Learn Artificial Intelligence in Pondicherry & Vellore with a practical focus on Agentic AI, Generative AI, LangChain, OpenAI API, Hugging Face, vector databases, Pinecone, and deployment workflows. Build the kind of agent and chatbot projects that use structured prompting, tool calling, memory, and real deployment steps.
14,200+ (Placed)
Freshers to IT
7,100+ (Placed)
Non-IT to Tech
5,800+ (Placed)
Career Gap Fillers
6,400+ (Placed)
Upskilling Success
24,999₹
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Learning Artificial Intelligence is only useful when you can explain your work, show projects, and perform in interviews. Inventateq supports that part with structured placement help for learners in Pondicherry & Vellore, so you move from training to job-ready presentation with confidence.
Companies hiring for AI-related roles in Pondicherry, Vellore, and nearby tech markets look for people who can build with LLMs, automation tools, and data workflows. Compensation usually grows as you move from project execution to system design, deployment, and team leadership.
Artificial Intelligence Average Salary by Experience
Companies hiring for AI-related roles in Pondicherry, Vellore, and nearby tech markets look for people who can build with LLMs, automation tools, and data workflows. Compensation usually grows as you move from project execution to system design, deployment, and team leadership.
Artificial Intelligence Average Salary by Experience
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Inventateq teaches Artificial Intelligence through real modules, not theory-heavy summaries. The syllabus covers Agentic AI, prompt engineering, tools and function calling, memory architectures, LangChain, LangGraph, multi-agent systems, guardrails, observability, and cloud deployment, so learners get a full working picture of how AI systems are built.
We stand apart through our commitment to:
Live online training works well for learners in Pondicherry & Vellore who want the same structured course from home or office. Sessions remain interactive, with practical demos, project guidance, and live support on the syllabus topics from prompt engineering to deployment.
Good for learners starting with Artificial Intelligence and wanting a practical entry into AI tools and projects.
Useful for analysts, developers, and IT professionals who want to add agentic AI and generative AI skills.
Helps people who work with reporting, automation, and decision-making workflows move into AI-enabled roles.
Fits learners aiming to connect data work with AI, chatbots, and workflow automation.
Suitable for motivated learners who want a structured path into AI, prompt engineering, and project building.
Duration: Structured across weekly modules with project work and buffer time.
Mode: Offline classroom and live online options available.
Learning style: Trainer-led sessions with hands-on practice.
Support: Doubt clearing and guided project work included.
No prior AI experience is needed to begin this course.
Rated 4.9/5
Inventateq focuses on practical AI training that you can use in projects and interviews. The course is built around real topics like agent design, prompt engineering, function calling, memory, frameworks, deployment, and chatbot development, so the learning stays connected to actual work.
By the end of this course, learners work on agentic AI tasks, generative AI workflows, and deployment-oriented projects. The goal is to help you understand the full process from prompt design to building and presenting a working AI solution.
You learn how to create agents that can reason, act, call tools, and manage tasks. The course uses the ReAct pattern, planning workflows, and multi-agent structures so you can build more than simple prompts.
The syllabus includes generative AI project work and an end-to-end medical chatbot build. You get experience in structuring the flow, using memory, and preparing the application for deployment.
You work with OpenAI API, LangChain, Hugging Face, Pinecone, LangGraph, AutoGen, and CrewAI concepts. That helps you explain practical AI stacks in interviews instead of only describing theory.
The course includes a data analyst agent that reads CSV files, writes Python code, and produces visualizations. This gives you hands-on exposure to code-as-action and practical automation.
You learn how to package, stream, scale, and deploy AI services using FastAPI, Docker, and cloud platforms. That makes the training useful for teams that need real delivery, not just prototypes.
You also learn how to talk about memory, guardrails, evaluation, and observability. That helps you present your work as a complete system during interviews and portfolio reviews.
This certification validates that you have completed structured training in agentic AI, generative AI, and deployment-oriented workflows. It helps employers see that you have worked with the tools and concepts used in practical AI development.
Earn this certificate upon successful completion of our training program.
Validate your skills with recognized industry credentials.
Earn this certificate upon successful completion of our training program.
Validate your skills with recognized industry credentials.
Yes, the course is suitable for learners who are new to AI as long as they are ready to follow a structured training path. It starts with the evolution from NLP to LLMs, chatbots, and agents before moving into deeper topics. The trainer-led format helps beginners understand each step clearly.
Yes, the syllabus includes hands-on work such as a research agent, a data analyst agent, and an end-to-end medical chatbot. You also work on deployment and tooling concepts like function calling, memory, and FastAPI-based service delivery. The course is built around practice, not only slides.
Yes, placement support is part of the course flow. You get resume help, mock interviews, portfolio guidance, and role-based mentoring for AI and analyst jobs. The aim is to help you present your projects and tools in a way employers can understand.
Yes, non-technical learners can join if they are willing to learn step by step. The course explains concepts like prompting, memory, tools, and workflows in a practical way. Some comfort with computers and logical thinking will help, but you do not need prior AI experience to start.
Yes, live online training is available for learners from Pondicherry & Vellore. The online sessions cover the same course modules and include trainer interaction, project guidance, and doubt clearing. It is a good option if you want flexibility without losing structure.
The course is organized across weekly modules and includes project time and buffer time for completion. That gives enough room to cover the theory, practical exercises, and deployment steps without rushing the learning process. Exact batch timing can vary based on the mode you choose.
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