Newman Chandler

Modern Data Engineering with SQL in 2025: Architect, Transform, and Tune Big Data Workflows Using SELECT, JOIN, GROUP BY, and Advanced Techniques

Newman Chandler

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Data Engineering with Python 2025: Build Scalable, Low-Latency Pipelines Using Modern Data Structures, Apache Arrow, and Advanced Algorithms

Newman Chandler

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Modern Data Lake Architecture: A Practical Guide to Iceberg & Delta Lake for Scalable Analytics

Newman Chandler

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Advanced Data Modeling Patterns: Master SQL, NoSQL, graph, and bi-temporal designs for enterprise data solutions 2025

Newman Chandler

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Data Pipeline Automation Handbook: Expert Strategies for Scheduling, Monitoring, and Optimizing with Airflow & Mage

Newman Chandler

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Efficient AI Pipelines with Vector Databases: Build, Deploy, and Optimize Pinecone and LLM-Driven Applications for Scalable Insights

Newman Chandler

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DSPy Essentials for Generative AI Developers: Creating Scalable Multimodal Pipelines

Newman Chandler

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Scalable AI Agent Engineering: Extend Context Windows and Implement Reliable Memory Systems with Semantic Kernel and Modern Vector Stores

Newman Chandler

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Small Language Models for AI Agents: Practical Strategies for Efficient, Low-Latency On-Device NLP

Newman Chandler

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Agentic AI-Driven Git Workflows: Accelerate Development, Enhance Code Quality, and Automate CI/CD with LangGraph-Powered AI Agents

Newman Chandler

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The Context Engineering Handbook: Build reliable, high-performance LLM systems using Scalable RAG Architectures with LlamaIndex and Vector Databases

Newman Chandler

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Build Resilient AI Workflows: Master RAG, Vector Databases, and Real-Time NLP Frameworks

Newman Chandler

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Deep Learning in Python Using JAX: Achieve Breakthrough Speed and Robust Scalability for AI Applications

Newman Chandler

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Anthropic API for AI App Developers: Build Production-Ready Intelligent Systems with Messages API, Tool Integrations, and RAG Workflows

Newman Chandler

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LLM as a Judge for AI Systems: Automated Evaluation Frameworks, Bias Controls, and CI/CD Quality Gates for Developers Building Reliable AI

Newman Chandler

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Agentic AI Engineering for Developers: Design, Deploy, and Optimize Modular AI Agents with LangChain, RAG, and Local-First Ollama Workflows

Newman Chandler

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GenAI Apps with Streamlit for Developers: Deliver Production-Ready AI Apps with Reliable RAG, Tracing, and Easy Deploys

Newman Chandler

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Model Context Protocol (MCP) Servers in Python: Build production-ready FastAPI & WebSocket MCP servers that power reliable LLM integrations

Newman Chandler

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AI Observability in Action: Gain Full Visibility into Your LLMs, RAG, and Agent Workflows for Higher Confidence

Newman Chandler

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AI Agent Crash Course with Supabase Vector Store: Deploy Real-World RAG Systems Using pgvector and Postgres

Newman Chandler

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Building AI Agents with Azure AI Foundry SDK: A Practical Guide for Developers and Data Engineers

Newman Chandler

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Gemini AI Agents with n8n and Google Cloud Run: Create Production-Ready Automation, Reduce Manual Work, and Launch Reliable AI Systems with Confidence

Newman Chandler

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LLMOps for Engineers: Build Reliable, Scalable, and Cost-Efficient LLM Systems That Deliver Real Business Value

Newman Chandler

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Designing Long-Context AI Systems: Build Faster, Smarter, and More Scalable LLM Applications Using Memory Architectures, Vector Search, and Retrieval Pipelines

Newman Chandler

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Agentic AI Business Architecture: Create Outcome-Driven AI Agent Solutions with Control, Governance, and ROI

Newman Chandler

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Big Data vs Fast Data in Agentic Architectures: Batch, Streaming, and AI Decision Loops

Newman Chandler

Out of Stock