulations govern the MCA program at KLEF (Koneru Lakshmaiah Education Foundation), delivered entirely through Project-Based Learning (PBL) in trimester mode under the Choice-Based Credit System and Outcome-Based Education framework.
For each academic program, the curriculum specifies the credits, course category, codes, titles and delivery methods (Lectures, Tutorials, Practice, Skills, Projects, Self-Study, Capstone Design, etc.) under the Choice-Based Credit System (CBCS), designed, implemented and assessed under the Outcome-Based Education (OBE) framework. Indian Knowledge Systems (IKS), the UN Sustainable Development Goals (SDGs) and Design-Thinking principles are embedded into courses from their inception.
Credits are allocated based on the L-T-P-S structure. The MCA program is delivered entirely through Project-Based Learning (PBL) in trimester mode.
The Summer Term helps students catch up or get ahead.
To be eligible for the award of the MCA degree, a student must fulfil all of the following:
KLEF awards Gold and Silver medals to the top two candidates in each program at the Annual Convocation, based on CGPA, subject to:
A registered, promoted student is eligible for the Term-End examination unless found ineligible due to:
Assessment in each theory course consists of Term-In examinations, continuous assessment (quizzes, tutorials, home assignments, active-learning methods) and the Term-End examination. Students should refer to the course handout for details.
Absence from a Term-In or Term-End examination is considered for a make-up examination only under:
Each student is graded on an absolute or relative grading system. Relative grading applies only to a section with 25 or more registered students. The choice of grading system is decided by the course coordinator with the approval of the Dean (Academics) and is specified in the course handout.
| Performance | Grade | Grade Point | Marks % |
|---|---|---|---|
| Outstanding | O | 10 | 90–100 |
| Excellent | A+ | 9 | 80–89 |
| Very Good | A | 8 | 70–79 |
| Good | B+ | 7 | 60–69 |
| Above Average | B | 6 | 50–59 |
| Fail | F | 0 | 0–49 |
| Absent | AB | 0 | Absent |
Under relative grading, μ is the mean mark of the class (excluding students scoring ≥ 90% or ≤ 50% after rounding) and σ is the standard deviation of the marks.
| Grade | Grade Point | Calculation |
|---|---|---|
| O | 10 | marks ≥ 90% and marks ≥ μ + 1.5σ |
| A+ | 9 | μ + 0.5σ ≤ marks < μ + 1.5σ |
| A | 8 | μ ≤ marks < μ + 0.5σ |
| B+ | 7 | μ − 0.5σ ≤ marks < μ |
| B | 6 | μ − 1.0σ ≤ marks < μ − 0.5σ |
| F | 0 | marks < μ − 1.0σ, or marks ≤ 49 |
| AB | 0 | Absent |
A course handout is a document providing essential information about a course — a roadmap of expectations, assignments and grading.
KLEF implements a comprehensive Mentor-Mentee Scheme and a Central Academic Counselling Board (CACB) to address academic, career and psychological needs. Each student is assigned a faculty mentor as guide, counselor and advocate for academic and personal growth.
The ACB is constituted by the Dean (Academics), comprising a Chairman, Convener, Principal/Director, HOD and a Professor/Associate Professor. A student is placed under the ACB when they:
The following constitute malpractice during examinations, with penalties as noted:
Plagiarism is a serious breach of academic integrity; the university enforces a strict zero-tolerance policy.
Eight curricular domains. Every course carries a PBL LTPS spec — for PBL trimesters (30–42 CH/wk in the applied capstone terms). Same content, same credits; weekly intensity differs because trimesters compress 12 weeks where semesters spread 16. Cards are colour-coded by domain; prereq labels are sienna.
Each student picks one track at the start of Year 2 and takes four professional electives from it. The tracks reuse the BCA specialization model, with redundant courses removed where MCA core already provides the foundation. Every PE is 3 credits, 4 contact hours, delivered with a 2:0:2:0 LTPS split.
With 4 PE slots per student and 5 stream choices, the program offers 20 distinct PEs in the catalog while keeping student commitment focused. Tracks are reused from the BCA design with deliberate pruning: BCA's Smart Contract Development PE was dropped (already a core in MCA), and DeFi was redesigned to go deeper than the BCA equivalent. Every PE has a single core prerequisite from Year 1, ensuring all tracks open cleanly in T4 / S2.
Trimester mode runs four courses per term at 32–34 CH/wk; T5 and T6 expand to 5 items (4 standard + Capstone) and rise to 36 CH/wk, which is the program-wide ceiling per institutional norms. Standard 3-cr courses run at CH=8 in T1–T4 and at CH=7 in T5/T6 to make room for the 8 CH capstone.
Y1: 13 + 14 + 13 = 40 cr · Summer: 4 cr · Y2: 12 + 17 + 17 = 46 cr · Total = 90 cr · Per-term CH/wk: 34 / 32 / 32 / 32 / 36 / 36 (all within 32–38 band)
Semester mode runs 6 courses in Y1 and 7 items in Y2 (incl. capstone). All 27 academic items match the PBL inventory exactly — only the calendar shape changes. Y1 holds 32–34 CH/wk; Y2 capstone semesters land at 36 CH/wk at the program-wide ceiling.
Y1: 20 + 20 = 40 cr · Summer: 4 cr · Y2: 23 + 23 = 46 cr · Total = 90 cr · Per-sem CH/wk: 34 / 32 / 38 / 38 (all within 32–38 band)
Every directed edge represents a single-prereq relationship enforced by the curriculum. Layered by trimester (T1 to T6) with the summer internship sitting between Years 1 and 2. Capstone I and II form the strong sienna spine through Year 2. PEs (sienna boxes) inherit their prereqs from Year 1 cores, ensuring all five tracks open cleanly in T4.
Each track's four PEs draw their prerequisite from a different Year 1 core, so the timing remains clean regardless of which track a student picks. PEs run in T4–T6 (PBL) or S2–S4 (Regular).
| Track | PE Course | Code | Prereq | Earliest |
|---|---|---|---|---|
| A · AI | Conversational AI & Speech Systems | MCA301 | AIML | T4 / S2 |
| A · AI | Computer Vision & Multimodal AI | MCA302 | ADRG | T4 / S2 |
| A · AI | Recommender Systems & Personalization | MCA303 | AIML | T4 / S2 |
| A · AI | Intelligent Document Processing & RPA | MCA304 | ADRG | T4 / S2 |
| B · Cloud | Microservices, Service Mesh & Distributed Systems | MCA401 | CDVO | T4 / S2 |
| B · Cloud | Event-Driven & Stream Processing | MCA402 | CDVO | T4 / S2 |
| B · Cloud | SRE & Advanced Observability | MCA403 | CDVO | T4 / S2 |
| B · Cloud | Serverless, Edge & FaaS Computing | MCA404 | CDVO | T4 / S2 |
| C · Cyber | Advanced Threat Hunting & Adversary Emulation | MCA501 | OFSC | T4 / S2 |
| C · Cyber | Privacy Engineering & Data Protection | MCA502 | DBDA | T4 / S2 |
| C · Cyber | Cloud Native Security & Zero Trust | MCA503 | CDVO | T4 / S2 |
| C · Cyber | Security Governance, Risk & Compliance | MCA504 | OFSC | T4 / S2 |
| D · DeFi | DeFi Protocols & Tokenomics Engineering | MCA601 | PYPS | T4 / S2 |
| D · DeFi | Fintech Apps — Payments, Trading, Lending | MCA602 | FSPD | T4 / S2 |
| D · DeFi | RegTech & Compliance Automation | MCA603 | DBDA | T4 / S2 |
| D · DeFi | Enterprise Distributed Ledger & Layer-2 | MCA604 | BCSC | T5 / S3 |
| E · Data | Analytics Engineering & Modern Data Platforms | MCA701 | PYPS | T4 / S2 |
| E · Data | Causal Analytics & Experimentation | MCA702 | AIML | T4 / S2 |
| E · Data | Business Forecasting & Demand Analytics | MCA703 | AIML | T4 / S2 |
| E · Data | Customer Growth & Behavioral Analytics | MCA704 | DSAV | T4 / S2 |
The 90-credit total lands above AICTE's 80-credit floor without bloat. Programming + Full Stack + AI/GenAI together account for 28 cr (31% of program), reflecting the design priority. PEs and capstone close the rest with professional depth.
| Bucket | Items | Credits |
|---|---|---|
| Programming Foundations (D1) | 2 | 7 |
| Full Stack Engineering (D2) | 2 | 8 |
| AI / ML / GenAI (D3) | 4 | 13 |
| Data Science (D4) | 2 | 6 |
| Systems & Infrastructure (D5) | 4 | 12 |
| Adaptive SE w/ MLOps (D6) | 1 | 3 |
| Cybersecurity (D7) | 3 | 9 |
| Blockchain & Web3 (D8) | 2 | 6 |
| Professional Electives (4 from chosen track) | 4 | 12 |
| Capstone Project I + II (D9) | 2 | 10 |
| Technical Internship (Summer) | 1 | 4 |
| Professional Communications (audit · 0 cr) | 1 | 0 |
| Total | 27 + 1A | 90 |
AI / GenAI domain leads at 13 credits, followed by Systems at 12 credits, and the chosen PE track + Capstone at 26 credits. Together these define what an MCA graduate can build.
| Term | Items | Cr | CH/wk |
|---|---|---|---|
| T1 + audit | 5 | 13 | 34 |
| T2 | 4 | 14 | 32 |
| T3 | 4 | 13 | 32 |
| Summer (TINT) | 1 | 4 | — |
| T4 | 4 | 12 | 32 |
| T5 (incl. CP1) | 5 | 17 | 36 |
| T6 (incl. CP2) | 5 | 17 | 36 |
| Total | 28 | 90 | — |
| Sem | Items | Cr | CH/wk |
|---|---|---|---|
| S1 + audit | 7 | 20 | 34 |
| S2 | 6 | 20 | 32 |
| Summer (TINT) | 1 | 4 | — |
| S3 (incl. CP1) | 7 | 23 | 38 |
| S4 (incl. CP2) | 7 | 23 | 38 |
| Total | 28 | 90 | — |
The Skill Development Centre mandates a stringent L0–L3 certification pathway with parallel Advanced and Regular tracks across all five MCA specializations. Every graduate completes 3 universal foundation certifications plus 4 track-specific certifications (one per level). Only paid, proctored, globally-recognised vendor credentials count toward SDC credit. MOOC course-completion certificates do not.
Each MCA student progresses through four certification levels matched to the two-year program spine. Advanced track targets premium placements (₹15–30+ LPA); Regular track targets stable industry placements (₹8–15 LPA). The track choice is recorded at the start of Year 1 and reviewed each trimester.
Establishes the core domain fundamentals. Cloud Practitioner, MongoDB Associate, Python PCAP, CompTIA Security+, NVIDIA DLI Deep Learning, Databricks Data Analyst.
Hands-on associate certifications demonstrating applied capability. AWS SAA, Azure AZ-104, MongoDB Node.js, NVIDIA RAG Agents, CompTIA PenTest+.
Professional certifications validating specialised expertise. CKAD, Databricks GenAI Pro, EC-Council CEH v13, Hyperledger Fabric Dev, GCP Pro Data Engineer.
Specialist-tier credentials for architect/leadership roles. AWS ML Specialty, OSCP, AWS DevOps Pro, AWS Data Analytics Specialty, GCP Pro ML Eng.
Only paid, proctored, globally-recognised vendor certifications issued directly by the primary technology vendor: AWS, Microsoft Azure, Google Cloud, Cisco, CompTIA, Oracle, Red Hat, NVIDIA DLI paid tracks, MongoDB University paid exams, Databricks, EC-Council, Offensive Security, HashiCorp, CNCF, Linux Foundation paid exams, ConsenSys.
MOOC-platform-issued certificates (Coursera specialisations, edX MicroMasters, Udemy, Udacity nanodegrees, Great Learning, Simplilearn, LinkedIn Learning), online completion badges, and free foundation badges (AZ-900, AWS introductory) count only as prerequisite study material, not formal credit.
Independent of specialisation track. These three certifications certify the universal Year 1 capabilities of every MCA graduate — Python programming, full-stack database fluency, and cloud platform literacy.
OOP, modules, exceptions, file I/O, libraries. Industry-standard Python associate credential issued by the Python Institute (OpenEDG).
Document modelling, aggregation, indexing, transactions, drivers. Globally recognised by full-stack hiring managers across product and consulting firms.
Cloud concepts, AWS services, security, billing, architecture. Foundational cloud credential common to almost every campus-drive shortlist.
Each MCA student picks one of five specialisation tracks at the start of Year 2 and completes four certifications from the chosen ladder — one per level. The Advanced ladder targets premium placements; the Regular ladder targets stable industry placements. Course mappings on the right show which MCA courses prepare for each cert.
| L | Timing | Advanced Track | Regular Track | Course Map |
|---|---|---|---|---|
| L0 | Y1 T2 / S1 |
NVIDIA DLI Deep Learning
NVIDIA · $100
|
DASAC Certified Data Scientist
DASAC · $250
|
AIML Partial |
| L1 | Y1 T3 / S2 |
NVIDIA DLI Building RAG Agents with LLMs
NVIDIA · $90
|
DASAC Certified GenAI Engineer
DASAC · $350
|
ADRG Direct |
| L2 | Y2 T4 / S3 |
NVIDIA DLI Advanced Generative AI
NVIDIA · $90
|
Databricks Generative AI Engineer Professional
Databricks · $200
|
GAIP Direct |
| L3 | Y2 T5–T6 / S4 |
AWS Certified Machine Learning Specialty (MLS-C01)
AWS · $300
|
GCP Professional ML Engineer
Google Cloud · $200
|
AAFM PE-A Partial |
| L | Timing | Advanced Track | Regular Track | Course Map |
|---|---|---|---|---|
| L0 | Y1 T1 / S1 |
AWS Certified Cloud Practitioner
AWS · $100
|
Microsoft Azure Fundamentals (AZ-900) [study material]
Microsoft · ₹0 (free)
|
CDVO Direct |
| L1 | Y1 T3 / S2 |
AWS Certified Solutions Architect Associate (SAA-C03)
AWS · $150
|
Microsoft Azure Administrator (AZ-104)
Microsoft · $165
|
CDVO PE-MSDS Partial |
| L2 | Y2 T4–T5 / S3 |
CKAD — Certified Kubernetes Application Developer
CNCF · Linux Foundation · $395
|
CKA — Certified Kubernetes Administrator
CNCF · Linux Foundation · $395
|
PE-MSDS PE-SREO Direct |
| L3 | Y2 T6 / S4 |
AWS DevOps Engineer Professional (DOP-C02)
AWS · $300
|
GCP Professional Cloud DevOps Engineer
Google Cloud · $200
|
DVSO PE-SREO Partial |
| L | Timing | Advanced Track | Regular Track | Course Map |
|---|---|---|---|---|
| L0 | Y1 T2 / S1 |
CompTIA Security+ (SY0-701)
CompTIA · $411
|
Cisco CCST Cybersecurity
Cisco · $75
|
OFSC Direct |
| L1 | Y1 T3 / S2 |
CompTIA PenTest+ (PT0-003)
CompTIA · $411
|
CompTIA CySA+ (CS0-003)
CompTIA · $411
|
OFSC Direct |
| L2 | Y2 T5 / S3 |
EC-Council Certified Ethical Hacker v13 (312-50)
EC-Council · $1,200
|
Cisco CyberOps Associate (200-201)
Cisco · $300
|
DFSC PE-ATHA Direct |
| L3 | Y2 T6 / S4 |
OSCP — Offensive Security Certified Professional (PEN-200)
Offensive Security · $1,749
|
AWS Security Specialty / eLearnSecurity eCPPT
AWS · $300 / INE · $400
|
DVSO PE-CNZT Partial |
| L | Timing | Advanced Track | Regular Track | Course Map |
|---|---|---|---|---|
| L0 | Y1 T2 / S1 |
ConsenSys Blockchain Developer Bootcamp
ConsenSys · $295
|
Bloomberg Market Concepts (BMC)
Bloomberg · $199
|
PYPS BCSC* Foundational |
| L1 | Y2 T4 / S3 |
Certified Blockchain Developer — Ethereum (CBDE)
Blockchain Council · $595
|
NISM Series XV — Research Analyst
NISM (SEBI) · ₹2,000
|
BCSC PE-DFTE Direct |
| L2 | Y2 T5 / S3 |
Hyperledger Fabric Developer Advanced
Linux Foundation · $300
|
Salesforce Financial Services Cloud Accredited Pro
Salesforce · $200
|
W3DA PE-EDLT Direct |
| L3 | Y2 T6 / S4 |
Certified Blockchain Architect (Solidity Specialist)
Blockchain Council · $695
|
CFA Level I (Chartered Financial Analyst)
CFA Institute · ₹55,000+
|
PE-FAPL PE-RTCA Foundational |
| L | Timing | Advanced Track | Regular Track | Course Map |
|---|---|---|---|---|
| L0 | Y1 T3 / S2 |
Databricks Certified Data Analyst Associate
Databricks · $200
|
Microsoft Power BI Data Analyst Associate (PL-300)
Microsoft · $165
|
DSAV Direct |
| L1 | Y2 T4 / S3 |
Databricks Certified Data Engineer Associate
Databricks · $200
|
Microsoft Azure Data Engineer Associate (DP-203)
Microsoft · $165
|
DSAV PE-ANEM Direct |
| L2 | Y2 T5 / S3 |
Databricks Certified Data Engineer Professional
Databricks · $200
|
GCP Professional Data Engineer
Google Cloud · $200
|
DSSC PE-ANEM Direct |
| L3 | Y2 T6 / S4 |
AWS Certified Data Analytics Specialty
AWS · $300
|
Snowflake SnowPro Advanced Architect
Snowflake · $375
|
DSSC PE-CGBA Partial |
For each MCA core course, the table below shows which globally-recognised vendor certification the course best prepares the student for, and whether the mapping is Direct (curriculum aligns with cert blueprint), Partial (covers a meaningful subset; needs additional self-study), or Foundational (covers prerequisite concepts; significant extra prep required).
| Course ID | Acr | Course Name | Best-Fit Certification | Vendor | Mapping |
|---|---|---|---|---|---|
| MCA101 | PYPF | Python Programming I | Python PCAP-31-03 | Python Institute | Direct |
| MCA111 | PYPS | Python Programming II | Python PCPP-32-101 (Advanced) + LeetCode 200+ | Python Institute | Partial |
| MCA112 | FSPD | Full Stack Development I | MongoDB Associate Developer | MongoDB Inc. | Direct |
| MCA121 | FSMR | Full Stack Development II | MongoDB Associate Developer for Node.js | MongoDB Inc. | Direct |
| MCA113 | AIML | AI & Machine Learning | NVIDIA DLI Deep Learning | NVIDIA | Partial |
| MCA122 | ADRG | Applied DL, LLM & RAG | NVIDIA DLI Building RAG Agents with LLMs | NVIDIA | Direct |
| MCA201 | GAIP | GenAI API & AI Platform | Databricks Generative AI Engineer Professional | Databricks | Direct |
| MCA211 | AAFM | Agentic AI + FullStack + MCP | AWS Certified ML Specialty (MLS-C01) | AWS | Partial |
| MCA202 | DSAV | Data Science, Analytics & Viz | Tableau Desktop Specialist / Power BI PL-300 | Salesforce / Microsoft | Direct |
| MCA223 | DSSC | Data Science for Scale | Databricks Data Engineer Associate | Databricks | Direct |
| MCA102 | LXOS | Linux & OS Administration | Linux Foundation LFCS / Red Hat RHCSA | Linux Foundation / Red Hat | Direct |
| MCA103 | DBDA | Database & Distributed DB Admin | Oracle Database SQL Certified Associate | Oracle | Direct |
| MCA104 | CDVO | Cloud Admin & DevOps | AWS Certified Cloud Practitioner → SAA | AWS | Direct |
| MCA123 | HPCM | HPC & Cluster Management | Linux Foundation CKA / NVIDIA DLI Multi-GPU | CNCF / NVIDIA | Partial |
| MCA124 | ASEM | Adaptive SE with MLOps | Databricks ML Engineer Associate | Databricks | Direct |
| MCA114 | OFSC | Offensive Security | CompTIA Security+ → CompTIA PenTest+ | CompTIA | Direct |
| MCA213 | DFSC | Defensive Security | CompTIA CySA+ / Cisco CyberOps Associate | CompTIA / Cisco | Direct |
| MCA222 | DVSO | DevSecOps | AWS DevOps Engineer Pro / HashiCorp Terraform Assoc | AWS / HashiCorp | Partial |
| MCA212 | BCSC | Blockchain & Smart Contract | Certified Blockchain Developer (CBDE) | Blockchain Council / ConsenSys | Direct |
| MCA221 | W3DA | Web3 & dApp Development | Hyperledger Fabric Developer Advanced | Linux Foundation | Direct |
| MCA902 | CPS1 | Capstone I | (Track-dependent: students apply chosen-track L2/L3 cert in capstone) | n/a | Foundational |
| MCA903 | CPS2 | Capstone II | (Track-dependent: students apply chosen-track L3 cert in capstone) | n/a | Foundational |
Reverse mapping showing each certification (grouped by issuing vendor) with the MCA courses that prepare a student to sit for it. A direct fit means the course curriculum substantially covers the cert blueprint; partial means additional self-study is expected.
| Vendor | Certification | Prep Course(s) | Mapping |
|---|---|---|---|
| AWS | AWS Certified Cloud Practitioner (CLF-C02) | CDVO | Direct |
| AWS | AWS Solutions Architect Associate (SAA-C03) | CDVO PE-MSDS | Partial |
| AWS | AWS DevOps Engineer Professional | DVSO PE-SREO | Partial |
| AWS | AWS Certified ML Specialty (MLS-C01) | AIML ASEM AAFM | Partial |
| AWS | AWS Data Analytics Specialty | DSSC PE-ANEM | Partial |
| AWS | AWS Security Specialty | DVSO PE-CNZT | Partial |
| Microsoft | Azure Administrator (AZ-104) | CDVO | Partial |
| Microsoft | Azure Data Engineer Associate (DP-203) | DSAV DSSC | Direct |
| Microsoft | Power BI Data Analyst (PL-300) | DSAV | Direct |
| Google Cloud | GCP Professional ML Engineer | AIML ADRG GAIP | Partial |
| Google Cloud | GCP Professional Data Engineer | DSAV DSSC | Direct |
| Google Cloud | GCP Professional Cloud DevOps Engineer | DVSO PE-SREO | Direct |
| Python Institute | Python PCAP-31-03 | PYPF | Direct |
| MongoDB | MongoDB Associate Developer (Node.js) | FSPD FSMR | Direct |
| Oracle | Oracle DB SQL Certified Associate | DBDA | Direct |
| Linux Foundation | LFCS / RHCSA | LXOS | Direct |
| Linux Foundation / CNCF | CKAD / CKA | HPCM PE-MSDS | Direct |
| NVIDIA DLI | NVIDIA DLI Deep Learning | AIML | Partial |
| NVIDIA DLI | NVIDIA DLI Building RAG Agents with LLMs | ADRG | Direct |
| NVIDIA DLI | NVIDIA DLI Advanced Generative AI | GAIP | Direct |
| NVIDIA DLI | NVIDIA DLI Computer Vision Specialization | PE-CVMA | Direct |
| Databricks | Databricks Generative AI Engineer Pro | GAIP AAFM | Direct |
| Databricks | Databricks Data Engineer Associate / Pro | DSAV DSSC | Direct |
| Databricks | Databricks ML Engineer Associate | ASEM | Direct |
| CompTIA | CompTIA Security+ (SY0-701) | OFSC | Direct |
| CompTIA | CompTIA PenTest+ (PT0-003) | OFSC PE-ATHA | Direct |
| CompTIA | CompTIA CySA+ (CS0-003) | DFSC | Direct |
| EC-Council | Certified Ethical Hacker v13 (CEH) | DFSC PE-ATHA | Direct |
| Offensive Security | OSCP (PEN-200) | PE-ATHA DVSO | Partial |
| Cisco | Cisco CyberOps Associate (200-201) | DFSC | Direct |
| IAPP | CIPP/E or CIPM (Privacy) | PE-PVED | Direct |
| HashiCorp | HashiCorp Terraform Associate | DVSO CDVO | Partial |
| ConsenSys | ConsenSys Blockchain Developer Bootcamp | BCSC | Direct |
| Blockchain Council | Certified Blockchain Developer Ethereum (CBDE) | BCSC PE-DFTE | Direct |
| Linux Foundation | Hyperledger Fabric Developer Advanced | W3DA PE-EDLT | Direct |
| Snowflake | SnowPro Advanced Architect | DSSC PE-ANEM | Partial |
| dbt Labs | dbt Analytics Engineer Certificate | PE-ANEM | Direct |
| Confluent | Confluent Certified Developer for Kafka | PE-EDSP | Direct |
| Salesforce / Tableau | Tableau Desktop Specialist | DSAV | Direct |
How the foundations and track-specific ladders flow across the four trimesters / four semesters. Year 1 carries the universal foundations and L0–L1 of the chosen track; Year 2 layers L2–L3 on top of the capstone project.
Each MCA graduate completes 3 universal foundations + 4 track-specific certifications (L0–L3) — a total of 7 globally-recognised vendor credentials across the two-year program. Estimated total cost: $700–$2,500 per student (₹58K–₹2.1L) depending on Advanced vs Regular track choice. Industry-sponsored voucher partnerships with AWS, Microsoft, Databricks, NVIDIA Inception, and Linux Foundation target ≥ 40% subsidy on cohort fees.