Generative AI Course in Hyderabad
Hyderabad’s AI hiring is driven disproportionately by hyperscaler engineering and global capability centres around HITEC City and Gachibowli. A large share of the work sits close to the infrastructure layer — the platforms, data pipelines and serving systems that other teams build models on — rather than at the application end. That gives the local market a platform-engineering character that a product-startup city does not share.
How it works
There is no separate Hyderabad batch and no Hyderabad classroom. Classes are live and instructor-led, delivered online from Bangalore to one national cohort — so you join the next intake rather than waiting for a local batch to fill.
AI hiring in Hyderabad
Because so much of the engineering base sits inside global capability centres of international firms, AI work here often means operating and scaling an existing ML platform rather than building one from scratch. Familiarity with deployment, monitoring and cost control for models in production carries further in Hyderabad interviews than notebook-stage experimentation.
Engineering presence
- Microsoft
- Amazon
- Salesforce
- Qualcomm
- ServiceNow
- Deloitte
Roles advertised locally
- Machine Learning Engineer
- MLOps Engineer
- AI Platform Engineer
- Data Scientist
What AI work looks like in Hyderabad
Hyderabad’s AI work sits closer to the infrastructure layer than most cities’. The hyperscaler and GCC presence means a large share of local roles concern the platforms other teams build models on — training and serving infrastructure, feature and data pipelines, model deployment tooling, GPU capacity and cost management. The model itself is frequently someone else’s output; making it run reliably and affordably at scale is the job.
This gives local hiring an MLOps centre of gravity. Postings ask about serving latency, model versioning, rollout and rollback of a model change, drift monitoring and what happens when a deployed model degrades. Notebook-stage experimentation transfers poorly here; production operation transfers extremely well.
As in the city’s DevOps market, much of the platform already exists and was designed elsewhere. Engineers who like depth in a large, well-instrumented system do well. Those who want to choose the stack usually find that decision was made before they arrived.
Getting hired in Hyderabad
MLOps depth over model novelty
Deployment, monitoring, versioning and cost control for models in production are the local currency. Experience keeping a model healthy after launch outweighs having trained a more interesting one.
Expect platform, not greenfield
Most Hyderabad AI roles extend an existing ML platform. Show you can work within established tooling and improve it rather than only building from scratch.
Scale and cost awareness
Serving infrastructure and GPU spend are real constraints in hyperscaler and GCC environments. Being able to reason about inference cost and capacity is a genuine differentiator here.
These are widely known engineering locations rather than hiring partners — naming them describes the local market, and is not a claim that any of them recruits Skillfyme graduates.
What the programme covers
The curriculum is identical for every learner regardless of city. It runs four months in the weekday batch or six months in the weekend batch, both covering the same material in live sessions.
Python and statistics
Taught from first principles — no prior ML needed.
Machine learning foundations
The models everything downstream is built on.
Deep learning
Neural networks and the training loop in practice.
NLP and transformers
Tokenisation, embeddings and attention.
LLMs and prompting
Structured output, tool calling and fine-tuning.
RAG and vector databases
FAISS, Pinecone and Weaviate, grounded on real data.
Agentic AI
LangGraph, CrewAI and Autogen; multi-agent systems.
MLOps and deployment
Evaluation, cost control, shipping and monitoring.
The full module-by-module syllabus, batch dates and fee breakdown are on the Generative AI with ML Masters Program page. If you are still comparing providers, our guide to choosing an agentic AI course in India sets out what to check before paying.
Your certificate
Issued jointly with Vishlesan i-Hub, IIT Patna on completion of the programme and its project work — the same credential for every learner in the cohort, wherever they attend from.
Attending from Hyderabad
The live cohort runs on IST, the same clock Hyderabad works to, so there is no time difference to manage. Learners in global capability centres on overlapping shifts typically choose the weekend batch.
Generative AI course in Hyderabad: frequently asked questions
Is there a generative AI batch in Hyderabad?
Not a separate one. Skillfyme runs a single live online cohort delivered from Bangalore, and learners in Hyderabad join that same cohort rather than a regional batch. There is no Hyderabad classroom and no city-specific start date, which also means there is no local batch to wait for — you join the next national cohort. Classes are live and instructor-led, not pre-recorded, so you can ask questions in real time regardless of where you are.
What does the AI job market in Hyderabad look like?
Because so much of the engineering base sits inside global capability centres of international firms, AI work here often means operating and scaling an existing ML platform rather than building one from scratch. Familiarity with deployment, monitoring and cost control for models in production carries further in Hyderabad interviews than notebook-stage experimentation. Companies with significant engineering operations in Hyderabad include Microsoft, Amazon, Salesforce, Qualcomm and ServiceNow. The role titles you will most often see advertised locally are Machine Learning Engineer, MLOps Engineer, AI Platform Engineer and Data Scientist. This is a description of the local market, not a statement that any named company recruits Skillfyme graduates.
When do classes run for someone working in Hyderabad?
The live cohort runs on IST, the same clock Hyderabad works to, so there is no time difference to manage. Learners in global capability centres on overlapping shifts typically choose the weekend batch. The weekday batch runs for four months and the weekend batch for six, with both covering the identical curriculum — the weekend track spreads the same content over a longer period for working professionals. Sessions are recorded, so a missed class can be caught up.
What does the generative AI training in Hyderabad cover, and how do the classes work?
The generative AI training starts with Python, statistics and machine-learning foundations, then covers large language models, prompt engineering, retrieval-augmented generation (RAG), fine-tuning, agentic AI with LangChain, LangGraph, CrewAI and AutoGen, and MLOps for deploying what you build. Generative AI classes for learners in Hyderabad are live and online: an instructor teaches each session in real time, you build in hands-on labs, and sessions are recorded for catch-up. The projects — an enterprise RAG chatbot and a multi-agent system — are the kind of work Machine Learning Engineer and MLOps Engineer roles in Hyderabad are hired on. There is no Hyderabad classroom; the same live online classes are attended from every city.
What does the programme cost?
The programme fee is Rs 68,000, currently offered at Rs 50,000, payable in twelve monthly instalments of about Rs 4,167. Pricing is the same wherever you join from — there is no city-specific fee.
What do I need to know before joining?
No prior machine learning experience is required. Python, statistics and machine learning basics are taught in class from first principles, so beginners can start from scratch while experienced engineers treat them as a refresher. The programme suits software engineers, data professionals, analysts moving into AI, and final-year engineering students targeting an AI role.
Does the programme cover agentic AI?
Yes. After the generative AI, large language model and retrieval-augmented generation modules, the curriculum covers agentic AI and multi-agent systems hands-on with LangChain, LangGraph, CrewAI and Autogen, building agents against vector databases such as FAISS, Pinecone and Weaviate. It then continues through MLOps, LLMOps and deployment rather than ending at a demo.
Who issues the certificate?
Certification is issued jointly with Vishlesan i-Hub, IIT Patna — the Technology Innovation Hub at IIT Patna, established under the National Mission on Interdisciplinary Cyber-Physical Systems. It is a professional certification rather than an academic degree: it is not an MS or MSc in generative AI and carries no UGC recognition or academic credit.
What placement support is included?
Placement support covers interview preparation and resume reviews. It is described as support rather than a guarantee, and there is no percentage claim attached to it. Support is the same regardless of which city you join from.