Join Inventateq’s AI Training in Guwahati to learn agentic AI, generative AI, LangChain, LangGraph, OpenAI API, Hugging Face, Pinecone, and practical deployment with Docker, FastAPI, AWS, and Render. You will build working agents, research workflows, and end-to-end AI projects from the ground up.
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 useful when you can apply it in interviews and on the job. Inventateq’s placement support is built around the actual roles this course prepares you for, with practical help on resumes, projects, and interview readiness.
AI, analytics, and automation roles in Guwahati are opening up across software services, startups, consulting teams, and data-driven business functions. Salary grows as you move from project execution to workflow design, deployment, and team leadership.
AI Average Salary by Experience
AI, analytics, and automation roles in Guwahati are opening up across software services, startups, consulting teams, and data-driven business functions. Salary grows as you move from project execution to workflow design, deployment, and team leadership.
AI Average Salary by Experience
4.7/5 Google Rating | 1,432+ Verified Reviews
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Inventateq teaches AI in a practical order: first the core agent concepts, then prompting, tools, memory, frameworks, planning, safety, evaluation, and deployment. The course uses real tools and real workflows, so you learn how to build systems that actually run, not just theory from slides.
We stand apart through our commitment to:
The live online AI batch from Guwahati gives you the same guided training without needing to travel. It works well for students and working professionals who want structured sessions, project practice, and mentor support from home.
Good for learners starting with AI, agents, and generative AI from the basics.
Useful for analysts, developers, and IT professionals who want to move into AI workflows.
Helps learners use AI tools for research, reporting, and automation.
Suitable if you want a structured introduction to prompting, tools, and agent design.
Fits learners who want practical project work for AI, analytics, and automation roles.
Mode: Offline classroom and live online options available
Format: Structured trainer-led sessions with practical exercises
Learning style: Theory, coding, assignments, and project work
Support: Mentor help during and after class hours
No prior AI experience is required to start.
Rated 4.9/5
Inventateq keeps the training practical, step-based, and aligned to the tools used in current AI work. You learn the subject in a sequence that makes sense, then apply it through projects, deployment practice, and interview preparation.
You will not just read about agents and generative AI. You will build workflows, connect tools, manage memory, test outputs, and deploy working projects that show real capability.
Learn to create agents that can reason, act, call tools, and complete tasks in steps. This includes research agents, data analyst agents, and multi-agent flows.
Use OpenAI API, LangChain, LangGraph, AutoGen, CrewAI, Hugging Face, Pinecone, Docker, and FastAPI in guided exercises.
Implement short-term and long-term memory, vector search, and RAG-style retrieval so your agents can keep state and use context properly.
Learn guardrails, approval flows, breakpoints, and budget controls so your systems stay manageable and predictable.
Use tracing and observability tools to find failures, measure latency, and understand how agent workflows behave.
Take a project from idea to deployment using cloud-ready workflows with containerization and API wrappers.
This certification confirms that you have trained on agentic AI, generative AI workflows, prompt engineering, tools, memory, deployment, and project execution. It helps show employers that you have completed structured, practical training with the tools used in modern AI roles.
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 the basics of how agents evolved from NLP and LLMs. The training is structured step by step, so beginners can follow it if they are willing to practice. You do not need prior experience in agentic AI to begin.
Yes, the course includes hands-on work across prompting, tool use, memory, frameworks, and deployment. You will build projects such as a research agent and a data analyst agent. That practical work is part of the training, not an add-on.
Yes, placement support is included with the course. You get help with resumes, project presentation, mock interviews, and role guidance. The support is designed around AI, analytics, and business roles that fit the syllabus.
Yes, non-technical learners can join if they want a structured introduction and are ready to practice regularly. The course explains concepts in a practical way and builds up to tools, workflows, and deployment. It is suitable for learners who want to move into AI through guided training.
Yes, live online training is available. It follows the same course structure as the classroom batch and covers the same tools and projects. This is useful if you want flexibility but still want trainer interaction.
The course is organized across multiple weeks and modules, covering everything from basics to deployment. The exact pace can vary by batch format and learning mode. The focus is on completing the syllabus properly rather than rushing through it.
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