{"id":14652,"date":"2026-08-10T11:16:52","date_gmt":"2026-08-10T11:16:52","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/cbtnuggets-introduction-to-machine-learning-and-ai-engineering-2026-6\/"},"modified":"2026-08-10T11:16:52","modified_gmt":"2026-08-10T11:16:52","slug":"cbtnuggets-introduction-to-machine-learning-and-ai-engineering-2026-6","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/cbtnuggets-introduction-to-machine-learning-and-ai-engineering-2026-6\/","title":{"rendered":"CBTNuggets \u2013 Introduction to Machine Learning and AI Engineering 2026-6"},"content":{"rendered":"
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Description<\/h2>\n

Introduction to Machine Learning and AI Engineering is a course on the concepts, tools, and workflows used to build modern artificial intelligence systems, published by CBTNuggets Online Academy. Students will learn how machines can analyze data, identify patterns, make predictions, and support intelligent decision-making through machine learning techniques. This course introduces core concepts of AI and machine learning, including data preparation, model training, evaluation, feature engineering, and practical implementation using industry-standard tools and frameworks. You will understand how models learn, build machine learning models, and master rigorous evaluation and pipeline design. The course covers machine learning fundamentals such as regression and tensors, then moves on to real-world LLM applications, focusing on illusion reduction and retrieval-based applications.<\/p>\n

Individuals will also explore the fundamentals of AI engineering, including model deployment, automation, scalability, and real-world application development. You will integrate latency awareness to ensure testable, data-driven outputs, and learn how modern AI is scaled to production using tools like PyTorch, TensorFlow, and LangChain. By the end, you will have a foundation in AI workflow thinking and be equipped with skills like machine learning principles, RAG, evaluation, and AI security to consistently build reliable applications.<\/p>\n

What you will learn in Introduction to Machine Learning and AI Engineering:<\/h3>\n