AI Engineering for Beginners: From ML Foundations to Production Systems

AI isn't just for PhDs and Silicon Valley giants anymore. AI Engineering for Beginners: From ML Foundations to Production Systems is your practical, no-fluff roadmap to mastering artificial intelligence, from the ground up. Whether you're a coding enthusiast, aspiring AI engineer, or tech professional pivoting into machine learning, this book takes you by the hand guiding you through core ML principles, hands-on projects, and real-world deployment strategies that companies use today.

Inside, you won't just learn theory you'll build projects, optimize models, and gain production-ready skills that are in high demand across industries. From foundational machine learning concepts to MLOps, cloud scaling, and advanced AI agents like LLMs, you'll discover exactly how to design, develop, and deliver AI solutions in a structured, beginner-friendly way.

By the end, you won't just understand AI you'll be able to engineer it.

• Master core machine learning concepts and build your first working models using Python & scikit-learn.

• Navigate essential AI tools like TensorFlow, PyTorch, and MLflow without the confusion.

• Design scalable AI pipelines and automate workflows with cutting-edge MLOps techniques.

• Deploy real AI systems using FastAPI, Docker, and cloud services like AWS and GCP.

• Explore Large Language Models (LLMs), prompt engineering, and AI agent frameworks for modern AI applications.

Start your AI journey today grab your copy and begin building intelligent systems that make a real impact!