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How Things Work: An Introduction to Physics
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Learn AI Models, earn certificates with free online courses from Stanford, MIT, University of Michigan and other top universities around the world. Read reviews to decide if a class is right for you.
Master building generative AI solutions on AWS using Amazon Bedrock, RAG pipelines, Amazon Q Developer, and open-source LLMs, while evaluating trade-offs between managed services and no-code platforms.
Master AI model engineering through feature tuning, explainability methods like SHAP/LIME, and structured experimentation to transform black box models into trusted, business-ready solutions.
Master transfer learning, model fine-tuning, and optimization techniques to deploy efficient deep learning models in production environments with balanced accuracy and performance.
Master evaluation techniques for multimodal AI models while ensuring ethical deployment through bias detection, interpretability assessment, and governance frameworks.
Master optimizing ML workflows with PyTorch, GPU acceleration, data pipelines, and edge deployment using TensorFlow Lite for real-world AI production environments.
Master fine-tuning, calibration, and evaluation of vision AI models across classification, detection, and segmentation tasks using transfer learning, AWS pipelines, and post-processing techniques.
Unlock advanced ensemble modeling techniques to balance performance with interpretability while mastering statistical validation for production AI systems.
Master edge AI deployment by evaluating ML models with TensorFlow Lite, analyzing data slices for fairness, and optimizing quantization trade-offs for reliable real-world performance.
Learn to generate content grounded in your documents using Vertex AI's Gemini models. Explore techniques for enhancing AI outputs with custom data sources.
Master image preprocessing techniques and motion analysis for computer vision, covering normalization, color-space conversions, optical flow, and frame differencing in hands-on implementations.
Master building and evaluating predictive models using scikit-learn, cross-validation, and performance metrics like F1 to optimize logistic regression and clustering for retail and credit-risk tasks.
Master MCP protocol to build TypeScript servers that enable AI agents to use tools, access data, and execute real-world actions with OpenAI integration.
Master agentic AI by building context-aware, tool-empowered agents with OpenAI SDK in JavaScript, from basic setup to multi-agent workflows and security implementation.
Master Claude agent development using pure TypeScript and Anthropic APIs. Build autonomous agents, integrate tools, orchestrate multi-agent systems, and implement async workflows.
Master building an AI tutor with DeepSeek and PHP, covering API integration, parameter customization, conversation management, and system prompts for personalized learning experiences.
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