AI/Automation Courses

You need a working grasp of programming fundamentals, preferably in Python, along with basic linear algebra and statistics. If you have experience building backend systems or working with data structures, you will find it much easier to digest neural networks and vector database operations during live sessions.

Start with core predictive models in our Machine Learning path if you want to understand foundational data pipelines and classification. If your goal is to build chatbots, search systems, or LLM-powered applications immediately, jump directly into the Generative AI Course.

All cohorts run live and online in timezone-friendly batches, taught by working engineers who build production AI systems daily. You write code alongside the instructor, debug failure modes in real time, and ask questions directly during interactive sessions rather than watching static pre-recorded videos.

Generative AI models respond directly to a single prompt using transformer weights and context. Agentic AI takes this further by giving models tools, memory loops, and planning loops so they can execute multi-step workflows, call external APIs, and autonomously fix errors without human intervention.

Our curriculum focuses on production realities like token budgeting, handling model hallucinations, diagnosing tool-calling exceptions, and scaling multi-agent architectures. Hiring loops test these exact production debugging skills rather than simple toy scripts, which we cover extensively across our advanced tracks.

Timelines vary depending on your starting point and chosen specialization. Individual courses typically run between eight weeks and six months in part-time schedules. This allows working developers and freshers across Delhi NCR and worldwide to balance daily professional commitments while mastering advanced machine learning and LLM architectures.

Every module includes production-grade coding assignments, from building custom vector search pipelines to deploying autonomous agents. You will construct functional applications using modern frameworks like PyTorch, LangChain, and FastAPI, ensuring you have a tangible portfolio that proves your engineering capabilities to hiring managers.

7 at the moment, spanning beginner, intermediate and advanced levels. They include GitHub Copilot Mastery: GH-300 & GH-600 Certification Program, Agentic AI Software Engineering: Build & Deploy Production Agents and Artificial Intelligence. The catalogue changes as batches open and close, so this page reflects what is currently running.

It depends on the programme. The shortest in this category runs 12 Weeks; the longest runs 6 Months (24 Weeks). Shorter formats suit someone topping up a specific skill, longer ones suit a career change where you need the fundamentals as well as the tools.

Not for every course here — this category includes beginner-level programmes that start from fundamentals. The intermediate and advanced ones assume you can already write and debug code comfortably. If you are unsure which fits, the free tutorials are a fair way to test your footing before committing.

Both, and you can mix them within a batch. Live sessions run Monday to Saturday, 10:00–19:00 IST, taught by engineers from the studio that builds our client work. Enrolled learners keep lifetime access to their batch recordings.