Agentic AI Training in India

Understand the fundamentals of Agentic AI, autonomous AI agents, their architecture, real-world applications, and how they differ from traditional and Generative AI systems.

Build a strong Python foundation by learning programming concepts, data structures, functions, object-oriented programming, and API integration for AI applications.

Learn how Large Language Models work, including prompting, inference, tokenization, embeddings, and practical applications in intelligent AI systems.

Master prompt engineering techniques to create accurate, reliable, and context-aware AI responses using modern prompting strategies.

Learn LangChain to build intelligent AI applications using chains, prompts, memory, tools, agents, and integrations.

Develop advanced multi-agent workflows using LangGraph for planning, execution, state management, and collaborative AI agents.

Build collaborative AI teams where multiple autonomous agents communicate, delegate tasks, and solve business problems together.

Learn to build AI applications that retrieve external knowledge to deliver accurate, context-aware, and reliable responses.

Understand vector databases for storing, indexing, and retrieving embeddings efficiently in enterprise AI applications.

Explore Model Context Protocol to securely connect AI agents with enterprise tools, databases, APIs, and external systems.

Design and build autonomous AI agents capable of planning, reasoning, executing tasks, and interacting with external systems.

Automate enterprise workflows using intelligent AI agents integrated with APIs, business applications, and cloud services.

Gain practical experience by building production-ready Agentic AI applications using industry-standard frameworks and tools.

Deploy Agentic AI applications using cloud platforms, APIs, containers, monitoring, and CI/CD best practices.

Prepare for Agentic AI job roles with resume building, mock interviews, coding practice, certification guidance, and placement support.