Learn Artificial Intelligence in Mysore with a practical focus on agentic AI, generative AI, LangChain, OpenAI API, Hugging Face, vector databases, Pinecone, LangGraph, AutoGen, and CrewAI. You will build working agents, structured workflows, and deployable AI projects with real tools used in training.
14,200+ (Placed)
Freshers to IT
7,100+ (Placed)
Non-IT to Tech
5,800+ (Placed)
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6,400+ (Placed)
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24,999₹
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Learning Artificial Intelligence is only useful when it leads to real work. Inventateq trains you with project practice, role-based guidance, and interview preparation so you can apply for AI, data, and analytics roles with confidence in Mysore and beyond.
AI roles in Mysore are often hired by training-driven companies, product teams, analytics teams, and support teams building automation and chatbot solutions. Salary usually rises as you move from project execution to workflow design, deployment, and multi-agent system ownership.
Artificial Intelligence Average Salary by Experience
AI roles in Mysore are often hired by training-driven companies, product teams, analytics teams, and support teams building automation and chatbot solutions. Salary usually rises as you move from project execution to workflow design, deployment, and multi-agent system ownership.
Artificial Intelligence Average Salary by Experience
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Inventateq teaches Artificial Intelligence with a practical sequence that starts from agent basics and moves into prompting, tools, memory, planning, multi-agent systems, guardrails, evaluation, and deployment. The course uses real platforms and libraries like OpenAI, LangChain, LangGraph, AutoGen, CrewAI, Pinecone, Hugging Face, FastAPI, Docker, Render, and AWS so learners understand how AI systems are actually built.
We stand apart through our commitment to:
Live online training is available for learners in Mysore who prefer to study from home or need a flexible schedule. The sessions stay interactive and practical, with guided demonstrations, assignments, and project support throughout the course.
If you are starting from scratch and want a structured path into Artificial Intelligence, this course gives you the basics and the project practice.
Good for learners already working with data who want to move into AI agents, LLM workflows, and deployment.
Useful for developers, analysts, and engineers who want hands-on exposure to OpenAI, LangChain, and LangGraph.
Suitable for non-AI professionals who want job-oriented training with guided projects and placement support.
Helpful for graduates who want certification, practical tools, and a portfolio for AI-related interviews.
Mode: Offline classroom and live online options
Structure: Theory, practicals, assignments, and certification
Learning path: Week-wise modules from agents to deployment
Support: Mentor guidance during project work and revision
No prior AI experience is required to begin this course.
Rated 4.9/5
Inventateq keeps the training practical and job-focused. You work through the actual syllabus in a structured way, so each topic leads into the next and ends in something you can explain, demo, or deploy.
By the end of this course, learners can work with agent workflows, prompt design, memory systems, and deployment steps. The projects give you practice with the tools that employers expect in AI and analytics work.
You learn to design agents that can reason, use tools, and complete tasks. The course covers research agents, data analyst agents, and multi-agent workflows.
You do more than notebooks and demos. The syllabus includes deployment, FastAPI wrappers, Docker, and cloud rollout so you understand how to ship an AI service.
You practice planning, memory, guardrails, and approval steps. This is the part that turns a simple chatbot into a usable AI system.
Training includes LangChain, LangGraph, AutoGen, and CrewAI. You learn how these tools support chains, graphs, and multi-agent coordination.
You learn OpenAI API, Hugging Face API, Pinecone, vector databases, and observability tools. These are important for building reliable AI applications.
The course includes project explanation, resume preparation, and role guidance. That helps you present your work clearly for AI and data roles.
This certification shows that you completed practical training in agentic AI, generative AI, frameworks, deployment, and project work. It helps employers see that you have worked with the tools and concepts used in real AI applications.
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 starts with the basics of agents, LLMs, and prompt design before moving into advanced workflows. Beginners can follow the sequence if they attend regularly and practice the assignments. The mentor support also helps with difficult topics.
Yes. The syllabus includes a research agent, a data analyst agent, and a medical chatbot project. You also practice deployment, vector databases, and multi-agent workflows. The course is built around practical implementation, not only theory.
Yes, placement support is part of the training approach. You get help with resume preparation, mock interviews, project presentation, and career guidance. The support is aligned to roles like AI Developer, Data Analyst, and Business Analyst. It is designed to help you present your skills clearly.
Yes, non-technical learners can join if they are ready to learn step by step. The course begins with fundamentals and gradually adds tools, frameworks, and deployment topics. The practical style helps students from different backgrounds understand how AI systems are built. Mentors guide learners through the concepts and projects.
Yes, live online training is available. It follows the same syllabus and practical approach as classroom training. You can attend from Mysore and still learn with mentor interaction, assignments, and project support. This is useful if you want flexibility.
The syllabus is organized week by week and also includes a generative AI project track with buffer time. The exact duration can vary by batch mode and learning pace. The important part is that the course is structured in modules so you can build skills in order. This makes it easier to complete the practical work properly.
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