Join Inventateq’s Artificial Intelligence Training in Kanpur and learn how to build agentic AI workflows, generative AI apps, and LLM-based automation using OpenAI API, LangChain, Hugging Face, Pinecone, LangGraph, AutoGen, CrewAI, FastAPI, Docker, and cloud deployment tools. The course is built around practical work, not theory-only lectures, so you learn the tools and the workflow used in real AI projects.
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
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Learning AI is only one part of the job. Students also need help turning those skills into interviews, portfolio projects, and clear job-ready profiles, especially for roles that involve LLMs, automation, and data-driven systems. Inventateq supports that process with practical placement guidance built around the course work.
AI, analytics, and automation roles in Kanpur are usually hired across IT services, product support teams, consulting, and business operations. Pay grows as you move from tool usage and project execution to architecture, system design, and team leadership.
Artificial Intelligence Average Salary by Experience
AI, analytics, and automation roles in Kanpur are usually hired across IT services, product support teams, consulting, and business operations. Pay grows as you move from tool usage and project execution to architecture, system design, and team leadership.
Artificial Intelligence Average Salary by Experience
4.7/5 Google Rating | 1,432+ Verified Reviews
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Inventateq teaches Artificial Intelligence in a practical sequence: agent basics, prompt engineering, tools and function calling, memory, agent frameworks, planning, multi-agent systems, guardrails, evaluation, and deployment. Each stage uses the actual tools from the syllabus, so learners move from concepts to working AI systems with code, tracing, and deployment practice.
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Live online training from Kanpur follows the same practical syllabus and mentor-led teaching style as the classroom format. You can join from home, ask questions in real time, and complete the same assignments and projects with guidance.
Good for learners who want a clear entry into AI, LLMs, and automation with guided practice.
Useful for developers, analysts, and IT professionals who want to move into AI-based systems and tools.
Fits people from analytics, business analysis, and reporting roles who want to add generative AI skills.
Suitable if you are starting with basic computer knowledge and want structured, mentor-led training.
Helps anyone shifting from support, operations, or reporting into AI-focused roles.
Format: Classroom and live online training
Pace: Structured weekly learning with project practice
Mode: Weekday and weekend batches
Support: Mentor-led sessions with practical coding work
No prior AI experience is required to start the course.
Rated 4.9/5
Inventateq focuses on job-oriented AI training with clear module flow, practical project work, and mentor support throughout the course. The teaching style is direct and useful: learn the tools, build the workflow, and understand how to explain your work in interviews.
By the end of the course, learners have worked through AI agent logic, tool use, memory, multi-agent design, and deployment. They also complete project-style tasks that help them talk about their work clearly in interviews.
Learn how to design agents that can reason, select tools, and complete tasks using the ReAct pattern and function calling.
Work on research agents, data analyst agents, and chatbot-style projects based on the syllabus, not sample-only theory.
Get hands-on with LangChain, LangGraph, AutoGen, CrewAI, and other tools used in agentic workflows.
Understand how short-term context, vector databases, semantic memory, and episodic memory support longer workflows.
Learn how to package and deploy AI services using FastAPI, Docker, AsyncIO, and cloud-ready structure.
Turn your course work into a portfolio and use it to discuss AI design choices, debugging, and delivery in interviews.
The certification shows that you completed practical training in agentic AI, generative AI, tools and function calling, memory, frameworks, evaluation, and deployment. It helps employers see that you worked with current AI tools and completed project-based training, not just classroom notes.
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 beginners who are willing to learn step by step. It starts from the evolution of AI systems and moves gradually into prompt engineering, tools, memory, and frameworks. You do not need prior agentic AI experience to begin.
Yes, the syllabus includes practical work throughout the course. You will build examples like a research agent, a data analyst agent, and chatbot-related workflows. The course also includes deployment-oriented work so you understand how the system runs outside the classroom.
The course supports roles such as Data Analyst, Business Analyst, AI Developer, Analytics Consultant, and related analytics positions. As your experience grows, you can also move toward lead, manager, and architecture-level responsibilities in AI and data strategy. The role path depends on your background and the strength of your portfolio.
Yes, Inventateq provides placement support to help you prepare for interviews and job applications. That includes resume preparation, mock interviews, and guidance on how to present your AI projects. The support is practical and aimed at making your training usable in the job market.
Yes, live online training is available for learners in Kanpur. You can follow the same mentor-led sessions and project work without coming to the classroom. This is useful if you want flexibility while still keeping the training structured.
The syllabus is organized into weekly modules and project-oriented learning blocks. The exact pace can vary by batch format, but the course is designed to move in a clear sequence from fundamentals to deployment. You can choose a schedule that fits weekday or weekend learning.
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