Master HuggingFace Transformers in 2026: text classification, NER, summarization, translation, question answering, image classification, and audio — with production deployment patterns.
Build an AI code review system using GPT-4o and Claude: automated bug detection, security vulnerability scanning, code quality analysis, PR comments via GitHub Actions, and custom review rules.
Build robust LLM evaluation pipelines in 2026: RAGAS for RAG systems, LLM-as-judge, human evaluation, automated benchmarks, A/B testing models, and production quality monitoring.
Complete guide to the Anthropic Claude API in 2026: text generation, vision, tool use, streaming, computer use, prompt caching, extended thinking, and production patterns with Python and TypeScript.
The complete AI/ML roadmap for 2026: what to learn, in what order, with resources and timelines. From Python basics to building production LLM applications, RAG systems, and deploying ML models at scale.