Learn Artificial Intelligence in Indore with a practical focus on agentic AI, generative AI, LangChain, LangGraph, OpenAI API, Hugging Face, Pinecone, and FastAPI. You will build structured agents, memory-based workflows, multi-agent systems, and deployable AI projects that match real job requirements.
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₹
In 60 Days + Placement
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Learning Artificial Intelligence is only part of the goal. In Indore, students also need clear support to move from course work into roles like Data Analyst, Business Analyst, AI Engineer, and Analytics Consultant. Inventateq keeps the focus on practical projects, interview readiness, and job search support.
AI, data, and analytics roles in Indore are commonly hired by IT services, product support teams, consulting firms, and business intelligence teams. Pay grows with hands-on project skill, deployment experience, and the ability to work with Python-based AI tools and vector databases.
Artificial Intelligence Average Salary by Experience
AI, data, and analytics roles in Indore are commonly hired by IT services, product support teams, consulting firms, and business intelligence teams. Pay grows with hands-on project skill, deployment experience, and the ability to work with Python-based AI tools and vector databases.
Artificial Intelligence Average Salary by Experience
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Inventateq teaches Artificial Intelligence in Indore with a strong project-first approach. The syllabus moves from agent basics and prompt engineering to tools, memory, multi-agent systems, observability, deployment, and live project work, so learners get a full working picture instead of isolated theory.
We stand apart through our commitment to:
The live online Artificial Intelligence training from Indore follows the same syllabus with interactive sessions, demos, and assignments. Students can join from home, ask questions in real time, and complete the same practical work with mentor support.
Good for learners starting a career in AI, data, or analytics with no prior project experience.
Useful for people in IT, reporting, BI, or support roles who want to move into AI-based work.
Helps analysts learn agents, automation, and AI workflows they can use in business roles.
Fits learners who want to move into data analyst, BI, or AI engineer paths.
Suitable if you want structured training in tools, concepts, and hands-on practice from the basics.
Duration: Structured across multiple weeks of theory and practical sessions.
Mode: Available in classroom and live online formats.
Training style: Trainer-led sessions with assignments and project work.
Pace: Designed for learners who want step-by-step progress from basics to deployment.
You do not need prior AI project experience to start.
Rated 4.9/5
Inventateq focuses on practical learning that follows the way AI projects are actually built. Students move through prompt engineering, tools, memory, frameworks, evaluation, and deployment with clear mentor support at every stage.
Learners work on structured AI workflows, build agents, and practice deployment tasks. The training is designed so students can show what they built, not just say they studied AI.
You learn to create research agents, data analyst agents, and workflow-based assistants using the syllabus tools and methods.
The course covers OpenAI API, LangChain, LangGraph, AutoGen, CrewAI, Pinecone, and deployment tools used in practical projects.
You practice state management, function calling, schemas, vector memory, and external tool integration.
Projects are part of the course flow, including chatbot creation, agent workflows, and deployment tasks.
You learn how to explain your AI work clearly for data, analytics, and AI job interviews.
The training helps you turn course exercises into a portfolio that shows practical capability.
The certification validates that you completed practical training in agentic AI, generative AI, deployment, and related tools. It helps employers see that you have worked on real module-based learning and can discuss the tools used in the course.
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 core concepts like LLMs, agents, autonomy, and the ReAct pattern. It then moves step by step into prompt engineering, tools, memory, and deployment. Beginners can follow the flow if they are willing to practice regularly.
Yes, the syllabus includes hands-on work such as a Research Agent, a Data Analyst Agent, generative AI projects, and chatbot creation. You also get deployment-oriented exercises with FastAPI, Docker, and cloud-style workflows. The goal is to build practical output, not only take notes.
Yes, placement support is part of the learning path. You get help with resume preparation, project presentation, mock interviews, and role guidance for jobs like Data Analyst, Business Analyst, and AI Engineer. The support is focused on making your course work easy to explain in interviews.
Yes, non-technical students can join if they are ready to learn the tools and practice regularly. The course explains the flow from prompt engineering and tool use to deployment in a practical way. The trainer support and guided projects make the learning process easier to follow.
Yes, learners can attend classroom sessions in Indore or join live online sessions. The online format covers the same syllabus and includes interactive teaching, demos, and assignments. This helps working professionals and students who need flexibility.
The course follows a structured multi-week learning path with theory, practice, and project work. It covers the full sequence from agent basics to deployment, so the duration is enough to build real understanding. The exact pace can depend on batch mode and class scheduling.
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