Certificates & Education
Year 4 (2030): Specialization and Industry Certs
Cloud ML deployment, pipelines, and production constraints.
Applied engineering skills for model building and deployment workflows.
Year 3 (2029): Deep Learning and NLP
Neural nets, optimization, and practical deep learning foundations.
Transformers, tokenization, fine-tuning, and modern NLP workflows.
Practical model implementation and framework-level competence.
Year 2 (2028): Core ML + Applied AI
Supervised learning, bias/variance, and classic ML fundamentals.
Search, logic, probabilistic reasoning, and applied AI problem-solving.
Practical ML patterns, feature engineering, and model evaluation.
Year 1 (2027): Math Foundations for ML
Structured understanding of Linear Algebra for ML + systems thinking.
Core math intuition for ML: vectors, matrices, and optimization basics.
Diplomas
Focus: AI/ML + Systems Foundations.
Business administration and management foundations.