Learn Artificial Intelligence in Bhopal with a practical focus on agentic AI, generative AI, LangChain, LangGraph, OpenAI API, Pinecone, Hugging Face, and FastAPI. Build working workflows, connect tools, manage memory, and deploy AI agents with clear hands-on training.
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
Free Session
Get Job with our Guaranteed Placement Support Program
9 LPA • AI Engineer
9 LPA • AI Engineer
12 LPA • Data Engineer
16 LPA • Data Engineer
4.3 LPA • AI Engineer
8.45 LPA • Computer Vision Engineer
6.3 LPA • AI Engineer
8.2 LPA • AI Engineer
Learning AI is only part of the goal. You also need to present your skills clearly and handle interviews for roles that use agents, automation, and LLM workflows.
AI, analytics, and automation roles in Bhopal typically appear in IT services, product teams, consulting, business intelligence, and operations. Pay grows as you move from building simple workflows to designing deployed AI systems and leading teams.
Artificial Intelligence Average Salary by Experience
AI, analytics, and automation roles in Bhopal typically appear in IT services, product teams, consulting, business intelligence, and operations. Pay grows as you move from building simple workflows to designing deployed AI systems and leading teams.
Artificial Intelligence Average Salary by Experience
4.7/5 Google Rating | 1,432+ Verified Reviews
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4.7 / 5
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Success Result: Our students are competing at global levels. Watch their placement journey here.
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BTM Layout @ Inventateq - -
Genuine Reviews @ Inventateq - 25 LPA - 50LPA
Data Engineering @ Accenture - 12 LPA
Junior Accountant @ Fortis - 8 LPA
SQL Developer @ Wipro - 10 LPA
Salesforce Administrator @ Deloitte - 15 LPA
RPA Developer @ IBM - 20 LPA
Tableau Developer @ Genpact - 20 LPA
Talent Acquisition Executive @ Tech Mahindra - 12 LPA
Angular Developer @ Capgemini - 15 LPA
Data Analyst @ Amazon - 25 LPA
Java Developer @ Oracle - 25 LPA
CATIA Design Engineer @ TATA Motors - 20 LPA
AWS Solutions Architect @ Accenture - 25 LPA
Python Developer @ Mphasis - 15 LPA
QA Engineer @ HCLTech - 15 LPA
Cloud DevOps Engineer @ LTIMindtree - 18 LPA
Digital Marketer @ Google - 20 LPA
BTM Layout @ Inventateq - -
Genuine Reviews @ Inventateq - 25 LPA - 50LPA
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GOOGLE RATING
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REVIEWS
4.7/5 · 1,432+ Verified Reviews
Inventateq teaches Artificial Intelligence in a practical way. The syllabus moves from LLM basics to prompt engineering, tools and function calling, memory, multi-agent systems, guardrails, evaluation, and deployment, so learners can see how real AI systems are built.
We stand apart through our commitment to:
Live online Artificial Intelligence classes from Bhopal are designed for learners who want flexibility without losing structure. You attend the same practical sessions, complete guided exercises, and get the same trainer support as classroom students.
Students who want a clear start in Artificial Intelligence and want to learn from fundamentals to projects.
Developers who want to move into LLM apps, agentic AI, and automation workflows.
People from data, BI, or reporting backgrounds who want to work on AI-driven systems.
Working professionals who want a practical course that leads to AI-related job roles.
Learners who can follow structured training and want guided practice with tools and projects.
Mode: Offline classroom and live online options
Learning style: Instructor-led with hands-on practice
Projects: Agent, generative AI, and deployment exercises
Support: Trainer guidance throughout the course
No prior AI background is needed to start.
Rated 4.9/5
Inventateq keeps the course practical from the first module. You learn by building AI workflows, testing tools, and deploying working applications instead of only studying concepts.
By the end of the course, you will have worked through prompt design, tool integration, memory handling, agent coordination, evaluation, and deployment. That gives you practical material you can discuss, demonstrate, and improve.
You learn how to create agents that reason, act, call tools, and handle structured output. The syllabus moves from simple agent loops to multi-agent systems and deployment.
The course includes OpenAI API, LangChain, LangGraph, AutoGen, CrewAI, Pinecone, Hugging Face, and FastAPI. You learn how these tools fit together in a working workflow.
You work with short-term memory, long-term memory, vector databases, and RAG concepts. This helps you design assistants that remember and use context properly.
You learn guardrails, approval flows, budget limits, and breakpoints. These skills matter when an AI workflow can trigger actions or use external tools.
The course covers tracing, latency, token usage, and evaluation methods. You learn how to find failure points and improve agent behavior.
You practice deployment with FastAPI, Docker, AsyncIO, and cloud services. That means your projects are not just demos; they are built with release and scale in mind.
The certification validates that you have completed practical training in agentic AI, generative AI, prompting, tools, memory, workflows, evaluation, and deployment. It helps employers see that you have trained on real AI development concepts and tools.
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, it is suitable for beginners who want a structured start. The course begins with how AI evolved and then moves into prompting, tools, memory, and deployment. If you can follow basic programming or logic workflows, you can start learning with support.
Yes, the syllabus includes practical exercises and project-style work. You will build a research agent, a data analyst agent, and a deployed AI workflow. The course is designed so you learn by doing, not only by listening.
Yes, placement support is included with the training approach. You get resume help, mock interviews, portfolio guidance, and mentoring for junior AI-related roles. The support is focused on helping you present the skills you actually learned in class.
Yes, non-technical learners can join if they are ready to study in a structured way. The course explains concepts step by step and gradually adds tools, workflows, and deployment topics. Support during practice sessions helps make the learning process manageable.
Yes, live online training is available. You can attend from Bhopal and still get interactive sessions, project practice, and trainer support. The online format follows the same syllabus as the classroom track.
The course length depends on the batch format and how fast you progress through projects. The syllabus is organized in weeks, so the learning path is clear from fundamentals to deployment. You can ask the team for the current batch schedule and mode options.
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