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AI is easy to try. Using it well is a skill.
Practical AI for Beginners is a clear, hands-on guide for anyone who wants to understand modern artificial intelligence and use it productively without becoming a programmer or machine-learning engineer.
You will start with the fundamentals: what AI, machine learning, neural networks, generative AI, and large language models actually are. Then you will move into the skills that matter in real life-better prompting, source verification, grounded research, Human + AI workflows, automation, and AI agents.
At the center of the book is the G.C.I.C.O. Method: Goal, Context, Instructions, Constraints, and Output. It gives you a simple framework for turning vague requests into useful AI instructions you can reuse at work, in research, while learning, or in everyday tasks.
You will learn how to write clearer prompts, understand RAG and embeddings, verify AI-generated claims, create repeatable workflows, use AI agents more safely, recognize hallucinations and prompt injection, protect sensitive information, and decide which tasks should remain under human control.
The book also includes 50 ready-to-use prompts, 40 hands-on labs, 10 complete Human + AI workflows, 10 practical case studies, evaluation and safety scorecards, a troubleshooting guide, and a 30-day AI practice plan.
No coding required. No hype. Just practical AI skills you can use.
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