3 posts
A concrete roadmap to land a global remote AI Engineer position from zero in 12 months: 5 production-level projects, GitHub portfolio + blog strategy, $200K+ offer. Karpathy, Raschka, 3Blue1Brown, Andrew Ng curriculum; HuggingFace + LangChain + Anthropic Academy free programs; Turkish alternatives; case study (14-month timeline); and interview strategy for top offers.
Detailed math guide for AI/ML engineering: 5 main areas (Linear Algebra, Calculus, Probability + Statistics, Optimization, Information Theory), per area depth required by job type (AI Engineer / ML Engineer / Research Scientist differ), 50+ concepts (vector/matrix/derivative/gradient/eigenvalue/SVD/lambda/expected value/MLE/MAP/Adam/Lagrange/KL divergence), Turkish + English learning resources (3Blue1Brown / Gilbert Strang / Khan Academy / BTK Akademi), Andrew Ng vs Andrej Karpathy approach difference, 6-month math learning plan, which formulas to memorize vs intuition only, practical vs theoretical math, math interview questions, course order for beginners, sequential book recommendations.
Detailed 12-month roadmap to become an AI engineer from zero: Month 1-2 Python + math foundation, Month 3-4 classic ML, Month 5-6 deep learning + PyTorch, Month 7-8 LLM + RAG + agentic, Month 9-10 MLOps + production, Month 11-12 specialized + job search. Each month with specific courses (Coursera, fast.ai, DeepLearning.AI), books, milestone projects, Turkish resources (BTK Akademi, Coursera Turkish subtitles), daily study plan, portfolio requirements (5-10 GitHub projects), Kaggle strategy, certifications, job application tactics. SMB/freelance/abroad options.