Advanced Generative AI And Agentic AI Training In Noida

Python for AI & Automation (Foundation Layer) builds core Python skills to automate tasks and create a strong base for AI and machine learning development.

A foundational overview of how autonomous AI agents work with large language models to plan, reason, and execute tasks across modern AI systems.

An introductory overview of using LangChain and LangGraph to build, connect, and orchestrate intelligent, multi-step AI workflows.

 An overview of setting up the Python SDK and configuring nodes to build, connect, and manage scalable AI workflows efficiently.

A concise introduction to building stateful, multi-step AI workflows using LangGraph for agent orchestration and decision-making.

A practical introduction to designing and orchestrating multiple AI agents that collaborate and share state using LangGraph.

An overview of managing, passing, and maintaining context across nodes to enable consistent and intelligent decision-making in graph-based AI workflows.

A beginner-friendly overview of AutoGen for building and coordinating conversational AI agents that collaborate to solve complex tasks.

A practical guide to designing, configuring, and deploying tailored AI agents using the AutoGen framework.

 An introduction to integrating AutoGen agents with LangGraph to build scalable, coordinated, and state-aware multi-agent AI systems.

A practical overview of using LangGraph to extract, validate, and process invoice data through structured, multi-step AI workflows.

An overview of building an OCR-based pipeline to extract, clean, and structure text from images for automated data processing.

A focused overview of designing more complex graph-based AI workflows with conditional logic, state management, and optimized execution.

A beginner-friendly overview of using Docker to package, deploy, and run applications consistently across different environments.

An introduction to orchestrating multiple services using Docker Compose for streamlined development and deployment workflows.

An overview of validating and testing LangGraph applications running in Docker to ensure reliability, scalability, and smooth deployments.

 A beginner-level overview of Kubernetes for orchestrating, scaling, and managing containerized applications in production environments.

An overview of deploying and managing LangGraph-based AI workflows on Kubernetes for scalable and resilient production setups.

A concise overview of deploying and scaling AutoGen-based multi-agent systems on Kubernetes for production-ready AI workloads.

An introduction to deploying, managing, and scaling applications on Microsoft Azure using secure, reliable cloud services.