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Level 1 Learning Category

AI & Machine Learning Courses

Explore structured learning paths covering artificial intelligence, machine learning, deep learning, generative AI, large language models, natural language processing, computer vision, AI agents and other modern AI technologies.

Explore AI & Machine Learning Subjects

Choose a subject below to follow a structured learning path. Each subject contains its own detailed collection of individual lessons, concepts and future learning resources.

AI & Machine Learning Learning Paths

Select a subject to explore its complete structured learning path.

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Artificial Intelligence Fundamentals

Build a strong foundation in artificial intelligence, including its concepts, history, types, systems, applications and future.

Explore Artificial Intelligence →

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Machine Learning Fundamentals

Learn how machine learning systems use data, algorithms and models to identify patterns and make predictions.

🎯

Supervised Learning

Explore machine learning methods that learn from labeled data to make predictions and classifications.

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Unsupervised Learning

Learn how AI systems discover hidden patterns, structures and relationships within unlabeled data.

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Deep Learning

Explore deep neural networks, architectures, model training and practical deep learning applications.

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Neural Networks

Understand artificial neurons, layers, activation functions and the core structure of neural network systems.

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Generative AI

Learn how modern AI systems generate text, images, audio, video and other forms of digital content.

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Large Language Models

Explore modern language models, tokens, context, training, fine-tuning and real-world LLM applications.

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Natural Language Processing

Learn how AI systems process, understand, analyze and generate human language.

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Computer Vision

Explore how artificial intelligence analyzes images, video and other forms of visual information.

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Reinforcement Learning

Learn how AI agents improve decisions through actions, feedback, rewards and interaction with environments.

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AI Agents

Explore autonomous AI systems that can reason, plan, use tools and complete multi-step tasks.

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Prompt Engineering

Learn how to design effective instructions and workflows for modern artificial intelligence systems.

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MLOps

Learn how machine learning models are deployed, monitored, maintained and managed in production environments.

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Responsible AI

Explore AI ethics, fairness, safety, transparency, privacy and responsible development practices.

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AI Evaluation

Learn how artificial intelligence systems and models are tested, evaluated and measured for quality and performance.

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Recommendation Systems

Explore AI systems that recommend products, content, services and information based on data and user behavior.

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Multimodal AI

Learn about AI systems that understand and process multiple types of information such as text, images, audio and video.

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Speech AI

Explore speech recognition, speech synthesis, voice processing and AI-powered voice applications.

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Edge AI

Learn how artificial intelligence models can operate on devices and systems outside centralized cloud infrastructure.

How This Learning Category Is Organized

Each subject leads to its own structured learning page containing detailed individual lessons and future learning resources.

1

Choose a Subject

Select an AI or Machine Learning subject from the learning paths above.

2

Follow the Learning Path

Explore the structured subject page and its available lessons.

3

Complete Individual Lessons

Learn concepts step by step as individual AISkillsUp lessons are published.

Coming Soon This AI and Machine Learning learning path is currently being prepared and will be available as new courses are published.