A comprehensive resource for going from software engineer/non-software engineer to professional AI engineer. Navigate your journey to becoming a professional AI Engineer.
Understand what an AI Engineer is, key responsibilities, and career pathways.
Master mathematics, computer science fundamentals, and programming skills.
Learn machine learning, deep learning, and AI model development.
Master LLMs, Agentic AI, RAG, Multimodal AI, and Embodied AI systems.
MLOps, LLMOps, AI governance, ethics, and enterprise deployment strategies.
Learn ethical AI principles, bias detection, safety, and regulatory compliance.
This Edition 2 reflects the latest trends in AI engineering for 2025, including Agentic AI, Advanced RAG systems, Multimodal AI, and Enterprise AI deployment.
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