Introduction to Machine Learning and AI Engineering | CBT Nuggets [Update 06/2026]
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Genre: eLearning[/center]
This AI and Machine Learning course helps you build reliable AI systems and deploy usable AI/ML workflows in any job. You'll understand how models learn, build machine learning models, and master rigorous evaluation and pipeline design. The course lays out ML fundamentals like regression and tensors, then builds toward real LLM applications, focusing on hallucination reduction and retrieval-based apps. You'll integrate latency awareness to ensure testable, grounded outputs, learning how modern AI scales in production using tools like PyTorch, TensorFlow, and LangChain. By the end, you'll have a foundation in AI workflow thinking, equipping you with skills like ML fundamentals, RAG, evaluation, and AI security to consistently build reliable applications.
What you'll learn with AI & Machine Learning training
Design effective prompts and workflows for LLM-based applications
Create portfolio projects that prove familiarity with machine learning models
Engineer features and evaluate model performance using learning curves
Build regression and classification models using PyTorch and TensorFlow
Apply gradient descent, backpropagation, and tensor math to model training
Build LangChain-powered RAG apps that answer document questions
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