Artificial Intelligence

Build Smarter Chatbots and Voice AssistantsExplore Conversational AI from fundamentals to real-world applications. Learn NLP, intent and context management, intelligent chatbots, voice assistants, speech technologies, multimodal interfaces, APIs, deployment, business integration, analytics, ethics, LLMs, and Generative AI.

Secure AI. Understand the Threats. Build More Trustworthy Intelligent Systems.Explore adversarial attacks, data poisoning, model theft, AI-enabled cyber threats, secure AI development, adversarial defenses, trustworthy AI, MLOps security, governance, privacy, red teaming, and the future of AI cybersecurity through practical concepts and real-world case studies.

Build, Train, Optimize, Secure, and Deploy Large Language Models Under Full Infrastructure ControlLarge language models are increasingly treated as hosted services, but organizations seeking genuine control over their AI capabilities must understand and engineer the infrastructure behind them. Data ownership, compute resources, model weights, training pipelines, inference runtimes, security boundaries, and operational telemetry all contribute to the independence and reliability of an AI system.

Explore the Future of AI-Powered RoboticsDiscover how Artificial Intelligence is transforming robots into intelligent machines capable of learning, seeing, communicating, navigating, and making decisions. Explore Machine Learning, Computer Vision, NLP, Deep Learning, autonomous systems, smart factories, healthcare robots, drones, humanoids, agricultural robotics, ethics, and future trends.

An AI agent on your site today guesses which button to click. WebMCP lets your page hand it a list of things it can do instead. Build one small shop, run the code as you go, and learn where the API is solid, where it isn't, and how to ship it anyway.

AI is no longer just a technology experiment.It is becoming part of how businesses communicate, process information, serve customers, manage workflows, analyze data, and make decisions.But where should AI actually be used?AI-Driven Operations provides a practical roadmap for answering that question.Discover how to:Find the right processes to automateTurn manual workflows into intelligent workflowsUse AI agents responsiblyConnect AI with business systemsReduce operational costsMeasure real business valueProtect data and maintain human oversightScale successful AI initiativesThe future of business is not about using the most AI.It is about using AI intelligently.

AI now drafts the charter, builds the schedule, and writes the status report. The project lifecycle was not designed for that. The AI-Native Project Manager gives working project managers a redesigned lifecycle, the Governed Loop: five phases, three human checks, and an Autonomy Dial for deciding how much the machine does. Practical, sourced, and written by a PMP who runs multi-team programs for a living.

GPT-6 Astra changes the way prompting works. This practical guide explains what makes it different, why old techniques can fail and how to write prompts that deliver reliable results. Learn how to build, refine and troubleshoot prompts while finding the right balance between control and autonomy.

Go beyond calling transformer libraries and learn what actually happens under the hood. Starting from first principles, this book builds transformers from scratch with NumPy and PyTorch, then takes you through training, optimization and production inference. Along the way, you’ll work through the math, code and practical techniques behind modern transformer systems.

"Your stack is not the tools you buy. It is the system you build."Selling used to be personal — carried in memory, known by name, and lost when the person left. Now it runs on software: data, automation, and AI that never sleeps, never forgets, and increasingly decides for itself.But more tools do not make a better system. Too many teams accumulate products like a junk drawer — overlapping, disconnected, and drowning in capabilities they never fully use. What matters is not what you add, but how it all fits together.From CRM foundations to autonomous AI agents, from data hygiene to ethical governance — here is the clear, practical framework to design your stack from the ground up: clean, connected, human-guided, and built to last. No vendor bias, no hype, just the architecture that will still work when today’s newest tool is obsolete.

Build one real app, from the first ionic start to a signed release, with Ionic 9, Angular 22 and Capacitor 8. Every starter, build and test in this book was checked against the real toolchain, and the app's code along the way is waiting in a public repository.

"Your team is already hybrid. The only question is whether it is designed."AI arrived quietly — one prompt, one draft, one spreadsheet at a time. Now your team works faster than ever. But do you know who verifies what? Who is accountable when the answer is wrong? Who hides their use, and who worries they will be replaced?This is not a technology problem. It is a design problem.From mapping your work to setting boundaries, from assigning roles to leading the conversation about what AI cannot do — here is the complete practical framework to lead your team alongside AI. No code, no hype, no big-bang transformation. Just clear management, honest conversation, and a plan that works.You do not need to be technical. You need to be clear.

100 AI alata. Koji vam zaista trebaju? AI Almanah 2026 pomaže vam da izaberete prave alate za svoj posao, razumijete njihove cijene i ograničenja i izbjegnete nepotrebne pretplate.

AI is changing how we work, learn and live, but understanding it does not have to be complicated. This practical guide explains how modern AI and LLMs work, what they can do, where they fall short and how to use them effectively without the hype.

Stop guessing at prompts. This visual workbook gives you 50 ready-to-run workflows, command cheatsheets, and debugging checklists for Claude Code, Cursor, and GitHub Copilot — so you can open any page and immediately know what to type.