Available Courses

Choose a course aligned with your learning goals. From Python basics to advanced AI agents.

Python Programming

Master Python from fundamentals to advanced topics

Python Fundamentals: Programming Foundations

Master Python programming from the ground up with interactive examples and visual explanations. Perfect for beginners with no prior programming experience.

🕒555 minutes
📚Beginner
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Machine Learning

Classical ML algorithms and production systems

Classical Machine Learning: Supervised Learning Foundations

Master the mathematical foundations and practical implementation of classical supervised learning algorithms. Build intuition through interactive visualizations while understanding the theory that powers modern ML.

🕒900 minutes
📚Intermediate
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Advanced ML: Unsupervised Learning & Production

Master advanced machine learning techniques including unsupervised learning, neural networks fundamentals, and production deployment. Build production-ready ML systems with modern MLOps practices.

🕒720 minutes
📚Advanced
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Natural Language Processing

From transformers to production LLM systems

NLP Fundamentals: Core Concepts and Architectures

Master the essential concepts of Natural Language Processing, from text preprocessing to transformer architectures. This course provides a solid foundation in NLP theory and core techniques without diving into production complexities.

🕒615 minutes
📚Intermediate
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Advanced NLP: Training & Production Systems

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Master the engineering and production aspects of Natural Language Processing. Learn to train, fine-tune, optimize, and deploy language models at scale. This course covers everything from distributed training to production monitoring.

🕒765 minutes
📚Advanced
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AI Agents

Building autonomous intelligent systems

AI Agents: Building Autonomous Intelligent Systems

Master the art and science of building AI agents that can perceive, reason, plan, and act autonomously. This course bridges the gap between language models and intelligent systems that can solve complex real-world problems through tool use, planning, and multi-agent coordination.

🕒1230 minutes
📚Advanced
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