Back to mind mapsAI and Agentic Engineering
AI and Agentic Engineering
Overview
Month 1: Python, Git, and engineering foundations
Week 1: Python fundamentals
Week 2: Functions, data structures, and pythonic code
Week 3: OOP, design patterns, and files
Week 4: Git, APIs, and testing
Month 2: Data, text, and embeddings
Week 5: Data handling
Week 6: Data cleaning, features, and pipelines
Week 7: Text processing and NLP foundations
Week 8: Embeddings and semantic search
Month 3: Generative AI and prompt engineering
Week 9: LLM fundamentals and architecture
Week 10: Prompt engineering
Week 11: Multi provider GenAI APIs
Week 12: Function calling, tool use, and structured outputs
Month 4: RAG, vector stores, and frameworks
Week 13: RAG fundamentals and chunking
Week 14: Vector databases
Week 15: Advanced RAG
Week 16: Frameworks and observability
Month 5: Machine learning for AI engineers
Week 17: ML fundamentals and math
Week 18: Core ML models
Week 19: Evaluation and experiment tracking
Week 20: Fine tuning
Month 6: Agentic systems, production, and capstone
Week 21: Agentic AI systems
Week 22: Evaluation, evals, and cost
Week 23: Production readiness and MLOps
Week 24: Capstone and portfolio
Deep dive supplements (from the twelve week source)
Resource master reference
Interview focus
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