Join Inventateq’s Artificial Intelligence Training in Pune and learn how agentic AI systems are built with OpenAI API, LangChain, LangGraph, AutoGen, CrewAI, Hugging Face, Pinecone, FastAPI, Docker, and cloud deployment tools. You will work through prompt design, tool calling, memory, multi-agent workflows, guardrails, evaluation, and deployment with practical training aligned to real project work.
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 useful when you can use it in interviews and on the job. Inventateq supports learners in Pune with practical placement help that focuses on the roles this course prepares you for, from junior AI support work to agentic AI developer and analytics-oriented positions.
Artificial Intelligence hiring in Pune spans analytics teams, product companies, automation work, and software delivery groups. Pay usually rises with project depth, deployment experience, and the ability to build reliable AI workflows with tools such as OpenAI API, LangChain, and Python.
Artificial Intelligence Average Salary by Experience
Artificial Intelligence hiring in Pune spans analytics teams, product companies, automation work, and software delivery groups. Pay usually rises with project depth, deployment experience, and the ability to build reliable AI workflows with tools such as OpenAI API, LangChain, and Python.
Artificial Intelligence Average Salary by Experience
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Inventateq teaches Artificial Intelligence in a practical way, using the actual workflow behind agentic systems, generative AI projects, and deployment. The course follows the syllabus closely, so you move from prompts and tool use to memory, multi-agent design, guardrails, evaluation, and cloud deployment with clear hands-on practice.
We stand apart through our commitment to:
Live online training is available for learners in Pune who want the same syllabus with flexible access from home. Sessions stay interactive, with code walkthroughs, project guidance, and mentor support during the class.
Good for learners who want a clear path into Artificial Intelligence, Generative AI, and agentic systems without starting from random tutorials.
Useful for students who already know basic Python or data concepts and want to apply them to LLM-based workflows.
Fits analysts, developers, and QA professionals who want to move into AI, automation, or generative AI roles.
Helps non-AI professionals who want structured training, projects, and placement support for Pune job roles.
Best for people who want to build practical AI projects instead of only studying theory.
Duration: Built around structured weekly modules and project practice.
Mode: Available in classroom and live online formats.
Training style: Mentor-led sessions with hands-on coding and project work.
Learning flow: Moves from fundamentals to advanced agentic AI and deployment.
Suitable for beginners as well as working professionals who want a practical AI path.
Rated 4.9/5
Inventateq focuses on job-ready Artificial Intelligence training with practical tasks, coding practice, and project completion. The syllabus is taught in a sequence that helps learners understand AI systems from the ground up and apply them with real tools.
You will spend time building AI workflows, not just reading about them. By the end of the course, you will have worked on prompts, tools, memory systems, multi-agent setups, and deployment tasks that are useful in interviews and real projects.
Learn to design agents that reason, use tools, and complete tasks with structured outputs and function calling.
Understand how to manage short-term and long-term memory, state, and planning in agentic systems.
Work on manager-worker and peer-style collaborations using frameworks like AutoGen and CrewAI.
Use HITL steps, approvals, guardrails, and budgets to keep AI systems stable.
Trace failures, measure latency, and study outputs using observability tools and evaluation methods.
Take a project from development to cloud deployment with FastAPI, Docker, and async execution.
This certification shows that you completed practical training in agentic AI, generative AI, and deployment workflows. It helps employers see that you have worked with the tools and project patterns used in modern AI teams.
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 from the basics of NLP, LLMs, chatbots, and agency before moving into advanced topics. Beginners can follow the structure if they are willing to practice consistently. The training is designed to build step by step rather than assuming deep prior knowledge.
Yes, the syllabus includes hands-on work such as a research agent, a data analyst agent, and chatbot project development and deployment. These projects are useful because they help you apply prompts, tools, memory, and deployment concepts together. They also give you concrete work to discuss in interviews.
Yes, placement support is part of the course approach. You get help with resume preparation, interview practice, project presentation, and role guidance. The support is focused on connecting your training to relevant job roles.
You can join if you are ready to learn the basics and follow the training carefully. The course covers concepts from the ground up and explains how AI systems work in practical terms. A non-technical learner may need more practice, but the path is clear and structured.
Yes, live online training is available for learners in Pune who want flexibility. The online format follows the same curriculum and includes mentor-led sessions, code walkthroughs, and project support. It is suitable for working professionals and students who cannot attend a classroom batch regularly.
The course includes OpenAI API, LangChain, LangGraph, AutoGen, CrewAI, Hugging Face, Pinecone, FastAPI, Docker, and related deployment tools. You also work with concepts like function calling, RAG, guardrails, and observability. These tools are chosen because they are directly used in the syllabus.
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