Machine Learning
Guide to ML algorithms, model evaluation, data preprocessing, and best practices. Includes code examples in Python.
AI Agents
Guide to building intelligent autonomous agents with frameworks like LangChain, LangGraph, AutoGen, and CrewAI. Covers architecture, design patterns, and best practices.
Agentic AI
Guide to building agentic AI systems that perceive, plan, and act. Includes core concepts, frameworks, and best practices for autonomous AI.
Ray Framework
Guide to Ray, the distributed computing framework for scaling Python and AI applications. Covers Ray Core, Ray Data, Ray Train, Ray Tune, and Ray Serve.
Generative AI
Guide to generative AI models, prompting techniques, and best practices. Covers LLMs, prompt engineering, RAG, fine-tuning, and practical GenAI applications.
Linux
Master the Linux terminal with 200+ commands covering navigation, file management, text processing, networking, and system administration.