Do I need a computer science background for the Agentic AI course?

No. Any engineering student who is comfortable with basics like Python and mild mathematics can succeed. The program starts with software engineering and LLM fundamentals before moving to advanced agent development.

What is the difference between LLM engineering and Agentic AI?

LLM engineering is about working with large language models directly — prompting, context, structured outputs, and APIs. Agentic AI builds on that to create AI systems that plan, reason, and act autonomously using tools, memory, and multi-agent orchestration.

How long does each engineering program take?

Programs are typically 12 months of structured, mentor-led learning delivered module by module, with hands-on projects throughout every stage.

Will I build real projects during the program?

Yes. Every module pairs theory with a build task, and you complete production-style projects — LLM applications, RAG pipelines, and deployed AI agents — that become portfolio pieces for internships and jobs.

Do you help with internships and placements?

Yes. The curriculum is built around the skills employers ask for in Agentic AI and LLM engineering roles, and your mentor supports you with resumes, interview preparation, and project portfolios.

AI engineering course in India

AI Engineering Course

Live cohort classes plus 1:1 mentorship across LLM, RAG, MCP, LangChain, LangGraph and LLMOps tracks. Built for engineering students and freshers who need production proof, not certificates.

Who this AI engineering course is for

Engineering students in college

You are two or three years from placements and want AI on your CV before internship season. You start with software engineering and LLM fundamentals and finish with three production projects, weekly 1:1 mentorship and mock interviews until you can run them cold. This is a project-based AI course, not a certificate course: the work is the point.

Freshers already out of college

You have a degree and a gap, or a job that is not using it. The same course works, with the weight shifted: portfolio and interview preparation come earlier, and the career guidance and AI engineer roadmap adapt to a target role rather than a semester timetable.

Live classes, not just recordings

This is a live AI course. You attend scheduled cohort classes with an instructor in real time, then bring the work to your 1:1 mentorship session. Nothing important is left to a recording you never watch.

Absolute beginners are fine

No prior AI experience needed, only comfort with Python basics and some mathematics. The first modules assume you have never called a model API. If you have never written Python at all, start with the zero to AI engineer roadmap first.