AI careers are expanding far beyond traditional machine learning. Today’s professionals need skills across LLMs, Generative AI, AI agents, RAG, enterprise AI, architecture, security, governance, product strategy, and AI leadership. I created a collection of GitHub repositories designed to provide structured, hands-on learning paths for different AI career directions. Start with the foundations: Complete AI Engineer Bootcamp 2026 https://github.com/vivianaranha/complete-ai-engineer-bootcamp-2026 Generative AI Engineer Masterclass 2026 https://github.com/vivianaranha/generative-ai-engineer-masterclass-2026 LLM Engineering Bootcamp 2026 https://github.com/vivianaranha/llm-engineering-bootcamp-2026 Go deeper into autonomous systems: Agentic AI Engineer Bootcamp 2026 https://github.com/vivianaranha/agentic-ai-engineer-bootcamp-2026 AI Agents with Python: Beginner to Production https://github.com/vivianaranha/ai-agents-with-python-beginner-to-production-2026 Build your portfolio: 100 Days of AI Engineering https://github.com/vivianaranha/100-days-of-ai-engineering-2026 100 AI Projects: Build Your AI Engineer Portfolio https://github.com/vivianaranha/100-ai-projects-build-your-ai-engineer-portfolio-2026 Move into architecture and enterprise delivery: AI Architect Masterclass https://github.com/vivianaranha/ai-architect-masterclass-2026 Enterprise AI Engineer Bootcamp https://github.com/vivianaranha/enterprise-ai-engineer-bootcamp-2026

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