Build GenAI and agentic AI capability your teams can ship.
Hands-on corporate programmes in Generative AI, Agentic AI and NVIDIA GPU-accelerated AI, grounded in the data engineering that makes AI work. Built around your stack and led by practitioners.
Constellation
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Everything your programme needs, in one connected place. Live sessions, L1–L6 level journeys, assessments, Constellation Labs, capstones and verifiable certificates for every GenAI, Agentic AI and NVIDIA programme.
New: Practice Terminal (a real Linux terminal in your browser, opened from 40 Linux and DevOps lessons) and Code Playground (Python, JavaScript, Java, C, C++, Go and Bash, auto-graded challenges). Every course has at least one hands-on lab: 78 labs in all.
Book a free 7-day corporate pilot
Give your staff pilot logins to a short Linux and cloud starter course on Constellation, with a real browser terminal, Run code and an HR progress view.
Start with these AI programmes
Our recommended starting points for teams building AI capability.
RAG Engineering: Retrieval-Augmented Generation in Production
Design, build and evaluate RAG systems that answer reliably from your own documents, with citations and access control.
Generative & Agentic AI for Leaders
A non-technical programme for executives and managers: what GenAI and agents can do, how to pick use cases, and how to govern risk.
Agentic AIBuilding AI Agents with LangGraph & CrewAI
Build tool-using agents and agent teams with two popular open-source frameworks, and learn when to use each.
Multi-Agent Systems: Design & Orchestration
Design systems where several specialised agents collaborate: orchestration patterns, communication, evaluation and governance.
GPU Programming with CUDA
Learn to write and optimise GPU code with CUDA, NVIDIA's parallel computing platform, in C++ and Python.
Building and Serving LLM Apps with NVIDIA NIM & NeMo
Deploy models as NVIDIA NIM inference microservices and customise, evaluate and guard them with NeMo tools.
Training that changes how teams work
Not slide decks. Programmes designed around the work your engineers will actually do next quarter.
Mapped to your stack
Every programme starts with a needs assessment, and labs use the tools and cloud your teams run in production.
Hands-on, every module
Participants build, break and fix real AI apps and pipelines. Each module ends with something they made.
Practitioner trainers
Led by founder Karthick Selvam, a data engineering corporate trainer, with a vetted network of freelance specialists.
Measured outcomes
Pre/post assessments, lab completion and capstone reviews, reported back to your L&D team.
Generative AI programmes
Generative AI for Data Teams
LLM fundamentals, prompt design, retrieval-augmented generation and responsible use of GenAI on enterprise data.
AI Assistants at Work
Practical, safe use of LLM-based AI assistants for drafting, summarising, analysis and everyday productivity.
AI Assistants for Power Users (Advanced)
Go beyond basics: structured prompting, document workflows, custom instructions, tool integrations and team guidelines.
Generative AI Fundamentals
How large language models work, what they can and cannot do, and how to apply them responsibly in business.
LLMOps: Deploying LLM Applications
Take LLM applications to production: serving, evaluation, observability, cost control and security.
Generative AILLM Fine-Tuning: LoRA, QLoRA & Evaluation
Adapt open-weight language models to your tasks with supervised fine-tuning and parameter-efficient methods, then prove the improvement.
Prompt Engineering for Teams
Practical prompt design, structured outputs and verification habits for professionals and developers using LLMs daily.
Agentic AI programmes
Agentic AIAgentic AI with LangChain & LangGraph
Build tool-using agents and stateful workflows with LangChain and LangGraph, with evaluation and guardrails.
Agentic AI for Business Process Automation
Identify, design and pilot agent-driven automations for operations, support and back-office processes, safely.
NVIDIA GPU & accelerated AI programmes
Accelerated Data Science with NVIDIA RAPIDS
Speed up pandas, scikit-learn-style ML and Spark workloads on GPUs with the open-source RAPIDS libraries.
Agentic AI on the NVIDIA Stack
Build and profile AI agents using NVIDIA NIM models and the open-source NeMo Agent toolkit alongside frameworks such as LangGraph.
Inference Optimisation with TensorRT & TensorRT-LLM
Make models faster and cheaper to serve: TensorRT for deep learning inference and TensorRT-LLM for large language models.
Model Serving with NVIDIA Triton Inference Server
Serve models from multiple frameworks at scale with Triton: model repositories, dynamic batching, ensembles and monitoring.
GPU Infrastructure & DGX Fundamentals
Understand and operate AI infrastructure: GPUs, DGX systems, networking, scheduling and monitoring for AI workloads.
Pick a role. Follow the path.
GenAI Engineer
Prompt engineering → RAG engineering → LLM fine-tuning → LLMOps
Agentic AI Developer
GenAI fundamentals → AI agents with LangGraph & CrewAI → Multi-agent systems
GPU / AI Inference Engineer
CUDA → TensorRT & TensorRT-LLM → Triton → NIM & NeMo
AI Leader
GenAI & agentic AI for leaders → AI transformation programme
Data, cloud and engineering foundations
AI runs on good data and solid engineering. Explore our wider catalogue.
Capability for every AI and data role
Data Engineering Capability
Build in-house teams that can design, build and run reliable data pipelines and platforms.
Cloud Data Platforms
Upskill teams on Azure, AWS and Google Cloud data services aligned to your actual platform choices.
Analytics & BI
Help business and reporting teams turn data into decisions with SQL, Power BI and sound modelling.
AI, GenAI & MLOps
Move teams from AI curiosity to practical, governed use cases built on good data foundations.
DevOps for Data Platforms
Bring engineering discipline (version control, CI/CD, IaC) to your data teams.
Fresher & Lateral Induction
Structured induction programmes that turn new hires into project-ready data and cloud engineers.
Data Quality & Testing
Teach teams to test pipelines, validate data and automate quality checks across the platform.
Enterprise Data Platforms
Upskill teams on the warehouse, lakehouse and CRM platforms your business runs on.
From discovery to measurable capability
Discover
We assess current skills and agree on target roles and outcomes.
Design
Curriculum, labs and capstone mapped to your stack and timelines.
Deliver
Live virtual or on-site sessions with hands-on labs and support.
Measure
Assessments and a final report so you can see the progress.
Batches starting soon
The next open batches for our Generative AI, Agentic AI and NVIDIA programmes.
| Programme | Starts | Mode | Schedule | Duration | |
|---|---|---|---|---|---|
| Generative AI for Data Teams | Wed, 18 Nov 2026 | Bengaluru classroom | Weekday | 3 days | Enquire |
| Generative AI Fundamentals | Sat, 21 Nov 2026 | Online live | Weekend (Sat) | 4 Saturdays | Enquire |
| Multi-Agent Systems: Design & Orchestration | Sat, 21 Nov 2026 | Online live | Weekend (Sat) | 5 Saturdays | Enquire |
| GPU Infrastructure & DGX Fundamentals | Sat, 21 Nov 2026 | Online live | Weekend (Sat) | 4 Saturdays | Enquire |
| Accelerated Data Science with NVIDIA RAPIDS | Mon, 23 Nov 2026 | Online live | Weekday | 3 days | Enquire |
| LLM Fine-Tuning: LoRA, QLoRA & Evaluation | Wed, 25 Nov 2026 | Online live | Weekday | 4 days | Enquire |
Organisations we have trained
What our clients say
Placeholder slots. Replace them with genuine, permission-cleared feedback.
Get a free taste before you commit
Join an upcoming webinar or request a 45-minute discovery session for your team.
Frequently asked questions
Do you train individuals or only companies?
Our focus is corporate training for teams. Individual professionals can join open batches when they are announced on the Training Calendar.
Can the curriculum be customised to our tech stack?
Yes. Every corporate engagement starts with a needs assessment, and modules, labs and capstones are mapped to the tools and cloud your teams actually use.
What delivery formats do you offer?
Live virtual instructor-led training, on-site training at your office in Bengaluru or other Indian cities, and blended formats.
Who delivers the sessions?
Sessions are led by founder Karthick Selvam, a data engineering corporate trainer, and by vetted practitioner trainers from our freelance trainer network.
How do you measure outcomes?
We agree on success measures upfront, typically pre/post assessments, lab completion and capstone evaluation, and share a report with your L&D team.
How do I get a quote?
Share your requirement via the enquiry form. We will respond with a proposal; pricing depends on scope, format and batch size.
Learn the concepts
What Is CUDA?
CUDA is NVIDIA's parallel computing platform and programming model for running general-purpose code on NVIDIA GPUs.
What Is NVIDIA RAPIDS?
RAPIDS is a suite of open-source libraries from NVIDIA for GPU-accelerated data science and analytics.
What Are NVIDIA NIM and NeMo?
NIM and NeMo are parts of NVIDIA's software stack for generative AI: NIM for serving models, NeMo for building and customising them.
Ready to build data capability in your teams?
Tell us where your teams are today and where they need to be. We will propose a programme that fits.
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