Structured Learning
Free, structured learning paths for AI and data science — no cost, no catch.
A project-based course — build eight real, production-quality Agent Skills for Python, SQL, GitHub, Kubernetes, Terraform, AWS, LangGraph, and banking compliance, then compose them into one agent.
9 lessons
Design patterns, testing at scale, security, versioning, CI/CD, and marketplaces for Agent Skills used by thousands of agents. Advanced course for AI engineers and architects.
13 lessons
Learn Agent Skills from zero — the open SKILL.md format for packaging expertise into portable capabilities for Claude, Claude Code, and any compatible AI agent. Free beginner course.
10 lessons
Build your first AI agents from scratch — learn how agents use tools, maintain memory, and complete multi-step tasks autonomously. Free beginner course.
10 lessons
Learn to fine-tune large language models efficiently using LoRA, QLoRA, and PEFT. Practical intermediate course covering the full fine-tuning workflow from dataset to deployment.
11 lessons
Learn MLOps from scratch — build CI/CD pipelines for ML models, set up monitoring, and deploy to production. Beginner-friendly, free 8-week course.
11 lessons
Master prompt engineering from zero — learn to write effective prompts, control LLM behavior, and build reliable AI applications. Free 6-week beginner course.
10 lessons
Build a production-ready Retrieval-Augmented Generation (RAG) system from scratch. Learn chunking strategies, embedding models, vector search, re-ranking, and evaluation. Free intermediate course.
11 lessons
A complete career-grade course for aspiring Forward Deploy Engineers (FDE). Learn the embedded-engineer model, discovery and domain capture, on-site data plumbing, operational app building, deployment, and the soft skills that separate good FDEs from great ones.
20 lessons
Master the ontology — the semantic layer that turns raw data into a connected, operational model of your business. Learn object types, link types, actions, functions, and how to build a complete production-ready ontology.
18 lessons
Everything you need to pass the Anthropic Claude Certified Architect exam. Covers all 5 domains: model selection, prompt engineering, context & memory, tool use & agents, and safety & deployment.
18 lessons
Master machine learning in Java using the SuperML 2.1.0 framework. Build enterprise-grade ML applications with 400K+ predictions/second performance and native Java APIs.
15 lessons
Master cutting-edge deep learning architectures including transformers, GANs, and modern NLP techniques
16 lessons
Start your deep learning journey with fundamentals, basic neural networks, and your first deep learning models
19 lessons
Complete data science pipeline from data collection to business intelligence and advanced analytics
11 lessons
Advanced neural networks, optimization techniques, and practical deep learning implementations
23 lessons
Advanced machine learning techniques, ensemble methods, and model optimization for real-world applications
10 lessons
Start your AI journey with machine learning fundamentals, data science basics, and your first ML models
16 lessons
