Browse a curated catalog of courses across every category — built by experts, learned at your pace. Level up, earn certificates, and track every win along the way.
38
Courses to explore
Learn at your pace
Start, pause, and pick up anytime
ML at scale — Apache Spark, deep learning with Keras/TensorFlow/PyTorch, and big data pipelines. Get job-ready as an AI engineer. Deploy ML algorithms and pipelines on Apache Spark. Build, train, and deploy deep architectures including CNNs, RNNs, autoencoders, and generative AI models including LLMs.
Build, configure, and share Claude Code Skills — reusable markdown instructions for automated task execution. Create a library of skills that encode your team's expertise for consistent AI-assisted workflows.
Full-spectrum API course — from basic completions to tool use, streaming, and production deployment. Build real applications powered by Claude from the ground up. Comprehensive guide covering messages, system prompts, multi-turn conversations, and advanced features.
Understand LLMs, transformer models, and responsible AI principles for professional application. Google Cloud's comprehensive path covering foundations of large language models, diverse applications, and ethical considerations for responsible AI development and deployment. Features interactive quizzes with immediate feedback.
End-to-end AI automation — n8n workflows, RAG agents, function calling, and deployable business agents. Covers essential and advanced concepts in automation using AI, LLMs, vector databases, and Retrieval-Augmented Generation. Includes 29 downloadable JSON workflows to accelerate learning and implementation.
Advanced AI-assisted development — design patterns, database architecture, and system optimization with LLMs. Three self-paced courses covering generative AI basics, prompt engineering approaches with IBM Watsonx, and identifying AI programming risks and ethics issues with mitigation strategies.
Explore generative AI capabilities, use cases across industries, and common tools for text, code, and image generation. Learn fundamentals and evolution of generative AI with hands-on labs using IBM Generative AI Classroom and ChatGPT. Discover applications in IT, finance, healthcare, education, entertainment, and HR.
Learn Claude's core features for everyday work tasks with hands-on practice and resources. From writing assistance to analysis, discover how to make Claude a productive part of your daily workflow.
Build MCP servers and clients from scratch in Python. Master tools, resources, and prompts primitives that connect AI models to real-world data and capabilities.
Hands-on deep dive into Claude Code — sub-agents, hooks, slash commands, and multi-agent workflows. Master Claude Code from setup to advanced workflows with 8 sections and 26 lectures. Designed to get you productive with Claude Code in a single intensive day.
Deep dive into LLM architectures, NLP with PyTorch, transformers, RAG pipelines, and production AI apps. Master Gen AI engineering and large language models including GPT, LLaMA, and BERT. Build apps using Hugging Face transformers, PyTorch, RAG and LangChain framework. Complete a capstone project developing a question-answering bot.
Build a full-stack app from scratch with Claude Code — prototyping, testing, CI, and production deployment. Taught by Frank Kane, former senior engineer at Amazon. Build a complete online radio station web app using AI-assisted "vibe coding" from prototype to production. Covers unit tests, security scans, and continuous integration.
