AI Agents Course & Agentic AI Training
Claude Mastery, Voice Agents & Autonomous AI Workflows

Skill Radar offers agentic AI training in Tamil Nadu through its Master AI Agents course — a 12-week weekend AI agents course held in offline lab sessions at Gandhipuram, Coimbatore, with 24/7 cloud lab access for practice. It teaches students, freshers and software developers to build autonomous agent swarms, memory systems, tool-use, LangGraph stateful loops and CrewAI teams through hands-on lab work, in English and Tamil.

The Master AI Agents course is a hands-on AI agents course that teaches you to build AI agents and assistants on top of large language models. It covers LLMs, Claude mastery, prompt engineering, agentic workflows, RAG pipelines, autonomous tool calling, real-time voice agents (Twilio, Vapi) and multi-agent orchestration with LangChain, LangGraph and CrewAI.

Yes. Because the AI agents course runs as a weekend cohort, learners from Chennai, Madurai, Trichy, Salem, Erode, Tiruppur and other parts of Tamil Nadu can attend the lab sessions at Gandhipuram, Coimbatore on weekends and keep practising during the week on the 24/7 cloud lab. Classes are taught in English and Tamil.

Yes, Claude mastery is a core module of the Master AI Agents curriculum. You work with Anthropic's current Claude models, Artifacts, Extended Thinking, Tool Use, the Computer Use API and prompt caching, and learn how to integrate Claude into production systems.

Voice agents are taught by building and deploying them in the lab. You create real-time, low-latency voice agents and AI call assistants using Twilio, Vapi, Retell AI and the OpenAI Realtime API, then connect these voice bots to knowledge bases, CRM webhooks and multi-agent backends.

The program prepares you by having you connect AI agents to real business tools. You learn to link autonomous agents with databases, APIs, n8n automations and the Model Context Protocol (MCP) to automate business tasks, so agentic AI concepts are applied to working AI automation and AI workflows.

An AI agent is an autonomous software system that reasons with a large language model (LLM) such as GPT, Claude or Gemini and uses tools to achieve a goal without constant human intervention. It perceives its environment, then plans and executes multi-step tasks using techniques like ReAct loops, chain-of-thought reasoning, function calling and vector memory (RAG).

No, prior AI experience is not required; basic Python knowledge is enough to join. The course builds AI and LLM concepts step by step, from prompt engineering to multi-agent orchestration, and no prior machine learning experience is needed.

You learn the Anthropic Claude API, OpenAI GPT APIs, the Google Gemini API, LangChain, LangGraph, CrewAI and AutoGen. The course also covers voice agent tools (Vapi, Twilio), vector databases (Pinecone, ChromaDB, FAISS), Python, FastAPI, Docker, and MongoDB for agent memory.

You build working AI systems that you deploy and add to your portfolio. Projects include a real-time voice agent for customer call handling, a Claude-powered autonomous code reviewer, an automated business workflow pipeline with CrewAI, a RAG search assistant with ChromaDB or Pinecone, and a stateful LangGraph multi-agent team.

RAG is a technique that improves LLM answers by first retrieving relevant information from a custom knowledge base, and yes, it is covered as a core module. The knowledge base is stored in vector databases such as ChromaDB or Pinecone, and you build RAG pipelines as part of the Master AI Agents curriculum.

Yes, Skill Radar offers AI training for colleges based on the Master AI Agents curriculum. Through dedicated academic packages, students learn to build multi-agent workflows, RAG tools and autonomous systems with 1-on-1 mentorship from working AI engineers.

Yes, Skill Radar runs school tracks that introduce AI fundamentals using the Master AI Agents framework. Students learn prompt engineering concepts, logic-based decision making and early-stage AI agent development in an age-appropriate, hands-on format.

Yes, Skill Radar runs Faculty Development Programs (FDPs) that provide AI training for professors and teachers. These programs help educators and academic mentors bring practical AI building exercises into their classrooms and research workflows.

Yes, the classes are held as offline weekend lab sessions at Skill Radar's centre in Gandhipuram/New Siddhapudhur, Coimbatore, Tamil Nadu. Students practise building and deploying autonomous agents with real-time support from mentors, and cloud lab access is available 24/7 for practice outside class.

Yes, the AI agents course is taught in both Tamil and English. Bilingual teaching makes AI agent development, prompt engineering and autonomous systems accessible to students, non-IT job switchers and working professionals across Tamil Nadu.

This course focuses specifically on building AI agents rather than general data science or introductory Python. Training is practical and hands-on, covering LangChain, LangGraph, CrewAI, Claude mastery, voice agents, vector databases (Pinecone, ChromaDB) and RAG pipelines, with 1-on-1 mentorship from AI architects at the Gandhipuram centre.

AI training at Skill Radar is project-based, with 1-on-1 mentor code reviews and small batch sizes. Learners get 24/7 cloud lab access to practise and deploy their work, and on completion receive a certification backed by Nandha Infotech Pvt Ltd.

For beginners, choose an AI agents course that starts from the basics and has you build working projects. Skill Radar's 12-week weekend AI agents course at its Gandhipuram lab starts with prompt engineering and LLM fundamentals, then moves to RAG, LangChain, LangGraph, CrewAI and voice agents in offline labs with 1-on-1 mentor reviews. Basic Python is enough to begin, and classes are taught in English and Tamil.

Yes, generative AI and prompt engineering are the first module of the course. You learn how large language models like Claude, GPT and Gemini work and how to write reliable prompts, then use those skills to build RAG search assistants, multi-agent workflows and voice bots.