Live Online Training · Python → GenAI → E-commerce AI · Small Batches of 10 · Covers Delhi, Noida, Gurgaon, Ghaziabad, Faridabad · Placement Support
Shifttotech Academy · Artificial Intelligence Course in Delhi NCR · Trainer: Google Certified · Hands-on experience building & deploying real AI models · Live Online Training
This is India's National Capital Region and its #2 technology employment hub — hosting over 8,000 active AI job openings across Gurgaon's Cyber City, Noida's IT corridors, Greater Noida's tech parks, and Delhi's consulting and government AI centres. The NCR's AI market is uniquely diversified: not just IT services, but FAANG offices, world-class consulting GCCs (BCG, McKinsey, Accenture), India's entire e-commerce unicorn ecosystem (Flipkart, Amazon, Paytm, Zomato, MakeMyTrip, OYO — all Gurgaon-headquartered), and one of India's strongest public-sector and defence AI programmes.
According to Glassdoor (February 2026), the average Machine Learning Engineer here earns ₹11.5 LPA — 7% above the national average. The right artificial intelligence course in Delhi is your fastest path to these opportunities across Gurgaon, Noida, Greater Noida, Faridabad, and Ghaziabad.

8,000+ active AI openings in NCR · 1,134+ ML jobs in Noida alone · 2,500+ AI jobs in Gurgaon Cyber City · ML Engineer avg salary ₹11.5 LPA (90th percentile: ₹31.2 LPA) · India's densest e-commerce AI employer cluster · 35 NCR-based unicorn startups hiring AI talent.
Every major Indian e-commerce company has its AI headquarters in Gurgaon: Flipkart (1,200+ data & AI team), Amazon India (200,000 sq ft Gurgaon campus — Alexa AI, AWS AI), Paytm (Noida HQ — fraud AI, credit ML), Zomato (Gurgaon HQ — food recommendation AI, ETA prediction), MakeMyTrip (Gurgaon — travel AI), OYO (Gurgaon — hospitality AI). No other Indian city has this concentration of consumer-tech AI demand.
Based on Glassdoor salary data (February 2026), here is Delhi NCR's current AI salary breakdown by role and experience:
| Role / Experience Level | Salary Range |
|---|---|
| Entry Level AI (0–2 years) | ₹7 – 12 LPA |
| ML Engineer — Mid Level (3–5 years) | ₹12 – 20 LPA |
| Senior ML / AI Engineer (5–8 years) | ₹20 – 32 LPA |
| GenAI / LLM Specialist (any level) | ₹16 – 38 LPA |
| MLOps Engineer (3–6 years) | ₹13 – 24 LPA |
| AI Architect / Lead (8+ years) | ₹30 – 50+ LPA |
Moving from ₹9 LPA (IT services Noida) to ₹16 LPA (ML engineer Gurgaon) = ₹58,000/month extra. Course fee (₹35,000) recovered in under 5 weeks of salary difference.
There are 8,000+ active AI openings here spread across six distinct employment zones — each with unique employers, salary levels, and hiring profiles.
Google (Unitech Signature Towers), IBM Research, Accenture, Genpact, Oracle, Dell, Amazon India HQ, MakeMyTrip HQ, Zomato HQ, OYO HQ, BCG, McKinsey
Avg: ₹10–35 LPA
India's highest-density FAANG + consulting AI cluster
HCL Technologies HQ (Sector 126), TCS Noida, Oracle Financial Services, Samsung India Electronics, Logix Techno Park companies
Avg: ₹9–22 LPA
NCR's largest IT services employment zone
Microsoft India Development Centre (240,000 sq ft campus), NIIT Technologies, Paytm Noida HQ, Info Edge (Naukri) HQ, Infocom Network
Avg: ₹12–30 LPA
Microsoft IDC Noida works on Azure AI, GitHub Copilot, Bing AI
Wipro DLF Towers, Deloitte, EY, KPMG, Deutsche Bank India, Times Internet, Adobe India
Avg: ₹10–25 LPA
Analytics, consulting AI, and media tech cluster
Infosys SEZ, Tech parks, HCL SEZ, manufacturing AI firms, IIT Greater Noida research
Avg: ₹8–18 LPA
Growing tech cluster 35 km from Delhi
Indirapuram IT firms, Vaishali tech offices, Faridabad industrial AI, supply chain ML
Avg: ₹7–15 LPA
Industrial AI, logistics, and e-commerce fulfilment tech
FAANG & Global Tech: Google (Gurgaon Unitech Signature Towers II, Sector 30), Microsoft IDC (Noida Sector 142 — third India R&D hub), Amazon India (Gurgaon largest campus, 200,000+ sq ft), Adobe India (Noida), Samsung R&D (Noida Sector 81)
E-commerce & Consumer Tech: Flipkart (Gurgaon, 1,200+ AI/data team), Paytm (Noida HQ — fraud AI, credit ML, payments AI), Zomato (Gurgaon HQ), MakeMyTrip (Gurgaon — dynamic pricing AI), OYO (Gurgaon), Info Edge/Naukri (Noida — HR AI, talent matching)
Consulting GCCs: Accenture AI GCC (Gurgaon DLF Cyber City), IBM Research India (DLF Cyber City), Genpact Analytics (DLF City Phase 5), BCG Gurgaon, McKinsey Gurgaon
IT Services: HCL Technologies HQ (Noida Sector 126 & 136), TCS Noida, Infosys Gurgaon, Wipro DLF Towers, Oracle Financial Services
This region has some of India's worst traffic — a training centre commute from Noida or Ghaziabad to Connaught Place, or from south Delhi to Gurgaon, can consume 3–4 hours on weekday evenings. Our live online training solves this entirely.
| Route | Weekly Hours Wasted |
|---|---|
| Noida Sector 62 → Connaught Place | 10–15 hrs |
| Indirapuram → Gurgaon Cyber City | 15–20 hrs |
| Faridabad → South Delhi | 10–13 hrs |
| Dwarka → Noida Sector 142 | 12–17 hrs |
| Online Training (from home) | 0 hrs wasted |
This 14–18 week program takes you from Python fundamentals through production-ready GenAI, E-commerce AI, and MLOps — covering the exact tools tested by NCR's FAANG offices, consulting GCCs, e-commerce unicorns, and IT service companies.
Python for data science — NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, statistics and probability for ML, linear algebra essentials, data cleaning and preprocessing pipelines, exploratory data analysis (EDA), feature engineering and selection, Git version control for ML projects. Tailored examples from NCR's e-commerce and fintech datasets.
Supervised learning — Linear and Logistic Regression, Decision Trees, Random Forest, XGBoost, SVM, unsupervised learning — K-Means, DBSCAN, PCA, model evaluation and cross-validation, hyperparameter tuning, end-to-end ML project with FastAPI deployment, recommendation system project (Amazon/Flipkart style — highly relevant to Gurgaon e-commerce AI roles).
Neural networks, CNNs for image classification and object detection (YOLO), RNNs, LSTMs, Transformers architecture — BERT, GPT, T5, NLP pipelines — text classification, NER, sentiment analysis, transfer learning and HuggingFace fine-tuning, speech-to-text and text-to-speech AI (relevant for Delhi's consumer tech companies).
Large Language Models — GPT-5, Claude, Gemini, Llama 3, fine-tuning and RLHF, Retrieval-Augmented Generation (RAG) with LangChain and vector databases (Pinecone, FAISS), Agentic AI workflows, E-commerce AI — search ranking ML (Flipkart/Amazon style), demand forecasting, fraud detection models (Paytm/PhonePe use cases), MLOps with MLflow, AWS SageMaker, Docker and Kubernetes for ML deployment, CI/CD for ML (GitHub Actions + DVC).
Software developers at HCL, TCS, Infosys, or Wipro in Noida or Gurgaon who want to transition into AI and increase their salary by 40–80%.
IT professionals in Gurgaon Cyber City or Noida Sector 62 who see AI colleagues getting promoted and want to make the same transition without quitting their current job.
Data analysts at Paytm, Zomato, Amazon, or consulting firms in NCR who want to upgrade from BI dashboards to production ML models and increase their pay by 50%+.
DevOps engineers who want to add MLOps skills and access the highest-paying intersection of AI and infrastructure — a role every FAANG and GCC in NCR is actively hiring for in 2026.
Working professionals anywhere in the NCR — Noida, Gurgaon, Ghaziabad, Faridabad, Delhi — who want to upskill without losing evenings to legendary NCR traffic.
Freshers from Delhi University, NSUT, DTU, GGSIPU, Jamia, or IIT Delhi who want production-grade AI skills and a portfolio to land jobs at Gurgaon/Noida product companies and GCCs.
Government employees and defence personnel near DRDO or NIC who want to understand AI for public-sector digital India projects.
Data preprocessing, model training support, basic ML pipelines. Typical employers: HCL AI Labs, TCS Noida iON, Infosys Nia, Wipro HOLMES AI, mid-tier IT companies in Sector 62.
End-to-end model development, e-commerce ML systems, NLP and recommendation engines. Typical employers: Paytm AI, Amazon Gurgaon, Zomato AI, MakeMyTrip ML, Flipkart Delhi office.
LLM fine-tuning, RAG systems, ML platform ownership, GenAI product development. Typical employers: Microsoft IDC Noida, Google Gurgaon, Accenture AI GCC, BCG Gamma Delhi.
Enterprise AI strategy, multi-model architecture, org-level AI transformation. Top GCCs, FAANG India, NCR-based unicorns (Paytm, Zomato, OYO tech leadership) offer these roles with ESOPs.
The unique career multiplier here is the consulting AI premium — a senior ML engineer who can work in a BCG Gamma or McKinsey QuantumBlack engagement earns ₹35–60 LPA, significantly higher than equivalent product company roles. Shifttotech's business case and ML problem framing modules prepare you specifically for consulting AI interview formats.
| Aspect | Delhi NCR | Mumbai |
|---|---|---|
| Avg AI Salary | ₹11.5 LPA | ₹10–13 LPA |
| Active AI Openings | 8,000+ | 7,000+ |
| E-commerce AI Sector | Strongest in India | Moderate |
| Consulting AI (BCG/McKinsey) | Very Strong | Strong |
| Public Sector / Govt AI | DRDO, ISRO, NIC | Minimal |
| Cost of Living | Medium | Highest |
| IIT / Research Ecosystem | IIT Delhi | IIT Bombay |
“Best investment I made for my career. The AI program curriculum is up-to-date with LLMs and GenAI — not the outdated stuff other institutes teach. Got an offer of ₹12 LPA fresh out of the program at HCL Tech. The small batch size meant I could ask every question.”
“Coming from a non-tech background, I was nervous. The step-by-step AI curriculum and the supportive batch community made it manageable. The trainer's real-project approach built my confidence steadily. Landed a job at Accenture in the AI team — something I could never have imagined a year ago.”
Before choosing any artificial intelligence course, put every institute side by side on the things that actually decide your outcome — fee, batch size, syllabus currency, and what the placement promise says in writing.
| Shifttotech | Simplilearn | GUVI (HCL) | Typical Delhi NCR institute | |
|---|---|---|---|---|
| Course fee | ₹35,000 — published openly | ₹1,40,000 (Applied GenAI program) | EMI-only pricing (~₹11,500/month), full fee not published | ₹40,000–₹1,50,000, often shared only on a callback |
| Batch size | Max 10 students | Large cohorts | Large cohorts | 30–100+ students |
| Format | 100% live online classes | Mix of recorded + live sessions | Recorded lessons + mentor support | Varies; often recorded |
| 2026 GenAI syllabus | GenAI, LLMs, RAG + LangChain, AI agents, fine-tuning, MLOps | Yes — GenAI focused | Yes — AI/ML with GenAI modules | Frequently classical ML only |
| Placement terms | Written terms + money-back job guarantee | JobAssist (no guarantee) | Placement support (qualitative) | Verbal "100% placement" claims |
| Fee transparency | Full fee on the website | Published | EMI figure only | Usually hidden behind a form |
Competitor details taken from their public course pages as of July 2026 — always verify current terms directly.
Our AI course fee is ₹35,000 — stated openly, with EMI options and no hidden charges. For comparison, an artificial intelligence course in Delhi NCR at big-brand bootcamps typically costs ₹80,000 to ₹1,40,000, and many institutes hide the figure behind a "request callback" form. We publish it because fee transparency is the first trust test of any training institute.
The fee includes the full live curriculum (Python → Machine Learning → Deep Learning → GenAI → MLOps), all portfolio projects, interview preparation, and placement support — there is no separate "placement fee".
The course runs 16–20 weeks part-time — roughly 10–15 focused hours a week — so working professionals in Delhi NCR can complete it without quitting their job. Both weekend and weekday evening batches are available, all live online with a maximum of 10 students per batch. Expect to spend the final weeks on your capstone project and interview preparation.
Yes. The course starts with a Python-from-scratch phase, so no prior programming experience is required — commerce graduates, mechanical engineers, testers, and support engineers regularly make this switch. You do not need advanced mathematics either: school-level algebra and logical thinking are enough to begin, and the maths behind ML is taught inside the course exactly where you need it.
For freshers, the biggest hiring barrier in Delhi NCR is not the degree — it is the absence of proof. This course is built around that gap: you graduate with deployed portfolio projects (not just certificates), a GitHub profile interviewers can open, and mock interviews calibrated to what Delhi NCR companies actually ask. Freshers from engineering backgrounds typically land ₹8–12 LPA in their first AI role.
Free courses (government programs like YUVA AI, YouTube playlists, free Coursera audits) are genuinely good for AI literacy — and we recommend starting with them if you are unsure about the field. But hiring managers in Delhi NCR shortlist candidates on deployed projects, live-coding ability, and interview performance — things a self-paced free course cannot give you. The practical path most of our placed students took: use free content to confirm interest, then join a structured, mentored program to become job-ready.
Delhi NCR currently has 8,000+ active AI job openings. The average AI/ML engineer here earns ₹11.5 LPA. Typical outcomes after this course: freshers and early-career switchers start at ₹8–12 LPA, engineers with 3+ years of prior experience move into ML/GenAI roles at higher bands, and senior GenAI/MLOps specialists in Delhi NCR earn ₹30–60 LPA. Hiring is concentrated around Gurgaon Cyber City, Noida, Greater Noida and central Delhi.
Whichever institute you choose, evaluate every artificial intelligence course in Delhi NCR against this checklist:
Our course is built to pass every point on that list — and we encourage you to compare us on it during the free demo class.
This one — and the terms are specific, not vague: resume rebuilding, unlimited mock interviews, and direct referrals to companies hiring AI talent in Delhi NCR (Gurgaon Cyber City, Noida, Greater Noida and central Delhi), included in the fee at no extra cost and backed by our money-back job guarantee. 85% of students who complete the course are placed within 3 months. Ask any institute you compare us with to put their placement terms in writing the way we just did.
Q: Does this AI course in Delhi NCR include placement support?
Yes. This is an AI course in Delhi NCR with placement support included at no extra cost — resume building, mock interviews, and direct referrals to companies actively hiring AI talent in Delhi NCR. It is backed by our 100% money-back job guarantee, and 85% of students who complete the course are placed within 3 months — a complete artificial intelligence course in Delhi with placement support.
Q: What is the average AI salary in Delhi NCR in 2026?
Based on Glassdoor (February 2026), the average ML Engineer salary in Delhi NCR is ₹11.5 LPA (₹7–18.57 LPA range), with the top 10% earning ₹31.2 LPA. AI Engineers average ₹11.75 LPA (₹7–16.5 LPA range). Delhi NCR pays 7% above the national average for AI roles due to FAANG, consulting GCC, and e-commerce premium. GenAI and LLM specialists earn a 40–70% premium at every level.
Q: How many AI jobs are available in Delhi NCR?
Delhi NCR has 8,000+ active AI job openings in 2026. Glassdoor lists 1,134+ ML jobs in Noida alone. Gurgaon Cyber City accounts for 2,500+ openings. Delhi NCR is India's #2 AI hiring hub after Bangalore, driven by FAANG offices, consulting GCCs, NCR-headquartered unicorns (Paytm, Zomato, Flipkart, OYO, MakeMyTrip), and government digital India AI projects.
Q: What makes Delhi NCR unique for AI careers — compared to Bangalore?
This market offers what Bangalore doesn't: India's strongest e-commerce AI ecosystem (Flipkart, Amazon, Paytm, Zomato, MakeMyTrip — all Gurgaon-based), the richest consulting AI cluster (BCG, McKinsey, Accenture GCC in Cyber City), government and defence AI (DRDO, ISRO, NIC), and significantly lower cost of living than Bangalore. Bangalore leads on absolute job volume, but NCR offers salary parity with better purchasing power.
Q: Is the Microsoft IDC in Noida a good career target?
Microsoft opened its third India R&D hub in Noida (Sector 142) — a 240,000 sq ft campus working on Azure AI, Microsoft 365, GitHub Copilot, and Bing AI. It is one of NCR's most prestigious AI employers. Microsoft IDC Noida ML roles pay ₹15–25 LPA for mid-level engineers, and senior AI architects earn ₹30–60 LPA. The IDC also runs an active campus hiring programme for strong AI candidates.
Q: How does Shifttotech's curriculum prepare for Gurgaon e-commerce AI roles?
Shifttotech's Delhi NCR curriculum includes a dedicated E-commerce AI module — search ranking ML (how Flipkart and Amazon rank results), recommendation engine architecture, demand forecasting, fraud detection (Paytm/PhonePe/Razorpay use cases), and real-time data pipeline design for high-volume consumer applications. These are the exact problem types tested in Amazon, Flipkart, Zomato, and Paytm ML engineering interviews.
Q: Can I access this training from Ghaziabad or Faridabad?
Absolutely. Our live online training is accessible from every NCR pin code — Indirapuram (201014), Vaishali (201010), Kaushambi, Raj Nagar Ext., Faridabad NIT (121001), Ballabhgarh (121004), Manesar (122051). You never need to commute to Connaught Place or Gurgaon Cyber City for class. Delhi NCR traffic costs students 2–3 hours daily — our online model saves you 150+ hours per year.
Q: What are the best companies to target after this AI course in Delhi NCR?
For FAANG/premium roles: Google Gurgaon, Microsoft IDC Noida, Amazon Gurgaon (Alexa AI, AWS AI). For e-commerce AI: Flipkart (Gurgaon), Paytm (Noida HQ), Zomato (Gurgaon), MakeMyTrip, OYO. For consulting AI: BCG Gamma, McKinsey QuantumBlack, Accenture AI GCC Gurgaon. For IT services entry: HCL HQ Noida, TCS Noida, Infosys, Wipro, Cognizant. For government/defence AI: NIC Delhi, DRDO research labs, ISRO Bengaluru (remote).
Q: Are EMI or installment options available for the AI course?
Yes. The course fee is ₹35,000 and can be paid in easy installments — the exact EMI plan is shared on the counselling call before you commit. There is no separate placement fee and no hidden charges: the published fee covers the full live curriculum, all projects, and placement support.
Q: Is there a free demo class before enrolling?
Yes. Every learner in Delhi NCR can attend a free live demo class before paying anything. You meet the trainer, experience the actual teaching style, ask questions about your background, and only then decide. We recommend comparing 2–3 institutes' demo classes before choosing any AI course.
Q: What happens if I miss a live class?
Every session is recorded, so you get the recording of any class you miss, and because batches are capped at 10 students, the trainer can catch you up in the next doubt-clearing session. Working professionals in Delhi NCR routinely manage the course alongside demanding jobs this way.
Q: Do I need a powerful laptop for the AI course?
No. Any laptop with 8 GB RAM is enough. All heavy model training runs on cloud notebooks and cloud GPUs (Google Colab / AWS), which is also how real AI teams work — so you learn the industry-standard workflow instead of depending on local hardware.
Q: Will I get a certificate after completing this AI course in Delhi NCR?
Yes — you receive a course completion certificate from Shifttotech Academy. More importantly, you finish with a portfolio of deployed AI projects on GitHub. In interviews at companies in Delhi NCR, that portfolio consistently carries more weight than any certificate, which is why the course is built around it.
Q: What projects will I build during the AI course?
You build four real, deployed projects: an end-to-end machine learning model, an NLP/LLM application with a RAG pipeline, a generative AI application deployed to the cloud, and a capstone of your choice. Each one goes on your GitHub profile so interviewers in Delhi NCR can open and inspect your actual work.
Q: Can final-year students and recent graduates in Delhi NCR join?
Yes. Final-year students and fresh graduates are a large share of every batch. The course starts with Python from scratch, so there is no prerequisite gap, and the project portfolio you build solves the classic fresher problem in Delhi NCR — having a degree but no proof of hands-on AI work.
Q: Can I switch to AI from a non-IT role like testing, support, or sales?
Yes — career switchers from testing, technical support, BPO, sales, and even non-engineering backgrounds complete this course successfully. The curriculum assumes zero prior AI knowledge, builds Python first, and the placement team positions your previous domain experience (finance, operations, customer data) as an asset for AI roles in Delhi NCR, not a liability.
Q: How many students are in each batch — will I get individual attention?
Batches are capped at 10 students. That means the trainer knows your progress personally, reviews your code, and adapts interview preparation to your background — the single biggest practical difference from 100-student webinar-style courses, where individual doubt-solving is impossible.
Q: How does interview preparation work for Delhi NCR companies?
In the final weeks you get mock technical interviews (ML fundamentals, coding, and project deep-dives), resume and LinkedIn rebuilding, and guidance targeted at the companies actually hiring AI talent in Delhi NCR. You practise explaining your own deployed projects — the exact conversation that decides real AI interviews.
Live online training built for Gurgaon & Noida, Noida Sector 62 & 142, Greater Noida, Faridabad, and Delhi. Max 10 students per batch. Weekend and weekday evening batches available. Zero NCR traffic commitment.
Next batch starts soon · Max 10 seats · Live online sessions · Weekday + Weekend batches
Accessible from Gurgaon, Noida, Greater Noida, Faridabad, Ghaziabad, Delhi, Meerut & all NCR areas

Senior AWS DevOps Engineer
TCS (Fortune 500) · 8+ Years Experience
Working DevOps engineer — not a "trainer". Daily hands-on with multi-region AWS infrastructure, 38+ Java microservices, EKS, Terraform, ArgoCD & Prometheus in production. Every concept taught is from real systems.

AI Lead
DeepMind · 5+ Years Experience
4+ years building intelligent systems using Python, TensorFlow, PyTorch and advanced Deep Learning. Specialises in NLP, Computer Vision and Generative AI — passionate about practical, job-ready AI skills.
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