Learn Artificial Intelligence in Gurgaon with a practical focus on agentic AI, Generative AI, LangChain, LangGraph, OpenAI API, Hugging Face, Pinecone, FastAPI, Docker, and cloud deployment. You will build working AI agents, chatbots, and end-to-end projects that use tools, memory, retrieval, and multi-agent workflows.
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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This course is built for learners who want more than concepts. You need a path from training to interviews, especially in AI roles where employers ask for project work, tool usage, and deployment understanding. Inventateq supports that transition with practical career help alongside the technical course content.
Gurgaon has demand across IT services, analytics teams, consulting firms, product companies, and startups building AI workflows. Salary usually grows as you move from project execution to designing agents, integrations, and deployment-ready systems.
Artificial Intelligence Average Salary by Experience
Gurgaon has demand across IT services, analytics teams, consulting firms, product companies, and startups building AI workflows. Salary usually grows as you move from project execution to designing agents, integrations, and deployment-ready systems.
Artificial Intelligence Average Salary by Experience
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Inventateq teaches Artificial Intelligence with a practical sequence: agents, prompts, tools, memory, workflows, evaluation, and deployment. The curriculum is not just theory-heavy; it includes OpenAI API work, LangChain applications, vector databases, open-source LLMs, and project deployment so learners can explain and build actual systems.
We stand apart through our commitment to:
Live online Artificial Intelligence training is available for learners in Gurgaon who need flexible access from home or work. Sessions stay interactive, with trainer-led explanation, practical demos, and project guidance that follows the same syllabus as classroom batches.
Learners starting from scratch can join because the course begins with the evolution from NLP to LLMs, chatbots, and agents.
Developers, analysts, and testers who want to move into AI, agentic workflows, or Generative AI can use this program to build job-ready skills.
Students from data, BI, or business analysis backgrounds can use the Python, SQL, and deployment-oriented path to move into AI-enabled roles.
Anyone shifting into Artificial Intelligence in Gurgaon gets a structured path from prompting to workflows and deployment.
People who want hands-on tools, real projects, and practical deployment work will fit this course well.
Mode: Online live and classroom training options are available in Gurgaon.
Format: Trainer-led sessions with practical demos and guided project work.
Pace: Week-by-week learning from fundamentals to deployment.
Flexibility: Suitable for weekday and weekend learners.
No prior AI experience is required to start.
Rated 4.9/5
Inventateq focuses on practical learning that follows how AI systems are actually built. The course connects theory with tools, projects, deployment, and interview preparation so learners can move from classwork to real AI roles with a clear path.
You will work on practical assignments that go beyond theory, including agents, memory, tool calling, and deployed AI applications. By the end, you should be able to discuss the system design, tools, and deployment choices clearly.
Learn how to create agents that can reason, act, use tools, and handle structured outputs. The course takes you from the ReAct pattern to planning, multi-agent design, and guardrails.
Work on projects with OpenAI API, LangChain, Hugging Face, and vector databases. The syllabus includes end-to-end chatbot creation and project deployment.
Understand how short-term context, long-term storage, and semantic memory support stable AI workflows. You will also work with vector database concepts such as Pinecone.
Learn how to package and deploy AI systems using FastAPI, Docker, and cloud platforms. The course includes deployment tasks for multi-agent services and chatbots.
Study latency, cost control, hallucinations, evaluations, and observability. This helps you build systems that are more realistic and easier to explain in interviews.
The training connects course outputs to roles like Data Analyst, Business Analyst, AI Developer, and Analytics Consultant. That makes your learning easier to present in interviews and portfolio reviews.
The certification validates that you have completed a structured AI program covering agents, Generative AI, tool use, memory, planning, deployment, and evaluation. It helps employers see that you have worked with real tools and can explain practical implementation, not just theory.
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, beginners can join because the course starts with the basics of NLP, LLMs, chatbots, and agents. The teaching moves step by step, so you can understand the concepts before you work on the more advanced modules. If you are new to AI, you will still get a clear starting point.
Yes, the course includes hands-on work across prompting, tool use, memory, agentic frameworks, and deployment. You will build practical projects like a research agent and a data analyst agent. The training is focused on doing, not only listening.
Yes, placement support is part of the program. You get resume help, project presentation guidance, mock interviews, and mentoring for roles like Data Analyst, Business Analyst, and AI Developer. The support is designed to help you present your skills clearly to recruiters.
Yes, live online training is available for learners in Gurgaon. The online format covers the same syllabus and keeps the sessions interactive with trainer-led explanation and practical demos. It works well if you need flexibility but still want guided learning.
The syllabus is structured in weekly modules, from introduction to production deployment. The exact duration depends on the batch format and pace, but the course is designed as a complete job-oriented program. You can expect a structured learning path rather than a short overview class.
No strong coding background is required to start, but basic comfort with technology will help. The course introduces the tools and workflows in a practical way, including OpenAI API, LangChain, and deployment basics. Learners from non-AI backgrounds can still follow it with regular practice.
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