Live Online Training by a Google Certified AI Trainer · Python → GenAI → MLOps · Small Batches of 10 · Amazon, Microsoft & HITEC City Focused · Placement Support
Shifttotech Academy · Artificial Intelligence Course in Hyderabad · Trainer: Google Certified · Hands-on experience building & deploying real AI models · Live Online · Weekend & Weekday Batches
Hyderabad — home to Cyberabad and HITEC City — is India's second largest AI job market in 2026. With 12,500+ active AI openings and the highest concentration of FAANG GCCs outside Bangalore, Hyderabad offers AI professionals some of the most stable, globally-benchmarked, and well-paying tech jobs in India.
What makes Hyderabad uniquely powerful is the Amazon-Microsoft-Google trifecta in HITEC City — three of the world's most valuable AI companies, all with major engineering presence in a single corridor. Combined with India's only pharma-tech AI cluster in Genome Valley, Hyderabad offers AI career paths that simply don't exist in other Indian cities.

Pharma AI (Genome Valley): Dr. Reddy's Labs, Divi's, Bharat Biotech building AI for drug discovery — ₹12–25 LPA, virtually no competition.
Amazon's Largest India Campus: Amazon's biggest India office is in HITEC City — thousands of ML/data roles hiring year-round.
GCC Concentration: Wells Fargo, Goldman Sachs, Bank of America, JP Morgan — global banking AI teams based here.
India's second-highest AI salary city — based on Glassdoor (February 2026)
| Role / Experience | Salary Range |
|---|---|
| Entry-Level AI Engineer (0–2 yrs) | ₹6 – 9 LPA |
| Machine Learning Engineer (3–5 yrs) | ₹10 – 18 LPA |
| Senior ML / AI Engineer (5–8 yrs) | ₹18 – 28 LPA |
| GenAI / LLM Engineer (any level) | ₹14 – 35 LPA |
| MLOps / AI Platform Engineer (3–6 yrs) | ₹12 – 22 LPA |
| AI Architect / Principal (8+ yrs) | ₹30 – 50+ LPA |
Moving from ₹7 LPA (developer at Cyberabad IT services firm) to ₹13 LPA (ML engineer at GCC) = ₹50,000/month extra. Course fee recovered in under 5 weeks of the salary difference.
12,500+ active openings — the highest GCC concentration in India after Bangalore
Amazon India (Largest Campus), Microsoft Hyderabad, Google Hyderabad, Apple GCC, Facebook/Meta Hyderabad, Qualcomm India
Wells Fargo GCC, Bank of America GCC, Deloitte GCC, JP Morgan GCC, Nvidia India, DXC Technology
Goldman Sachs Hyderabad, Amazon AWS GCC, EY GCC, Capgemini, IBM India, Accenture
Infosys, Wipro, TCS, HCL, Tech Mahindra, Cognizant (all major campuses)
Dr. Reddy's Labs AI, Divi's Laboratories, Bharat Biotech Tech, Aurobindo Pharma IT, Shantha Biotech
T-Hub portfolio companies, WE Hub startups, AI-first SaaS companies, Hyd tech startups
Commuting from Kondapur or Gachibowli to a training institute after office hours in HITEC City traffic can cost you 2+ hours daily.
| Route | Weekly Hours Lost |
|---|---|
| Uppal → HITEC City | 10–15 hrs |
| Kompally → Gachibowli | 10–13 hrs |
| LB Nagar → Financial District | 8–12 hrs |
| Miyapur → Madhapur | 5–8 hrs |
| Online Training (from home) | 0 hrs wasted |
14–16 weeks covering what Amazon, Microsoft, Goldman Sachs GCC, and Genome Valley pharma companies actually evaluate
Python for data science — NumPy, Pandas, Matplotlib, Seaborn, Scipy. Essential math: linear algebra, probability, statistics, hypothesis testing. Data cleaning, feature engineering, EDA. SQL for data analysis — window functions, CTEs. Git for ML project collaboration. Introduction to cloud environments (AWS basics relevant to Hyderabad's GCC interviews).
Supervised learning: Linear/Logistic Regression, Decision Trees, Random Forest, XGBoost, LightGBM, SVM, KNN. Unsupervised: K-Means, DBSCAN, PCA, t-SNE. Model evaluation: ROC-AUC, cross-validation, bias-variance. Hyperparameter tuning with Optuna. End-to-end ML project with FastAPI deployment. Kaggle workflow. Financial ML use cases (relevant to Hyderabad's banking GCC sector).
Neural networks from scratch — backpropagation, activation functions. CNN architectures: ResNet, EfficientNet for image tasks; YOLO v8 for object detection. RNN/LSTM for time-series and sequential data. Transformer architecture in depth — BERT, GPT, T5. HuggingFace ecosystem for NLP tasks. Transfer learning and fine-tuning. Life sciences NLP applications (drug discovery text mining — relevant to Genome Valley sector).
LLM architectures: GPT-5, Claude, Gemini, Llama, Mistral. Fine-tuning: LoRA, QLoRA, PEFT. Agentic AI with LangGraph and CrewAI. Retrieval-Augmented Generation (RAG): chunking, embeddings, vector databases (Pinecone, FAISS, ChromaDB). LangChain and LlamaIndex for production apps. Prompt engineering mastery. MLOps: MLflow, DVC, AWS SageMaker, Docker, Kubernetes, Kubeflow. CI/CD for ML. Model monitoring with Prometheus and Grafana. 4 capstone projects + mock interview sessions.
Software developers at IT services firms in Cyberabad
Transition into AI at GCCs — 50–80% salary increase
Data analysts at GCCs (Goldman Sachs, Wells Fargo)
Upgrade to production ML — move from Excel to real models
DevOps engineers in HITEC City
Add MLOps skills — Amazon AWS GCC is the top employer
Freshers from IIIT-H, BITS, Osmania
Build projects that get you hired at Amazon, Microsoft, or funded startups
Pharma IT professionals at Genome Valley companies
Combine domain expertise with AI for ₹15–25 LPA drug discovery ML roles
Working professionals across all zones
Live online sessions — no HITEC City traffic sacrifice required
Data preprocessing, model training support, Python pipelines. Typical employers: TCS, Infosys, Wipro Hyderabad campuses in Cyberabad.
Production ML development, cloud deployments, NLP or CV specialisation. Typical employers: Virtusa, DXC Technology, Wells Fargo GCC, Amazon GCC.
LLM fine-tuning, RAG systems, ML platform ownership. Typical employers: Amazon India HQ, Microsoft Hyderabad, Goldman Sachs GCC, Nvidia India.
Enterprise AI strategy, multi-model architectures, GCC leadership roles. Amazon, Microsoft, Facebook GCC Hyderabad offer these at the highest compensation levels.
“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 Hyderabad 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 Hyderabad 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 Hyderabad 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 Hyderabad 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 Hyderabad companies actually ask. Freshers from engineering backgrounds typically land ₹6–8 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 Hyderabad 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.
Hyderabad currently has 12,500+ active AI job openings. The average AI/ML engineer here earns ₹10–12 LPA. Typical outcomes after this course: freshers and early-career switchers start at ₹6–8 LPA, engineers with 3+ years of prior experience move into ML/GenAI roles at higher bands, and senior GenAI/MLOps specialists in Hyderabad earn ₹20–35 LPA. Hiring is concentrated around HITEC City, Gachibowli and the Financial District.
Whichever institute you choose, evaluate every artificial intelligence course in Hyderabad 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 Hyderabad (HITEC City, Gachibowli and the Financial District), 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 Hyderabad include placement support?
Yes. This is an AI course in Hyderabad with placement support included at no extra cost — resume building, mock interviews, and direct referrals to companies actively hiring AI talent in Hyderabad. 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 Hyderabad with placement support.
Q: What is the average AI salary in Hyderabad in 2026?
Based on Glassdoor (February 2026), the average AI engineer salary in Hyderabad is ₹10–12 LPA. Entry-level roles start at ₹6–8 LPA. Mid-level ML engineers at GCCs earn ₹12–18 LPA. Senior engineers at Amazon, Microsoft, or Goldman Sachs GCC can earn ₹20–35 LPA. GenAI/LLM specialists command a 40–60% premium at every level.
Q: How many AI jobs are in Hyderabad in 2026?
Hyderabad has 12,500+ active AI openings (February 2026) — India's second largest market. HITEC City and Cyberabad account for 70%+ of openings. The city's massive GCC (Global Capability Centre) concentration means unusually stable, well-paying AI roles from global companies.
Q: What is unique about Hyderabad's AI job market?
Hyderabad has two unique advantages no other Indian city can match: (1) Amazon's largest India campus (HITEC City) with thousands of ML/data science roles, and (2) India's only pharma-tech AI cluster in Genome Valley — Dr. Reddy's Labs, Divi's Laboratories, and Bharat Biotech are building AI platforms for drug discovery and clinical trials. These life sciences AI roles pay ₹12–25 LPA and have virtually no competition from other cities.
Q: Do I need prior coding experience for this course?
No prior AI knowledge is required. The course starts from Python fundamentals. Any programming background (Java, C++, JavaScript) accelerates learning. By Week 4 you'll be comfortable with Python data science libraries; by Week 8 you'll be deploying real ML models with FastAPI.
Q: Is Shifttotech better than large institutes for AI in Hyderabad?
Large platforms (Simplilearn, UpGrad) offer recorded content with 50–200 student batches. Shifttotech offers live sessions with max 10 students per batch — targeted prep for HITEC City GCCs, Amazon interviews, and Hyderabad banking AI roles. The trainer is Google Certified with hands-on experience building and deploying real AI models and LLMs.
Q: I am a DevOps engineer in Cyberabad. Should I do this course?
MLOps is the perfect transition for DevOps engineers in Hyderabad. HITEC City GCCs — especially Amazon AWS, Microsoft Azure, and Google Cloud — actively seek engineers who combine infrastructure skills with ML deployment. MLOps engineers in Hyderabad earn ₹12–22 LPA. Phase 4 of this course is dedicated entirely to MLOps (MLflow, SageMaker, Kubernetes for ML, CI/CD for ML pipelines).
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 Hyderabad 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 Hyderabad 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 Hyderabad?
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 Hyderabad, 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 Hyderabad can open and inspect your actual work.
Q: Can final-year students and recent graduates in Hyderabad 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 Hyderabad — 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 Hyderabad, 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 Hyderabad 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 Hyderabad. You practise explaining your own deployed projects — the exact conversation that decides real AI interviews.
Live online training targeting Amazon/Microsoft in HITEC City, GCCs in Gachibowli, and pharma AI at Genome Valley. Max 10 students per batch.
Next batch starts soon · Max 10 seats · HITEC City, Gachibowli, Kondapur, Financial District & all Hyderabad 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
5+ 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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