AI Agents Handbook for Everyone
Understand AI agents through familiar work and life scenarios—without coding or unnecessary technical language.
MAANAVAN HANDBOOK LIBRARY
Build the mental model first, then learn through visual explanations, familiar analogies, real project scenarios and decisions you can apply.
PUBLISHED HANDBOOKS
Search by skill or choose a subject area. Every handbook connects visual explanations, real scenarios and practical engineering decisions.
Understand AI agents through familiar work and life scenarios—without coding or unnecessary technical language.
Learn inline suggestions, Copilot Chat, effective prompting, agent mode and responsible engineering governance.
Understand the FDE role, balanced skillset, engagement lifecycle, customer trust and evidence-based career path.
Understand containers, package a Python application, manage runtime configuration and deploy a practical Generative AI service.
Build practical LLM, RAG and agentic AI applications with Python using current LangChain patterns.
Give AI governed access to private knowledge—from document preparation and semantic retrieval to cited answers, evaluation and deployment.
Build, validate, stream, secure, test and deploy production-ready Python APIs for Generative AI, RAG and agent applications.
Build enterprise applications with modern Java, Spring Boot, databases, grounded Generative AI and production deployment.
Query, analyse and safely power analytics, data engineering, RAG and AI-agent applications with SQL.
Learn document modelling, Atlas Vector Search, agent memory, aggregation pipelines and production operations through one connected AI application.
Learn Python through one connected GenAI and agentic AI project—from language foundations and APIs to tools, evaluation, security and deployment.
Trace the invisible journeys behind messaging, payments, live delivery tracking, video streaming and navigation.