Books

Your AI application works on your machine. What happens when it reaches production? Learn to deploy, monitor, secure, and scale AI systems using Docker, CI/CD, Kubernetes, cloud infrastructure, and practical production engineering. Move beyond prototypes and build AI applications you can operate with confidence.

A practical, source-labelled guide to the EU CBAM definitive regime: from the installation fence to the certificate bill.

Stop wasting hours on repetitive work. Let AI do the heavy lifting.AI & Automation for Everyday Work is a beginner-friendly, practical guide that shows you how to use AI tools like ChatGPT to save time on the tasks you do every day. No technical skills needed.Inside you'll learn how to:Understand what AI and automation can (and can't) doWrite emails and messages fasterCreate reports and documents in minutesUse AI with Excel and Google SheetsTurn meetings into clear notes and summariesAutomate content creationResearch and organize information easilySet up simple no-code automationBonus features:30 ready-to-use AI workflows100 copy-paste AI promptsA 7-day quick-start planA handy cheat sheetJust read each topic, copy the example prompt, add your own details, and get results right away.Perfect for students, office workers, freelancers and business owners who want to work smarter, not harder.This book is for educational and productivity purposes only. Always review AI output before using it.

63 درسًا عمليًا من عشرين عامًا في الريتيل، تساعدك على تحسين تجربة العميل، وقيادة الفريق، وإدارة المخزون، واتخاذ قرارات أوضح كل يوم.

63 short, practical retail lessons drawn from twenty years of experience. Improve everyday decisions in store operations, customer service, team leadership, and sales.

Here is the truth most people never hear: Patterns can be unlearned. Brains can change. Habits can be replaced. Lives can be rebuilt. No matter how long the struggle has lasted. No matter how many times someone has failed. No matter how hopeless things feel. Change is possible.

Build the engineering foundations required to design and develop production-grade AI systems—from Python and FastAPI to databases, security, semantic search, RAG, LLM architecture, and AI application performance.Go beyond Python programming and start thinking like an AI Engineer.The AI Engineer — Volume I takes you from professional Python engineering to the foundations of modern AI application development.You will build the engineering knowledge required to create reliable AI systems—not just experimental notebooks or simple API calls.A project-based AI engineering book covering Python production engineering, FastAPI, PostgreSQL, authentication, testing, reliability, embeddings, semantic search, RAG, LLM architecture, AI pipelines, caching, and performance optimization.AI EngineeringAI EngineerArtificial IntelligenceGenerative AILLMLarge Language ModelsPythonFastAPIRAGRetrieval Augmented GenerationSemantic SearchEmbeddingsVector SearchLLM ApplicationsAI SystemsMachine Learning EngineeringBackend EngineeringProduction AIAI ArchitectureSoftware Engineering

Turning evidence into better decisions, stronger outcomes and greater public value. The education minister's decisions shape the futures of millions of learners and the prosperity of a nation. This practical Guide integrates eight streams of education evidence into 100 drivers of excellence and gives ministers and their team a clear route to 3 to 5 national commitments that deliver sustained outcomes. Written by an education leader who has worked at every level, from the classroom and school inspections to national reform and advising governments.

What if the real anxiety of our age comes from seeing the individual pieces, but losing sight of the larger picture?The Anxious Planet is a search for coherence and meaning in a world crowded with ideas, identities, systems and competing claims to truth. Shaped by a life of living and working across different societies, and by the perspective of a global citizen rather than the temporary labels of immigrant or expatriate, the book asks a deceptively simple question: how do we make sense of the whole?