GenAI & Agentic AI
LLMs, RAG, LangGraph, CrewAI, multi-agent systems, prompt engineering and production-grade AI adoption.
- AI for productivity
- AI for CXOs and leaders
- Agentic workflow design
Statinfer designs and delivers premium corporate training, white-label LMS programs and hands-on technology academies in Data Science, Machine Learning, GenAI, Agentic AI, DevOps, Cybersecurity and modern software engineering.
Built around labs, projects, case studies, quizzes and post-training LMS access.
From fundamentals to production-grade projects, every cohort moves through a structured path.
Python โ SQL โ ML โ GenAI โ Agents โ Deployment
Statinfer Software Solutions LLP started with a clear goal: bring rigorous Data Science, AI and Big Data training to teams that need practical skills, not generic theory.
To become the most trusted partner for enterprises adopting AI by bridging academic depth with business outcomes.
Deliver flawlessly designed programs that make Data Science, ML, GenAI and Agentic AI immediately useful.
Hands-on, business-first and tool-agnostic, with labs, case studies, capstone projects and guided practice.
Courses are designed by in-house data scientists and technology specialists. The learning model combines live instruction, self-paced modules, practical assignments, LMS access, project support, quizzes, discussion forums and post-training assistance. Programs can also support recruiting, shortlisting and candidate interview workflows when required.
Corporate programs, institutional academies and white-label learning platforms for teams that need measurable upskilling.
LLMs, RAG, LangGraph, CrewAI, multi-agent systems, prompt engineering and production-grade AI adoption.
Python, statistics, machine learning, deep learning, forecasting, risk modeling and model deployment.
SQL, Spark, Big Data, ETL, analytics pipelines and modern reporting foundations.
Linux, Docker, Kubernetes, CI/CD, Terraform, monitoring, SRE and reliable AI operations.
Enterprise and college-level LMS programs with structured modules, practice exercises and learning dashboards.
Curriculum design, bootcamps, demo programs, assessments, hiring support and interview preparation.
A complete technology academy covering analytics, AI, software, cloud, security, DevOps and professional skills.
Practical analytics and business reporting foundations.
From supervised learning to deep learning and model deployment.
Modern AI application development with agent frameworks.
Build, deploy, automate and monitor modern systems.
Cloud fundamentals and scalable architecture patterns.
From network security to SOC and threat hunting.
Communication, interviews, leadership and project ways of working.
Role-based mobile app engineering paths.
Excel, SQL and reporting analytics foundation.
Tableau and Power BI dashboards for business users.
Python, machine learning and deep learning projects.
Projects, interview preparation and optional placement assistance.
Open structured playlists in a new tab and continue learning from Statinferโs YouTube learning ecosystem.
Start with Python fundamentals and build a strong programming foundation for data science and AI.
Open playlist โ PlaylistLearn practical machine learning concepts, algorithms and model-building workflows with examples.
Open playlist โ PlaylistExplore Generative AI, prompt engineering, RAG, LLM applications and practical AI workflows.
Open playlist โ PlaylistMove into LangGraph, AI agents, planning, tool use and multi-agent AI application patterns.
Open playlist โ PlaylistUnderstand transformer architecture, attention mechanisms and the foundations behind modern LLMs.
Open playlist โ PlaylistBuild a strong deep learning foundation with neural networks, model training and practical workflows.
Open playlist โ PlaylistLearn dashboards, reports, DAX, Power Query and business intelligence storytelling with Power BI.
Open playlist โ PlaylistCreate interactive visual dashboards and data stories using Tableau for business analytics.
Open playlist โTraining experience across banking, analytics, consulting, technology, product and enterprise teams.
| Company | Batches | Participants |
|---|---|---|
| Bank of America: Hyderabad, Chennai, Mumbai, Gurgaon | 25 | 500 |
| Oracle: Bangalore | 50 | 600 |
| IBM: Bangalore and Hyderabad | 45 | 900 |
| HSBC: Bangalore and Kolkata | 10 | 270 |
| Genpact, Tesco, Wells Fargo, Toyota, Loweโs, Wiley, Compuware, Shell | 25 | 400 |
| CTS: Chennai and Bangalore | 4 | 110 |
| HP Inc and HPE: Bangalore | 3 | 90 |
| AIG: Bangalore | 3 | 90 |
| KPMG: Bangalore | 3 | 80 |
| JPMC: Bangalore and Hyderabad | 3 | 70 |
| HCL, Citi Bank, Credit Suisse and ICT Mumbai | 9 | 220 |
A visual gallery of live programs, enterprise cohorts and executive learning sessions.
A leadership group combining data science instruction, enterprise delivery, GenAI strategy, robotics and full-stack AI product experience.
IIT Bombay alumnus, corporate trainer, data scientist and author. 15+ years in Data Science with experience at HP, HSBC and Citigroup. Delivered 10,000+ training hours and trained 8,000+ professionals.
Technology and business leader with 25+ years in enterprise delivery, digital transformation, GenAI strategy, GCC operations and business growth. Ex-Wipro delivery leader across BFSI, Product Engineering, Telecom, Insurance and EdTech.
AI and robotics consultant, GenAI trainer and former Head of Engineering at Machani Robotics. Experience spans agents, RAG, fine-tuning, CV, NLP, robotics, embedded systems and edge/on-prem AI deployment.
Course Development
The curriculum team creates and refines Python, ML, GenAI, Agentic AI, platform engineering, cybersecurity and professional skills modules. Every course is structured for industry-aligned learning with examples, exercises and projects.
The experience is designed around hands-on learning, real case studies and post-training reinforcement.
Map business teams, learner profiles and expected outcomes before designing the cohort.
Run online or offline training with practical examples, labs, quizzes and assignments.
Use business cases across analytics, risk, forecasting, NLP, GenAI and deployment.
Participants can continue learning through self-paced modules, forums and reference material.
โWell-paced training ideal for professionals with work experience. The content was tailor made for the mix of individuals that attended the training.โ
Paromita Sen ยท Data Science Team Manager, HPโThe training style holds attention from beginning till the end, with hands-on sessions that help learners replicate the work easily in their current roles.โ
Corporate training feedbackReach out for corporate training, curriculum design, LMS access, hiring support, college programs and tailored learning roadmaps.