Go beyond the basics and understand how LLMs actually work. Master prompting techniques, compare models, and learn cost optimization strategies for production use.
Category: Tutorial
Generative AI Fundamentals: A Practical Guide to the Technology Reshaping Software
Cut through the hype and understand what Generative AI actually is, how it works, and why it matters. A hands-on introduction for developers and architects ready to build with LLMs.
Python Machine Learning Frameworks: Scikit-learn, TensorFlow, and PyTorch Compared
Compare Python’s leading ML frameworks for enterprise deployments. Learn when to use Scikit-learn for classical ML, TensorFlow for production deep learning, and PyTorch for research flexibility with production-ready code examples.
Types of Machine Learning Explained: Supervised, Unsupervised, and Reinforcement Learning
Deep dive into the three fundamental paradigms of machine learning. Explore supervised learning for predictions, unsupervised learning for pattern discovery, and reinforcement learning for decision optimization with practical Python examples.
Machine Learning Fundamentals: A Comprehensive Guide to Enterprise AI Foundations
Discover the foundations of machine learning from an enterprise architect’s perspective. Learn core ML concepts, the ML workflow, and practical Python implementations to kickstart your AI journey.
Claude API Deep Dive: Building with Anthropic’s Models
A comprehensive guide to the Anthropic Claude API covering Claude 3.5 Sonnet, tool use, vision, computer use, and production best practices.
The Complete Guide to RAG Architecture: From Fundamentals to Production
Master Retrieval-Augmented Generation (RAG) with this expert-level guide. Learn about RAG types (Naive, Advanced, Modular, Agentic), chunking strategies, embedding models, vector databases, hybrid retrieval, and production best practices with high-quality architecture diagrams.
Building AI Agents with LangGraph and CrewAI: A Practical Guide
Learn to build production AI agents using LangGraph and CrewAI. Covers agent architectures, multi-agent teams, tool integration, and production best practices.
OpenAI API Complete Guide: From Chat Completions to Assistants
A comprehensive guide to the OpenAI API covering GPT-4o, function calling, the Assistants API, vision capabilities, and production best practices with code examples.
AI Security: Defending Against Prompt Injection and LLM Attacks
A comprehensive guide to securing LLM applications against prompt injection, jailbreaking, and data exfiltration attacks. Includes production-ready defense implementations.
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